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1
A STATISTICAL REPORT ON VISITORS
OF PATENGA SEA BEACH IN
CHITTAGONG DISTRICT
Submitted to the
DEPARTMENT OF STATISTICS
UNIVERSITY OF CHITTAGONG
CHITTAGONG, BANGLADESH.
2
A DISSERATION SUBMITTED TO
THE UNIVESITY OF CHITTAGONG IN PARTIAL FULFILLMENT
OF THE
REQUIREMENT FOR THE DEGREE OF MASTERS OF SCIENCE (M S)
IN STATISTICS
SUBMITTED BY
EXAM ROLLS NO: 2009/32
Registration No: 12737
Season: 2008-2009
Year of Exam: 2009
CHITTAGONG DEPARTMENT OF STATISTICS
OCTOBER, 2011 UNIVERSITY OF CHITTAGONG
CHITTAGONG, BANGLADESH
3
Abstract
This study is an attempt to examine the characteristics of the Visitors in
Patenga Sea Beach, Chittagong. A total of 105 randomly selected
respondents (70 males and 35 females) were surveyed. An opinion poll has
been conducted in the recreational Patenga Sea Beach. On the light of the
objectives of the study- bi-variate analysis has been carried out by
employing Chi-square test of independence to examine whether each of the
selected factors has significant association with type of income, age, and sex
and security condition. Here it indicates that age of the visitors, educational
qualification of the visitors, and monthly income of visitors, from where
they have came, and numbers of city people have highly significant effect on
the types of visitors. Other significant factors found to be are income, sex,
age, opinion about government steps, accompany of visitors.
4
Acknowledgement
I would express my immense indebtedness, sincere thanks and deep
appreciation and regard to my reverend teacher and research supervisor for
his untiring guidance, valuable suggestions, corrective advice and assistance
for successful completion of this research work in a befitting manner. I also
express my gratitude to my beloved all other teachers of the department of
statistics, University of Chittagong.
I particularly offer my heartfelt gratitude to the numerous responds who
have given their valuable time and co-operation by providing the required
information. I hope that this project shall achieve a great recognition if it is
considered from a generous and affectionate angle of vision.
At last I am alone responsible for the errors and shortcoming in this work.
Chittagong University, Chittagong. Examination Roll: 2009/32
October, 2011. Registration No: 12737
Session: 2008-2009
5
CONTENTS Page number
Chapter-1: INTRODUCTION 06-11
1.1. Introduction
1.2. Objective of the Study
1.3. Importance of the Study
1.4. Organization of the Study
1.5. Selection and Collection of Data
1.6. Preparing the Questionnaire
1.7. Data Processing and Analysis
1.8. Limitations
Chapter-2: UNIVARIATE ANALYSIS 12-19
Chapter-3: BIVARIATE ANALYSIS 20-26
Chapter-4: SUMMARY AND CONCLUSION 27-30
APPENDIX: 31-33
Questionnaire
Reference
6
Chapter-1
INTRODUCTION
1.1. INTRODUCTION:
The city of Chittagong is a major tourist attraction in Bangladesh. Its green
hills and forests, its broad sandy beaches and its fine cool climate always
attract the holiday-markers. Described by the Chinese traveler poet, Huen
Tsang (7th century AD) as "a sleeping beauty emerging from mists and
water" and given the title of "Porto Grande" by the 16th century Portuguese
seafarers. Chittagong is filled with dense green forests, endless rolling hills,
a moderate climate and breathtaking beaches. Since the 7th century,
Chittagong has been mentioned in many documents as a seaport of mystical
beauty and magnificent charm. The bustling harbor stands in stark contrast
to the tranquility and peaceful surroundings of the city.
Chittagong has been a seaport since ancient times. Arab traded with the port
from the 9th Century AD. The Chittagong region was under the Visalia
kingdom of Arakan during the Sixth to Eighth Centuries and under the
Mrauk U kingdom of Arakan in the 16th and 17th Centuries. Chittagong had
been under the control of the Arakanese or kings of Arakan for hundreds of
years. An account by historian Lama Taranath has revealed a Buddhist king
Gopichandra had his capital at Chittagong in the Tenth Century, and
according to Tibetan tradition, Chittagong was the birthplace of the Buddhist
Tantric Tilayogi, who lived and worked in the Tenth Century. In the
Fourteenth Century, explorer Ibn Batuta passed through Chittagong during
his travels.
Sultan Fakruddin Mubarak Shah of Sonargoan conquered Chittagong in
1340. Sultan Giasuddin Mubarak Shah constructed a highway from
Chittagong to Chandpur and ordered the construction of many lavish
mosques and tombs. After the defeat of Mahmud Shah in the hands of Sher
Shah in 1538, the Arakanese regained Chittagong. From this time onward,
until its conquest by the Mughals, this region was under the control of the
Portuguese and the Magh pirates (a notorious name for Arakanese) for 128
years.
7
The Mughal Commandar Shayesta Khan and his son Buzurg Umed Khan
expelled the Arakanese from the area in 1666 and established Mughal rule
there. They renamed Chittagong as Islamabad. The city was occupied by
Burmese troops shortly in First Anglo-Burmese War in 1824 and the British
increasingly grew active in the region and it fell under the British Empire.
Many visitors to Bangladesh find Chittagong to be the perfect tourist
destination. It is filled with dense green forests, endless rolling hills, a
moderate climate and breathtaking beaches. Since the seventh century,
Chittagong has been mentioned in many documents as a seaport of mystical
beauty and magnificent charm. The bustling harbor stands in stark contrast
to the tranquility and peaceful surroundings of the city. And attractions, such
as Patenga Beach, ensure a constant influx of travelers and visitors.
The Beach itself is quite sandy, with a few rocky patches here and there.
Most visitors come to Patenga Beach as it is known for having some of the
most stunning sunsets and sunrises in Bangladesh. The more adventurous
travelers will also be able to enjoy a river cruise on the Karnaphuli River, or
a boat trip onto the ocean waves.
Nature enthusiasts will find Patenga Beach to be a haven for most of the
wading bird species of Bangladesh and if lucky, bird watchers will also be
able to see spoon-billed sandpipers running around. If the crowds at Patenga
Beach become too much, visitors should move on to Parky Beach, which is
just a quieter extension of Patenga. Here, the beach is lined with massive
shady palm trees and fishing boats. Fishermen sit around peacefully, going
about their daily chores while sea gulls patiently circle overhead waiting for
the odd scrap of fish to be thrown their way.
It is the perfect location for a quiet picnic or day of relaxation. Visitors will
find Patenga Beach to be diverse, fascinating and, above all beautiful. It is a
tourist destination that lures visitors with the attractions of good weather,
natural splendor and the quiet lapping of the ocean waves at their feet. Every
moment at Patenga Beach is a photographic opportunity and an
unforgettable memory in the making.
8
Description of the Study Area (Patenga Sea Beach):
Relax on the Sands of Patenga Beach
It lies in the extreme southeast of the country between 20_35' and 22_59'
north latitude and 91_27' and 92_22' east longitude. The city now covers an
area of 168 sq. km., but the statistical metropolitan area (SMA) is 986.34 sq.
km. and has a population of near to three million (BBS 2000). Chittagong is
geographically well placed for the visitors of the country.
Country Bangladesh
Division: Chittagong Division.
District: Chittagong District.
Establishment: 1340.
Granted city status:1863
Government: - City Mayor Md. Monzur Alam.
Area: - Metropolis 168 km2 (64.9 sq mi)
Population: (2010) - Metropolis2,979,107
Density: 15,351/km2 (39,758.9/sq mi) - Metro 3,858,093
Time zone BST: (UTC+6)
Postal code: 4000
Table 1
Patenga Sea Beachs in
Geographical location
9
GDP (2010): $25.5 billion
Calling code: 31
Patenga (Bangla: পতেঙ্গা) is a sea beach located 14 kilometers south of the
port city of Chittagong, Bangladesh. It is near the mouth of the Karnaphuli
River. Sunset at Patenga Beach is Cloudy weather. Patenga is a popular
tourist spot. The beach is very close to Bangladesh Naval Academy of
Bangladesh Navy, and Shah Amanat International Airport. The beach width
is narrow and swimming in the seas is not recommended. Part of the
seashore is built-up with concrete walls. Also large blocks of stones have
been laid out to prevent erosion. During 1990s a host of restaurants and
kiosks have sprouted out around the beach area. After the sun-down, drug-
peddlers start to approach visitors. Also, alcohol peddling is very common.
Lighting of the beach area has enhanced the security aspect of visiting in the
evening.
1.2. Importance of the Study:
Through the study, we have expected to give a brief picture regarding the
socio-economic characteristics of the visitors of the Patenga sea Beach. The
study, I believe, will give some important information to the planners with
valuable inside required for policy making and their meaningful
implementation. For the development of the tourism of our country as a
whole, such study is essential and is of great importance. Also it is expected
that such type of study would be of greater interest for the visitors coming in
the Patenga Sea Beach.
1.3. Objective of the Study
Generally, social status, income, expenditure, etc are the main determinants
in our social life, for every professional people. We are going to study the
different types of the visitors in different income in Chittagong district at
Patenga Sea Beach.
The main objectives are to study:
10
 The characteristics of the visitors are of Patenga Sea Beach in
Chittagong district.
 The association of several background characteristics of the visitors
with their types of income.
 Various factors affecting to the visitors at the sea beach.
 To know the attitude of visitors about the natural beauty of Patenga
Sea Beach.
1.4. Organization of the Study:
The work has been organized under the guidance of my reverent teacher
from the department of statistics, University of Chittagong.
At first I prepared a questionnaire according to the advice of my respected
teacher. After preparing a questionnaire I have collected data from
105respondents. By consulting my project supervisor I perform my analysis.
1.5. Selection and Collection of Data:
There are many techniques to select data. Here, in this study, we used the
technique simple random sampling. The data should be collected keeping in
view the objectives of the survey. All kinds of mistakes have been corrected
where it was found in questionnaire and answers have been observed
carefully. As a result there is no irrelevant information. The tendency was
should not be collected too many data but the important one and some of
which are never subsequent examined and analyzed. The process of data
collection depends upon the kind of study. The data was collected using
interviewed method. Attention was given to record actual and true statement
by the respondent. The questionnaire was filled up with verbal not discuss
anything with other. I’ve tried my best to collect all information, which are
related to my study.
1.6 Preparation and Questionnaires:
The questionnaire was designed in such a way that maximum information
may be obtained within short time. The questionnaire was prepared in
simple short language. Most of the ambiguous were avoided. The language
of the questionnaire was easy English, so that the respondents understood
properly.
11
1.7. Data Processing and Analysis:
The study conducted interviews on people visiting various prominent
visitors of Chittagong sea beach with semi-structured questionnaires
designed for this purpose. A total of 105 respondents (70males and 35
females) were surveyed representing different demographic and socio-
economic conditions. The selection of respondents was done randomly. The
`hit and miss' method was applied in the survey. In this method, the visitors
were interviewed on basis of their first appearance. Those who were not
interested or reluctant to respond were not bothered. The interviewing of the
people were completed employing 4 weekends (Fridays) and 3 working days
in the months of November 2011. Data were analyzed on the basis of socio-
economic and demographic factors of the respondents.
1.8. Limitations:
Every project work has some inherent limitation, which should be pointed
out by the concerned authority.
Since survey work is done on part of population for saving cost and time,
hence the result is generally expected to affect by in addition to some hidden
errors. In the period of interviewing some of the respondents may not
provide actual information either consciously or unconsciously. For
instance, the youngest persons are tried to tell his/her age less some quantity
and the oldest persons are tried to tell his/her age plus some quantity. Most
of the respondents are tried to hide their actual income including many other
prestige concern questions.
Since alcohol peddling is very common in Patenga Sea Beach, so their
attitude is different from the right person.
In these circumstances, I tried of my best to collect actual information
formation from the respondents after describing them the background of the
study. In case of question about visiting I faced problem to get correct
answers from the visitors because of shyness and other causes.
Finally, it is needless to say that users need careful and awareness while
using the finding of the study.
12
Chapter-2:
UNIVARIATE ANALYSIS
Table1: Percentage distribution of respondent according to their sex.
Sex of the Respondent
Comment: From the above graph we see that 66.7% respondents are male
and 33.3% are female respondent.
Frequency
70
35
0
10
20
30
40
50
60
70
80
Male Female
Frequency
Sex Frequency Percentage
Cumulative percentage
Male
Female
Total
70 66.7 66.7
35 33.3 100.0
105 100.0
13
Table2: Percentage distribution of respondent according to their marital
status
Comment: From the above table we see that 31.4% respondents are married,
66.7% are unmarried and 1.9% is others.
Marital status of the Visitors
Married
31%
Unmarried
67%
Others
2%
Married
Unmarried
Others
Marital status
Frequency Percent
Cumulative
Percentage
Married 33 31.4 31.4
Unmarried 70 66.7 98.1
Others 2 1.9 100.0
Total 105 100.0
14
Table3: Percentage distribution of respondent according to their Religion of
respondent
Comment: From the above table we see that 86.7% respondents are
Muslims, 12.4% are Hindus and 1.0% is others.
86.7 91
12.4 13
1 1
0
20
40
60
80
100
Islam Hindus others
Religion of the Respondent
Percentage
Frequency
Religion Frequency Percentage Cumulative Percentage
Islam 91 86.7 86.7
Hindu 13 12.4 99.0
others 1 1.0 100.0
Total 105 100.0
15
Table4: Percentage distribution of respondent according to their Education
of respondent.
Education Frequency Percentage
Cumulative
Percentage
Primary 14 13.3 13.3
Secondary 31 29.5 42.9
graduate & above 60 57.1 100.0
Total 105 100.0
Comment: From the above table we see that 13.3% respondentare Primary,
29.5% are Secondary and 57.1% are graduate & above.
Table5: Percentage distribution of respondent according to their
Occupation of respondent.
Occupation Frequency Percentage Cumulative Percentage
Student 30 28.6 28.6
Service holder 52 49.5 78.1
Business man 11 10.5 88.6
others 12 11.4 100.0
Total 105 100.0
Comment: From the above table we see that 28.6% respondents are
Student, 49.5% are Service holder and 10.5% are Business man and 11.4%
are others.
16
Table6: Percentage distribution of respondent according to their income.
Income Frequency Percentage Cumulative Percentage
No income 14 13.3 13.3
Below 5000 taka 12 11.4 24.8
5000-10000 taka 31 29.5 54.3
10000-15000 taka 18 17.1 71.4
Above 15000taka 30 28.6 100.0
Total 105 100.0
Comment: From the above table we see that 13.3% respondents have no
income, 11.4% have below 5000 taka income, 29.5% have 5000-10000 taka
income, 17.1% have 10000-15000 taka income and 28.6% have above15000
taka income.
Table7: Respondent no. of visited time.
Frequency Percentage Cumulative Percentage
First time 11 10.5 10.5
Second time 12 11.4 21.9
More than
second
82 78.1 100.0
Total 105 100.0
Comment: From the above table we see that 10.5% respondents have
visited first time, 11.4% have visited second time, 78.1% have visited more
than second time.
17
Table8: Percentage distribution of respondent for preference of scenery.
Frequency Percentage
Cumulative
Percentage
To see sunset 27 25.7 25.7
Traveling by boat 10 9.5 35.2
To see sea 55 52.4 87.6
Others 13 12.4 100.0
Total 105 100.0
Comment: From the above table we see that 25.7% respondents have come
to see sunset, 9.5% have come to Traveling by boat, 52.4% have come to see
sea, and 12.4% have come to for other purposelike as romance or to play
cricket, football etc.
Table9: Percentage distribution of Security condition:
Security condition Frequency Percent Cumulative Percent
Yes 99 94.3 94.3
No 6 5.7 100.0
Total 105 100.0
Comment: From the above table we see that 94.3% respondents think
Patenga Beach has enough secured and 5.7% respondents think Patenga
Beach has not enough secured.
18
Table10: Percentage distribution of visit other place except patenga.
Visit other place Frequency Percent Cumulative Percent
yes 98 93.3 93.3
no 7 6.7 100.0
Total 105 100.0
Comment: From the above table we see that 93.3% respondents visit other
place except Patenga Beach and 6.7% respondents visit Patenga Beach only.
Table11: Percentage distribution of guidance to come patenga.
Guidance Frequency Percent Cumulative Percent
Yes 15 14.3 14.3
No 90 85.7 100.0
Total 105 100.0
Comment: From the above table we see that 14.3% visitor s has taken
guideline to come Patenga Beach and 85.7% visitors do not take any
guideline to come Patenga Beach.
19
Table12: Suggestion about Patenga Beach.
Opinion on
Patenga Beach Frequency Percentage
Cumulative
Percentage
Yes 24 22.9 22.9
No 81 77.1 100.0
Total 105 100.0
Comment: From the above table we see that 22.9 % visitors think govt. has
taken adequate step to develop Patenga Beach and 77.1% visitors do not
think govt. has taken adequate step to develop Patenga Beach.
Table13: Percentage distribution of way to come Patenga Beach.
Comment: From the above table we see that 83.8% visitors has come road
way to Patenga Beach and 16.2% has come other way to Patenga Beach.
22.9
77.1
24
81
0
20
40
60
80
100
Percentage Frequency
Opinion about Patenga Sea Beach
YES
NO
Frequency Percent Cumulative Percent
Road way 88 83.8 83.8
Other way 17 16.2 100.0
Total 105 100.0
20
CHAPTER-3
BIVARIATE ANALYSIS
Table1:Cross tabulation for associationbetweenrespondentmonthly
income status and sexof the respondents:
HYPOTHESIS:
Ho: There is no association between respondent monthly income status and
sex of the respondents.
H1: There is an association between respondent monthly income status and
sex of the respondents.
Here the calculated value of chi-square is-
χ²cal =17.270 with 1 d.f.
Tabulated value of chi-square at 5% level of significance with 1 d.f. is-
χ² tab = 3.841
Sexof respondent* respondent
income status
respondent income status
Total
Unsatisfacto
ry income
status
satisfactory
income
status
Sex of
respondent
male Count 28 42 70
Expected
Count
38.0 32.0 70.0
female Count 29 6 35
Expected
Count
19.0 16.0 35.0
Total Count 57 48 105
Expected
Count
57.0 48.0 105.0
21
Comment: Here since the calculated value of χ² is greater than the tabulated
value at 5% level of significance with 1 d.f. i.e., χ²cal > χ² tab we may reject
the null hypothesis and accept the alternative hypothesis. i.e., there is an
association between monthly income of the respondents and sex of the
respondents.
Table2:Cross tabulation for associationbetweenrespondentmonthly
income status and educationalqualification of the respondents.
Respondentmonthly income status*
Educational qualification
respondent income status Total
Unsatisfactor
y income
status
satisfactor
y income
status
Count
12 5 17
Expected
Count
9.2 7.8 17.0
Count 20 8 28
Expected
Count
15.2 12.8 28.0
Count
25 35 60
Expected
Count
32.6 27.4 60.0
Count 57 48 105
Expected
Count
57.0 48.0 105.0
22
HYPOTHESIS:
Ho: There is no association between respondent monthly income status and
educational qualification of the respondents.
H1: There is an association between respondent monthly income status and
educational qualification of the respondents
.
Here the calculated value of chi-square is-
χ²cal =8.986 with 2 d.f.
Tabulated value of chi-square at 5% level of significance with 2 d.f. is-
χ² tab = 5.99
Comment: Here since the calculated value of χ² is greater than the tabulated
value at 5% level of significance with 2 d.f. i.e., χ²cal > χ² tab we may reject
the null hypothesis and accept the alternative hypothesis. i.e., there is an
association between monthly income of the respondents and educational
qualification of the respondents.
Table3:Cross tabulation for associationbetweenrespondentmonthly
income status and Respondentage group.
Income status * Respondentage
Respondent age group
Total
Up to
25 25 -35
above
35
respondent
income
status
Unsatisfact
ory income
status
Count 37 15 5 57
Expected
Count
22.8 23.9 10.3 57.0
satisfactory
income
status
Count 5 29 14 48
Expected
Count
19.2 20.1 8.7 48.0
Total Count 42 44 19 105
Expected
Count
42.0 44.0 19.0 105.0
23
HYPOTHESIS:
Ho: There is no association between respondent monthly income status and
Respondent age group.
H1: There is an association between respondent monthly income status and
Respondent age group.
Here the calculated value of chi-square is-
χ²cal =32.566 with 2 d.f.
Tabulated value of chi-square at 5% level of significance with 2 d.f. is-
χ² tab = 5.99
Comment: Here since the calculated value of χ² is greater than the tabulated
value at 5% level of significance with 2 d.f. i.e., χ²cal > χ² tab we may reject
the null hypothesis andaccept the alternative hypothesis. i.e., there is an
association between monthly income of the respondents and Respondent age
group.
24
Table4:Cross tabulation for associationbetweenrespondent
accompanyand Respondentage group.
Respondent accompany* Respondentage group Cross tabulation
Respondentaccompany*
Respondentage
Respondent age group Total
Up to
25 25 -35
above
35
Respondent
accompany
Famiy Count
5 5 9 19
Expected
Count
7.6 8.0 3.4 19.0
Friend Count 23 23 5 51
Expected
Count
20.4 21.4 9.2 51.0
Others Count 14 16 5 35
Expected
Count
14.0 14.7 6.3 35.0
Total Count 42 44 19 105
Expected
Count
42.0 44.0 19.0 105.0
HYPOTHESIS:
Ho: There is no association between respondent monthly income status and
Respondent age group.
H1: There is an association between respondent monthly income status and
Respondent age group.
Here the calculated value of chi-square is-
χ²cal =14.562with 4d.f.
Tabulated value of chi-square at 5% level of significance with 2 d.f. is-
χ² tab = 9.49
25
Comment: Here since the calculated value of χ² is greater than the tabulated
value at 5% level of significance with 2 d.f. i.e., χ²cal > χ² tab we may reject
the null hypothesis and accept the alternative hypothesis. i.e., there is an
association between monthly income of the respondents and Respondent
accompany.
Table5:Cross tabulation for associationbetweensexof respondent and
opinion about Sea Beach.
Opinion about
Govt. step
TotalYes No
Sex of
respondent
male Count 13 57 70
Expected
Count
16.0 54.0 70.0
female Count 11 24 35
Expected
Count
8.0 27.0 35.0
Total Count 24 81 105
Expected
Count
24.0 81.0 105.0
HYPOTHESIS:
Ho: There is no association between sex of respondent and opinion about
beach
H1: There is an association between sex of respondent and opinion about
beach
Here the calculated value of chi-square is-
χ²cal =9.154with 1 d.f.
Tabulated value of chi-square at 5% level of significance with 1 d.f. is-
χ² tab = 3.84
26
Comment: Here since the calculated value of χ² is greater than the tabulated
value at 5% level of significance with 1 d.f. i.e., χ²cal > χ² tab we may reject
the null hypothesis and accept the alternative hypothesis. i.e., there is an
association between sex of respondent and opinion about beach
27
Chapter-4
Summary and Conclusion
The research work has given a brief picture regarding the socio economic
characteristics of the visitors of the Patenga Sea Beach, which are given
below:
1. From the table we see that 66.7% respondents are male and 33.3% are
female respondent.
2. From the table we see that 31.4% respondents are married, 66.7% are
unmarried and 1.9% is others
3. From the table we see that 13.3% respondent are Primary, 29.5% are
Secondaryand 57.1% are graduate & above.
4. From the table we see that 86.7% respondents are Muslims, 12.4% are
Hindus and 1.0% is others.
5. From the table we see that 28.6% respondents are Student, 49.5% are
Service holder and 10.5% are Business man and 11.4% are others.
6. From the table we see that 13.3% respondents have no income, 11.4%
have below 5000 taka income, 29.5% have 5000-10000 taka income,
17.1% have 10000-15000 taka income and 28.6% have above15000
taka income
7. From the table we see that 10.5% respondents have visited first time,
11.4% have visited second time, 78.1% have visited more than second
time.
8. From the table we see that 25.7% respondents have come to see
sunset, 9.5% have come to Traveling by boat, 52.4% have come to see
sea, and 12.4% have come to for other purposelike as romance or to
play cricket, football etc.
28
9. From the table we see that 94.3% respondents think Patenga Beach has
enough secured and 5.7% respondents think Patenga Beach has not
enough secured.
10.From the table we see that 93.3% respondents visit other place except
Patenga Beach and 6.7% respondents visit Patenga Beach only.
11. From the table we see that 14.3% visitor s has taken guideline to come
Patenga Beach and 85.7% visitors do not take any guideline to come
Patenga Beach.
12. From the table we see that 22.9 % visitors think govt. has taken
adequate step to develop Patenga Beach and 77.1% visitors do not
think govt. has taken adequate step to develop Patenga Beach.
13. From the table we see that 83.8% visitors has come road way to
Patenga Beach and 16.2% has come other way to Patenga Beach.
14.Here since the calculated value of χ² is greater than the tabulated value
at 5% level of significance with 1 d.f. i.e., χ²cal > χ² tab we may reject
the null hypothesis and accept the alternative hypothesis. i.e., there is
an association between monthly income of the respondents and sex of
the respondents.
15.Here since the calculated value of χ² isgreater than the tabulated value
at 5% level of significance with 2 d.f. i.e., χ²cal > χ² tab we may reject
the null hypothesis and accept the alternative hypothesis. i.e., there is
an association between monthly income of the respondents and
educational qualification of the respondents.
16.Here since the calculated value of χ² is greater than the tabulated value
at 5% level of significance with 2 d.f. i.e., χ²cal > χ² tab we may reject
the null hypothesis and accept the alternative hypothesis. i.e., there is
29
an association between monthly income of the respondents and
Respondent age group.
17.Here since the calculated value of χ² is greater than the tabulated value
at 5% level of significance with 1 d.f. i.e., χ²cal > χ² tab we may reject
the null hypothesis and accept the alternative hypothesis. i.e., there is
an association between sex of respondent and opinion about Sea
Beach.
18.Here since the calculated value of χ² is greater than the tabulated value
at 5% level of significance with 2 d.f. i.e., χ²cal > χ² tab we may reject
the null hypothesis and accept the alternative hypothesis. i.e., there is
an association between monthly income of the respondents and
Respondent accompany
This study was mainly based on a particular area of the Chittagong City at
Patenga Sea Beach. The visitors had not only come from different region of
Bangladesh but also abroad. The study of the different characteristics of the
visitors may be representative one and indicate the total picture of the
visitors of Bangladesh.
It is remarkable that maximum numbers of visitors are educated, only little
number of visitors is others. Again it is mention that majority of visitors are
service holder and come from Chittagong city.
Since KEPZ and CEPZ are near to the Patenga Sea Beach, it is also
remarkable that (29.5%) respondents have monthly income 5000-10000
taka.
30
Most of the visitors had come in Patenga Sea Beach to see Sea and Sunset;
they are lover of nature and beauty.
Since (77.1%) visitors think that Govt. has not taken adequate staps, so they
want hotel facilities, like 3, 4 or 5star hotels etc.
Govt. could earn more money from this tourist sector, if they give
concentration about Patenga Sea Beach.
To increase the rate of visitors, the government in the authority should be
attentive; otherwise it will not be able to develop national economical
condition.
We had tried our best to overcome such a problem within short time. It
might have some defects but still we are fully confident of its greatest
success as perfect work of its own figure. If it is consider with a sympathetic
point of view.
31
Questionnaire
Topics: A study on the visitors of Patenga Sea Beaches of Chittagong
and analysis their economic and demographic status.
Special request : The questionnaire related to my research project to be submitted for the degree
of Master of Science (M.S.) in Statistics under the University of Chittagong , Chittagong
Bangladesh. I solicit your full co-operation for getting filled up. All data shall be analyzed in
aggregate and hence would not represent any individual opinion or identity. I also assure that the
collected information will be kept confidential and furthers use only for my academic purposes.
1) Name of the respondent:…………………………
2) Age of the respondent:…………………………… (in years)
3) Sex : [put tick marks]
□ Male □ Female
4) Marital status :
□ Married □ Unmarried □ Others
5) Religion :
□ Islam □ Hindus □ Others
6) Educational qualification :
□ Illiterate □ Primary □ Secondary □ Graduate & above
7) Occupation of the respondent:
□ Student □ Service holder □ Business man □others
8) Monthly income :
□below 5000 □ 5000-10000 □ 10000-15000 □ above 15000
9) Annual income :
□below 60000 □ 60000-120000 □ 120000-180000 □ above 180000
10) How many times does he/she visit this palace?
□ First □ Second □ More than second
11) From where has he/she come?
□Chittagong city □Chitttagong district □ Out of chittagong district. □ Abroad
12) By which way have you come in the Sea Beach?
□ By road □ By air □ Others
32
13) To come Patenga Sea Beach which vehicle have you used?
□ Own car □ Rent car □ others
14) How many times do you take to come to see Sea Beach from your residence?
□below an hour □ 1-4hour □above 4hour
15) How many hours do you spent at Sea Beach?
□below 3 hours □ 3hours □ 5hours □above 5 hours
16) What kind of shopping they do?
□ Zinuk □ Dress □ Others
17) For which attractive things you come in Patenga Sea Beach?
□To see sunset □Traveling by boat □To see sea □Others
18) Are you satisfied with the Price of things?
□ Yes □No
19) What types of accompany?
□ Single □ Family □ Friend □ Couple
20) How much money do you spent in this purpose?
□ <1000tk □ 1000-3000tk □ Avobe3000tk
21) What types of problem have you faced ?
□ Mugging □ Stolen □ Others
22) Have you taken any Hotel facilities?
□Yes □ No
23) Do you think is it secured place?
□ Yes □ No
24) Have you take any guidance to come patenga?
□ Yes □ No
25) Have you visited other place except patenga?
□ Yes □ No
26) Have any suggestions about Tourism sector for Patenga Sea Beach?
□ Yes □ No
27) Do you think government has taken adequate steps to develop Patenga Sea Beach?
□ Yes □ No
28) What is your suggestion for Patenga Sea Beach?
Thank you for your co-operation.
33
Reference:
1. An introduction to the theory of statistics by – Dr. Rabindranath shil.
2. Applied Statistics by – S.C. Gupta& V.K. Kapoor.
3. Method of Statistics By- M.G. Mustafa
4. Some statistics and historical journals.
External links: http://en. Wikipedia.org
http://www.google.com

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Statistical Report on Visitors to Patenga Sea Beach

  • 1. 1 A STATISTICAL REPORT ON VISITORS OF PATENGA SEA BEACH IN CHITTAGONG DISTRICT Submitted to the DEPARTMENT OF STATISTICS UNIVERSITY OF CHITTAGONG CHITTAGONG, BANGLADESH.
  • 2. 2 A DISSERATION SUBMITTED TO THE UNIVESITY OF CHITTAGONG IN PARTIAL FULFILLMENT OF THE REQUIREMENT FOR THE DEGREE OF MASTERS OF SCIENCE (M S) IN STATISTICS SUBMITTED BY EXAM ROLLS NO: 2009/32 Registration No: 12737 Season: 2008-2009 Year of Exam: 2009 CHITTAGONG DEPARTMENT OF STATISTICS OCTOBER, 2011 UNIVERSITY OF CHITTAGONG CHITTAGONG, BANGLADESH
  • 3. 3 Abstract This study is an attempt to examine the characteristics of the Visitors in Patenga Sea Beach, Chittagong. A total of 105 randomly selected respondents (70 males and 35 females) were surveyed. An opinion poll has been conducted in the recreational Patenga Sea Beach. On the light of the objectives of the study- bi-variate analysis has been carried out by employing Chi-square test of independence to examine whether each of the selected factors has significant association with type of income, age, and sex and security condition. Here it indicates that age of the visitors, educational qualification of the visitors, and monthly income of visitors, from where they have came, and numbers of city people have highly significant effect on the types of visitors. Other significant factors found to be are income, sex, age, opinion about government steps, accompany of visitors.
  • 4. 4 Acknowledgement I would express my immense indebtedness, sincere thanks and deep appreciation and regard to my reverend teacher and research supervisor for his untiring guidance, valuable suggestions, corrective advice and assistance for successful completion of this research work in a befitting manner. I also express my gratitude to my beloved all other teachers of the department of statistics, University of Chittagong. I particularly offer my heartfelt gratitude to the numerous responds who have given their valuable time and co-operation by providing the required information. I hope that this project shall achieve a great recognition if it is considered from a generous and affectionate angle of vision. At last I am alone responsible for the errors and shortcoming in this work. Chittagong University, Chittagong. Examination Roll: 2009/32 October, 2011. Registration No: 12737 Session: 2008-2009
  • 5. 5 CONTENTS Page number Chapter-1: INTRODUCTION 06-11 1.1. Introduction 1.2. Objective of the Study 1.3. Importance of the Study 1.4. Organization of the Study 1.5. Selection and Collection of Data 1.6. Preparing the Questionnaire 1.7. Data Processing and Analysis 1.8. Limitations Chapter-2: UNIVARIATE ANALYSIS 12-19 Chapter-3: BIVARIATE ANALYSIS 20-26 Chapter-4: SUMMARY AND CONCLUSION 27-30 APPENDIX: 31-33 Questionnaire Reference
  • 6. 6 Chapter-1 INTRODUCTION 1.1. INTRODUCTION: The city of Chittagong is a major tourist attraction in Bangladesh. Its green hills and forests, its broad sandy beaches and its fine cool climate always attract the holiday-markers. Described by the Chinese traveler poet, Huen Tsang (7th century AD) as "a sleeping beauty emerging from mists and water" and given the title of "Porto Grande" by the 16th century Portuguese seafarers. Chittagong is filled with dense green forests, endless rolling hills, a moderate climate and breathtaking beaches. Since the 7th century, Chittagong has been mentioned in many documents as a seaport of mystical beauty and magnificent charm. The bustling harbor stands in stark contrast to the tranquility and peaceful surroundings of the city. Chittagong has been a seaport since ancient times. Arab traded with the port from the 9th Century AD. The Chittagong region was under the Visalia kingdom of Arakan during the Sixth to Eighth Centuries and under the Mrauk U kingdom of Arakan in the 16th and 17th Centuries. Chittagong had been under the control of the Arakanese or kings of Arakan for hundreds of years. An account by historian Lama Taranath has revealed a Buddhist king Gopichandra had his capital at Chittagong in the Tenth Century, and according to Tibetan tradition, Chittagong was the birthplace of the Buddhist Tantric Tilayogi, who lived and worked in the Tenth Century. In the Fourteenth Century, explorer Ibn Batuta passed through Chittagong during his travels. Sultan Fakruddin Mubarak Shah of Sonargoan conquered Chittagong in 1340. Sultan Giasuddin Mubarak Shah constructed a highway from Chittagong to Chandpur and ordered the construction of many lavish mosques and tombs. After the defeat of Mahmud Shah in the hands of Sher Shah in 1538, the Arakanese regained Chittagong. From this time onward, until its conquest by the Mughals, this region was under the control of the Portuguese and the Magh pirates (a notorious name for Arakanese) for 128 years.
  • 7. 7 The Mughal Commandar Shayesta Khan and his son Buzurg Umed Khan expelled the Arakanese from the area in 1666 and established Mughal rule there. They renamed Chittagong as Islamabad. The city was occupied by Burmese troops shortly in First Anglo-Burmese War in 1824 and the British increasingly grew active in the region and it fell under the British Empire. Many visitors to Bangladesh find Chittagong to be the perfect tourist destination. It is filled with dense green forests, endless rolling hills, a moderate climate and breathtaking beaches. Since the seventh century, Chittagong has been mentioned in many documents as a seaport of mystical beauty and magnificent charm. The bustling harbor stands in stark contrast to the tranquility and peaceful surroundings of the city. And attractions, such as Patenga Beach, ensure a constant influx of travelers and visitors. The Beach itself is quite sandy, with a few rocky patches here and there. Most visitors come to Patenga Beach as it is known for having some of the most stunning sunsets and sunrises in Bangladesh. The more adventurous travelers will also be able to enjoy a river cruise on the Karnaphuli River, or a boat trip onto the ocean waves. Nature enthusiasts will find Patenga Beach to be a haven for most of the wading bird species of Bangladesh and if lucky, bird watchers will also be able to see spoon-billed sandpipers running around. If the crowds at Patenga Beach become too much, visitors should move on to Parky Beach, which is just a quieter extension of Patenga. Here, the beach is lined with massive shady palm trees and fishing boats. Fishermen sit around peacefully, going about their daily chores while sea gulls patiently circle overhead waiting for the odd scrap of fish to be thrown their way. It is the perfect location for a quiet picnic or day of relaxation. Visitors will find Patenga Beach to be diverse, fascinating and, above all beautiful. It is a tourist destination that lures visitors with the attractions of good weather, natural splendor and the quiet lapping of the ocean waves at their feet. Every moment at Patenga Beach is a photographic opportunity and an unforgettable memory in the making.
  • 8. 8 Description of the Study Area (Patenga Sea Beach): Relax on the Sands of Patenga Beach It lies in the extreme southeast of the country between 20_35' and 22_59' north latitude and 91_27' and 92_22' east longitude. The city now covers an area of 168 sq. km., but the statistical metropolitan area (SMA) is 986.34 sq. km. and has a population of near to three million (BBS 2000). Chittagong is geographically well placed for the visitors of the country. Country Bangladesh Division: Chittagong Division. District: Chittagong District. Establishment: 1340. Granted city status:1863 Government: - City Mayor Md. Monzur Alam. Area: - Metropolis 168 km2 (64.9 sq mi) Population: (2010) - Metropolis2,979,107 Density: 15,351/km2 (39,758.9/sq mi) - Metro 3,858,093 Time zone BST: (UTC+6) Postal code: 4000 Table 1 Patenga Sea Beachs in Geographical location
  • 9. 9 GDP (2010): $25.5 billion Calling code: 31 Patenga (Bangla: পতেঙ্গা) is a sea beach located 14 kilometers south of the port city of Chittagong, Bangladesh. It is near the mouth of the Karnaphuli River. Sunset at Patenga Beach is Cloudy weather. Patenga is a popular tourist spot. The beach is very close to Bangladesh Naval Academy of Bangladesh Navy, and Shah Amanat International Airport. The beach width is narrow and swimming in the seas is not recommended. Part of the seashore is built-up with concrete walls. Also large blocks of stones have been laid out to prevent erosion. During 1990s a host of restaurants and kiosks have sprouted out around the beach area. After the sun-down, drug- peddlers start to approach visitors. Also, alcohol peddling is very common. Lighting of the beach area has enhanced the security aspect of visiting in the evening. 1.2. Importance of the Study: Through the study, we have expected to give a brief picture regarding the socio-economic characteristics of the visitors of the Patenga sea Beach. The study, I believe, will give some important information to the planners with valuable inside required for policy making and their meaningful implementation. For the development of the tourism of our country as a whole, such study is essential and is of great importance. Also it is expected that such type of study would be of greater interest for the visitors coming in the Patenga Sea Beach. 1.3. Objective of the Study Generally, social status, income, expenditure, etc are the main determinants in our social life, for every professional people. We are going to study the different types of the visitors in different income in Chittagong district at Patenga Sea Beach. The main objectives are to study:
  • 10. 10  The characteristics of the visitors are of Patenga Sea Beach in Chittagong district.  The association of several background characteristics of the visitors with their types of income.  Various factors affecting to the visitors at the sea beach.  To know the attitude of visitors about the natural beauty of Patenga Sea Beach. 1.4. Organization of the Study: The work has been organized under the guidance of my reverent teacher from the department of statistics, University of Chittagong. At first I prepared a questionnaire according to the advice of my respected teacher. After preparing a questionnaire I have collected data from 105respondents. By consulting my project supervisor I perform my analysis. 1.5. Selection and Collection of Data: There are many techniques to select data. Here, in this study, we used the technique simple random sampling. The data should be collected keeping in view the objectives of the survey. All kinds of mistakes have been corrected where it was found in questionnaire and answers have been observed carefully. As a result there is no irrelevant information. The tendency was should not be collected too many data but the important one and some of which are never subsequent examined and analyzed. The process of data collection depends upon the kind of study. The data was collected using interviewed method. Attention was given to record actual and true statement by the respondent. The questionnaire was filled up with verbal not discuss anything with other. I’ve tried my best to collect all information, which are related to my study. 1.6 Preparation and Questionnaires: The questionnaire was designed in such a way that maximum information may be obtained within short time. The questionnaire was prepared in simple short language. Most of the ambiguous were avoided. The language of the questionnaire was easy English, so that the respondents understood properly.
  • 11. 11 1.7. Data Processing and Analysis: The study conducted interviews on people visiting various prominent visitors of Chittagong sea beach with semi-structured questionnaires designed for this purpose. A total of 105 respondents (70males and 35 females) were surveyed representing different demographic and socio- economic conditions. The selection of respondents was done randomly. The `hit and miss' method was applied in the survey. In this method, the visitors were interviewed on basis of their first appearance. Those who were not interested or reluctant to respond were not bothered. The interviewing of the people were completed employing 4 weekends (Fridays) and 3 working days in the months of November 2011. Data were analyzed on the basis of socio- economic and demographic factors of the respondents. 1.8. Limitations: Every project work has some inherent limitation, which should be pointed out by the concerned authority. Since survey work is done on part of population for saving cost and time, hence the result is generally expected to affect by in addition to some hidden errors. In the period of interviewing some of the respondents may not provide actual information either consciously or unconsciously. For instance, the youngest persons are tried to tell his/her age less some quantity and the oldest persons are tried to tell his/her age plus some quantity. Most of the respondents are tried to hide their actual income including many other prestige concern questions. Since alcohol peddling is very common in Patenga Sea Beach, so their attitude is different from the right person. In these circumstances, I tried of my best to collect actual information formation from the respondents after describing them the background of the study. In case of question about visiting I faced problem to get correct answers from the visitors because of shyness and other causes. Finally, it is needless to say that users need careful and awareness while using the finding of the study.
  • 12. 12 Chapter-2: UNIVARIATE ANALYSIS Table1: Percentage distribution of respondent according to their sex. Sex of the Respondent Comment: From the above graph we see that 66.7% respondents are male and 33.3% are female respondent. Frequency 70 35 0 10 20 30 40 50 60 70 80 Male Female Frequency Sex Frequency Percentage Cumulative percentage Male Female Total 70 66.7 66.7 35 33.3 100.0 105 100.0
  • 13. 13 Table2: Percentage distribution of respondent according to their marital status Comment: From the above table we see that 31.4% respondents are married, 66.7% are unmarried and 1.9% is others. Marital status of the Visitors Married 31% Unmarried 67% Others 2% Married Unmarried Others Marital status Frequency Percent Cumulative Percentage Married 33 31.4 31.4 Unmarried 70 66.7 98.1 Others 2 1.9 100.0 Total 105 100.0
  • 14. 14 Table3: Percentage distribution of respondent according to their Religion of respondent Comment: From the above table we see that 86.7% respondents are Muslims, 12.4% are Hindus and 1.0% is others. 86.7 91 12.4 13 1 1 0 20 40 60 80 100 Islam Hindus others Religion of the Respondent Percentage Frequency Religion Frequency Percentage Cumulative Percentage Islam 91 86.7 86.7 Hindu 13 12.4 99.0 others 1 1.0 100.0 Total 105 100.0
  • 15. 15 Table4: Percentage distribution of respondent according to their Education of respondent. Education Frequency Percentage Cumulative Percentage Primary 14 13.3 13.3 Secondary 31 29.5 42.9 graduate & above 60 57.1 100.0 Total 105 100.0 Comment: From the above table we see that 13.3% respondentare Primary, 29.5% are Secondary and 57.1% are graduate & above. Table5: Percentage distribution of respondent according to their Occupation of respondent. Occupation Frequency Percentage Cumulative Percentage Student 30 28.6 28.6 Service holder 52 49.5 78.1 Business man 11 10.5 88.6 others 12 11.4 100.0 Total 105 100.0 Comment: From the above table we see that 28.6% respondents are Student, 49.5% are Service holder and 10.5% are Business man and 11.4% are others.
  • 16. 16 Table6: Percentage distribution of respondent according to their income. Income Frequency Percentage Cumulative Percentage No income 14 13.3 13.3 Below 5000 taka 12 11.4 24.8 5000-10000 taka 31 29.5 54.3 10000-15000 taka 18 17.1 71.4 Above 15000taka 30 28.6 100.0 Total 105 100.0 Comment: From the above table we see that 13.3% respondents have no income, 11.4% have below 5000 taka income, 29.5% have 5000-10000 taka income, 17.1% have 10000-15000 taka income and 28.6% have above15000 taka income. Table7: Respondent no. of visited time. Frequency Percentage Cumulative Percentage First time 11 10.5 10.5 Second time 12 11.4 21.9 More than second 82 78.1 100.0 Total 105 100.0 Comment: From the above table we see that 10.5% respondents have visited first time, 11.4% have visited second time, 78.1% have visited more than second time.
  • 17. 17 Table8: Percentage distribution of respondent for preference of scenery. Frequency Percentage Cumulative Percentage To see sunset 27 25.7 25.7 Traveling by boat 10 9.5 35.2 To see sea 55 52.4 87.6 Others 13 12.4 100.0 Total 105 100.0 Comment: From the above table we see that 25.7% respondents have come to see sunset, 9.5% have come to Traveling by boat, 52.4% have come to see sea, and 12.4% have come to for other purposelike as romance or to play cricket, football etc. Table9: Percentage distribution of Security condition: Security condition Frequency Percent Cumulative Percent Yes 99 94.3 94.3 No 6 5.7 100.0 Total 105 100.0 Comment: From the above table we see that 94.3% respondents think Patenga Beach has enough secured and 5.7% respondents think Patenga Beach has not enough secured.
  • 18. 18 Table10: Percentage distribution of visit other place except patenga. Visit other place Frequency Percent Cumulative Percent yes 98 93.3 93.3 no 7 6.7 100.0 Total 105 100.0 Comment: From the above table we see that 93.3% respondents visit other place except Patenga Beach and 6.7% respondents visit Patenga Beach only. Table11: Percentage distribution of guidance to come patenga. Guidance Frequency Percent Cumulative Percent Yes 15 14.3 14.3 No 90 85.7 100.0 Total 105 100.0 Comment: From the above table we see that 14.3% visitor s has taken guideline to come Patenga Beach and 85.7% visitors do not take any guideline to come Patenga Beach.
  • 19. 19 Table12: Suggestion about Patenga Beach. Opinion on Patenga Beach Frequency Percentage Cumulative Percentage Yes 24 22.9 22.9 No 81 77.1 100.0 Total 105 100.0 Comment: From the above table we see that 22.9 % visitors think govt. has taken adequate step to develop Patenga Beach and 77.1% visitors do not think govt. has taken adequate step to develop Patenga Beach. Table13: Percentage distribution of way to come Patenga Beach. Comment: From the above table we see that 83.8% visitors has come road way to Patenga Beach and 16.2% has come other way to Patenga Beach. 22.9 77.1 24 81 0 20 40 60 80 100 Percentage Frequency Opinion about Patenga Sea Beach YES NO Frequency Percent Cumulative Percent Road way 88 83.8 83.8 Other way 17 16.2 100.0 Total 105 100.0
  • 20. 20 CHAPTER-3 BIVARIATE ANALYSIS Table1:Cross tabulation for associationbetweenrespondentmonthly income status and sexof the respondents: HYPOTHESIS: Ho: There is no association between respondent monthly income status and sex of the respondents. H1: There is an association between respondent monthly income status and sex of the respondents. Here the calculated value of chi-square is- χ²cal =17.270 with 1 d.f. Tabulated value of chi-square at 5% level of significance with 1 d.f. is- χ² tab = 3.841 Sexof respondent* respondent income status respondent income status Total Unsatisfacto ry income status satisfactory income status Sex of respondent male Count 28 42 70 Expected Count 38.0 32.0 70.0 female Count 29 6 35 Expected Count 19.0 16.0 35.0 Total Count 57 48 105 Expected Count 57.0 48.0 105.0
  • 21. 21 Comment: Here since the calculated value of χ² is greater than the tabulated value at 5% level of significance with 1 d.f. i.e., χ²cal > χ² tab we may reject the null hypothesis and accept the alternative hypothesis. i.e., there is an association between monthly income of the respondents and sex of the respondents. Table2:Cross tabulation for associationbetweenrespondentmonthly income status and educationalqualification of the respondents. Respondentmonthly income status* Educational qualification respondent income status Total Unsatisfactor y income status satisfactor y income status Count 12 5 17 Expected Count 9.2 7.8 17.0 Count 20 8 28 Expected Count 15.2 12.8 28.0 Count 25 35 60 Expected Count 32.6 27.4 60.0 Count 57 48 105 Expected Count 57.0 48.0 105.0
  • 22. 22 HYPOTHESIS: Ho: There is no association between respondent monthly income status and educational qualification of the respondents. H1: There is an association between respondent monthly income status and educational qualification of the respondents . Here the calculated value of chi-square is- χ²cal =8.986 with 2 d.f. Tabulated value of chi-square at 5% level of significance with 2 d.f. is- χ² tab = 5.99 Comment: Here since the calculated value of χ² is greater than the tabulated value at 5% level of significance with 2 d.f. i.e., χ²cal > χ² tab we may reject the null hypothesis and accept the alternative hypothesis. i.e., there is an association between monthly income of the respondents and educational qualification of the respondents. Table3:Cross tabulation for associationbetweenrespondentmonthly income status and Respondentage group. Income status * Respondentage Respondent age group Total Up to 25 25 -35 above 35 respondent income status Unsatisfact ory income status Count 37 15 5 57 Expected Count 22.8 23.9 10.3 57.0 satisfactory income status Count 5 29 14 48 Expected Count 19.2 20.1 8.7 48.0 Total Count 42 44 19 105 Expected Count 42.0 44.0 19.0 105.0
  • 23. 23 HYPOTHESIS: Ho: There is no association between respondent monthly income status and Respondent age group. H1: There is an association between respondent monthly income status and Respondent age group. Here the calculated value of chi-square is- χ²cal =32.566 with 2 d.f. Tabulated value of chi-square at 5% level of significance with 2 d.f. is- χ² tab = 5.99 Comment: Here since the calculated value of χ² is greater than the tabulated value at 5% level of significance with 2 d.f. i.e., χ²cal > χ² tab we may reject the null hypothesis andaccept the alternative hypothesis. i.e., there is an association between monthly income of the respondents and Respondent age group.
  • 24. 24 Table4:Cross tabulation for associationbetweenrespondent accompanyand Respondentage group. Respondent accompany* Respondentage group Cross tabulation Respondentaccompany* Respondentage Respondent age group Total Up to 25 25 -35 above 35 Respondent accompany Famiy Count 5 5 9 19 Expected Count 7.6 8.0 3.4 19.0 Friend Count 23 23 5 51 Expected Count 20.4 21.4 9.2 51.0 Others Count 14 16 5 35 Expected Count 14.0 14.7 6.3 35.0 Total Count 42 44 19 105 Expected Count 42.0 44.0 19.0 105.0 HYPOTHESIS: Ho: There is no association between respondent monthly income status and Respondent age group. H1: There is an association between respondent monthly income status and Respondent age group. Here the calculated value of chi-square is- χ²cal =14.562with 4d.f. Tabulated value of chi-square at 5% level of significance with 2 d.f. is- χ² tab = 9.49
  • 25. 25 Comment: Here since the calculated value of χ² is greater than the tabulated value at 5% level of significance with 2 d.f. i.e., χ²cal > χ² tab we may reject the null hypothesis and accept the alternative hypothesis. i.e., there is an association between monthly income of the respondents and Respondent accompany. Table5:Cross tabulation for associationbetweensexof respondent and opinion about Sea Beach. Opinion about Govt. step TotalYes No Sex of respondent male Count 13 57 70 Expected Count 16.0 54.0 70.0 female Count 11 24 35 Expected Count 8.0 27.0 35.0 Total Count 24 81 105 Expected Count 24.0 81.0 105.0 HYPOTHESIS: Ho: There is no association between sex of respondent and opinion about beach H1: There is an association between sex of respondent and opinion about beach Here the calculated value of chi-square is- χ²cal =9.154with 1 d.f. Tabulated value of chi-square at 5% level of significance with 1 d.f. is- χ² tab = 3.84
  • 26. 26 Comment: Here since the calculated value of χ² is greater than the tabulated value at 5% level of significance with 1 d.f. i.e., χ²cal > χ² tab we may reject the null hypothesis and accept the alternative hypothesis. i.e., there is an association between sex of respondent and opinion about beach
  • 27. 27 Chapter-4 Summary and Conclusion The research work has given a brief picture regarding the socio economic characteristics of the visitors of the Patenga Sea Beach, which are given below: 1. From the table we see that 66.7% respondents are male and 33.3% are female respondent. 2. From the table we see that 31.4% respondents are married, 66.7% are unmarried and 1.9% is others 3. From the table we see that 13.3% respondent are Primary, 29.5% are Secondaryand 57.1% are graduate & above. 4. From the table we see that 86.7% respondents are Muslims, 12.4% are Hindus and 1.0% is others. 5. From the table we see that 28.6% respondents are Student, 49.5% are Service holder and 10.5% are Business man and 11.4% are others. 6. From the table we see that 13.3% respondents have no income, 11.4% have below 5000 taka income, 29.5% have 5000-10000 taka income, 17.1% have 10000-15000 taka income and 28.6% have above15000 taka income 7. From the table we see that 10.5% respondents have visited first time, 11.4% have visited second time, 78.1% have visited more than second time. 8. From the table we see that 25.7% respondents have come to see sunset, 9.5% have come to Traveling by boat, 52.4% have come to see sea, and 12.4% have come to for other purposelike as romance or to play cricket, football etc.
  • 28. 28 9. From the table we see that 94.3% respondents think Patenga Beach has enough secured and 5.7% respondents think Patenga Beach has not enough secured. 10.From the table we see that 93.3% respondents visit other place except Patenga Beach and 6.7% respondents visit Patenga Beach only. 11. From the table we see that 14.3% visitor s has taken guideline to come Patenga Beach and 85.7% visitors do not take any guideline to come Patenga Beach. 12. From the table we see that 22.9 % visitors think govt. has taken adequate step to develop Patenga Beach and 77.1% visitors do not think govt. has taken adequate step to develop Patenga Beach. 13. From the table we see that 83.8% visitors has come road way to Patenga Beach and 16.2% has come other way to Patenga Beach. 14.Here since the calculated value of χ² is greater than the tabulated value at 5% level of significance with 1 d.f. i.e., χ²cal > χ² tab we may reject the null hypothesis and accept the alternative hypothesis. i.e., there is an association between monthly income of the respondents and sex of the respondents. 15.Here since the calculated value of χ² isgreater than the tabulated value at 5% level of significance with 2 d.f. i.e., χ²cal > χ² tab we may reject the null hypothesis and accept the alternative hypothesis. i.e., there is an association between monthly income of the respondents and educational qualification of the respondents. 16.Here since the calculated value of χ² is greater than the tabulated value at 5% level of significance with 2 d.f. i.e., χ²cal > χ² tab we may reject the null hypothesis and accept the alternative hypothesis. i.e., there is
  • 29. 29 an association between monthly income of the respondents and Respondent age group. 17.Here since the calculated value of χ² is greater than the tabulated value at 5% level of significance with 1 d.f. i.e., χ²cal > χ² tab we may reject the null hypothesis and accept the alternative hypothesis. i.e., there is an association between sex of respondent and opinion about Sea Beach. 18.Here since the calculated value of χ² is greater than the tabulated value at 5% level of significance with 2 d.f. i.e., χ²cal > χ² tab we may reject the null hypothesis and accept the alternative hypothesis. i.e., there is an association between monthly income of the respondents and Respondent accompany This study was mainly based on a particular area of the Chittagong City at Patenga Sea Beach. The visitors had not only come from different region of Bangladesh but also abroad. The study of the different characteristics of the visitors may be representative one and indicate the total picture of the visitors of Bangladesh. It is remarkable that maximum numbers of visitors are educated, only little number of visitors is others. Again it is mention that majority of visitors are service holder and come from Chittagong city. Since KEPZ and CEPZ are near to the Patenga Sea Beach, it is also remarkable that (29.5%) respondents have monthly income 5000-10000 taka.
  • 30. 30 Most of the visitors had come in Patenga Sea Beach to see Sea and Sunset; they are lover of nature and beauty. Since (77.1%) visitors think that Govt. has not taken adequate staps, so they want hotel facilities, like 3, 4 or 5star hotels etc. Govt. could earn more money from this tourist sector, if they give concentration about Patenga Sea Beach. To increase the rate of visitors, the government in the authority should be attentive; otherwise it will not be able to develop national economical condition. We had tried our best to overcome such a problem within short time. It might have some defects but still we are fully confident of its greatest success as perfect work of its own figure. If it is consider with a sympathetic point of view.
  • 31. 31 Questionnaire Topics: A study on the visitors of Patenga Sea Beaches of Chittagong and analysis their economic and demographic status. Special request : The questionnaire related to my research project to be submitted for the degree of Master of Science (M.S.) in Statistics under the University of Chittagong , Chittagong Bangladesh. I solicit your full co-operation for getting filled up. All data shall be analyzed in aggregate and hence would not represent any individual opinion or identity. I also assure that the collected information will be kept confidential and furthers use only for my academic purposes. 1) Name of the respondent:………………………… 2) Age of the respondent:…………………………… (in years) 3) Sex : [put tick marks] □ Male □ Female 4) Marital status : □ Married □ Unmarried □ Others 5) Religion : □ Islam □ Hindus □ Others 6) Educational qualification : □ Illiterate □ Primary □ Secondary □ Graduate & above 7) Occupation of the respondent: □ Student □ Service holder □ Business man □others 8) Monthly income : □below 5000 □ 5000-10000 □ 10000-15000 □ above 15000 9) Annual income : □below 60000 □ 60000-120000 □ 120000-180000 □ above 180000 10) How many times does he/she visit this palace? □ First □ Second □ More than second 11) From where has he/she come? □Chittagong city □Chitttagong district □ Out of chittagong district. □ Abroad 12) By which way have you come in the Sea Beach? □ By road □ By air □ Others
  • 32. 32 13) To come Patenga Sea Beach which vehicle have you used? □ Own car □ Rent car □ others 14) How many times do you take to come to see Sea Beach from your residence? □below an hour □ 1-4hour □above 4hour 15) How many hours do you spent at Sea Beach? □below 3 hours □ 3hours □ 5hours □above 5 hours 16) What kind of shopping they do? □ Zinuk □ Dress □ Others 17) For which attractive things you come in Patenga Sea Beach? □To see sunset □Traveling by boat □To see sea □Others 18) Are you satisfied with the Price of things? □ Yes □No 19) What types of accompany? □ Single □ Family □ Friend □ Couple 20) How much money do you spent in this purpose? □ <1000tk □ 1000-3000tk □ Avobe3000tk 21) What types of problem have you faced ? □ Mugging □ Stolen □ Others 22) Have you taken any Hotel facilities? □Yes □ No 23) Do you think is it secured place? □ Yes □ No 24) Have you take any guidance to come patenga? □ Yes □ No 25) Have you visited other place except patenga? □ Yes □ No 26) Have any suggestions about Tourism sector for Patenga Sea Beach? □ Yes □ No 27) Do you think government has taken adequate steps to develop Patenga Sea Beach? □ Yes □ No 28) What is your suggestion for Patenga Sea Beach? Thank you for your co-operation.
  • 33. 33 Reference: 1. An introduction to the theory of statistics by – Dr. Rabindranath shil. 2. Applied Statistics by – S.C. Gupta& V.K. Kapoor. 3. Method of Statistics By- M.G. Mustafa 4. Some statistics and historical journals. External links: http://en. Wikipedia.org http://www.google.com