1. 0 | 00000000000000000000000000000000000000000000000000000000000000000000
0 |
1 | 000000000000000000
1 |
2 | 000
2 |
3 | 0
0.00.51.01.52.02.53.0

2. Histogram of Number.of.Crimes
Number.of.Crimes
Frequency
0.0 0.5 1.0 1.5 2.0 2.5 3.0
010203040506070
0 1 2 3 4 5 6 7 8 9
Strongarm Robbery
Aggravated Assault/Battery-Other Weapon
Burglary
Simple Assault/Battery
Theft of Automobile
Number of Crimes by Type

3. myfile=read.table(file="Project.csv", sep=",", header=TRUE)
> myfile
Day Number.of.Crimes
1 7/19/2015 0
2 7/20/2015 0
3 7/21/2015 1
4 7/22/2015 0
5 7/23/2015 0
6 7/24/2015 0
0
0.5
1
1.5
2
2.5
3
3.5
4
4.5 12am
1am
2am
3am
4am
5am
6am
7am
8am
9am
10am
11am
12pm
1pm
2pm
3pm
4pm
5pm
6pm
7pm
8pm
9pm
10pm
11pm
Number of Crimes by Time of Day
0
0.5
1
1.5
2
2.5
Number of Crimes Per Location

4. 7 7/25/2015 1
8 7/26/2015 0
9 7/27/2015 0
10 7/28/2015 1
11 7/29/2015 1
12 7/30/2015 0
13 7/31/2015 1
14 8/1/2015 0
15 8/2/2015 0
16 8/3/2015 1
17 8/4/2015 0
18 8/5/2015 1
19 8/6/2015 0
20 8/7/2015 0
21 8/8/2015 0
22 8/9/2015 0
23 8/10/2015 0
24 8/11/2015 0
25 8/12/2015 0
26 8/13/2015 0
27 8/14/2015 1
28 8/15/2015 0
29 8/16/2015 0
30 8/17/2015 0
31 8/18/2015 1
32 8/19/2015 0
33 8/20/2015 0
34 8/21/2015 0
35 8/22/2015 2

5. 36 8/23/2015 1
37 8/24/2015 0
38 8/25/2015 0
39 8/26/2015 0
40 8/27/2015 0
41 8/28/2015 0
42 8/29/2015 0
43 8/30/2015 0
44 8/31/2015 0
45 9/1/2015 1
46 9/2/2015 0
47 9/3/2015 0
48 9/4/2015 0
49 9/5/2015 0
50 9/6/2015 0
51 9/7/2015 2
52 9/8/2015 0
53 9/9/2015 0
54 9/10/2015 0
55 9/11/2015 0
56 9/12/2015 0
57 9/13/2015 0
58 9/14/2015 0
59 9/15/2015 0
60 9/16/2015 1
61 9/17/2015 0
62 9/18/2015 0
63 9/19/2015 1
64 9/20/2015 0

6. 65 9/21/2015 0
66 9/22/2015 0
67 9/23/2015 0
68 9/24/2015 0
69 9/25/2015 0
70 9/26/2015 1
71 9/27/2015 0
72 9/28/2015 0
73 9/29/2015 0
74 9/30/2015 0
75 10/1/2015 1
76 10/2/2015 3
77 10/3/2015 0
78 10/4/2015 0
79 10/5/2015 1
80 10/6/2015 1
81 10/7/2015 1
82 10/8/2015 0
83 10/9/2015 0
84 10/10/2015 2
85 10/11/2015 0
86 10/12/2015 0
87 10/13/2015 0
88 10/14/2015 0
89 10/15/2015 0
90 10/16/2015 0
> summary(myfile)
Day Number.of.Crimes
10/1/2015 : 1 Min. :0.0

7. 10/10/2015: 1 1st Qu.:0.0
10/11/2015: 1 Median :0.0
10/12/2015: 1 Mean :0.3
10/13/2015: 1 3rd Qu.:0.0
10/14/2015: 1 Max. :3.0
(Other) :84
> names(myfile)
[1] "Day" "Number.of.Crimes"
> attach(myfile)
> names(myfile)
[1] "Day" "Number.of.Crimes"
> hist(Number.of.Crimes, main="Number of Crimes(Burglary, Strongarm Robbery,
SimpleAssault/Battery, Theft of Automobile)")
> boxplot(Number.of.Crimes)
> stem(Number.of.Crimes)
The decimal point is at the |
0 | 00000000000000000000000000000000000000000000000000000000000000000000
0 |
1 | 000000000000000000
1 |
2 | 000
2 |
3 | 0
> var(Number.of.Crimes)
[1] 0.347191
> sd(Number.of.Crimes)

8. [1] 0.5892292
> length(Number.of.Crimes)
[1] 90
> t1.t.test(Number.of.Crimes, conf.level=0.90)
Error: could not find function "t1.t.test"
> t1=t.test(Number.of.Crimes, conf.level=0.90)
> t2=t.test(Number.of.Crimes, conf.level=0.95)
> t3=t.test(Number.of.Crimes, conf.level=0.99)
> t4=t.test(Number.of.Crimes, conf.level=1)
> t1
One Sample t-test
data: Number.of.Crimes
t = 4.8301, df = 89, p-value = 5.642e-06
alternative hypothesis: true mean is not equal to 0
90 percent confidence interval:
0.1967632 0.4032368
sample estimates:
mean of x
0.3
> t2
One Sample t-test
data: Number.of.Crimes
t = 4.8301, df = 89, p-value = 5.642e-06
alternative hypothesis: true mean is not equal to 0

9. 95 percent confidence interval:
0.1765883 0.4234117
sample estimates:
mean of x
0.3
> t3
One Sample t-test
data: Number.of.Crimes
t = 4.8301, df = 89, p-value = 5.642e-06
alternative hypothesis: true mean is not equal to 0
99 percent confidence interval:
0.1365133 0.4634867
sample estimates:
mean of x
0.3
> t4
One Sample t-test
data: Number.of.Crimes
t = 4.8301, df = 89, p-value = 5.642e-06
alternative hypothesis: true mean is not equal to 0
100 percent confidence interval:
-Inf Inf
sample estimates:

10. mean of x
0.3
> ppois(0, lambda=0.3, lower=FALSE)
[1] 0.2591818
> dpois(2:7, lambda=0.3, lower=FALSE)
Error in dpois(2:7, lambda = 0.3, lower = FALSE) :
unused argument (lower = FALSE)
> dpois(2:7, lambda=0.3)
[1] 3.333682e-02 3.333682e-03 2.500261e-04 1.500157e-05 7.500784e-07
[6] 3.214622e-08
> dpois(1, lambda=1/24)
[1] 0.03996623
> hist(Number.of.Crimes)
> dpois(1:3, lambda=0.3,)
[1] 0.222245466 0.033336820 0.003333682
> dpois(1:3, lambda=0.3)
[1] 0.222245466 0.033336820 0.003333682
> getwd()
[1] "C:/Users/Kaba/Documents"
> boxplot(Number.of.Crimes)