SlideShare a Scribd company logo
1 of 32
Reporting a Paired Sample t-test
Reporting a Paired Sample t-test 
Note – that the reporting format shown 
in this learning module is for APA. For 
other formats consult specific format 
guides.
Reporting a Paired Sample t-test 
Note – that the reporting format shown 
in this learning module is for APA. For 
other formats consult specific format 
guides. 
It is also recommended to consult the 
latest APA manual to compare what is 
described in this learning module with 
the most updated formats for APA.
• Reporting the Study using APA
• Reporting the Study using APA 
• You can report data from your own experiments by 
using the template below.
• Reporting the Study using APA 
• You can report data from your own experiments by 
using the template below. 
• “A paired-samples t-test was conducted to compare (your DV 
measure) _________ in (IV level / condition 1) ________and 
(IV level / condition 2)________ conditions.”
• Reporting the Study using APA 
• You can report data from your own experiments by 
using the template below. 
• “A paired-samples t-test was conducted to compare (your DV 
measure) _________ in (IV level / condition 1) ________and 
(IV level / condition 2)________ conditions.” 
• “A paired-samples t-test was conducted to compare number 
of pizza slices eaten in one sitting by football players before 
the football season and after the football season”.
• Reporting Results using APA
• Reporting Results using APA 
• You want to tell your reader whether or not there 
was a significant difference between condition 
means. You can report data from your own 
experiments by using the template below.
• Reporting Results using APA 
• You want to tell your reader whether or not there 
was a significant difference between condition 
means. You can report data from your own 
experiments by using the template below. 
• “There was a significant (not a significant) difference in the 
scores for IV level 1 (M=___, SD=___) and IV level 2 (M=___, 
SD=___) conditions; t(__)=___, p = ____”
• Just fill in the blanks by using the SPSS output
• Just fill in the blanks by using the SPSS output 
• Let’s start by filling in the Mean and Standard 
Deviation for each condition
• Just fill in the blanks by using the SPSS output 
• Let’s start by filling in the Mean and Standard 
Deviation for each condition 
• “There was a significant (not a significant) difference in the 
scores for IV level 1 (M=___, SD=___) and IV level 2 (M=___, 
SD=___) conditions; t(__)=___, p = ____”
• Just fill in the blanks by using the SPSS output 
• Let’s start by filling in the Mean and Standard 
Deviation for each condition 
• “There was a significant (not a significant) difference in the 
scores for IV level 1 (M=___, SD=___) and IV level 2 (M=___, 
SD=___) conditions; t(__)=___, p = ____” 
Paired Samples Statistics 
Mean N Std. Deviation Std. Error Mean 
Pair 1 Before_Season 
5.1739 23 1.40299 .29254 
After_Season 
6.7391 23 1.62976 .33983
• Just fill in the blanks by using the SPSS output 
• Let’s start by filling in the Mean and Standard 
Deviation for each condition 
• “There was a significant (not a significant) difference in the 
scores for IV level 1 (M=___, SD=___) and IV level 2 (M=___, 
SD=___) conditions; t(__)=___, p = ____” 
Paired Samples Statistics 
Mean N Std. Deviation Std. Error Mean 
Pair 1 Before_Season 
5.1739 23 1.40299 .29254 
After_Season 
6.7391 23 1.62976 .33983 
• “There was a significant (not a significant) difference in the 
scores for IV level 1 (M=5.17, SD=___) and IV level 2 (M=___, 
SD=___) conditions; t(__)=___, p = ____”
• Just fill in the blanks by using the SPSS output 
• Let’s start by filling in the Mean and Standard 
Deviation for each condition 
• “There was a significant (not a significant) difference in the 
scores for IV level 1 (M=___, SD=___) and IV level 2 (M=___, 
SD=___) conditions; t(__)=___, p = ____” 
Paired Samples Statistics 
Mean N Std. Deviation Std. Error Mean 
Pair 1 Before_Season 
5.1739 23 1.40299 .29254 
After_Season 
6.7391 23 1.62976 .33983 
• “There was a significant (not a significant) difference in the 
scores for IV level 1 (M=5.17, SD=___) and IV level 2 (M=___, 
SD=___) conditions; t(__)=___, p = ____”
• Just fill in the blanks by using the SPSS output 
• Let’s start by filling in the Mean and Standard 
Deviation for each condition 
• “There was a significant (not a significant) difference in the 
scores for IV level 1 (M=___, SD=___) and IV level 2 (M=___, 
SD=___) conditions; t(__)=___, p = ____” 
Paired Samples Statistics 
Mean N Std. Deviation Std. Error Mean 
Pair 1 Before_Season 
5.1739 23 1.40299 .29254 
After_Season 
6.7391 23 1.62976 .33983 
• “There was a significant (not a significant) difference in the 
scores for IV level 1 (M=5.17, SD=1.40) and IV level 2 (M=___, 
SD=___) conditions; t(__)=___, p = ____”
• Just fill in the blanks by using the SPSS output 
• Let’s start by filling in the Mean and Standard 
Deviation for each condition 
• “There was a significant (not a significant) difference in the 
scores for IV level 1 (M=___, SD=___) and IV level 2 (M=___, 
SD=___) conditions; t(__)=___, p = ____” 
Paired Samples Statistics 
Mean N Std. Deviation Std. Error Mean 
Pair 1 Before_Season 
5.1739 23 1.40299 .29254 
After_Season 
6.7391 23 1.62976 .33983 
• “There was a significant (not a significant) difference in the 
scores for IV level 1 (M=5.17, SD=1.40) and IV level 2 (M=___, 
SD=___) conditions; t(__)=___, p = ____”
• Just fill in the blanks by using the SPSS output 
• Let’s start by filling in the Mean and Standard 
Deviation for each condition 
• “There was a significant (not a significant) difference in the 
scores for IV level 1 (M=___, SD=___) and IV level 2 (M=___, 
SD=___) conditions; t(__)=___, p = ____” 
Paired Samples Statistics 
Mean N Std. Deviation Std. Error Mean 
Pair 1 Before_Season 
5.1739 23 1.40299 .29254 
After_Season 
6.7391 23 1.62976 .33983 
• “There was a significant (not a significant) difference in the 
scores for IV level 1 (M=5.17, SD=1.40) and IV level 2 (M=6.73 
SD=___) conditions; t(__)=___, p = ____”
• Just fill in the blanks by using the SPSS output 
• Let’s start by filling in the Mean and Standard 
Deviation for each condition 
• “There was a significant (not a significant) difference in the 
scores for IV level 1 (M=___, SD=___) and IV level 2 (M=___, 
SD=___) conditions; t(__)=___, p = ____” 
Paired Samples Statistics 
Mean N Std. Deviation Std. Error Mean 
Pair 1 Before_Season 
5.1739 23 1.40299 .29254 
After_Season 
6.7391 23 1.62976 .33983 
• “There was a significant (not a significant) difference in the 
scores for IV level 1 (M=5.17, SD=1.40) and IV level 2 (M=6.73 
SD=___) conditions; t(__)=___, p = ____”
• Just fill in the blanks by using the SPSS output 
• Let’s start by filling in the Mean and Standard 
Deviation for each condition 
• “There was a significant (not a significant) difference in the 
scores for IV level 1 (M=___, SD=___) and IV level 2 (M=___, 
SD=___) conditions; t(__)=___, p = ____” 
Paired Samples Statistics 
Mean N Std. Deviation Std. Error Mean 
Pair 1 Before_Season 
5.1739 23 1.40299 .29254 
After_Season 
6.7391 23 1.62976 .33983 
• “There was a significant (not a significant) difference in the 
scores for IV level 1 (M=5.17, SD=1.40) and IV level 2 (M=6.73 
SD=1.63) conditions; t(__)=___, p = ____”
• Just fill in the blanks by using the SPSS output 
• Let’s start by filling in the Mean and Standard 
Deviation for each condition 
• “There was a significant (not a significant) difference in the 
scores for IV level 1 (M=___, SD=___) and IV level 2 (M=___, 
SD=___) conditions; t(__)=___, p = ____” 
Paired Samples Statistics 
Mean N Std. Deviation Std. Error Mean 
Pair 1 Before_Season 
5.1739 23 1.40299 .29254 
After_Season 
6.7391 23 1.62976 .33983 
• “There was a significant (not a significant) difference in the 
scores for IV level 1 (M=5.17, SD=1.40) and IV level 2 (M=6.73 
SD=1.63) conditions; t(__)=___, p = ____”
• Just fill in the blanks by using the SPSS output 
• Let’s start by filling in the Mean and Standard 
Deviation for each condition 
• “There was a significant (not a significant) difference in the 
scores for IV level 1 (M=___, SD=___) and IV level 2 (M=___, 
SD=___) conditions; t(__)=___, p = ____” 
Paired Samples Test 
Paired Differences 
Std. 
Deviation 
Std. 
Error 
Mean 
95% Confidence 
Interval of the 
Difference 
Mean Lower Upper 
t df Sig. (2-tailed) 
Pair 1 Before_Season 
- After_Season 
-1.56522 1.61881 .33755 -2.26524 -.86519 -4.637 22 .000
• Just fill in the blanks by using the SPSS output 
• Let’s start by filling in the Mean and Standard 
Deviation for each condition 
• “There was a significant (not a significant) difference in the 
scores for IV level 1 (M=___, SD=___) and IV level 2 (M=___, 
SD=___) conditions; t(__)=___, p = ____” 
Paired Samples Test 
Paired Differences 
Std. 
Deviation 
Std. 
Error 
Mean 
95% Confidence 
Interval of the 
Difference 
Mean Lower Upper 
t df Sig. (2-tailed) 
Pair 1 Before_Season 
- After_Season 
-1.56522 1.61881 .33755 -2.26524 -.86519 -4.637 22 .000 
• “There was a significant (not a significant) difference in the 
scores for IV level 1 (M=5.17, SD=1.40) and IV level 2 (M=6.73 
SD=1.63) conditions; t(22)=___, p = ____”
• Just fill in the blanks by using the SPSS output 
• Let’s start by filling in the Mean and Standard 
Deviation for each condition 
• “There was a significant (not a significant) difference in the 
scores for IV level 1 (M=___, SD=___) and IV level 2 (M=___, 
SD=___) conditions; t(__)=___, p = ____” 
Paired Samples Test 
Paired Differences 
Std. 
Deviation 
Std. 
Error 
Mean 
95% Confidence 
Interval of the 
Difference 
Mean Lower Upper 
t df Sig. (2-tailed) 
Pair 1 Before_Season 
- After_Season 
-1.56522 1.61881 .33755 -2.26524 -.86519 -4.637 22 .000 
• “There was a significant (not a significant) difference in the 
scores for IV level 1 (M=5.17, SD=1.40) and IV level 2 (M=6.73 
SD=1.63) conditions; t(22)=___, p = ____”
• Just fill in the blanks by using the SPSS output 
• Let’s start by filling in the Mean and Standard 
Deviation for each condition 
• “There was a significant (not a significant) difference in the 
scores for IV level 1 (M=___, SD=___) and IV level 2 (M=___, 
SD=___) conditions; t(__)=___, p = ____” 
Paired Samples Test 
Paired Differences 
Std. 
Deviation 
Std. 
Error 
Mean 
95% Confidence 
Interval of the 
Difference 
Mean Lower Upper 
t df Sig. (2-tailed) 
Pair 1 Before_Season 
- After_Season 
-1.56522 1.61881 .33755 -2.26524 -.86519 -4.637 22 .000 
• “There was a significant (not a significant) difference in the 
scores for IV level 1 (M=5.17, SD=1.40) and IV level 2 (M=6.73 
SD=1.63) conditions; t(22)=___, p = ____” 
Degrees of 
Freedom
• Just fill in the blanks by using the SPSS output 
• Let’s start by filling in the Mean and Standard 
Deviation for each condition 
• “There was a significant (not a significant) difference in the 
scores for IV level 1 (M=___, SD=___) and IV level 2 (M=___, 
SD=___) conditions; t(__)=___, p = ____” 
Paired Samples Test 
Paired Differences 
Std. 
Deviation 
Std. 
Error 
Mean 
95% Confidence 
Interval of the 
Difference 
Mean Lower Upper 
t df Sig. (2-tailed) 
Pair 1 Before_Season 
- After_Season 
-1.56522 1.61881 .33755 -2.26524 -.86519 -4.637 22 .000 
• “There was a significant (not a significant) difference in the 
scores for IV level 1 (M=5.17, SD=1.40) and IV level 2 (M=6.73 
SD=1.63) conditions; t(22)= -4.64, p = ____”
• Just fill in the blanks by using the SPSS output 
• Let’s start by filling in the Mean and Standard 
Deviation for each condition 
• “There was a significant (not a significant) difference in the 
scores for IV level 1 (M=___, SD=___) and IV level 2 (M=___, 
SD=___) conditions; t(__)=___, p = ____” 
Paired Samples Test 
Paired Differences 
Std. 
Deviation 
Std. 
Error 
Mean 
95% Confidence 
Interval of the 
Difference 
Mean Lower Upper 
t df Sig. (2-tailed) 
Pair 1 Before_Season 
- After_Season 
-1.56522 1.61881 .33755 -2.26524 -.86519 -4.637 22 .000 
• “There was a significant (not a significant) difference in the 
scores for IV level 1 (M=5.17, SD=1.40) and IV level 2 (M=6.73 
SD=1.63) conditions; t(22)= -4.64, p = ____”
• Just fill in the blanks by using the SPSS output 
• Let’s start by filling in the Mean and Standard 
Deviation for each condition 
• “There was a significant (not a significant) difference in the 
scores for IV level 1 (M=___, SD=___) and IV level 2 (M=___, 
SD=___) conditions; t(__)=___, p = ____” 
Paired Samples Test 
Paired Differences 
Std. 
Deviation 
Std. 
Error 
Mean 
95% Confidence 
Interval of the 
Difference 
Mean Lower Upper 
t df Sig. (2-tailed) 
Pair 1 Before_Season 
- After_Season 
-1.56522 1.61881 .33755 -2.26524 -.86519 -4.637 22 .000 
• “There was a significant (not a significant) difference in the 
scores for IV level 1 (M=5.17, SD=1.40) and IV level 2 (M=6.73 
SD=1.63) conditions; t(22)= -4.64, p = .000”
• Just fill in the blanks by using the SPSS output 
• Let’s start by filling in the Mean and Standard 
Deviation for each condition 
• “There was a significant (not a significant) difference in the 
scores for IV level 1 (M=___, SD=___) and IV level 2 (M=___, 
SD=___) conditions; t(__)=___, p = ____” 
Paired Samples Test 
Paired Differences 
Std. 
Deviation 
Std. 
Error 
Mean 
95% Confidence 
Interval of the 
Difference 
Mean Lower Upper 
t df Sig. (2-tailed) 
Pair 1 Before_Season 
- After_Season 
-1.56522 1.61881 .33755 -2.26524 -.86519 -4.637 22 .000 
• “There was a significant (not a significant) difference in the 
scores for IV level 1 (M=5.17, SD=1.40) and IV level 2 (M=6.73 
SD=1.63) conditions; t(22)= -4.64, p = .000”
Here the final result:
“There was a significant increase in the number of 
pizza slices eaten by football players after the season 
(M=5.17, SD=1.40) than before the season (M=6.73 
SD=1.63); t(22)= 4.64, p = .000”

More Related Content

What's hot

Reporting a multiple linear regression in apa
Reporting a multiple linear regression in apaReporting a multiple linear regression in apa
Reporting a multiple linear regression in apaKen Plummer
 
Reporting Mann Whitney U Test in APA
Reporting Mann Whitney U Test in APAReporting Mann Whitney U Test in APA
Reporting Mann Whitney U Test in APAKen Plummer
 
Reporting a Factorial ANOVA
Reporting a Factorial ANOVAReporting a Factorial ANOVA
Reporting a Factorial ANOVAKen Plummer
 
Reporting the wilcoxon signed ranks test
Reporting the wilcoxon signed ranks testReporting the wilcoxon signed ranks test
Reporting the wilcoxon signed ranks testKen Plummer
 
Reporting a Kruskal Wallis Test
Reporting a Kruskal Wallis TestReporting a Kruskal Wallis Test
Reporting a Kruskal Wallis TestKen Plummer
 
Reporting statistics in psychology
Reporting statistics in psychologyReporting statistics in psychology
Reporting statistics in psychologyReiner-Vinicius
 
Reporting a single linear regression in apa
Reporting a single linear regression in apaReporting a single linear regression in apa
Reporting a single linear regression in apaKen Plummer
 
Reporting a one way ANOVA
Reporting a one way ANOVAReporting a one way ANOVA
Reporting a one way ANOVAAmit Sharma
 
Reporting a single sample t-test
Reporting a single sample t-testReporting a single sample t-test
Reporting a single sample t-testKen Plummer
 
Reporting Chi Square Test of Independence in APA
Reporting Chi Square Test of Independence in APAReporting Chi Square Test of Independence in APA
Reporting Chi Square Test of Independence in APAKen Plummer
 
Reporting a partial correlation in apa
Reporting a partial correlation in apaReporting a partial correlation in apa
Reporting a partial correlation in apaKen Plummer
 
Reporting Pearson Correlation Test of Independence in APA
Reporting Pearson Correlation Test of Independence in APAReporting Pearson Correlation Test of Independence in APA
Reporting Pearson Correlation Test of Independence in APAKen Plummer
 
Reporting point biserial correlation in apa
Reporting point biserial correlation in apaReporting point biserial correlation in apa
Reporting point biserial correlation in apaKen Plummer
 
Reporting a non parametric Friedman test in APA
Reporting a non parametric Friedman test in APAReporting a non parametric Friedman test in APA
Reporting a non parametric Friedman test in APAKen Plummer
 
Reporting spearman rho in apa
Reporting spearman rho in apaReporting spearman rho in apa
Reporting spearman rho in apaKen Plummer
 
Reporting chi square goodness of fit test of independence in apa
Reporting chi square goodness of fit test of independence in apaReporting chi square goodness of fit test of independence in apa
Reporting chi square goodness of fit test of independence in apaKen Plummer
 
Mixed between-within groups ANOVA
Mixed between-within groups ANOVAMixed between-within groups ANOVA
Mixed between-within groups ANOVAMahsa Farahanynia
 
What is an ANCOVA?
What is an ANCOVA?What is an ANCOVA?
What is an ANCOVA?Ken Plummer
 
Running & Reporting an One-way ANCOVA in SPSS
Running & Reporting an One-way ANCOVA in SPSSRunning & Reporting an One-way ANCOVA in SPSS
Running & Reporting an One-way ANCOVA in SPSSKen Plummer
 
Reporting pearson correlation in apa
Reporting pearson correlation in apa Reporting pearson correlation in apa
Reporting pearson correlation in apa Amit Sharma
 

What's hot (20)

Reporting a multiple linear regression in apa
Reporting a multiple linear regression in apaReporting a multiple linear regression in apa
Reporting a multiple linear regression in apa
 
Reporting Mann Whitney U Test in APA
Reporting Mann Whitney U Test in APAReporting Mann Whitney U Test in APA
Reporting Mann Whitney U Test in APA
 
Reporting a Factorial ANOVA
Reporting a Factorial ANOVAReporting a Factorial ANOVA
Reporting a Factorial ANOVA
 
Reporting the wilcoxon signed ranks test
Reporting the wilcoxon signed ranks testReporting the wilcoxon signed ranks test
Reporting the wilcoxon signed ranks test
 
Reporting a Kruskal Wallis Test
Reporting a Kruskal Wallis TestReporting a Kruskal Wallis Test
Reporting a Kruskal Wallis Test
 
Reporting statistics in psychology
Reporting statistics in psychologyReporting statistics in psychology
Reporting statistics in psychology
 
Reporting a single linear regression in apa
Reporting a single linear regression in apaReporting a single linear regression in apa
Reporting a single linear regression in apa
 
Reporting a one way ANOVA
Reporting a one way ANOVAReporting a one way ANOVA
Reporting a one way ANOVA
 
Reporting a single sample t-test
Reporting a single sample t-testReporting a single sample t-test
Reporting a single sample t-test
 
Reporting Chi Square Test of Independence in APA
Reporting Chi Square Test of Independence in APAReporting Chi Square Test of Independence in APA
Reporting Chi Square Test of Independence in APA
 
Reporting a partial correlation in apa
Reporting a partial correlation in apaReporting a partial correlation in apa
Reporting a partial correlation in apa
 
Reporting Pearson Correlation Test of Independence in APA
Reporting Pearson Correlation Test of Independence in APAReporting Pearson Correlation Test of Independence in APA
Reporting Pearson Correlation Test of Independence in APA
 
Reporting point biserial correlation in apa
Reporting point biserial correlation in apaReporting point biserial correlation in apa
Reporting point biserial correlation in apa
 
Reporting a non parametric Friedman test in APA
Reporting a non parametric Friedman test in APAReporting a non parametric Friedman test in APA
Reporting a non parametric Friedman test in APA
 
Reporting spearman rho in apa
Reporting spearman rho in apaReporting spearman rho in apa
Reporting spearman rho in apa
 
Reporting chi square goodness of fit test of independence in apa
Reporting chi square goodness of fit test of independence in apaReporting chi square goodness of fit test of independence in apa
Reporting chi square goodness of fit test of independence in apa
 
Mixed between-within groups ANOVA
Mixed between-within groups ANOVAMixed between-within groups ANOVA
Mixed between-within groups ANOVA
 
What is an ANCOVA?
What is an ANCOVA?What is an ANCOVA?
What is an ANCOVA?
 
Running & Reporting an One-way ANCOVA in SPSS
Running & Reporting an One-way ANCOVA in SPSSRunning & Reporting an One-way ANCOVA in SPSS
Running & Reporting an One-way ANCOVA in SPSS
 
Reporting pearson correlation in apa
Reporting pearson correlation in apa Reporting pearson correlation in apa
Reporting pearson correlation in apa
 

Similar to Reporting a paired sample t test

NGR 7848 Fundamentals of Statistics for Clinicians Ho.docx
NGR 7848 Fundamentals of Statistics for Clinicians   Ho.docxNGR 7848 Fundamentals of Statistics for Clinicians   Ho.docx
NGR 7848 Fundamentals of Statistics for Clinicians Ho.docxhenrymartin15260
 
Assessment 3 – Hypothesis, Effect Size, Power, and t Tests.docx
Assessment 3 – Hypothesis, Effect Size, Power, and t Tests.docxAssessment 3 – Hypothesis, Effect Size, Power, and t Tests.docx
Assessment 3 – Hypothesis, Effect Size, Power, and t Tests.docxcargillfilberto
 
Topic 8a Basic Statistics
Topic 8a Basic StatisticsTopic 8a Basic Statistics
Topic 8a Basic StatisticsYee Bee Choo
 
Introduction to statistics 3
Introduction to statistics 3Introduction to statistics 3
Introduction to statistics 3David Balfour
 
ANOVA, Chi-Square Tests, and RegressionComplete the followin.docx
ANOVA, Chi-Square Tests, and RegressionComplete the followin.docxANOVA, Chi-Square Tests, and RegressionComplete the followin.docx
ANOVA, Chi-Square Tests, and RegressionComplete the followin.docxamrit47
 
Inferential Statistics.pptx
Inferential Statistics.pptxInferential Statistics.pptx
Inferential Statistics.pptxjonatanjohn1
 
jhghgjhgjhgjhfhcgjfjhvjhjgjkggjhgjhgjhfjgjgfgfhgfhg
jhghgjhgjhgjhfhcgjfjhvjhjgjkggjhgjhgjhfjgjgfgfhgfhgjhghgjhgjhgjhfhcgjfjhvjhjgjkggjhgjhgjhfjgjgfgfhgfhg
jhghgjhgjhgjhfhcgjfjhvjhjgjkggjhgjhgjhfjgjgfgfhgfhgUMAIRASHFAQ20
 
Measures of Variability
Measures of VariabilityMeasures of Variability
Measures of Variabilityjasondroesch
 
1.What would be the appropriate statistical procedure to test t.docx
1.What would be the appropriate statistical procedure to test t.docx1.What would be the appropriate statistical procedure to test t.docx
1.What would be the appropriate statistical procedure to test t.docxhyacinthshackley2629
 
Hypothesis testing - II.pptx
Hypothesis testing - II.pptxHypothesis testing - II.pptx
Hypothesis testing - II.pptxShashvatSingh12
 
measure of dispersion
measure of dispersion measure of dispersion
measure of dispersion som allul
 
Work hard to make certain that the results you have are accurate b.docx
Work hard to make certain that the results you have are accurate b.docxWork hard to make certain that the results you have are accurate b.docx
Work hard to make certain that the results you have are accurate b.docxkeilenettie
 

Similar to Reporting a paired sample t test (20)

NGR 7848 Fundamentals of Statistics for Clinicians Ho.docx
NGR 7848 Fundamentals of Statistics for Clinicians   Ho.docxNGR 7848 Fundamentals of Statistics for Clinicians   Ho.docx
NGR 7848 Fundamentals of Statistics for Clinicians Ho.docx
 
Assessment 3 – Hypothesis, Effect Size, Power, and t Tests.docx
Assessment 3 – Hypothesis, Effect Size, Power, and t Tests.docxAssessment 3 – Hypothesis, Effect Size, Power, and t Tests.docx
Assessment 3 – Hypothesis, Effect Size, Power, and t Tests.docx
 
Two variances or standard deviations
Two variances or standard deviations  Two variances or standard deviations
Two variances or standard deviations
 
Repeated Measures t-test
Repeated Measures t-testRepeated Measures t-test
Repeated Measures t-test
 
Topic 8a Basic Statistics
Topic 8a Basic StatisticsTopic 8a Basic Statistics
Topic 8a Basic Statistics
 
Introduction to statistics 3
Introduction to statistics 3Introduction to statistics 3
Introduction to statistics 3
 
ANOVA, Chi-Square Tests, and RegressionComplete the followin.docx
ANOVA, Chi-Square Tests, and RegressionComplete the followin.docxANOVA, Chi-Square Tests, and RegressionComplete the followin.docx
ANOVA, Chi-Square Tests, and RegressionComplete the followin.docx
 
Inferential Statistics.pptx
Inferential Statistics.pptxInferential Statistics.pptx
Inferential Statistics.pptx
 
classmar16.ppt
classmar16.pptclassmar16.ppt
classmar16.ppt
 
classmar16.ppt
classmar16.pptclassmar16.ppt
classmar16.ppt
 
K.A.Sindhura-t,z,f tests
K.A.Sindhura-t,z,f testsK.A.Sindhura-t,z,f tests
K.A.Sindhura-t,z,f tests
 
Two dependent samples (matched pairs)
Two dependent samples (matched pairs) Two dependent samples (matched pairs)
Two dependent samples (matched pairs)
 
jhghgjhgjhgjhfhcgjfjhvjhjgjkggjhgjhgjhfjgjgfgfhgfhg
jhghgjhgjhgjhfhcgjfjhvjhjgjkggjhgjhgjhfjgjgfgfhgfhgjhghgjhgjhgjhfhcgjfjhvjhjgjkggjhgjhgjhfjgjgfgfhgfhg
jhghgjhgjhgjhfhcgjfjhvjhjgjkggjhgjhgjhfjgjgfgfhgfhg
 
Correlation
Correlation  Correlation
Correlation
 
Measures of Variability
Measures of VariabilityMeasures of Variability
Measures of Variability
 
1.What would be the appropriate statistical procedure to test t.docx
1.What would be the appropriate statistical procedure to test t.docx1.What would be the appropriate statistical procedure to test t.docx
1.What would be the appropriate statistical procedure to test t.docx
 
Statistics
StatisticsStatistics
Statistics
 
Hypothesis testing - II.pptx
Hypothesis testing - II.pptxHypothesis testing - II.pptx
Hypothesis testing - II.pptx
 
measure of dispersion
measure of dispersion measure of dispersion
measure of dispersion
 
Work hard to make certain that the results you have are accurate b.docx
Work hard to make certain that the results you have are accurate b.docxWork hard to make certain that the results you have are accurate b.docx
Work hard to make certain that the results you have are accurate b.docx
 

More from Ken Plummer

Diff rel gof-fit - jejit - practice (5)
Diff rel gof-fit - jejit - practice (5)Diff rel gof-fit - jejit - practice (5)
Diff rel gof-fit - jejit - practice (5)Ken Plummer
 
Learn About Range - Copyright updated
Learn About Range - Copyright updatedLearn About Range - Copyright updated
Learn About Range - Copyright updatedKen Plummer
 
Inferential vs descriptive tutorial of when to use - Copyright Updated
Inferential vs descriptive tutorial of when to use - Copyright UpdatedInferential vs descriptive tutorial of when to use - Copyright Updated
Inferential vs descriptive tutorial of when to use - Copyright UpdatedKen Plummer
 
Diff rel ind-fit practice - Copyright Updated
Diff rel ind-fit practice - Copyright UpdatedDiff rel ind-fit practice - Copyright Updated
Diff rel ind-fit practice - Copyright UpdatedKen Plummer
 
Normal or skewed distributions (inferential) - Copyright updated
Normal or skewed distributions (inferential) - Copyright updatedNormal or skewed distributions (inferential) - Copyright updated
Normal or skewed distributions (inferential) - Copyright updatedKen Plummer
 
Normal or skewed distributions (descriptive both2) - Copyright updated
Normal or skewed distributions (descriptive both2) - Copyright updatedNormal or skewed distributions (descriptive both2) - Copyright updated
Normal or skewed distributions (descriptive both2) - Copyright updatedKen Plummer
 
Nature of the data practice - Copyright updated
Nature of the data practice - Copyright updatedNature of the data practice - Copyright updated
Nature of the data practice - Copyright updatedKen Plummer
 
Nature of the data (spread) - Copyright updated
Nature of the data (spread) - Copyright updatedNature of the data (spread) - Copyright updated
Nature of the data (spread) - Copyright updatedKen Plummer
 
Mode practice 1 - Copyright updated
Mode practice 1 - Copyright updatedMode practice 1 - Copyright updated
Mode practice 1 - Copyright updatedKen Plummer
 
Nature of the data (descriptive) - Copyright updated
Nature of the data (descriptive) - Copyright updatedNature of the data (descriptive) - Copyright updated
Nature of the data (descriptive) - Copyright updatedKen Plummer
 
Dichotomous or scaled
Dichotomous or scaledDichotomous or scaled
Dichotomous or scaledKen Plummer
 
Skewed less than 30 (ties)
Skewed less than 30 (ties)Skewed less than 30 (ties)
Skewed less than 30 (ties)Ken Plummer
 
Skewed sample size less than 30
Skewed sample size less than 30Skewed sample size less than 30
Skewed sample size less than 30Ken Plummer
 
Ordinal and nominal
Ordinal and nominalOrdinal and nominal
Ordinal and nominalKen Plummer
 
Relationship covariates
Relationship   covariatesRelationship   covariates
Relationship covariatesKen Plummer
 
Relationship nature of data
Relationship nature of dataRelationship nature of data
Relationship nature of dataKen Plummer
 
Number of variables (predictive)
Number of variables (predictive)Number of variables (predictive)
Number of variables (predictive)Ken Plummer
 
Levels of the iv
Levels of the ivLevels of the iv
Levels of the ivKen Plummer
 
Independent variables (2)
Independent variables (2)Independent variables (2)
Independent variables (2)Ken Plummer
 

More from Ken Plummer (20)

Diff rel gof-fit - jejit - practice (5)
Diff rel gof-fit - jejit - practice (5)Diff rel gof-fit - jejit - practice (5)
Diff rel gof-fit - jejit - practice (5)
 
Learn About Range - Copyright updated
Learn About Range - Copyright updatedLearn About Range - Copyright updated
Learn About Range - Copyright updated
 
Inferential vs descriptive tutorial of when to use - Copyright Updated
Inferential vs descriptive tutorial of when to use - Copyright UpdatedInferential vs descriptive tutorial of when to use - Copyright Updated
Inferential vs descriptive tutorial of when to use - Copyright Updated
 
Diff rel ind-fit practice - Copyright Updated
Diff rel ind-fit practice - Copyright UpdatedDiff rel ind-fit practice - Copyright Updated
Diff rel ind-fit practice - Copyright Updated
 
Normal or skewed distributions (inferential) - Copyright updated
Normal or skewed distributions (inferential) - Copyright updatedNormal or skewed distributions (inferential) - Copyright updated
Normal or skewed distributions (inferential) - Copyright updated
 
Normal or skewed distributions (descriptive both2) - Copyright updated
Normal or skewed distributions (descriptive both2) - Copyright updatedNormal or skewed distributions (descriptive both2) - Copyright updated
Normal or skewed distributions (descriptive both2) - Copyright updated
 
Nature of the data practice - Copyright updated
Nature of the data practice - Copyright updatedNature of the data practice - Copyright updated
Nature of the data practice - Copyright updated
 
Nature of the data (spread) - Copyright updated
Nature of the data (spread) - Copyright updatedNature of the data (spread) - Copyright updated
Nature of the data (spread) - Copyright updated
 
Mode practice 1 - Copyright updated
Mode practice 1 - Copyright updatedMode practice 1 - Copyright updated
Mode practice 1 - Copyright updated
 
Nature of the data (descriptive) - Copyright updated
Nature of the data (descriptive) - Copyright updatedNature of the data (descriptive) - Copyright updated
Nature of the data (descriptive) - Copyright updated
 
Dichotomous or scaled
Dichotomous or scaledDichotomous or scaled
Dichotomous or scaled
 
Skewed less than 30 (ties)
Skewed less than 30 (ties)Skewed less than 30 (ties)
Skewed less than 30 (ties)
 
Skewed sample size less than 30
Skewed sample size less than 30Skewed sample size less than 30
Skewed sample size less than 30
 
Ordinal (ties)
Ordinal (ties)Ordinal (ties)
Ordinal (ties)
 
Ordinal and nominal
Ordinal and nominalOrdinal and nominal
Ordinal and nominal
 
Relationship covariates
Relationship   covariatesRelationship   covariates
Relationship covariates
 
Relationship nature of data
Relationship nature of dataRelationship nature of data
Relationship nature of data
 
Number of variables (predictive)
Number of variables (predictive)Number of variables (predictive)
Number of variables (predictive)
 
Levels of the iv
Levels of the ivLevels of the iv
Levels of the iv
 
Independent variables (2)
Independent variables (2)Independent variables (2)
Independent variables (2)
 

Recently uploaded

Web & Social Media Analytics Previous Year Question Paper.pdf
Web & Social Media Analytics Previous Year Question Paper.pdfWeb & Social Media Analytics Previous Year Question Paper.pdf
Web & Social Media Analytics Previous Year Question Paper.pdfJayanti Pande
 
9548086042 for call girls in Indira Nagar with room service
9548086042  for call girls in Indira Nagar  with room service9548086042  for call girls in Indira Nagar  with room service
9548086042 for call girls in Indira Nagar with room servicediscovermytutordmt
 
Student login on Anyboli platform.helpin
Student login on Anyboli platform.helpinStudent login on Anyboli platform.helpin
Student login on Anyboli platform.helpinRaunakKeshri1
 
APM Welcome, APM North West Network Conference, Synergies Across Sectors
APM Welcome, APM North West Network Conference, Synergies Across SectorsAPM Welcome, APM North West Network Conference, Synergies Across Sectors
APM Welcome, APM North West Network Conference, Synergies Across SectorsAssociation for Project Management
 
Grant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingGrant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingTechSoup
 
Beyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global ImpactBeyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global ImpactPECB
 
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...EduSkills OECD
 
Organic Name Reactions for the students and aspirants of Chemistry12th.pptx
Organic Name Reactions  for the students and aspirants of Chemistry12th.pptxOrganic Name Reactions  for the students and aspirants of Chemistry12th.pptx
Organic Name Reactions for the students and aspirants of Chemistry12th.pptxVS Mahajan Coaching Centre
 
Accessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactAccessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactdawncurless
 
1029-Danh muc Sach Giao Khoa khoi 6.pdf
1029-Danh muc Sach Giao Khoa khoi  6.pdf1029-Danh muc Sach Giao Khoa khoi  6.pdf
1029-Danh muc Sach Giao Khoa khoi 6.pdfQucHHunhnh
 
Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104misteraugie
 
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdfBASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdfSoniaTolstoy
 
The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13Steve Thomason
 
Russian Call Girls in Andheri Airport Mumbai WhatsApp 9167673311 💞 Full Nigh...
Russian Call Girls in Andheri Airport Mumbai WhatsApp  9167673311 💞 Full Nigh...Russian Call Girls in Andheri Airport Mumbai WhatsApp  9167673311 💞 Full Nigh...
Russian Call Girls in Andheri Airport Mumbai WhatsApp 9167673311 💞 Full Nigh...Pooja Nehwal
 
mini mental status format.docx
mini    mental       status     format.docxmini    mental       status     format.docx
mini mental status format.docxPoojaSen20
 
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxPOINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxSayali Powar
 
BAG TECHNIQUE Bag technique-a tool making use of public health bag through wh...
BAG TECHNIQUE Bag technique-a tool making use of public health bag through wh...BAG TECHNIQUE Bag technique-a tool making use of public health bag through wh...
BAG TECHNIQUE Bag technique-a tool making use of public health bag through wh...Sapna Thakur
 

Recently uploaded (20)

Código Creativo y Arte de Software | Unidad 1
Código Creativo y Arte de Software | Unidad 1Código Creativo y Arte de Software | Unidad 1
Código Creativo y Arte de Software | Unidad 1
 
Web & Social Media Analytics Previous Year Question Paper.pdf
Web & Social Media Analytics Previous Year Question Paper.pdfWeb & Social Media Analytics Previous Year Question Paper.pdf
Web & Social Media Analytics Previous Year Question Paper.pdf
 
9548086042 for call girls in Indira Nagar with room service
9548086042  for call girls in Indira Nagar  with room service9548086042  for call girls in Indira Nagar  with room service
9548086042 for call girls in Indira Nagar with room service
 
Student login on Anyboli platform.helpin
Student login on Anyboli platform.helpinStudent login on Anyboli platform.helpin
Student login on Anyboli platform.helpin
 
APM Welcome, APM North West Network Conference, Synergies Across Sectors
APM Welcome, APM North West Network Conference, Synergies Across SectorsAPM Welcome, APM North West Network Conference, Synergies Across Sectors
APM Welcome, APM North West Network Conference, Synergies Across Sectors
 
Grant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingGrant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy Consulting
 
Beyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global ImpactBeyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global Impact
 
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
 
Organic Name Reactions for the students and aspirants of Chemistry12th.pptx
Organic Name Reactions  for the students and aspirants of Chemistry12th.pptxOrganic Name Reactions  for the students and aspirants of Chemistry12th.pptx
Organic Name Reactions for the students and aspirants of Chemistry12th.pptx
 
Accessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactAccessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impact
 
1029-Danh muc Sach Giao Khoa khoi 6.pdf
1029-Danh muc Sach Giao Khoa khoi  6.pdf1029-Danh muc Sach Giao Khoa khoi  6.pdf
1029-Danh muc Sach Giao Khoa khoi 6.pdf
 
Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104
 
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdfBASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
 
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptxINDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
 
The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13
 
Mattingly "AI & Prompt Design: Structured Data, Assistants, & RAG"
Mattingly "AI & Prompt Design: Structured Data, Assistants, & RAG"Mattingly "AI & Prompt Design: Structured Data, Assistants, & RAG"
Mattingly "AI & Prompt Design: Structured Data, Assistants, & RAG"
 
Russian Call Girls in Andheri Airport Mumbai WhatsApp 9167673311 💞 Full Nigh...
Russian Call Girls in Andheri Airport Mumbai WhatsApp  9167673311 💞 Full Nigh...Russian Call Girls in Andheri Airport Mumbai WhatsApp  9167673311 💞 Full Nigh...
Russian Call Girls in Andheri Airport Mumbai WhatsApp 9167673311 💞 Full Nigh...
 
mini mental status format.docx
mini    mental       status     format.docxmini    mental       status     format.docx
mini mental status format.docx
 
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxPOINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
 
BAG TECHNIQUE Bag technique-a tool making use of public health bag through wh...
BAG TECHNIQUE Bag technique-a tool making use of public health bag through wh...BAG TECHNIQUE Bag technique-a tool making use of public health bag through wh...
BAG TECHNIQUE Bag technique-a tool making use of public health bag through wh...
 

Reporting a paired sample t test

  • 1. Reporting a Paired Sample t-test
  • 2. Reporting a Paired Sample t-test Note – that the reporting format shown in this learning module is for APA. For other formats consult specific format guides.
  • 3. Reporting a Paired Sample t-test Note – that the reporting format shown in this learning module is for APA. For other formats consult specific format guides. It is also recommended to consult the latest APA manual to compare what is described in this learning module with the most updated formats for APA.
  • 4. • Reporting the Study using APA
  • 5. • Reporting the Study using APA • You can report data from your own experiments by using the template below.
  • 6. • Reporting the Study using APA • You can report data from your own experiments by using the template below. • “A paired-samples t-test was conducted to compare (your DV measure) _________ in (IV level / condition 1) ________and (IV level / condition 2)________ conditions.”
  • 7. • Reporting the Study using APA • You can report data from your own experiments by using the template below. • “A paired-samples t-test was conducted to compare (your DV measure) _________ in (IV level / condition 1) ________and (IV level / condition 2)________ conditions.” • “A paired-samples t-test was conducted to compare number of pizza slices eaten in one sitting by football players before the football season and after the football season”.
  • 9. • Reporting Results using APA • You want to tell your reader whether or not there was a significant difference between condition means. You can report data from your own experiments by using the template below.
  • 10. • Reporting Results using APA • You want to tell your reader whether or not there was a significant difference between condition means. You can report data from your own experiments by using the template below. • “There was a significant (not a significant) difference in the scores for IV level 1 (M=___, SD=___) and IV level 2 (M=___, SD=___) conditions; t(__)=___, p = ____”
  • 11. • Just fill in the blanks by using the SPSS output
  • 12. • Just fill in the blanks by using the SPSS output • Let’s start by filling in the Mean and Standard Deviation for each condition
  • 13. • Just fill in the blanks by using the SPSS output • Let’s start by filling in the Mean and Standard Deviation for each condition • “There was a significant (not a significant) difference in the scores for IV level 1 (M=___, SD=___) and IV level 2 (M=___, SD=___) conditions; t(__)=___, p = ____”
  • 14. • Just fill in the blanks by using the SPSS output • Let’s start by filling in the Mean and Standard Deviation for each condition • “There was a significant (not a significant) difference in the scores for IV level 1 (M=___, SD=___) and IV level 2 (M=___, SD=___) conditions; t(__)=___, p = ____” Paired Samples Statistics Mean N Std. Deviation Std. Error Mean Pair 1 Before_Season 5.1739 23 1.40299 .29254 After_Season 6.7391 23 1.62976 .33983
  • 15. • Just fill in the blanks by using the SPSS output • Let’s start by filling in the Mean and Standard Deviation for each condition • “There was a significant (not a significant) difference in the scores for IV level 1 (M=___, SD=___) and IV level 2 (M=___, SD=___) conditions; t(__)=___, p = ____” Paired Samples Statistics Mean N Std. Deviation Std. Error Mean Pair 1 Before_Season 5.1739 23 1.40299 .29254 After_Season 6.7391 23 1.62976 .33983 • “There was a significant (not a significant) difference in the scores for IV level 1 (M=5.17, SD=___) and IV level 2 (M=___, SD=___) conditions; t(__)=___, p = ____”
  • 16. • Just fill in the blanks by using the SPSS output • Let’s start by filling in the Mean and Standard Deviation for each condition • “There was a significant (not a significant) difference in the scores for IV level 1 (M=___, SD=___) and IV level 2 (M=___, SD=___) conditions; t(__)=___, p = ____” Paired Samples Statistics Mean N Std. Deviation Std. Error Mean Pair 1 Before_Season 5.1739 23 1.40299 .29254 After_Season 6.7391 23 1.62976 .33983 • “There was a significant (not a significant) difference in the scores for IV level 1 (M=5.17, SD=___) and IV level 2 (M=___, SD=___) conditions; t(__)=___, p = ____”
  • 17. • Just fill in the blanks by using the SPSS output • Let’s start by filling in the Mean and Standard Deviation for each condition • “There was a significant (not a significant) difference in the scores for IV level 1 (M=___, SD=___) and IV level 2 (M=___, SD=___) conditions; t(__)=___, p = ____” Paired Samples Statistics Mean N Std. Deviation Std. Error Mean Pair 1 Before_Season 5.1739 23 1.40299 .29254 After_Season 6.7391 23 1.62976 .33983 • “There was a significant (not a significant) difference in the scores for IV level 1 (M=5.17, SD=1.40) and IV level 2 (M=___, SD=___) conditions; t(__)=___, p = ____”
  • 18. • Just fill in the blanks by using the SPSS output • Let’s start by filling in the Mean and Standard Deviation for each condition • “There was a significant (not a significant) difference in the scores for IV level 1 (M=___, SD=___) and IV level 2 (M=___, SD=___) conditions; t(__)=___, p = ____” Paired Samples Statistics Mean N Std. Deviation Std. Error Mean Pair 1 Before_Season 5.1739 23 1.40299 .29254 After_Season 6.7391 23 1.62976 .33983 • “There was a significant (not a significant) difference in the scores for IV level 1 (M=5.17, SD=1.40) and IV level 2 (M=___, SD=___) conditions; t(__)=___, p = ____”
  • 19. • Just fill in the blanks by using the SPSS output • Let’s start by filling in the Mean and Standard Deviation for each condition • “There was a significant (not a significant) difference in the scores for IV level 1 (M=___, SD=___) and IV level 2 (M=___, SD=___) conditions; t(__)=___, p = ____” Paired Samples Statistics Mean N Std. Deviation Std. Error Mean Pair 1 Before_Season 5.1739 23 1.40299 .29254 After_Season 6.7391 23 1.62976 .33983 • “There was a significant (not a significant) difference in the scores for IV level 1 (M=5.17, SD=1.40) and IV level 2 (M=6.73 SD=___) conditions; t(__)=___, p = ____”
  • 20. • Just fill in the blanks by using the SPSS output • Let’s start by filling in the Mean and Standard Deviation for each condition • “There was a significant (not a significant) difference in the scores for IV level 1 (M=___, SD=___) and IV level 2 (M=___, SD=___) conditions; t(__)=___, p = ____” Paired Samples Statistics Mean N Std. Deviation Std. Error Mean Pair 1 Before_Season 5.1739 23 1.40299 .29254 After_Season 6.7391 23 1.62976 .33983 • “There was a significant (not a significant) difference in the scores for IV level 1 (M=5.17, SD=1.40) and IV level 2 (M=6.73 SD=___) conditions; t(__)=___, p = ____”
  • 21. • Just fill in the blanks by using the SPSS output • Let’s start by filling in the Mean and Standard Deviation for each condition • “There was a significant (not a significant) difference in the scores for IV level 1 (M=___, SD=___) and IV level 2 (M=___, SD=___) conditions; t(__)=___, p = ____” Paired Samples Statistics Mean N Std. Deviation Std. Error Mean Pair 1 Before_Season 5.1739 23 1.40299 .29254 After_Season 6.7391 23 1.62976 .33983 • “There was a significant (not a significant) difference in the scores for IV level 1 (M=5.17, SD=1.40) and IV level 2 (M=6.73 SD=1.63) conditions; t(__)=___, p = ____”
  • 22. • Just fill in the blanks by using the SPSS output • Let’s start by filling in the Mean and Standard Deviation for each condition • “There was a significant (not a significant) difference in the scores for IV level 1 (M=___, SD=___) and IV level 2 (M=___, SD=___) conditions; t(__)=___, p = ____” Paired Samples Statistics Mean N Std. Deviation Std. Error Mean Pair 1 Before_Season 5.1739 23 1.40299 .29254 After_Season 6.7391 23 1.62976 .33983 • “There was a significant (not a significant) difference in the scores for IV level 1 (M=5.17, SD=1.40) and IV level 2 (M=6.73 SD=1.63) conditions; t(__)=___, p = ____”
  • 23. • Just fill in the blanks by using the SPSS output • Let’s start by filling in the Mean and Standard Deviation for each condition • “There was a significant (not a significant) difference in the scores for IV level 1 (M=___, SD=___) and IV level 2 (M=___, SD=___) conditions; t(__)=___, p = ____” Paired Samples Test Paired Differences Std. Deviation Std. Error Mean 95% Confidence Interval of the Difference Mean Lower Upper t df Sig. (2-tailed) Pair 1 Before_Season - After_Season -1.56522 1.61881 .33755 -2.26524 -.86519 -4.637 22 .000
  • 24. • Just fill in the blanks by using the SPSS output • Let’s start by filling in the Mean and Standard Deviation for each condition • “There was a significant (not a significant) difference in the scores for IV level 1 (M=___, SD=___) and IV level 2 (M=___, SD=___) conditions; t(__)=___, p = ____” Paired Samples Test Paired Differences Std. Deviation Std. Error Mean 95% Confidence Interval of the Difference Mean Lower Upper t df Sig. (2-tailed) Pair 1 Before_Season - After_Season -1.56522 1.61881 .33755 -2.26524 -.86519 -4.637 22 .000 • “There was a significant (not a significant) difference in the scores for IV level 1 (M=5.17, SD=1.40) and IV level 2 (M=6.73 SD=1.63) conditions; t(22)=___, p = ____”
  • 25. • Just fill in the blanks by using the SPSS output • Let’s start by filling in the Mean and Standard Deviation for each condition • “There was a significant (not a significant) difference in the scores for IV level 1 (M=___, SD=___) and IV level 2 (M=___, SD=___) conditions; t(__)=___, p = ____” Paired Samples Test Paired Differences Std. Deviation Std. Error Mean 95% Confidence Interval of the Difference Mean Lower Upper t df Sig. (2-tailed) Pair 1 Before_Season - After_Season -1.56522 1.61881 .33755 -2.26524 -.86519 -4.637 22 .000 • “There was a significant (not a significant) difference in the scores for IV level 1 (M=5.17, SD=1.40) and IV level 2 (M=6.73 SD=1.63) conditions; t(22)=___, p = ____”
  • 26. • Just fill in the blanks by using the SPSS output • Let’s start by filling in the Mean and Standard Deviation for each condition • “There was a significant (not a significant) difference in the scores for IV level 1 (M=___, SD=___) and IV level 2 (M=___, SD=___) conditions; t(__)=___, p = ____” Paired Samples Test Paired Differences Std. Deviation Std. Error Mean 95% Confidence Interval of the Difference Mean Lower Upper t df Sig. (2-tailed) Pair 1 Before_Season - After_Season -1.56522 1.61881 .33755 -2.26524 -.86519 -4.637 22 .000 • “There was a significant (not a significant) difference in the scores for IV level 1 (M=5.17, SD=1.40) and IV level 2 (M=6.73 SD=1.63) conditions; t(22)=___, p = ____” Degrees of Freedom
  • 27. • Just fill in the blanks by using the SPSS output • Let’s start by filling in the Mean and Standard Deviation for each condition • “There was a significant (not a significant) difference in the scores for IV level 1 (M=___, SD=___) and IV level 2 (M=___, SD=___) conditions; t(__)=___, p = ____” Paired Samples Test Paired Differences Std. Deviation Std. Error Mean 95% Confidence Interval of the Difference Mean Lower Upper t df Sig. (2-tailed) Pair 1 Before_Season - After_Season -1.56522 1.61881 .33755 -2.26524 -.86519 -4.637 22 .000 • “There was a significant (not a significant) difference in the scores for IV level 1 (M=5.17, SD=1.40) and IV level 2 (M=6.73 SD=1.63) conditions; t(22)= -4.64, p = ____”
  • 28. • Just fill in the blanks by using the SPSS output • Let’s start by filling in the Mean and Standard Deviation for each condition • “There was a significant (not a significant) difference in the scores for IV level 1 (M=___, SD=___) and IV level 2 (M=___, SD=___) conditions; t(__)=___, p = ____” Paired Samples Test Paired Differences Std. Deviation Std. Error Mean 95% Confidence Interval of the Difference Mean Lower Upper t df Sig. (2-tailed) Pair 1 Before_Season - After_Season -1.56522 1.61881 .33755 -2.26524 -.86519 -4.637 22 .000 • “There was a significant (not a significant) difference in the scores for IV level 1 (M=5.17, SD=1.40) and IV level 2 (M=6.73 SD=1.63) conditions; t(22)= -4.64, p = ____”
  • 29. • Just fill in the blanks by using the SPSS output • Let’s start by filling in the Mean and Standard Deviation for each condition • “There was a significant (not a significant) difference in the scores for IV level 1 (M=___, SD=___) and IV level 2 (M=___, SD=___) conditions; t(__)=___, p = ____” Paired Samples Test Paired Differences Std. Deviation Std. Error Mean 95% Confidence Interval of the Difference Mean Lower Upper t df Sig. (2-tailed) Pair 1 Before_Season - After_Season -1.56522 1.61881 .33755 -2.26524 -.86519 -4.637 22 .000 • “There was a significant (not a significant) difference in the scores for IV level 1 (M=5.17, SD=1.40) and IV level 2 (M=6.73 SD=1.63) conditions; t(22)= -4.64, p = .000”
  • 30. • Just fill in the blanks by using the SPSS output • Let’s start by filling in the Mean and Standard Deviation for each condition • “There was a significant (not a significant) difference in the scores for IV level 1 (M=___, SD=___) and IV level 2 (M=___, SD=___) conditions; t(__)=___, p = ____” Paired Samples Test Paired Differences Std. Deviation Std. Error Mean 95% Confidence Interval of the Difference Mean Lower Upper t df Sig. (2-tailed) Pair 1 Before_Season - After_Season -1.56522 1.61881 .33755 -2.26524 -.86519 -4.637 22 .000 • “There was a significant (not a significant) difference in the scores for IV level 1 (M=5.17, SD=1.40) and IV level 2 (M=6.73 SD=1.63) conditions; t(22)= -4.64, p = .000”
  • 31. Here the final result:
  • 32. “There was a significant increase in the number of pizza slices eaten by football players after the season (M=5.17, SD=1.40) than before the season (M=6.73 SD=1.63); t(22)= 4.64, p = .000”