Slideshare uses cookies to improve functionality and performance, and to provide you with relevant advertising. If you continue browsing the site, you agree to the use of cookies on this website. See our User Agreement and Privacy Policy.

Slideshare uses cookies to improve functionality and performance, and to provide you with relevant advertising. If you continue browsing the site, you agree to the use of cookies on this website. See our Privacy Policy and User Agreement for details.

Successfully reported this slideshow.

Like this presentation? Why not share!

- What is a Point Biserial Correlation? by Ken Plummer 25473 views
- Reporting a paired sample t test by Ken Plummer 78728 views
- Reporting point biserial correlatio... by Ken Plummer 24539 views
- Reporting pearson correlation in apa by Ken Plummer 144771 views
- Anesthesia powerpoint by JoanBelleman 279 views
- The T-Test, by Geoff Browne by Stephen Taylor 113600 views

44,475 views

Published on

Reporting a single sample t-test

Published in:
Education

No Downloads

Total views

44,475

On SlideShare

0

From Embeds

0

Number of Embeds

35

Shares

0

Downloads

276

Comments

18

Likes

10

No notes for slide

- 1. Reporting a Single Sample t-test Learning Module
- 2. Note – the reporting format shown in this learning module is for APA. For other formats consult specific format guides.
- 3. Note – 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. You can report data from your own experience by using the template below.
- 6. You can report data from your own experience by using the template below. “A single sample t-test was conducted to to determine if a statistically significant difference existed between (insert the DV measure) from a (Insert a description of the Sample) ________and (Insert the Population).”
- 7. You can report data from your own experience by using the template below. “A single sample t-test was conducted to to determine if a statistically significant difference existed between (insert the DV measure) from a (Insert a description of the Sample) ________and (Insert the Population).” Here is an example:
- 8. You can report data from your own experience by using the template below. “A single sample t-test was conducted to to determine if a statistically significant difference existed between (insert the DV measure) from a (Insert a description of the Sample) ________and (Insert the Population).” Here is an example: “A single sample t-test was conducted to determine if a statistically significant difference existed between IQ scores from a sample used in the study and the general population.”
- 9. Reporting Results using APA
- 10. Here is how the results for a single-sample t-test are reported in APA.
- 11. Here is how the results for a single-sample t-test are reported in APA. Students taking statistics courses in psychology at the University of Washington reported studying similar hours for tests (M = 121, SD = 14.2) compared to UW college students in general, t(33) = 2.10, p = .034.
- 12. Here is how the results for a single-sample t-test are reported in APA. Students taking statistics courses in psychology at the University of Washington reported studying similar hours for tests (M = 121, SD = 14.2) compared to UW college students in general, t(33) = 2.10, p = .034. Here is a template:
- 13. Here is how the results for a single-sample t-test are reported in APA. Students taking statistics courses in psychology at the University of Washington reported studying similar hours for tests (M = 121, SD = 14.2) compared to UW college students in general, t(33) = 2.10, p = .034. Here is a template: [Describe the single sample] [Report the results] (M = [ ], SD = [ ]) than [Insert population], t( ) = [ ], p = [ ].
- 14. Here is how the results for a single-sample t-test are reported in APA. Students taking statistics courses in psychology at the University of Washington reported studying similar hours for tests (M = 121, SD = 14.2) compared to UW college students in general, t(33) = 2.10, p = .034. Here is a template: [Describe the single sample] [Report the results] (M = [ ], SD = [ ]) than [Insert population], t( ) = [ ], p = [ ]. Just fill in the blanks by using the SPSS output.
- 15. Let’s start by filling in the Mean and Standard Deviation for each condition.
- 16. Let’s start by filling in the Mean and Standard Deviation for each condition. Persons who eat broccoli regularly received statistically significantly higher IQ scores (M = [ ], SD = [ ]) than the general population, t( ) = [ ], p = [ ].
- 17. Let’s start by filling in the Mean and Standard Deviation for each condition. Persons who eat broccoli regularly received statistically significantly higher IQ scores (M = [ ], SD = [ ]) than the general population, t( ) = [ ], p = [ ].
- 18. Let’s start by filling in the Mean and Standard Deviation for each condition. Persons who eat broccoli regularly received statistically significantly higher IQ scores (M = [120], SD = [ ]) than the general population, t( ) = [ ], p = [ ].
- 19. Let’s start by filling in the Mean and Standard Deviation for each condition. Persons who eat broccoli regularly received statistically significantly higher IQ scores (M = [120], SD = [ ]) than the general population, t( ) = [ ], p = [ ].
- 20. Let’s start by filling in the Mean and Standard Deviation for each condition. Persons who eat broccoli regularly received statistically significantly higher IQ scores (M = [120], SD = [ ]) than the general population, t( ) = [ ], p = [ ].
- 21. Let’s start by filling in the Mean and Standard Deviation for each condition. Persons who eat broccoli regularly received statistically significantly higher IQ scores (M = [120], SD = [12.2]) than the general population, t( ) = [ ], p = [ ].
- 22. Let’s start by filling in the Mean and Standard Deviation for each condition. Persons who eat broccoli regularly received statistically significantly higher IQ scores (M = [120], SD = [12.2]) than the general population, t( ) = [ ], p = [ ]. Degrees of freedom (N-1)
- 23. Let’s start by filling in the Mean and Standard Deviation for each condition. Persons who eat broccoli regularly received statistically significantly higher IQ scores (M = [120], SD = [12.2]) than the general population, t(22) = [ ], p = [ ]. Degrees of freedom (N-1)
- 24. Let’s start by filling in the Mean and Standard Deviation for each condition. Persons who eat broccoli regularly received statistically significantly higher IQ scores (M = [120], SD = [12.2]) than the general population, t(22) = [ ], p = [ ]. One-Sample Test Test Value = 100 t df Sig. (2-tailed) Mean Difference 95% Confidence Interval of the Difference Lower Upper Broccoli_Sample 7.859 22 .000 19.95652 14.6901 25.2229
- 25. Let’s start by filling in the Mean and Standard Deviation for each condition. Persons who eat broccoli regularly received statistically significantly higher IQ scores (M = [120], SD = [12.2]) than the general population, t(22) = [7.86], p = [ ]. One-Sample Test Test Value = 100 t df Sig. (2-tailed) Mean Difference 95% Confidence Interval of the Difference Lower Upper Broccoli_Sample 7.859 22 .000 19.95652 14.6901 25.2229
- 26. Let’s start by filling in the Mean and Standard Deviation for each condition. Persons who eat broccoli regularly received statistically significantly higher IQ scores (M = [120], SD = [12.2]) than the general population, t(22) = [7.86], p = [ ]. One-Sample Test Test Value = 100 t df Sig. (2-tailed) Mean Difference 95% Confidence Interval of the Difference Lower Upper Broccoli_Sample 7.859 22 .000 19.95652 14.6901 25.2229
- 27. Let’s start by filling in the Mean and Standard Deviation for each condition. Persons who eat broccoli regularly received statistically significantly higher IQ scores (M = [120], SD = [12.2]) than the general population, t(22) = [7.86], p = [0.000]. One-Sample Test Test Value = 100 t df Sig. (2-tailed) Mean Difference 95% Confidence Interval of the Difference Lower Upper Broccoli_Sample 7.859 22 .000 19.95652 14.6901 25.2229

No public clipboards found for this slide

Login to see the comments