This document provides guidance on reporting the results of a single sample t-test in APA format. It includes templates for describing the test and population in the introduction and reporting the mean, standard deviation, t-value and significance in the results. An example is given of a hypothetical single sample t-test comparing IQ scores of people who eat broccoli regularly to the general population.

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