Reporting a single sample t- test revised

Reporting a Single Sample t-test
Amit Sharma
Associate Professor
Dept. of Pharmacy Practice
ISF COLLEGE OF PHARMACY
Ghal Kalan, Ferozpur GT Road, MOGA, 142001, Punjab
Mobile: 09646755140, 09418783145
Phone: No. 01636-650150, 650151
Website: - www.isfcp.org

Note – the reporting format shown in this learning
module is for APA. For other formats consult specific
format guides.

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.

You can report data from your own experience by using
the template below.

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).”

the template below.
Here is an example:

the template below.
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.”

Here is how the results for a single-sample t-test are
reported in APA.

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.

reported in APA.
Here is a template:

reported in APA.
Here is a template:
[Describe the single sample] [Report the results] (M =
[ ], SD = [ ]) than [Insert population], t( ) = [ ], p = [ ].

reported in APA.
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.

Let’s start by filling in the Mean and Standard Deviation
for each condition.

for each condition.
Persons who eat broccoli regularly received statistically
significantly higher IQ scores (M = [ ], SD = [ ]) than
the general population, t( ) = [ ], p = [ ].

for each condition.
significantly higher IQ scores (M = [120], SD = [ ]) than
the general population, t( ) = [ ], p = [ ].

for each condition.
significantly higher IQ scores (M = [120], SD = [12.2])
than the general population, t( ) = [ ], p = [ ].

for each condition.
than the general population, t( ) = [ ], p = [ ].
Degrees of
freedom (N-1)

for each condition.
than the general population, t(22) = [ ], p = [ ].
Degrees of
freedom (N-1)

for each condition.
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

for each condition.
than the general population, t(22) = [7.86], p = [ ].
One-Sample Test
Test Value = 100
Difference
Lower Upper
Broccoli_Sample 7.859 22 .000 19.95652 14.6901 25.2229

for each condition.
than the general population, t(22) = [7.86], p = [0.000].
One-Sample Test
Test Value = 100
Difference
Lower Upper
Broccoli_Sample 7.859 22 .000 19.95652 14.6901 25.2229

Reporting a single sample t- test revised

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