Analyze data in SPSS using a dependent samples t-test • Imagine that we are interested in the difference in heart rate pre and post doing 30 seconds of jumping jacks. How might we test this question? (basic research design) Do the 4 steps of hypothesis testing (use the SPSS output sent): Step 1: • Write null hypothesis • Write research hypothesis Step 2:• Use a two-tailed test with alpha set to  = .05** • what is the critical region? Step 3: • what is the p-value? • what is the t-statistic? Step 4: • determine whether results are statistically significant • what do you conclude in general?

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Analyze data in SPSS using a dependent samples t-test

• Imagine that we are interested in the difference in heart rate pre and post doing 30 seconds of jumping jacks. How might we test this question? (basic research design)

Do the 4 steps of hypothesis testing (use the SPSS output sent):

Step 1:

• Write null hypothesis

• Write research hypothesis

Step 2:• Use a two-tailed test with alpha set to  = .05**

• what is the critical region?

Step 3:

• what is the p-value?

• what is the t-statistic?

Step 4:

• determine whether results are statistically significant

• what do you conclude in general?

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Paired Samples Test
Paired Differences
95% Confidence Interval of the
Difference
Mean
Std. Deviation St. Error Mean
Lower
Upper
Pair 1
pre - post
-23.50000
13.61780
2.57352
-28.78043
-18.21957
Paired Samples Test
t
df
Sig. (2-tailed)
Pair 1
pre - post
-9.131
27
.000
Transcribed Image Text:Page < of 2 ZOOM + Paired Samples Test Paired Differences 95% Confidence Interval of the Difference Mean Std. Deviation St. Error Mean Lower Upper Pair 1 pre - post -23.50000 13.61780 2.57352 -28.78043 -18.21957 Paired Samples Test t df Sig. (2-tailed) Pair 1 pre - post -9.131 27 .000
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> of 2
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T-TEST PAIRS=pre WITH post (PAIRED)
/CRITERIACI(. 9500)
/MISSING-ANAL YSIS.
T-Test
Notes
Output Created
13-NOV-2019 18:57:07
Comments
Input
Active Dataset
DataSeto
Filter
<none>
Weight
<none>
Split File
<none>
N of Rows in Working Data
28
File
Missing Value Handling Definiton of Missing
User defned missing
values are treated as
missing.
Cases Used
Satistics for each analysis
are based on the cases
with no missing or out-of-
range data for any variable
in the analysis.
T-TEST PAIRS-pre WITH
post (PAIRE D)
ICRITERIA-CI(.9500)
IMISSING=ANALYSIS.
Syntax
Processor Time
Elapsed Time
Resources
00:00:00.02
00:00:00.01
Paired Samples Statistics
Mean
Std. Deviation Std. Error Mean
Pair 1
pre
61.9286
28
9.21725
1.74190
post
85.4286
28
14.48992
2.73834
Paired Samples Correlations
Correlation
Sig.
Pair 1
pre & post
28
.410
.030
Transcribed Image Text:Page < > of 2 ZOOM + T-TEST PAIRS=pre WITH post (PAIRED) /CRITERIACI(. 9500) /MISSING-ANAL YSIS. T-Test Notes Output Created 13-NOV-2019 18:57:07 Comments Input Active Dataset DataSeto Filter <none> Weight <none> Split File <none> N of Rows in Working Data 28 File Missing Value Handling Definiton of Missing User defned missing values are treated as missing. Cases Used Satistics for each analysis are based on the cases with no missing or out-of- range data for any variable in the analysis. T-TEST PAIRS-pre WITH post (PAIRE D) ICRITERIA-CI(.9500) IMISSING=ANALYSIS. Syntax Processor Time Elapsed Time Resources 00:00:00.02 00:00:00.01 Paired Samples Statistics Mean Std. Deviation Std. Error Mean Pair 1 pre 61.9286 28 9.21725 1.74190 post 85.4286 28 14.48992 2.73834 Paired Samples Correlations Correlation Sig. Pair 1 pre & post 28 .410 .030
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