Independent Samples t-test Analyze data in SPSS using an independent samples t-test • Imagine that we in the difference in history test scores between males and females. 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 a = .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 T-TEST GROUPS-gender(1 2)/MISSING ANALYSISVARIABLES test_score/CRITERIA CI(-95).T-TestNotesOutput Created11-APR-2019 20:01:49CommentsInputActive DatasetDataSetiFilterWeightSplit FileNof Rows in Working DataFile11Missing Value Handling Definition of MissingUser defined missingvalues are treated asmissing.Statistics for each analysisare based on the casesCases Usedwith no missing or out-of-range data for any variablein the analysis.T-TEST GROUPS=gender(1 2)MISSING=ANALYSISNARIABLES=test_scoreICRITERIA=CI(.95).SyntaxResourcesProcessor Time00:00:00.00Elapsed Time00:00:00.01Group StatisticsgenderNMeanStd. Deviation Sid. Error Meantest scoremale577.20007.085203.16860females681.00005.830952.38048 Independent Samples TestLevene's Test for Equality ofVariancest-test for Equality ofMeansFSig.test_scoreEqual variances assumed.001.972-.978Equal variances notassumed-.9597.801Independent Samples Testt-test for Equality of Means95%Std. ErrorConfidence.MeanSig. (2-tailed)DifferenceDifferenceLowertest scoreEqual variances assumed354-3.800003.89673-12.59239Equal variances notassumed366-3.800003.96316-12.97974Independent Samples Testt-test for Equalityof Means95% ConfidenceInterval of the .Uppertest scoreEqual variances assumed4.99239Equal variances notassumed5.37974

Name: Independent Samples t-test Analyze data in SPSS using an independent s
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Description: Independent Samples t-test Analyze data in SPSS using an independent samples t-test • Imagine that we in the difference in history test scores between males and females. How might we test this question? (basic research design) Do the 4 steps of hypot

The null and alternate hypothesis are H0 : μM=μFHA : μM≠μF The mean, standard deviation and number…

Answered: т-Тest Notes Output Created 11-APR-2019…

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Independent Samples t-test

Analyze data in SPSS using an independent samples t-test •

Imagine that we in the difference in history test scores between males and females. 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 a = .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

T-TEST GROUPS-gender(1 2)
/MISSING ANALYSIS
VARIABLES test_score
/CRITERIA CI(-95).
T-Test
Notes
Output Created
11-APR-2019 20:01:49
Comments
Input
Active Dataset
DataSeti
Filter
<none>
Weight
<none>
Split File
<none>
Nof Rows in Working Data
File
11
Missing Value Handling Definition of Missing
User defined missing
values are treated as
missing.
Statistics for each analysis
are based on the cases
Cases Used
with no missing or out-of-
range data for any variable
in the analysis.
T-TEST GROUPS=gender
(1 2)
MISSING=ANALYSIS
NARIABLES=test_score
ICRITERIA=CI(.95).
Syntax
Resources
Processor Time
00:00:00.00
Elapsed Time
00:00:00.01
Group Statistics
gender
N
Mean
Std. Deviation Sid. Error Mean
test score
male
5
77.2000
7.08520
3.16860
females
6
81.0000
5.83095
2.38048

Independent Samples Test
Levene's Test for Equality of
Variances
t-test for Equality of
Means
F
Sig.
test_score
Equal variances assumed
.001
.972
-.978
Equal variances not
assumed
-.959
7.801
Independent Samples Test
t-test for Equality of Means
95%
Std. Error
Confidence.
Mean
Sig. (2-tailed)
Difference
Difference
Lower
test score
Equal variances assumed
354
-3.80000
3.89673
-12.59239
Equal variances not
assumed
366
-3.80000
3.96316
-12.97974
Independent Samples Test
t-test for Equality
of Means
95% Confidence
Interval of the .
Upper
test score
Equal variances assumed
4.99239
Equal variances not
assumed
5.37974

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