A researcher is trying to decide if the homogeneity of variance assumption is met before conducting an independent samples t test.
Sample 1: df = 4, s2 = 46.8
Sample 2: df = 16, s2 = 13
The researcher performs an F test in order to decide which version of the t test (pooled or unpooled) to use and whether to correct degrees of freedom for the t test. Perform the test and pick which alternative the researcher should use. Assume alpha equals 0.05.
Group of answer choices
Use pooled variance and calculate degrees of freedom for the t test normally.
Use pooled or unpooled variance, because both versions of the t test will produce exactly the same t ratio.
Use unpooled variance to calculate the t test and use corrected df to get a more stringent t critical.
using excel add-in phstat>two sample test
we have
F Test for Differences in Two Variances | |
Data | |
Level of Significance | 0.05 |
Larger-Variance Sample | |
Sample Size | 5 |
Sample vaiance | 46.8 |
Smaller-Variance Sample | |
Sample Size | 17 |
sample varince | 13 |
Intermediate Calculations | |
F Test Statistic | 46.8/13 =3.6 |
Population 1 Sample Degrees of Freedom | 4 |
Population 2 Sample Degrees of Freedom | 16 |
Two-Tail Test | |
Upper Critical Value | 3.729417 |
p-Value | 0.056401 |
Do not reject the null hypothesis |
since p-value is greater than 0.05 so do not reject Ho . So
Use pooled variance and calculate degrees of freedom for the t test normally.
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