Degree of freedom n の t distribution
2016-08-23
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T-distributions Java implementation
T testing process is different from the average (mean) to test the significance of the differences. T test to know the variances of the two populations (Variances) are equal; t check value calculation will vary depending on whether variances are equal. That is, t test depends on the homogeneity of variance (Equality of Variances) results. So, while SPSS t-test for Equality of Means, has to be done Levene\'s Test for Equality of Variances.
T testing process is different from the average (mean) to test the significance of the differences. T test to know the variances of the two populations (Variances) are equal; t check value calculation will vary depending on whether variances are equal. That is, t test depends on the homogeneity of variance (Equality of Variances) results. So, while SPSS t-test for Equality of Means, has to be done Levene\'s Test for Equality of Variances.
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