For the independent-measures t statistic, what is the effect of increasing the sample variances? A) decrease the probability of rejecting the H_0 and increase measures of effect size. B) increase the probability of rejecting the H_0 and decrease measures of effect size. C) decrease the probability of rejecting the H_0 and decrease measures of effect size. D) increase the probability of rejecting the H_0 and increase measures of effect size

granuliet1u

granuliet1u

Answered question

2022-08-09

For the independent-measures t statistic, what is the effect of increasing the sample variances?
A) decrease the probability of rejecting the H 0 and increase measures of effect size.
B) increase the probability of rejecting the H 0 and decrease measures of effect size.
C) decrease the probability of rejecting the H 0 and decrease measures of effect size.
D) increase the probability of rejecting the H 0 and increase measures of effect size.

Answer & Explanation

Ezequiel Davidson

Ezequiel Davidson

Beginner2022-08-10Added 11 answers

Increasing the sample variance leads to an increase in the sample error value.
Because the sample error value increases, the t-statistic value decreases, resulting in a decrease in the probability of rejecting the
Also, since the sample variance increased, the measure of effect size will decrease as well.
Therefore, the correct answer is C (decrease the probability of rejecting the H 0 and decrease measures of effect size).

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