You conduct a t test for independent means and reject the null hypothesis. This means that:
A) the samples were from populations that were actually dependent rather than independent
B) the variance of one sample is so much larger than the variance of the other sample that you decide that the variances of the parent populations must not have been the same
C) the mean of one sample is so far from the mean of the other sample that you decide the samples must come from populations with different means
D) the mean of one sample is statistically the same as the mean of the other sample, so they probably come from populations with equal means
Correct Answer:
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Q1: Consider a study in which the population
Q2: In the formula [t = M1-M2 /SDifference],
Q3: All of the following are true for
Q4: Based on the following results, which would
Q6: In a t test for independent means,
Q7: Consider a study in which the population
Q8: The variance of a distribution of differences
Q9: The comparison distribution for a t test
Q10: When using a t table, the degrees
Q11: In the formula"
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