A researcher selects a sample from a population with = 30 and uses the sample to evaluate the effect of a treatment. After treatment, the sample has a mean of M = 32 and a variance of s2 = 6 . Which of the following would definitely increase the likelihood of rejecting the null hypothesis?
a. Increase the sample size
b. Increase the sample mean
c. Decrease the sample variance
d. All of the other options will increase the likelihood of rejecting the null hypothesis.
Question 2If other factors are held constant, which set of sample characteristics is most likely to reject a null hypothesis stating that = 80?
a. M = 85 and small sample variance c. M = 90 and small sample variance
b. M = 85 and large sample variance d. M = 90 and large sample variance
Question 3If other factors are held constant, what is the effect of increasing the sample variance?
a. It will increase the estimated standard error and increase the likelihood of rejecting H0.
b. It will increase the estimated standard error and decrease the likelihood of rejecting H0.
c. It will decrease the estimated standard error and increase the likelihood of rejecting H0.
d. It will decrease the estimated standard error and decrease the likelihood of rejecting H0.
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