Question

question 4
suppose the results indicate that the null hypothesis should not be rejected; thus, it is possible that a type ii error has been committed.
given the type of error made in this situation, what could researchers do to reduce the risk of this error?
a. o increase the sample size.
b. o choose a 0.01 significance level instead of a 0.05 significance level.

Explanation:

A type - II error is the failure to reject a false null hypothesis. Increasing the sample size reduces the probability of a type - II error because a larger sample provides more information about the population, making it easier to detect a true effect if it exists. Decreasing the significance level (from 0.05 to 0.01) actually increases the risk of a type - II error as it makes it harder to reject the null hypothesis.

Answer:

A. Increase the sample size.