suppose the results indicate that the null hy...
suppose the results indicate that the null hypothesis should be rejected; thus, it is possible that a type i error has been committed. given the type of error made in this situation, what could researchers do to reduce the risk of this error? choose a.01 significance level, instead of a.05 significance level. increase the sample size.
Answer
# Brief Explanations:
A type - I error is rejecting a true null hypothesis. The significance level ($\alpha$) is the probability of making a type - I error. Reducing the significance level reduces the probability of rejecting the null hypothesis, thus reducing the risk of type - I error. Increasing the sample size reduces the risk of type - II error, not type - I error.
# Answer:
Choose a.01 significance level, instead of a.05 significance level.