A researcher is planning to replicate a study that previously failed to reject the null hypothesis. What might she do to increase her chance of finding a true difference between the comparison groups?1 pointIncrease the sample size.Decrease the effect size.Decrease the sample size.Decrease the α from .05 to .01.

A researcher looks at the mean salaries of male and female electricians and decides based on the evidence that there is no difference between the two groups. Given that there was a failure to reject the null hypothesis, it is possible that a type II error was made.Given the type of error made in this situation, what could researchers do to reduce the risk of this error?Increase the sample size.Choose a .01 significance level, instead of a .05 significance level.

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? Increase the sample size. Choose a 0.01 significance level instead of a 0.05 significance level.

Suppose that at the end of the five-year study described above, a greater proportion of the hormone-treated group have breast cancer and heart disease. This observed difference is statistically significant. Researchers are so alarmed by the results that the experiment is ended early to prevent further harm to the health of the women participating in the hormone group. Since the null hypothesis was rejected, it is possible researchers made a type I error.Given the type of error made in this situation, what could researchers do to reduce the risk of this error?

A study produced the following result:RR 0.4 (95% CI 0.2 to 0.6).What information can you gather from this result?Question 7Answera.The intervention achieves a better outcome than the comparison, although there is not a statistically significant difference between the groupsb.The intervention achieves a better outcome than the comparison, with the difference statistically significantc.The intervention achieves a better outcome than the comparison, it is not a statistically significant difference, and the sample size is larged.The intervention achieves a better outcome than the comparison

Question 11Null hypothesis significance testing relies on the reasoning that if the sample statistic is unlikely given a true null hypothesis, then you should1 pointincrease the sample size.reject the null hypothesis.fail to reject the null hypothesis.change the alpha level.