A researcher wants to avoid making a type II error. Which of the following actions would be the most effective in reducing the risk of a type II error? Increase the sample size. Choose an alpha level of 0.01. Choose an alpha level of 0.05.
Question
A researcher wants to avoid making a type II error. Which of the following actions would be the most effective in reducing the risk of a type II error? Increase the sample size. Choose an alpha level of 0.01. Choose an alpha level of 0.05.
Solution
To reduce the risk of a Type II error, the most effective action would be to increase the sample size.
Here's why:
-
A Type II error occurs when the researcher fails to reject a null hypothesis that is false. In other words, they miss the effect that is actually there.
-
Increasing the sample size can help reduce the risk of a Type II error. This is because a larger sample size can provide more data and thus more statistical power to detect an effect if one exists.
-
Choosing an alpha level of 0.01 or 0.05 is related to the risk of a Type I error, not a Type II error. A Type I error occurs when the researcher rejects a null hypothesis that is true (i.e., they see an effect that isn't actually there). The alpha level is the threshold for how much risk of a Type I error you're willing to accept. Lowering the alpha level (e.g., from 0.05 to 0.01) makes the test more stringent and reduces the risk of a Type I error, but it doesn't affect the risk of a Type II error.
Similar Questions
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.
Which of the following is not a way to deal with a type 2 error?Select one:a.Increase the sample sizeb.Take the effect size into consideration.c.Use a higher significance value (e.g. .1 rather than .05)d.Control for extraneous variables
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 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?
Which of the following accurately describes the effect of increasing the sample size?Group of answer choicesIncreases the standard error and has no effect on the risk of a Type I errorIncreases the risk of a Type I error and has no effect on the standard errorDecreases the risk of a Type I error and has no effect on the standard errorDecreases the standard error and has no effect on the risk of a Type I erro
Upgrade your grade with Knowee
Get personalized homework help. Review tough concepts in more detail, or go deeper into your topic by exploring other relevant questions.