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
Question
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
Solution
The correct answer is d. Control for extraneous variables.
Here's why:
a. Increasing the sample size can help reduce the chance of a Type II error. A larger sample size can provide more data and thus more statistical power to detect a true effect if one exists.
b. Taking the effect size into consideration can also help reduce the chance of a Type II error. If the effect size is larger, it's easier to detect a true effect, reducing the chance of a Type II error.
c. Using a higher significance value (e.g., .1 rather than .05) can also reduce the chance of a Type II error. A higher significance level means you're more willing to accept a false positive (Type I error) in order to avoid a false negative (Type II error).
d. Controlling for extraneous variables does not directly affect the chance of a Type II error. This strategy is more about improving the validity of the study by ensuring that any observed effects are due to the independent variable, not some other factor. While it's an important part of good research design, it doesn't directly help avoid Type II errors.
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