Which of the following is not a way to deal with a type 2 error?Select one:a.Use a higher significance value (e.g. .1 rather than .05)b.Increase the sample sizec.Take the effect size into consideration.d.Control for extraneous variables
Question
Which of the following is not a way to deal with a type 2 error?Select one:a.Use a higher significance value (e.g. .1 rather than .05)b.Increase the sample sizec.Take the effect size into consideration.d.Control for extraneous variables
Solution
The option that is not a way to deal with a type 2 error is:
a. Use a higher significance value (e.g. .1 rather than .05)
Explanation:
A type II error occurs when the null hypothesis is false, but erroneously fails to be rejected. It is failing to assert what is present, a miss.
a. Using a higher significance value (e.g. .1 rather than .05) - This would actually increase the chance of making a Type I error (rejecting the null hypothesis when it is true) rather than reducing the chance of making a Type II error.
b. Increase the sample size - Increasing the sample size can help reduce the chance of making a Type II error because it increases the power of the test (the probability of correctly rejecting the null hypothesis when it is false).
c. Take the effect size into consideration - The effect size is a measure of the strength of the relationship between two variables. A larger effect size means a stronger relationship, which makes it easier to correctly reject the null hypothesis when it is false, thus reducing the chance of making a Type II error.
d. Control for extr
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