Question

In: Statistics and Probability

If someone keeps everything else in their data the same but decides to use an alpha...

If someone keeps everything else in their data the same but decides to use an alpha of .10 instead of .05 explain exactly if/how each the following would change (i.e., increase/decrease/stay the same) and briefly explain why for each [10 line maximum]

: • critical rejection region

• chance of making a Type I error

• change of make a Type II error

• the width of a confidence interval

• the effect size

Solutions

Expert Solution

(1)

Correct option:

increase

Explanation:

By increasing Significance Level = from 0.05 to 0.10, the critical rejection region will increase

(2)

Correct option:

increase

Explanation:

By increasing Significance Level = from 0.05 to 0.10, the chance of making a Type I error will increase

(3)

Correct option:

decrease

Explanation:

By increasing Significance Level = from 0.05 to 0.10, the chance of making a Type II error will decrease

(4)

Correct option:

decrease

Explanation:

By increasing Significance Level = from 0.05 to 0.10, the width of a confidence interval will decrease

(5)

Correct option:

stay the same

Explanation:

By increasing Significance Level = from 0.05 to 0.10, the effect size will not change.


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