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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