Asked by Kaden Evans on Jul 11, 2024
Verified
Holding all else constant, increasing sample size ______ the probability of making a type I error and ______ the probability of making a type II error.
A) increases; decreases
B) decreases; increases
C) does not affect; decreases
D) decreases; does not affect
Sample Size
The number of subjects included in a study, influencing the study's ability to reliably detect effects or differences.
Type I Error
The incorrect rejection of a true null hypothesis, often referred to as a "false positive."
Type II Error
A statistical mistake that occurs when a test fails to reject a false null hypothesis.
- Understand the consequences of manipulating sample size on the likelihood of errors.
Verified Answer
FL
Francisco LópezJul 12, 2024
Final Answer :
C
Explanation :
Increasing sample size does not affect the probability of making a Type I error, which is determined by the significance level (alpha), but it decreases the probability of making a Type II error, making it easier to detect a true effect if there is one.
Learning Objectives
- Understand the consequences of manipulating sample size on the likelihood of errors.
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