Asked by ballsax hudini on Jul 27, 2024
Verified
Which of these strategies is MOST commonly used to decrease type II error?
A) using a non-directional (two-tailed) alternative hypothesis (H1)
B) using a directional (one-tailed) null hypothesis (H0)
C) increasing sample size
D) lowering alpha
Type II Error
The error that occurs when the null hypothesis is not rejected when it is actually false, also known as a "false negative".
Sample Size
The number of observations or units chosen from a population for the purpose of statistical analysis.
Lowering Alpha
Reducing the alpha level, or the threshold of significance, to decrease the probability of committing a type I error in hypothesis testing.
- Outline approaches to decrease the occurrence of Type I and Type II errors.
- Comprehend the impact of altering sample sizes on error probabilities.
Verified Answer
TW
Tanya williamsJul 28, 2024
Final Answer :
C
Explanation :
Increasing sample size allows for a greater likelihood of detecting a true difference between the groups being compared, thus reducing type II error. Choices A and B affect the level of alpha, which does not directly impact type II error. Lowering alpha (Choice D) decreases the probability of making a type I error, but does not directly impact type II error.
Learning Objectives
- Outline approaches to decrease the occurrence of Type I and Type II errors.
- Comprehend the impact of altering sample sizes on error probabilities.