Asked by TheHash SlingingSlasher on Sep 30, 2024
If a test of hypothesis has a Type I error probability of .05,this means that:
A) if the null hypothesis is true,we don't reject if 5% of the time.
B) if the null hypothesis is true,we reject it 5% of the time.
C) if the null hypothesis is false,we don't reject it 5% of the time.
D) if the null hypothesis is false,we reject it 5% of the time.
Type I Error Probability
The probability of incorrectly rejecting the null hypothesis when it is true, often denoted by alpha.
Reject
In statistical analysis, it refers to the decision to not accept the null hypothesis based on the results of the test.
- Determine the symbols (α and β) that signify the probabilities of Type I and Type II errors, accordingly.
- Investigate the connection between significance levels and types of errors.
Learning Objectives
- Determine the symbols (α and β) that signify the probabilities of Type I and Type II errors, accordingly.
- Investigate the connection between significance levels and types of errors.