Asked by The Broccoli Industry on Jul 31, 2024
Verified
The significance level of a statistical inference measures:
A) the proportion of times a conclusion about a population will be correct.
B) the proportion of times a conclusion about a population will be wrong.
C) the proportion of times an estimation procedure will be correct.
D) the proportion of times an estimation procedure will be wrong.
Significance Level
A threshold for determining whether a statistical result is considered statistically significant, usually denoted by alpha (α).
Statistical Inference
The process of drawing conclusions about population parameters based on data from a sample.
- Understand the application and interpretation of significance levels in making statistical conclusions.
Verified Answer
GE
Ginger evansAug 07, 2024
Final Answer :
B
Explanation :
The significance level of a statistical inference measures the proportion of times a conclusion about a population will be wrong. This is also known as the level of error in the inference. It is typically denoted by alpha (α) and is set prior to conducting the hypothesis test. A lower significance level means lower chances of making an error in rejecting or accepting the null hypothesis.
Learning Objectives
- Understand the application and interpretation of significance levels in making statistical conclusions.