Asked by Bryan Flores on Aug 01, 2024
Verified
The significance level measures the proportion of the time an inference about a population will be correct in the long run.
Significance Level
The probability of rejecting the null hypothesis in a statistical test when it is actually true, often denoted by alpha.
Proportion
A part, share, or number considered in comparative relation to a whole; a ratio.
Inference
The process of drawing conclusions about a population based on data from a sample.
- Recognize measures of reliability in statistical inference, such as significance and confidence levels.
Verified Answer
JN
Jerome NyamekyeAug 02, 2024
Final Answer :
False
Explanation :
The significance level, also known as alpha, is the threshold chosen by the researcher to test the null hypothesis. It represents the probability of rejecting the null hypothesis when it is true, and is typically set at 0.05 (5%). It does not measure the proportion of times an inference about a population will be correct in the long run. This concept is related to the concept of confidence level, which measures the proportion of times the true population parameter will fall within the confidence interval calculated from a sample in the long run.
Learning Objectives
- Recognize measures of reliability in statistical inference, such as significance and confidence levels.
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