The probability of committing a Type I error is also known as the ______ level of the test.
- Confidence
- Power
- Significance
- Size
The probability of committing a Type I error (rejecting a true null hypothesis) is known as the significance level (often denoted by alpha) of the test. A common significance level is 0.05, indicating a 5% risk of committing a Type I error if the null hypothesis is true.
Loading...
Related Quiz
- The sum of the squared loadings for a factor (i.e., the column in the factor matrix) which represents the variance in all the variables accounted for by the factor is known as _______ in factor analysis.
- In _________ sampling, the population is divided into subgroups, and a simple random sample is drawn from each subgroup.
- How does the sample size impact the accuracy of the Central Limit Theorem?
- What is the difference between descriptive and inferential statistics?
- What kind of data is best suited for the Wilcoxon Signed Rank Test?