Asked by KAILASH KAFLE on Sep 30, 2024
For a given level of significance,if the sample size is increased,the probability of committing a Type II error will increase.
Type II Error
A statistical error that occurs when a false null hypothesis is not rejected, meaning a real effect or difference was failed to be detected.
Sample Size
The number of observations or data points collected in a sample from a population, used for statistical analysis.
- Appreciate the basics of Type I and Type II errors and understand how modifications in significance (α) and changes in sample size (n) play a role in affecting these errors.
- Understand the relationship between sample size, significance level, and the power of a test.
Learning Objectives
- Appreciate the basics of Type I and Type II errors and understand how modifications in significance (α) and changes in sample size (n) play a role in affecting these errors.
- Understand the relationship between sample size, significance level, and the power of a test.
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