Asked by Gristel Quiroz 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 decrease.
Type II Error
The error that occurs when a hypothesis test fails to reject a false null hypothesis, also known as a false negative.
Level Of Significance
The threshold for determining whether a statistical result is not due to chance, often set at 0.05 or 5% in many scientific studies.
Sample Size
The amount of observations or data points obtained from a population for statistical analysis purposes.
- Acquire knowledge about the interconnection among the degree of significance, the magnitude of the sample, and the risk of incurring Type I and Type II errors.
Learning Objectives
- Acquire knowledge about the interconnection among the degree of significance, the magnitude of the sample, and the risk of incurring Type I and Type II errors.