Power of test depend on excepta.significance levelb.the reliability of the sample sizec.the effect sized.population size
Question
Power of test depend on excepta.significance levelb.the reliability of the sample sizec.the effect sized.population size
Solution
The power of a statistical test is influenced by several factors, including:
a. Significance level: The significance level, also known as the alpha level, is the probability of rejecting the null hypothesis when it is true. A lower significance level means a lower chance of making a Type I error (false positive), but it also reduces the power of the test.
b. The reliability of the sample size: The larger the sample size, the more reliable the results and the greater the power of the test. A larger sample size reduces the margin of error and the impact of random variation.
c. The effect size: The effect size is a measure of the strength of the relationship between two variables in the population. The larger the effect size, the greater the power of the test.
d. Population size: Contrary to what one might think, the power of a test does not depend on the population size. This is because statistical tests are based on the sample data, not the entire population. Therefore, the power of a test is not affected by the population size.
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