Using your textbook, LIRN-based research, and your study notes, answer the following questions that deal with confidence interval construction and explain the content in detail, including hypothetical examples and calculations. Important: Be sure to include in-text citations and peer reviewed references in APA format in your discussion post.
Define each of the following terms:
Hypothesis testing,
Null and alternative hypothesis,
Non-directional and directional hypothesis,
Type I error in testing hypothesis,
Type II error in testing hypothesis, probability of type I error (É),
Probability of type II error (Ã),
Power of the test and its significance, the critical value(s) in a test,
p value (significance level).
What is the difference between testing hypothesis on a population and testing hypothesis when comparing two populations? Provide hypothetical examples.
What are the possible outcomes in testing a hypothesis?
What are the determinant factors in deciding the critical value(s) in testing a hypothesis?
When the z statistic is appropriate to be used in testing a hypothesis?
When the t statistic is appropriate to be used in testing a hypothesis? For each case, include the underlying assumptions, and the test statistic, for both testing a hypothesis on the mean of population, and testing hypothesis in comparing the value of the mean in a population with the value of the mean in another population.
What is the criterion for rejecting the null hypothesis for both non-directional and directional tests? How do you find the p value in each case? Do not forget to discuss cases that involve proportion(s).
When is the chi-squared statistic used in testing a hypothesis? Include underlying assumptions and the test statistic for testing a hypothesis on a single population.
What is the criterion for rejecting the null hypothesis for both non-directional and directional tests?
How do you find the p value in each case?
