Statistical hypothesis

Critical value hypothesis test

The critical value test involves constructing a rejection region based on a significance level 𝛼. The critical region will depend on whether 𝐻1 is two sided. In general

Steps

  1. Identify the appropriate distribution of the underlying random variable 𝑋
  2. Formulate a null hypothesis 𝐻0 of our assumed parameterisation of the distribution; and an alternate hypothesis 𝐻1 of its negation, which may be either one-sided or two-sided.
  3. Construct the distribution of the test statistic being used 𝑍 under the assumptions of 𝐻0.
  4. Calculate the critical value and rejection region for significance level 𝛼.
  5. State the conclusion: Reject 𝐻0 if the observed statistic is in the rejection region; otherwise we maintain 𝐻0.
  6. Interpret these results in the context of the problem.


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