What is a type I and type II errors in hypothesis testing? What would be examples of each? Explain© BrainMass Inc. brainmass.com October 25, 2018, 9:11 am ad1c9bdddf
In hypothesis testing, a Type-I error is the incorrect rejection of a true null hypothesis. A Type-II error is the failure to reject a false null hypothesis.
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The solution comprises of a detailed discussion on Type I and Type II errors in hypothesis testing.
Statistics, Research and Evaluation
1. Determine what would happen to your critical value (Z) if you were to change the level of significance (a) from .05 to .1 in a two tailed hypothesis test.
2. Why would the critical value change in the way you predict?
3. What does this suggest about the trade offs between Type 1 and Type II errors?
Please give some examples so I understand the concepts. Thank you.View Full Posting Details