When constructing and implementing hypothesis tests, what reasoning is used behind the statement of the null and alternative hypotheses? Why are hypothesis tests set up in this way? Can a confidence interval obtained for estimating a population parameter be used to reject the null hypothesis? If your answer is yes, explain how. If your answer is no, explain why.
When performing a hypothesis testing, two types of errors can be made: Type I and Type II. Explain in your opinion which of these errors would be a more serious error. Use specific examples to support your argument and reasoning.
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