Question: 1.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

1.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 and why?

2.When performing a hypothesis testing, two types of errors can be made: Type I and Type II. Which of these errors would be a more serious error. Can you give a specific examples?

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