1. What are the assumptions for various forms of hypothesis testing? 2. Compare the sampling distribution with...

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1. What are the assumptions for various forms ofhypothesis testing?
2. Compare the sampling distribution with the populationdistribution. Consider how variance may or may not differ betweenthe two.
3. If we reject a null hypothesis of no difference, whatare the odds that we made a correct decision?
4. Type I and Type II error. How isalpha related to this? How is the critical region related to typeII error? If the null is true, what is the probability of type IIerror?
5. What values can alpha be and not be? Can alpha be 0?Why?
6. How can we increase the probability that a confidenceinterval will include the population parameter?How can we increasethe width of a confidence interval? How can we decrease thewidth?

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1 The primary assumptions for any Statistical testing are A The Sample on which the test will perform must be a randomly selected sample B The Sample should be sufficiently large 50 so that it will contain the sufficient amount of information of the process C The variable must be measured on a interval ratio level 2 If the Population is distribution is normal then the sample mean is an unbiased estimator of the population mean but the sample variance may or may not differ from the population variance it See Answer

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