What are null hypothesis and alternative hypothesis? In a statistical test, we h

Question

What are null hypothesis and alternative hypothesis? In a statistical test, we have the choice of a two-tailed test, a left-tailed test, or a right-tailed test. Which hypothesis is the determining factor for choosing the direction of the test? (In other words, how would you decide?) For the same sample data and null hypothesis, how does the P-value for a two-tailed test compare to that for a one-tailed test? Using P-value method, how would you reject or fail to reject the null hypothesis? (what is the decision criteria?) How does level of significance matter to the hypothesis testing? If the P-value is such that you can reject H_0 at the 5% level of significance, can you always reject H_0 at the 1% level? Explain. What do we mean when we say the data used in a statistical test are significant? In class we mentioned: ldquo If you are conducting a study and want to use a hypothesis test to support your claim, the claim must be worded so that it becomes the alternative hypothesis rdquo. Please Explain. In hypothesis testing, why it is more appropriate to use ldquo Fail to reject to H_0 rdquo instead of ldquo Accept H_0 rdquo? Explain the type I and type II error. Describe the general steps to use traditional Critical Region methods.

Explanation / Answer

2) Alternativ ehypothesi sis the determining factor.

3) The p valu efor a two-tailed test is double that of one-tailed test.

4) If p valu eis less than given significance level (alpha), reject H0, otherwise not.

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