Assignment 18 is testing your knowledge on all the vocabulary we talked about on Thursday dealing with tests of significance.
Don't get confused by the wording on question 1. You know what the mean and standard deviation are of a sampling distribution of x-bar: remember, we always assume the null hypothesis is true.
Remember: Test-statistic = z-score.
I realize in question 6 that they do not give you an alpha. But even without an alpha, you should be able to answer the question. Which p-value gives us more evidence against the null (helps us accept the alternative)? What does it mean when p-value is low? When p-value is high? How do we get these p-values? If our test statistic (z) is further from the mean, does that give us a high or low p-value? DRAW IT OUT ON A GRAPH! It will help. I promise.
The rest of the questions step you through the process we talked about at the end of class.
Be careful on p-value in question 12: Our null hypothesis is greater than. What proportion do we want from the table?
Good Luck!
-Hillary
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