1. Identify the parameter of interest. Describe it in the context of the situation. 2. Determine null value and state null hypothesis. 3. State the appropriate alternative hypothesis. 4. Give the formula for the computed value of the test statistic. 5. State the rejection region for the selected level of significance, a. 6. Compute sample quantities (if necessary), substitute into formula for the test statistic value, and compute that value (z in this case). 7. Decide whether or not the null hypothesis should be rejected and state the conclusion in the context of the original problem. (Either "reject" or "fail to reject the null hypothesis; never "accept" the null hypothesis. Next, explain what this means in terms of your specific situation, e.g., "conclude that the mean sulfur content is greater than 1.50%.") For the problems below, when asked to conduct the hypothesis test, please use the seven-step process we have been using in class. Also, in step 7, it is very important to be clear in your conclusion. There are three parts to this: evidence from your hypothesis test, the decision to reject or fail to reject the null hypothesis, and the conclusion in the context of the problem. For example, referring to the first example we did in Chapter 10, we stated the following "-1.03 is not less than -1.96, nor is it greater than +1.96, so we fail to reject Ho: Hi - 2 0, and conclude that there is no difference in mean yield strength between the two types of roof bolts." (Here, the evidence is -1.03 is not less than -1.96, nor is it greater than +1.96 The decision is We fail to reject Ho: H1-2 = 0 The conclusion in the context of the problem is We conclude that there is no difference in mean yield strength between the two types of roof bolts) A study was performed to determine whether men and women differ in repeatability in 6. assembling components on printed circuit boards. Random samples of 25 men and 21 women were selected, and each subject assembled the units. The two sample standard deviations of assembly time were smen = 0.98 minutes and swomen 1.02 minutes. (a) Use the seven-step hypothesis test that we have been using in class to determine if men and women differ in repeatability for this assembly task. Use a = 0.02 and state any necessary assumptions about the underlying distribution of the data. Do not use the P-Value. (b) Determine a 98% confidence interval on the ratio of the two variances. interpretation of the interval Provide an