Over the past year, the vice president of human resources at a large medical center conducted a series of three-month workshops aimed at increasing worker motivation and performance., As a check of effectiveness, she selected 7 employees from the personnel files and recorded their most recent annual performance ratings along with the ratings attained prior to attending the workshops. At a 5% level of significance, is there evidence that the workshops increased performance ratings? Take the differences - before - after. Before After 59 72 72 74 89 62 67 74 81 78 88 92 71 81 Take the differences - before-after. Order the data smallest to largest, ignoring the negative signs. Rank the data from 1 to 7. Observation S had the values Before - 81 and After- 78. What is the difference before - after of these values?E What rank will observation 5 receive?2 Add up all the ranks that have a negative dfference, T What is the value of T 19 Add up all the ranks that have a positive difference, T+. What is the value of T+? What is the test statistic, T? The minimum(TT+) From the Table of Critical Values for the Wilcoxon Matched Pairs Signed Rank Test, what is the critical value for the test? What can be conduded for the study? O Performance ratings significantly increased after the workshops. O Performance ratings significantly decreased after the workshops. O There is a significant difference in performance ratings after the workshops. O There is no significant increase in performance ratings after the workshops.

A recent study looked at the relationship between condom use and the spread of AIDS, by following heterosexual couples in which one partner was infected with HIV. The couples were classified by their condom use. Of the 98 couples who always used condoms, 4 partners became infected with HIV. Of the 67 couples who did not always use condoms, 11 partners became infected. Test whether the proportions of partners who became infected with HIV are different for each group, using a 5% level of significance. Give each of the following: 1) the appropriate null and alternative hypotheses; 2) the appropriate test; 3) the decision rule; 4) the calculation of the test statistic; and 5) your conclusion including a comparison to alpha or the critical value. You MUST show your work

Do people feel hungrier after sampling a healthy snack?  Researchers randomly assign volunteers into one of three groups.  The people in the first group were asked to taste a snack that was billed as a new health bar containing high levels of protein, vitamins, and fiber.  The people in the second group were asked to taste the same snack but there told it was a tasty chocolate bar with a raspberry center.  After tasting the snack, participants were asked to rate their hunger on a scale from 1 (not at all hungy) to 7 (very hungry).  The people in the third group were asked to rate their hunger but were not given a snack.   Healthy Tasty No Snack 8 3 3 7 1 3 7 3 5 4 2 6 5 6 5 ­a.  Perform a complete one-way ANOVA hypothesis test.  Test at the .05 level of significance.

Imagine you are in charge of reviewing applications for your academic institution. As a preliminary measure, you want to review only the top 25% of applicants on the basis of standardized test scores. How does calculating the z-score provide additional information regarding how each subject did overall? Provide specific examples of how you would use the information and interpret the scores.

You are a manager for Company ABC and decide to compile data and analyze your employees’ level of satisifaction. You create a survey to ask each employee to rate their level of satisfaction working at Company ABC. Table 1 shows data of 15 people employees that responded to your survey. Each of the employees have the same job title: Sales Representative. The data set includes variables regarding an employee ID, gender, ethnicity, region, pay rate, employee satisfaction rating. Each employee was asked to rate their level of satisfaction working at Company ABC. A composite score from 0 (lowest) to 5 (highest) is shown as the data variable employee satisfaction. Table 1: Employee Data on 15 Sales Representatives at Company ABC

A research study concluded that self-employed individuals do not experience higher job satisfaction than individuals who are not self-employed. In this study, job satisfaction is measured using 18 items, each of which is rated using a Likert-type scale with 1–5 response options ranging from strong agreement to strong disagreement. A higher score on this scale indicates a higher degree of job satisfaction. The sum of the ratings for the 18 items, ranging from 18–90, is used as the measure of job satisfaction. Suppose that this approach was used to measure the job satisfaction for lawyers, physical therapists, cabinetmakers, and systems analysts. Suppose the results obtained for a sample of 10 individuals from each profession follow. Lawyer Physical Therapist Cabinetmaker Systems Analyst 46 53 56 42 40 78 65 71 74 80 81 73 42 88 67 62 53 62 81 66 50 59 66 64 45 60 61 39 50 50 80 55 62 53 84 74 36 50 58 62 At the ? = 0.05 level of significance, test for any…