1. An Industrial/Organizational Psychologist conducted a research study to examine five different efficiency-boosting strategies. Forty subjects were randomly assigned to one of the five groups (each group using a different strategy), allowing eight subjects to be in each group. After the training, the subjects were administered a work sample test to assess their efficiency. The following is a partially completed summary ANOVA table for the study. (10 pts)

PP-Value

1. State the null and alternative hypothesis. (1 point)
2. Complete the ANOVA table. (7 points)
3. Interpret the results. (2 points)

2. Desmarais and Curtis (1997) conducted a study to examine how women and men evaluate their worth as employees. They hypothesized that an individual’s perception of how much they should be paid for a task would be affected by gender and recent pay for past jobs. They conducted an experiment in which male and female students were asked to determine how much money they should earn to perform a certain task. The subjects also reported the amount of money that they earned during the previous summer. The following is an excerpt from the authors report:

"Participants’self-payments were analyzed with a 2x3 (Gender of Participants X Recent Income Experience) analysis of variance (ANOVA). Contrary to the prediction that recent income would influence self-pay, the data revealed no pay allocation difference by income experience (F(2,66)=1.99. Also, there was no significant interaction of gender and income history, F(2,66)=0.61. In keeping with previous research on perceived income entitlement, men paid themselves significantly more (M=$3.99) than did women (M=$2.74), F(1, 66)=5.86, p<.02.

Briefly (10 sentences or less) describe these results to a person who has never had a statistics course. (10 points)

3. You are interested in better understanding the roots of poverty. The output presented below represents data on poverty levels and education levels from all 50 states. In this model, POVERTY (percent of people in the state who live below the poverty line) is regressed on PCTHS (percent of adults in the state who have a high school diploma). PCTHS is centered at 80 percent (i.e., 80 was subtracted from each states original PCTHS score). (20 pts)

1. Fill in the missing data in the output above (all slots shaded gray should be completed). ___(12 points).
2. Interpret the slope (describing the parameter estimates, t*, and the p-value (6 points).
3. Interpret the 95% confidence interval for the slope (2 points).

4. Working with the ‘New Restaurant’ dataset (available as an Excel spreadsheet or SPSS data file, "Exam2_new-restaurant"), investigate the correlation between Age of Owner (‘Owner_age’) and the Estimated Profit of the restaurant in the first 6 months (‘Profit’).
(10 points)

To earn full credit, your answer should include the following:

• A scatterplot between the two variables
• The Pearson’s correlation coefficient ( and interpretation )
• The r ² value ( and interpretation )
• the p-value associated with the correlation coefficient
• Your conclusion (referring to the r and p-values).

5. Again working with the ‘New Restaurant’ dataset (available as an Excel spreadsheet or SPSS data file, "Exam2_new-restaurant"), explore how well the number of customers a restaurant has on opening day (‘Customers’) predicts the profit of the restaurant in the first 6 months (‘Profit’). Your key research question is: Does the number of customers a restaurant has on opening day significantly predict the profit of the restaurant in the first 6 months? (20 points)

1. What is the null and alternative hypothesis? (1 point)
2. Produce box plots for the two variables of interest and a scatterplot with customers on the x-axis and profit on the y-axis. Interpret these plots with regards to the key assumptions of regression these plots address. (4 points)
3. Report and interpret r and r ² . (4 points)
4. Write the regression equation for profit (y) regressed on customers (x). Interpret the slope and intercept. What is the predicted profit for a restaurant that had 30 customers on day 1? (4 points)
5. What is the 95% confidence interval for the slope? Interpret this interval. (2 points)
6. What do you conclude with regards to your hypothesis? Report the relevant test statistic(s) and p-value(s) to support your conclusion. What is the ‘take home message’ for people hoping to open a new restaurant? (5 points)

6. The VP of HR at the large software company in your region is concerned that the company is not doing enough to recognize generational differences with their employees. She is concerned that younger generations of employees are less satisfied than older generations and, what’s more, that the age-old strategy of paying employees more to increase their satisfaction isn’t working as well with the younger group.

You have been hired by the VP to dig deeper into these issues of generational differences, job satisfaction, and the satisfaction involved with higher income. Working with the dataset labeled "P 6_generational-job-sat", analyze and interpret the main effects and interaction effects of generation (age category or ‘age_bin’, indicating this is a binary variable) and income (income category or ‘inccat’) on job satisfaction (‘jobsat’). (*Note: both independent variables are measured as categorical variables for all analysis purposes).

(20 points)

For full credit, your answer should include the following parts:

• Statement of what analysis you will use to analyze these data
• Acknowledgement of key assumptions of the analysis you use
• Statement of null and alternative hypotheses
• All test statistics and p-values relevant to hypotheses
• Conclusion in terms of hypotheses
• Graphical illustration of the interaction effect (whether or not it is significant)
• Complete interpretation of results (referring to all effects tested), put into the original context of the VP’s concern

Price: $35.65

Solution: The downloadable solution consists of 16 pages, 1965 words and 12 charts.
Deliverable: Word Document