Highlights
Assignment 2 - Brief & Guidelines
Assignment 2 Part A - ANOVA
1. A manager at the head office of a company is considering 3 branch office managers for promotion. Branch reports include records of sales volume per agent for each branch. A random sample of records was selected for agents at each branch. All branches are located in cities with similar demographics (per capita income, population etc.) Using the samples, the manager wants to see if there is a significant difference in performance of agents at the three branches. If there is a difference, the information will be used to help determine which branch manager to promote; otherwise it will not be included in the decision. (All values are in hundreds of thousands of dollars.) (15 points)
For the single measurement problem, use an a = 0.01 level of significance. Conduct an appropriate hypothesis test and conclude whether to reject or not reject the claim that there is no difference among the agents at the different branches.
Assignment 2 Part B – Regression
1. Each box of one brand of breakfast cereal contains a coupon entitling purchasers to a free package of vegetable seeds. At the home office, they use the weight of the incoming mail to determine the number of employees to be assigned to collecting coupons and sending out seed packages each day. (The company policy is that all mail received will be answered the same day.) Following is the data for a random sample of 8 days: (15 points)
a. Draw a scatter diagram for the data and discuss its shape.
b. Using Excel conduct the following regression modules for the data:
I. Linear
II. Quadratic
III. Third degree polynomial
IV. Exponential
V. Logarithmic
VI. Power
c. Determine which model is the best and state the reason for your choice.
d. What percentage of the variation in the number of employees is explained by the regression model chosen?
e. If the company receives 15 pounds of mail, how many employees should be assigned for mail duty?
Assignment 2 Part C – Time Series and Non-Parametric Tests
1. The number of fishing rods selling each day is given below. Perform analyses of the time series to determine which model should be used for forecasting. (10 points)
a. 3 day moving average analysis
b. 4 day moving average analysis
c. 3 day weighted moving average analysis with weights w1=0.2, w2=0.3 and w3=0.5 with w1 on the oldest data
d. exponential smoothing analysis with a = 0.3.
e. Which model provides a better fit of the data?
f. Forecast day 13 sales of fishing rods using the model chosen in part (e).
2. Please read the relevant article, found in the VLE, before answering this question. Discuss the process and findings used in the study of the article. Suggest a possible study that could be done at your current or past job that could use a similar methodology and analysis. (10 points)
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