New representatives for the John Ford Metal and Wheel Company attend a brief training program before being assigned to a regional office. At the end of such a program, each representative was ranked with respect to future sales potential. At the end of the first sales year, their rankings were paired with their annual sales: 3. 5. 6. 7. 8. 9. 10. ܪ a. b. C. Representative Kitchen Bond Gross Arbuckle Greene Arden Crane Arthur Keene Knopf Annual Sales ($000) 319 150 175 460 348 300 280 200 190 300 Ranking in Training Program 4 9 6 1 3 10 84278 Compute Spearman's rank correlation coefficient. Interpret. Do a hypothesis test at the .01 level of significance.
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- If an administrator at a regional hospital wanted to organize the following data, which chart/graph would they select, and why: a. Inpatient mortality rate (data on how many inpatients have died while in the hospital's care prior to being discharged). Sorted by first-listed diagnosis. b. Average revenue generated per physician. Sorted by physician. c. Percent of admitted patients with overnight stays compared to industry average.Jane White has recorded the following sales figures for last year for herbusiness: January, $35,645; February, $35,456; March, $31,270; April,$32,129; May, $34,456; June, $35,256; July, $36,218; August, $35,456;September, $34,250; October, $32,156; November, $30,125; December,$32,275. She wants to select from one of three models: a 3-month movingaverage, a weighted moving average (she believes that the weightsshould be 0.2, 0.3, and 0.5), and an exponential smoothing average inwhich she uses an α of 0.2 and an assumed forecast for January of Year 1of $35,000.a. Construct a table that shows each of these forecasts for the current year andprovide the forecast for January of Year 2.b. Using the available data and your forecasts, which model do you suggest thatJane use for her business?What would be a suitable chart type to show the proportions of the sales by products?
- In 2011 home prices and mortgage rates dropped so low that in a number of cities the monthly cost of owning a home was less expensive than renting. The following data show the average asking rent for 10 markets and the monthly mortgage on the median priced home (including taxes and insurance) for 10 cities where the average monthly mortgage payment was less than the average asking rent (The Wall Street Journal, November 26–27, 2011).Click on the datafile logo to reference the data. Enter negative values as negative numbers. a. Develop the estimated regression equation that can be used to predict the monthly mortgage given the average asking rent (to 2 decimals).The regression equation is:Mortgage ($) = + Rent ($)As the leader of the sales team, you would like to increase the revenue brought by your team. You discovered a program for sales personnel that supposedly improve interpersonal skills and thus help settle deals with customers more often. You decide to send8 of your sales people for the training, and compare the amount they brought in sales in the month before they went and in the month after they received the training. The data are: Xbefore: 400, 300, 1200, 2100, 700, 450, 650, 3400 Xafter: 1000, 400, 1000, 2500, 1200, 600, 800, 3000 A. Identify the appropriate statistical measure to use. B. Conduct the test. Make a decision about the null hypothesis, interpret your results and calculate effect size if applicable. At ?=.05, can you report to upper management that the training worked? Or was it a waste of money? C. Calculate 95% confidence intervals for the estimate of the difference.Official unemployment rates for the U.S. population are reportedon a monthly basis by the Bureau of Labor Statistics.For the period October, 2011, through January, 2012, theofficial unemployment rates were 8.9% (Oct.), 8.7% (Nov.),8.5% (Dec.), and 8.3% (Jan.). (Source: U.S. Bureau of LaborStatistics, www.bls.gov.) If the unemployment rateswere to continue to decrease following a linear model,(a) predict the unemployment rate on January, 2013.(b) predict when the United States would reach a zero unemploymentrate.
- The median yearly salary for a police dispatcher in a large city If the 25th percentile for a yearly salary of a police was $44,528. dispatcher was $32,761, find the percent of police dispatcher whose yearly salaries were a. less than $44,528. b. more than $32,761. C. between $32,761 and $44, 528.A local car dealership keeps records of complaints received from its customers. Complaints for last month are listed in the following table. What percent of the complaints are due to the category Electrical System Malfunctions? Round your answer to two decimal places, if necessary. Customer Complaints Type of Complaint Premature Brake Wear Transmission Failure Transmission Slippage Coolant Leaking Premature Brake and Rotor Wear Excessive Oil Consumption Body/Paint Defects AC/Heater Issues Seat Belts/Air Bags Malfunctions Exhaust System Issues Electrical System Malfunctions Suspension Issues Frequency 17 14 29 7 11 20 19 22 13 4 27 9 +A sales manager would like to see his sales representative’s unit sales per month. The secretary was told to keep a monthly record of the sales. The following are the data from the previous months (in ascending order): 5, 6, 8, 10, 10, 14, 15, 16, 16, 17, 17, 18, 19, 21, 21, 23, 26, 27, 28, 28, 28, 30, 38, 43. With that, complete the frequency distribution table below. Compute for the average sales per month (mean).
- The data shown below represents the July sales (in dollars) for 21 sales representatives at a company:The UNOH good works society is planning an annual fundraising "Eat-a-Thon". The society will charge students 75¢ per serving of pasta. The only expenses they will incur are the cost of the pasta, estimated at 25¢ per serving, and the $325 cost of renting the facility for the evening. Perform a Break-Even analysis. How many servings of pasta would they need to sell to make money for the fundraiser? Select one: O a. They would ne to sell 651 servings of pasta. o b. They would need to sell 851 servings of pasta. O . They would need to sell 451 servings of pasta. o d. They would need to sell 551 servings of pasta. O e. They would need to sell 615 servings of pasta.The gas mileage of two trucks was compared from two different advertisements. The information is shown in the table.