Question

In: Statistics and Probability

the following are the monthly sales (in thousands of dollars) for a company in four regions...

the following are the monthly sales (in thousands of dollars) for a company in four regions of the country.

North

East

South

West

34

28

18

24

47

36

30

38

44

40

30

41

29

21

30

24

37

23

Does the data suggest that there is a difference in the mean monthly sales among the different regions?

Solutions

Expert Solution


Related Solutions

The following data gives the monthly sales (in thousands of dollars) for different advertising expenditures (also...
The following data gives the monthly sales (in thousands of dollars) for different advertising expenditures (also in thousands of dollars) and sales commission percentages. Sales                    245      138      352      322      228      275      560      366 Advertising          16.5     18.0     22.3     18.4     19.0     19.5     30.0     18.6 Commission        10.5     2.0       4.0       3.5       4.5       1.8       9.0       8.5 What amount of sales would...
The data shown below contains the monthly sales (in thousands of dollars) at a local department...
The data shown below contains the monthly sales (in thousands of dollars) at a local department store for each of the past 24 months. Copy the data to Excel, perform a runs test, and compute a few autocorrelations to determine whether this time series is random. Give your conclusion by referring to the results of your runs test and autocorrelations (no need to try to attach the Excel output in this text box, just mention the specific values you refer...
Milner Brewing Company experienced the following monthly sales (in thousands of barrels) during 2010: Jan. Feb....
Milner Brewing Company experienced the following monthly sales (in thousands of barrels) during 2010: Jan. Feb. Mar. Apr. May June 100 92 112 108 116 116 ​    Please fill the blanks in the table below to answer these three questions: (round to the nearest integers) (a)        Develop 2-month moving average forecasts for May through July. (b)        Develop 4-month moving average forecasts for May through July. (c)        Develop forecasts for February through July using the exponential smoothing method (with w = .5). Begin...
A firm reported the following income statement (all figures arein thousands of dollars):Net Sales...
A firm reported the following income statement (all figures are in thousands of dollars):Net Sales1,100-operating costs200-depreciation & amortization230=Operating Income (EBIT)?-interest76=Earnings Before Taxes (EBT)?-taxes81=Net Income?What is the operating income of this firm?NOTE: the - and = in red have been added to serve as a hint on how to compute each item of interest.A firm reported the following income statement (all figures are in thousands of dollars):Net Sales1,550-operating costs200-depreciation & amortization220=Operating Income (EBIT)?-interest77=Earnings Before Taxes (EBT)?-taxes70=Net Income?What is the net income...
The chart below lists the sales in thousands of dollars based on the advertising budget for...
The chart below lists the sales in thousands of dollars based on the advertising budget for that quarter. The regression equation is Y' = 4.073 + 0.8351X. What is the correlation coefficient? Advertising ($hunderds) Sales ($thousands) 0 5 3 5.5 4 7 5 7.8 6 9 7 11 Multiple Choice 0.775 0.844 0.926 1.00
The following data shows the quarterly profit (in thousands of dollars) made by a particular company...
The following data shows the quarterly profit (in thousands of dollars) made by a particular company in the past 3 years. Year Quarter Profit ($1000s) 1 1 45 1 2 51 1 3 72 1 4 50 2 1 49 2 2 45 2 3 79 2 4 54 3 1 42 3 2 58 3 3 70 3 4 56 a.  Use α = 0.3 to compute the exponential smoothing values for the time series. Compute MSE and the forecast...
The following data shows the quarterly profit (in thousands of dollars) made by a particular company...
The following data shows the quarterly profit (in thousands of dollars) made by a particular company in the past 3 years. Year Quarter Profit ($1000s) 1 1 45 1 2 51 1 3 72 1 4 50 2 1 49 2 2 45 2 3 79 2 4 54 3 1 42 3 2 58 3 3 70 3 4 56 a. Use α = 0.3 to compute the exponential smoothing values for the time series. Compute MSE and the...
Data on advertising expenditures and revenue (in thousands of dollars) for the Four Seasons Restaurant follow....
Data on advertising expenditures and revenue (in thousands of dollars) for the Four Seasons Restaurant follow. Advertising Expenditures Revenue 1 20 2 33 4 44 6 40 10 52 14 53 20 54 a. Let X equal advertising expenditures and Y equal revenue. Complete the estimated regression equation below (to 2 decimals). y =( )+( )x b. Compute the following (to 1 decimal). SSE ( ) SST ( ) SSR ( )MSR ( ) MSE ( ) c. Test whether...
The payoff table below provides the profits (in thousands of dollars) for each of four alternatives...
The payoff table below provides the profits (in thousands of dollars) for each of four alternatives in each of three supplies. Supplies Alternative S1 S2 S3 A1 112 67 -26 A2 82 85 101 A3 85 72 80 A4 -50 90 110 Suppose that the probabilities for the supplies above are P(S1) = 0.6, P(S2) = 0.2, and P(S3) = 0.1. Which alternative should be selected under Bayes’ Rule? What is the expected value of perfect information for this decision?
The following data give the annual incomes (in thousands of dollars) and amounts (in thousands of dollars) of life insurance policies for eight persons.
The following data give the annual incomes (in thousands of dollars) and amounts (in thousands of dollars) of life insurance policies for eight persons.(a) At the 98% confidence level, test whether annual income and the amount of life insurance policies are independent.(b) Find the attained significance level.(c) State any assumptions you have made in solving the problem.
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT