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A carpet manufacturer is studying differences between two of its major outlet stores. The company has decided to revise and improve its operations and response time to customer needs and is particularly interested in the time it takes customers to receive carpeting that was ordered from the plant. A sample of 41 delivery times for the most popular type of carpet for store A revealed an average delivery time 34.3 days with a standard deviation of 2.4 days. A similar sample of 31 delivery times for store B revealed an average of 43.7 days with a standard deviation of 3.1 days. At the .05 level of significance, is there evidence of a difference in variability in the shipping time between the two outlets? What decision should the carpet manufacturer make? Please provide step by step solution.
Would it be reasonable to conclude that the 5 percent of the employees are not able to pass the random drug test?
There are two telephone lines A and B. Let E1 be the event that line A is being used and E2 be the event that line B is being used
As we can say there is 5.5 percent chance of seeing the current policy having an effect on smog in the results we observed from natural sampling variation.
Using smoothing constant of w = .80, compute the value of exponentially smoothed series in 1983.
What is the probability that he will answer all questions correctly?
Determine the average and the variation for Brand 1 price, sales market share, and total revenue, using the weekly market survey data (descriptive statistics).
Assuming we can verify that the data set is approximately normally distributed, what percentage of times will the server be down less than 24 minutes?
Note that Σ x = 2233 and Σ x 2 = 138,053. At the 5% level of significance, can the instructor conclude that the new mean is different from 64?
Evaluate the multiple regression model between quantity sold (Y) and following explanatory variables: average price of deep-dish pizzas, monthly advertising expenditures, and disposable income per household in areas surrounding outlets.
Compute the difference scores for following data from repeated-measures study.
Assume that the smiling time of eight-week old babies, in seconds, follows a uniform distribution between 0 and 23 seconds, inclusive. This means that any smiling time from 0 to and including 23 seconds is equally likely.
Find the probability of getting a head and rolling a six
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