A consumer product testing organization uses a survey of readers to obtain customer satisfaction ratings for the nation's largest supermarkets. Each survey respondent is asked to rate a specified supermarket based on a variety of factors such as: quality of products, selection, value, checkout efficiency, service, and store layout. An overall satisfaction score summarizes the rating for each respondent with 100 meaning the respondent is completely satisfied in terms of all factors. Suppose sample data representative of independent samples of two supermarkets' customers are shown below.
| Supermarket 1 | Supermarket 2 |
|---|---|
|
n1 = 280 |
n2 = 300 |
|
x1 = 82 |
x2 = 81 |
(a)
Formulate the null and alternative hypotheses to test whether there is a difference between the population mean customer satisfaction scores for the two retailers. (Let μ1 = the population mean satisfaction score for Supermarket 1's customers, and let μ2 = the population mean satisfaction score for Supermarket 2's customers. Enter != for ≠ as needed.)
H0:
μ1=μ2
Ha:
μ1!=μ2
(b)
Assume that experience with the satisfaction rating scale indicates that a population standard deviation of 17 is a reasonable assumption for both retailers. Conduct the hypothesis test.
Calculate the test statistic. (Use
μ1 − μ2.
Round your answer to two decimal places.)
Report the p-value. (Round your answer to four decimal places.)
p-value =
At a 0.05 level of significance what is your conclusion?
Reject H0. There is not sufficient evidence to conclude that the population mean satisfaction scores differ for the two retailers.Do not reject H0. There is not sufficient evidence to conclude that the population mean satisfaction scores differ for the two retailers. Reject H0. There is sufficient evidence to conclude that the population mean satisfaction scores differ for the two retailers.Do not reject H0. There is sufficient evidence to conclude that the population mean satisfaction scores differ for the two retailers.
(c)
Which retailer, if either, appears to have the greater customer satisfaction?
Supermarket 1Supermarket 2 neither
Provide a 95% confidence interval for the difference between the population mean customer satisfaction scores for the two retailers. (Use
x1 − x2.
Round your answers to two decimal places.)
to
In: Statistics and Probability
A consumer product testing organization uses a survey of readers to obtain customer satisfaction ratings for the nation's largest supermarkets. Each survey respondent is asked to rate a specified supermarket based on a variety of factors such as: quality of products, selection, value, checkout efficiency, service, and store layout. An overall satisfaction score summarizes the rating for each respondent with 100 meaning the respondent is completely satisfied in terms of all factors. Suppose sample data representative of independent samples of two supermarkets' customers are shown below.
| Supermarket 1 | Supermarket 2 |
|---|---|
|
n1 = 270 |
n2 = 300 |
|
x1 = 84 |
x2 = 83 |
(a)
Formulate the null and alternative hypotheses to test whether there is a difference between the population mean customer satisfaction scores for the two retailers. (Let μ1 = the population mean satisfaction score for Supermarket 1's customers, and let μ2 = the population mean satisfaction score for Supermarket 2's customers. Enter != for ≠ as needed.)
H0:
Ha:
(b)
Assume that experience with the satisfaction rating scale indicates that a population standard deviation of 17 is a reasonable assumption for both retailers. Conduct the hypothesis test.
Calculate the test statistic. (Use
μ1 − μ2.
Round your answer to two decimal places.)
Report the p-value. (Round your answer to four decimal places.)
p-value =
At a 0.05 level of significance what is your conclusion?
Reject H0. There is not sufficient evidence to conclude that the population mean satisfaction scores differ for the two retailers.Reject H0. There is sufficient evidence to conclude that the population mean satisfaction scores differ for the two retailers. Do not reject H0. There is sufficient evidence to conclude that the population mean satisfaction scores differ for the two retailers.Do not reject H0. There is not sufficient evidence to conclude that the population mean satisfaction scores differ for the two retailers.
(c)
Which retailer, if either, appears to have the greater customer satisfaction?
Supermarket 1
Supermarket 2
neither
Provide a 95% confidence interval for the difference between the population mean customer satisfaction scores for the two retailers. (Use
x1 − x2.
Round your answers to two decimal places.)
to
In: Statistics and Probability
A consumer product testing organization uses a survey of readers to obtain customer satisfaction ratings for the nation's largest supermarkets. Each survey respondent is asked to rate a specified supermarket based on a variety of factors such as: quality of products, selection, value, checkout efficiency, service, and store layout. An overall satisfaction score summarizes the rating for each respondent with 100 meaning the respondent is completely satisfied in terms of all factors. Suppose sample data representative of independent samples of two supermarkets' customers are shown below.
| Supermarket 1 | Supermarket 2 |
|---|---|
|
n1 = 280 |
n2 = 300 |
|
x1 = 89 |
x2 = 88 |
(a)
Formulate the null and alternative hypotheses to test whether there is a difference between the population mean customer satisfaction scores for the two retailers. (Let μ1 = the population mean satisfaction score for Supermarket 1's customers, and let μ2 = the population mean satisfaction score for Supermarket 2's customers. Enter != for ≠ as needed.)
H0:
Ha:
(b)
Assume that experience with the satisfaction rating scale indicates that a population standard deviation of 13 is a reasonable assumption for both retailers. Conduct the hypothesis test.
Calculate the test statistic. (Use
μ1 − μ2.
Round your answer to two decimal places.)
Report the p-value. (Round your answer to four decimal places.)
p-value =
At a 0.05 level of significance what is your conclusion?
Reject H0. There is sufficient evidence to conclude that the population mean satisfaction scores differ for the two retailers.Do not reject H0. There is not sufficient evidence to conclude that the population mean satisfaction scores differ for the two retailers. Do not reject H0. There is sufficient evidence to conclude that the population mean satisfaction scores differ for the two retailers.Reject H0. There is not sufficient evidence to conclude that the population mean satisfaction scores differ for the two retailers.
(c)
Which retailer, if either, appears to have the greater customer satisfaction?
Supermarket 1Supermarket 2 neither
Provide a 95% confidence interval for the difference between the population mean customer satisfaction scores for the two retailers. (Use
x1 − x2.
Round your answers to two decimal places.)
to
In: Statistics and Probability
A consumer product testing organization uses a survey of readers to obtain customer satisfaction ratings for the nation's largest supermarkets. Each survey respondent is asked to rate a specified supermarket based on a variety of factors such as: quality of products, selection, value, checkout efficiency, service, and store layout. An overall satisfaction score summarizes the rating for each respondent with 100 meaning the respondent is completely satisfied in terms of all factors. Suppose sample data representative of independent samples of two supermarkets' customers are shown below.
| Supermarket 1 | Supermarket 2 |
|---|---|
|
n1 = 260 |
n2 = 300 |
|
x1 = 89 |
x2 = 88 |
(a) Formulate the null and alternative hypotheses to test whether there is a difference between the population mean customer satisfaction scores for the two retailers. (Let μ1 = the population mean satisfaction score for Supermarket 1's customers, and let μ2 = the population mean satisfaction score for Supermarket 2's customers. Enter != for ≠ as needed.)
H0:
Ha:
(b) Assume that experience with the satisfaction rating scale indicates that a population standard deviation of 15 is a reasonable assumption for both retailers. Conduct the hypothesis test.
Calculate the test statistic. (Use μ1 − μ2. Round your answer to two decimal places.)
test statistic =
Report the p-value. (Round your answer to four decimal places.)
p-value =
At a 0.05 level of significance what is your conclusion?
Reject H0. There is sufficient evidence to conclude that the population mean satisfaction scores differ for the two retailers.
Reject H0. There is not sufficient evidence to conclude that the population mean satisfaction scores differ for the two retailers.
Do not reject H0. There is not sufficient evidence to conclude that the population mean satisfaction scores differ for the two retailers.
Do not reject H0. There is sufficient evidence to conclude that the population mean satisfaction scores differ for the two retailers.
(c) Which retailer, if either, appears to have the greater customer satisfaction?
Supermarket 1, Supermarket 2, or neither
Provide a 95% confidence interval for the difference between the population mean customer satisfaction scores for the two retailers. (Use x1 − x2. Round your answers to two decimal places.)
In: Statistics and Probability
A consumer product testing organization uses a survey of readers to obtain customer satisfaction ratings for the nation's largest supermarkets. Each survey respondent is asked to rate a specified supermarket based on a variety of factors such as: quality of products, selection, value, checkout efficiency, service, and store layout. An overall satisfaction score summarizes the rating for each respondent with 100 meaning the respondent is completely satisfied in terms of all factors. Suppose sample data representative of independent samples of two supermarkets' customers are shown below.
| Supermarket 1 | Supermarket 2 |
|---|---|
|
n1 = 260 |
n2 = 300 |
|
x1 = 82 |
x2 = 81 |
(a)
Formulate the null and alternative hypotheses to test whether there is a difference between the population mean customer satisfaction scores for the two retailers. (Let μ1 = the population mean satisfaction score for Supermarket 1's customers, and let μ2 = the population mean satisfaction score for Supermarket 2's customers. Enter != for ≠ as needed.)
H0:
Ha:
Assume that experience with the satisfaction rating scale indicates that a population standard deviation of 17 is a reasonable assumption for both retailers. Conduct the hypothesis test.
Calculate the test statistic. (Use
μ1 − μ2.
Round your answer to two decimal places.)
Report the p-value. (Round your answer to four decimal places.)
p-value =
At a 0.05 level of significance what is your conclusion?
Reject H0. There is not sufficient evidence to conclude that the population mean satisfaction scores differ for the two retailers.
Do not reject H0. There is not sufficient evidence to conclude that the population mean satisfaction scores differ for the two retailers.
Do not reject H0. There is sufficient evidence to conclude that the population mean satisfaction scores differ for the two retailers.
Reject H0. There is sufficient evidence to conclude that the population mean satisfaction scores differ for the two retailers.
Which retailer, if either, appears to have the greater customer satisfaction?
Supermarket 1Supermarket 2 neither
Provide a 95% confidence interval for the difference between the population mean customer satisfaction scores for the two retailers. (Use
x1 − x2.
Round your answers to two decimal places.)
to
In: Math
A consumer product testing organization uses a survey of readers to obtain customer satisfaction ratings for the nation's largest supermarkets. Each survey respondent is asked to rate a specified supermarket based on a variety of factors such as: quality of products, selection, value, checkout efficiency, service, and store layout. An overall satisfaction score summarizes the rating for each respondent with 100 meaning the respondent is completely satisfied in terms of all factors. Suppose sample data representative of independent samples of two supermarkets' customers are shown below.
| Supermarket 1 | Supermarket 2 |
|---|---|
|
n1 = 280 |
n2 = 300 |
|
x1 = 89 |
x2 = 88 |
(a)
Formulate the null and alternative hypotheses to test whether there is a difference between the population mean customer satisfaction scores for the two retailers. (Let μ1 = the population mean satisfaction score for Supermarket 1's customers, and let μ2 = the population mean satisfaction score for Supermarket 2's customers. Enter != for ≠ as needed.)
H0:
Ha:
(b)
Assume that experience with the satisfaction rating scale indicates that a population standard deviation of 14 is a reasonable assumption for both retailers. Conduct the hypothesis test.
Calculate the test statistic. (Use μ1 − μ2. Round your answer to two decimal places.)
Report the p-value. (Round your answer to four decimal places.)
p-value =
At a 0.05 level of significance what is your conclusion?
Reject H0. There is not sufficient evidence to conclude that the population mean satisfaction scores differ for the two retailers.Do not reject H0. There is sufficient evidence to conclude that the population mean satisfaction scores differ for the two retailers. Reject H0. There is sufficient evidence to conclude that the population mean satisfaction scores differ for the two retailers.Do not reject H0. There is not sufficient evidence to conclude that the population mean satisfaction scores differ for the two retailers.
(c)
Which retailer, if either, appears to have the greater customer satisfaction?
Supermarket 1 Supermarket 2 neither
Provide a 95% confidence interval for the difference between the population mean customer satisfaction scores for the two retailers. (Use x1 − x2.Round your answers to two decimal places.)
_______ to ________
In: Math
|
You are an executive in a large healthcare company with five lines of business. There are no economies of scope (this will be discussed in a future module). Those lines of business order services (accounting, information technology, and warehousing) from three "service divisions" of the company. You are given the following information for the revenues, direct costs (e.g., costs of production), and capital (e.g., value of the property, plant, and equipment) associated with these five lines of business, as well as the total variable costs from the three 'internal services' divisions. (You are ignoring fixed corporate overhead costs which will not change with a change in the size of the company.) All dollar amounts are in millions of dollars.
As an executive in this company you are concerned with the following: (1) the businesses have little incentive to reduce their request for services from the three service divisions; (2) the service divisions are unable to tie their requested budgets to the value of their services; and (3) some of the businesses may have low returns on capital and should be sold off. To initially address these issues you are imposing an internal pricing system, where each of the three service divisions charges the businesses for the services provided. The expected percentage allocation of the variable costs from each to service division to each business are given in the matrix below. Notice that the sum of any allocations from a service division sum to 1.0.
Use this information to allocate the service divsions' variable costs to the five businesses. Recalculate the return on capital for each of the five businesses. You will enter this information, to three decimal places, in Moodle. Suppose that the market rate of return for similarly risky investments is 14 percent. If you took the approach of Goizueta at Coca-Cola, which businesses should be sold? |
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In: Accounting
In: Accounting
It is estimated that amounts of money spent on gasoline by customers at a gas station in Bristol, Englands, follow a normal distribution with a standard deviation of £3,4. It is also found that 5% of all the customers spent more than £30. What percentage of customers spent less than £25? (explain with steps)
In: Statistics and Probability
In their attempt to leverage data on their users, firms are using a variety of techniques to best target their products/services to prospective customers. Such initiatives could impact the privacy of customers by being too intrusive. What can customers do about such intrusions? What can firms do to alleviate such concerns?
In: Computer Science