Question

In: Statistics and Probability

A market research firm has been hired to investigate the variability of retail pricing on an...

A market research firm has been hired to investigate the variability of retail pricing on an item that is sold in stores in Los Angeles and in San Diego. They gather data from a sample of 21 stores in Los Angeles and 16 stores in San Diego. The sample standard deviations (s) of the sales prices are Los Angeles stores = $12 and San Diego Stores = $14. Determine whether the price variation in these two cities is the same. Use .10 for the level of significance.

Solutions

Expert Solution

The provided sample variances are

s1 = 12 and s_1^2 = 144

s2 = 14 and s_2^2 = 196

and the sample sizes are given by n1​=21 and n2​=16.

(1) Null and Alternative Hypotheses

The following null and alternative hypotheses need to be tested:

This corresponds to a two-tailed test, for which an F-test for two population variances needs to be used.

(2) Rejection Region

Based on the information provided, the significance level is α=0.10, and the rejection region for this two-tailed test is

R={ F : F < 0.454 or F > 2.328}.

(3) Test Statistics

The F-statistic is computed as follows:

(4) Decision about the null hypothesis

Since from the sample information we get that

FL​= 0.454 <  F = 0.735 < FU = 2.328,

it is then concluded that the null hypothesis is not rejected.

(5) Conclusion

It is concluded that the null hypothesis Ho is not rejected.

Therefore, there is not enough evidence to claim that the population variance ​ is different than the population variance ​, at the α=0.10 significance level.

Confidence Interval

The 90% confidence interval for    is:

Please like


Related Solutions

1. Suppose you have been hired by a research firm trying to understand the market for...
1. Suppose you have been hired by a research firm trying to understand the market for Widgets (a hypothetical product). Your analysis of the data indicates that the Demand curve for Widgets is estimated to be linear and given by equation Qd = 100 – 2P and the Supply curve for Widgets appears to be linear as well and is estimated as Qs = 2P – 20. Graphically draw these two curves, labeling all relevant points (such as intercepts for...
A market research firm is hired to perform a survey and analyze the true proportion of...
A market research firm is hired to perform a survey and analyze the true proportion of the households with pets. How many households should they survey in order to be 90% confident that the estimated (sample) proportion is within two percentage points of the true population? Assume that pq = 0.25
Suppose that a market research firm is hired to estimate the percent of adults living in...
Suppose that a market research firm is hired to estimate the percent of adults living in a large city who have cell phones. 500 randomly selected adult residents in this city are surveyed, 481 responded yes, they own cell phones. Find a 92% confidence interval for the true proportion of adults residents in this city who have a cell phone. Then give a complete confidence statement. Round only the last calculation (both endpoints of the interval) to two decimal places
a market research firm is hired to estimate the percentage of adults living in a large...
a market research firm is hired to estimate the percentage of adults living in a large city who have cell phones. Five hundred randomly selected adults are surveyed to determine whether they have cell phones. Of the 500 people surveyed, 421 responded yes-they own cell phones which interval below is closest to the 95% confidence interval.
A market research firm supplies manufacturers with estimates of the retail sales of their products from samples of retail stores.
A market research firm supplies manufacturers with estimates of the retail sales of their products from samples of retail stores. Marketing managers are prone to look at the estimate and ignore sampling error. An SRS of 29 stores this year shows mean sales of 74 units of a small appliance, with a standard deviation of 12.2 units. During the same point in time last year, an SRS of 26 stores had mean sales of 62.166 units, with standard deviation 15.2...
(1 point) A market research firm supplies manufacturers with estimates of the retail sales of their...
(1 point) A market research firm supplies manufacturers with estimates of the retail sales of their products from samples of retail stores. Marketing managers are prone to look at the estimate and ignore sampling error. An SRS of 1414 stores this year shows mean sales of 8383 units of a small appliance, with a standard deviation of 7.67.6 units. During the same point in time last year, an SRS of 2424 stores had mean sales of75.62875.628 units, with standard deviation...
A market research firm supplies manufacturers with estimates of the retail sales of their products from...
A market research firm supplies manufacturers with estimates of the retail sales of their products from samples of retail stores. Marketing managers are prone to look at the estimate and ignore sampling error. An SRS of 16 stores this year shows mean sales of 64 units of a small appliance, with a standard deviation of 14.6 units. During the same point in time last year, an SRS of 10 stores had mean sales of 49.254 units, with standard deviation 5.4...
A market research firm supplies manufacturers with estimates of the retail sales of their products from...
A market research firm supplies manufacturers with estimates of the retail sales of their products from samples of retail stores. Marketing managers are prone to look at the estimate and ignore sampling error. An SRS of 29 stores this year shows mean sales of 61 units of a small appliance, with a standard deviation of 6.2 units. During the same point in time last year, an SRS of 17 stores had mean sales of 53.994 units, with standard deviation 7.7...
(1 point) A market research firm supplies manufacturers with estimates of the retail sales of their...
(1 point) A market research firm supplies manufacturers with estimates of the retail sales of their products from samples of retail stores. Marketing managers are prone to look at the estimate and ignore sampling error. An SRS of 1414 stores this year shows mean sales of 7171 units of a small appliance, with a standard deviation of 8.28.2 units. During the same point in time last year, an SRS of 1515 stores had mean sales of 78.62678.626 units, with standard...
A market research firm supplies manufacturers with estimates of the retail sales of their products from...
A market research firm supplies manufacturers with estimates of the retail sales of their products from samples of retail stores. Marketing managers are prone to look at the estimate and ignore sampling error. An SRS of 25 stores this year shows mean sales of 83 units of a small appliance, with a standard deviation of 13.6 units. During the same point in time last year, an SRS of 14 stores had mean sales of 68.176 units, with standard deviation 3.4...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT