You are the manager of a restaurant for a​ fast-food franchise. Last​ month, the mean waiting time at the​ drive-through window for branches in your geographical​ region, as measured from the time a customer places an order until the time the customer receives the​ order, was 3.7 minutes. You select a random sample of 64 orders. The sample mean waiting time is ​3.92 minutes, with a sample standard deviation of 0.8 minute. At the 0.01 level of​ significance, is there evidence that the population mean waiting time is different from 3.7 ​minutes? State the null and alternative hypotheses. ​H0:µ ▼    enter your response here ​H1: µ ▼ not equals less than or equals greater than or equals greater than less than equals    enter your response here ​(Type integers or​ decimals.) Part 2 Determine the test statistic. The test statistic is    enter your response here. ​(Round to two decimal places as​ needed.) Part 3 Find the​ p-value. ​ p-value =   enter your response here ​(Round to three decimal places as​ needed.) Part 4 State the conclusion. ▼ Do not reject Reject H0 . There is ▼ sufficient insufficient evidence to conclude that the population mean waiting time is different from 3.7 minutes. Part 5  b. Because the sample size is ​, do you need to be concerned about the shape of the population distribution when conducting the t test in​ (a)? Explain. Choose the correct answer below. A. ​No, because n is equal to ​, the sampling distribution of the t test is approximately normal. In​ general, the t test is appropriate for this sample size unless the population is skewed. B. ​No, because n is equal to ​, the sampling distribution of the t test is approximately normal. In​ general, the t test is appropriate for a large sample size. C. ​Yes, because n is equal to ​, the sampling distribution of the t test cannot be determined. In​ general, the t test is only appropriate for a normally distributed sample. D. ​Yes, because n is equal to ​, the sampling distribution of the t test cannot be determined. In​ general, the t test requires a larger sample size.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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You are the manager of a restaurant for a​ fast-food franchise. Last​ month, the mean waiting time at the​ drive-through window for branches in your geographical​ region, as measured from the time a customer places an order until the time the customer receives the​ order, was 3.7 minutes. You select a random sample of 64 orders. The sample mean waiting time is ​3.92 minutes, with a sample standard deviation of 0.8 minute.

At the 0.01 level of​ significance, is there evidence that the population mean waiting time is different from 3.7 ​minutes? State the null and alternative hypotheses. ​H0:µ ▼    enter your response here ​H1: µ ▼ not equals less than or equals greater than or equals greater than less than equals    enter your response here ​(Type integers or​ decimals.)

Part 2 Determine the test statistic.

The test statistic is    enter your response here. ​(Round to two decimal places as​ needed.)

Part 3 Find the​ p-value. ​

p-value =   enter your response here ​(Round to three decimal places as​ needed.)

Part 4 State the conclusion. ▼ Do not reject Reject H0 . There is ▼ sufficient insufficient evidence to conclude that the population mean waiting time is different from 3.7 minutes.

Part 5  b. Because the sample size is ​, do you need to be concerned about the shape of the population distribution when conducting the t test in​ (a)? Explain. Choose the correct answer below.

A. ​No, because n is equal to ​, the sampling distribution of the t test is approximately normal. In​ general, the t test is appropriate for this sample size unless the population is skewed.

B. ​No, because n is equal to ​, the sampling distribution of the t test is approximately normal. In​ general, the t test is appropriate for a large sample size.

C. ​Yes, because n is equal to ​, the sampling distribution of the t test cannot be determined. In​ general, the t test is only appropriate for a normally distributed sample.

D. ​Yes, because n is equal to ​, the sampling distribution of the t test cannot be determined. In​ general, the t test requires a larger sample size.

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