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The mean waiting time at the drive-through of a fast-food restaurant from the time an order is placed to the time the order is received is 87.6 seconds. A manager devises a new drive-through system that she believes will decrease wait time. As a test, she initiates the new system at her restaurant and measures the wait time for 10 randomly selected orders. The wait times are provided in the table to the right. Complete parts (a) and (b) below. 108.4 79.9 67.9 93.8 85.7 69.9 58.4 76.0 65.2 84.8 E Click the icon to view the table of correlation coefficient critical values. (a) Because the sample size is small, the manager must verify that the wait time is normally distributed and the sample does not contain any outliers. The normal probability plot is shown below and the sample correlation coefficient is known to r=0.982. Are the conditions for testing the hypothesis satisfied? V the conditions V satisfied. The normal probability plot V linear enough, since the correlation coefficient is | than the critical value. In addition, a boxplot does not show any outliers. AExpected 2-score 2- 1- 0- eo75 90 305 Time (sec) (b) Is the new system effective? Conduct a hypothesis test using the P-value approach and a level of significance of a = 0.05. First determine the appropriate hypotheses. Họ: V87.6 H,: V |87.6 Find the test statistic. to =0 (Round to two decimal places as needed.) Find the P-value. The P-value is (Round to three decimal places as needed.)

The mean waiting time at the drive-through of a fast-food restaurant from the time an order is placed to the time the order is received is 87.6 seconds. A manager devises a new drive-through system that she believes will decrease wait time. As a test, she initiates the new system at her restaurant and measures the wait time for 10 randomly selected orders. The wait times are provided in the table to the right. Complete parts (a) and (b) below. 108.4 79.9 67.9 93.8 85.7 69.9 58.4 76.0 65.2 84.8 E Click the icon to view the table of correlation coefficient critical values. (a) Because the sample size is small, the manager must verify that the wait time is normally distributed and the sample does not contain any outliers. The normal probability plot is shown below and the sample correlation coefficient is known to r=0.982. Are the conditions for testing the hypothesis satisfied? V the conditions V satisfied. The normal probability plot V linear enough, since the correlation coefficient is | than the critical value. In addition, a boxplot does not show any outliers. AExpected 2-score 2- 1- 0- eo75 90 305 Time (sec) (b) Is the new system effective? Conduct a hypothesis test using the P-value approach and a level of significance of a = 0.05. First determine the appropriate hypotheses. Họ: V87.6 H,: V |87.6 Find the test statistic. to =0 (Round to two decimal places as needed.) Find the P-value. The P-value is (Round to three decimal places as needed.)

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
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The mean waiting time at the​ drive-through of a​ fast-food restaurant from the time an order is placed to the time the order is received is
87.6
seconds. A manager devises a new​ drive-through system that
she
believes will decrease wait time. As a​ test,
she
initiates the new system at
her
restaurant and measures the wait time for
10
randomly selected orders. The wait times are provided in the table to the right. Complete parts​ (a) and​ (b) below.
The mean waiting time at the drive-through of a fast-food restaurant from the time an order is placed to the time the order is received is 87.6 seconds. A manager devises a new drive-through system that she believes will decrease wait time. As a test, she initiates the new system at her restaurant and measures the wait time for 10 randomly selected orders. The wait times are provided in the table to the right. Complete parts (a) and (b) below. 108.4 79.9 67.9 93.8 58.4 85.7 76.0 69.9 65.2 84.8 Click the icon to view the table of correlation coefficient critical values. (a) Because the sample size is small, the manager must verify that the wait time is normally distributed and the sample does not contain any outliers. The normal probability plot is shown below and the sample correlation coefficient is known to be r= 0.982. Are the conditions for testing the hypothesis satisfied? satisfied. The normal probability plot than the critical value. In addition, a boxplot does not show any outliers. AExpected Z-score 2- the conditions linear enough, since the correlation coefficient is 1 0- 60 75 90 105 -1- -2- Time (sec) (b) Is the new system effective? Conduct a hypothesis test using the P-value approach and a level of significance of a = 0.05. First determine the appropriate hypotheses. Ho: 87.6 H4: 87.6 Find the test statistic. to = (Round to two decimal places as needed.) Find the P-value. The P-value is (Round to three decimal places as needed.)
Transcribed Image Text:The mean waiting time at the drive-through of a fast-food restaurant from the time an order is placed to the time the order is received is 87.6 seconds. A manager devises a new drive-through system that she believes will decrease wait time. As a test, she initiates the new system at her restaurant and measures the wait time for 10 randomly selected orders. The wait times are provided in the table to the right. Complete parts (a) and (b) below. 108.4 79.9 67.9 93.8 58.4 85.7 76.0 69.9 65.2 84.8 Click the icon to view the table of correlation coefficient critical values. (a) Because the sample size is small, the manager must verify that the wait time is normally distributed and the sample does not contain any outliers. The normal probability plot is shown below and the sample correlation coefficient is known to be r= 0.982. Are the conditions for testing the hypothesis satisfied? satisfied. The normal probability plot than the critical value. In addition, a boxplot does not show any outliers. AExpected Z-score 2- the conditions linear enough, since the correlation coefficient is 1 0- 60 75 90 105 -1- -2- Time (sec) (b) Is the new system effective? Conduct a hypothesis test using the P-value approach and a level of significance of a = 0.05. First determine the appropriate hypotheses. Ho: 87.6 H4: 87.6 Find the test statistic. to = (Round to two decimal places as needed.) Find the P-value. The P-value is (Round to three decimal places as needed.)
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