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 85.7 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 102 2 67.9 56.3 75 4 80 0 956 86 3 70 7 64.6 810 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 be r=0 95 Are the conditions for testing the hypothesis satisfied? V than the cntical value. In addition, a boxplot does not show any outliers AExpeted acore 2+ No, the conditions are not satisfied. The normal probability plot is not linear enough, since the correlation coefficient is greater less 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 01 First determine the appropriate hypotheses = 857 *85 7 Find the test statistic Click to select your answer(s).

Holt Mcdougal Larson Pre-algebra: Student Edition 2012
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ISBN:9780547587776
Author:HOLT MCDOUGAL
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Chapter11: Data Analysis And Probability
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 85.7 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.
102.2
80.0
67.9
95 6
56.3
86.3
75.4
70.7
64.6
81.0
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=0.993.
Are the conditions for testing the hypothesis satisfied?
No, the conditions are not satisfied. The normal probability plot is not linear enough, since the correlation coefficient is
than the critical value. In addition, a boxplot does not show any outliers.
AExpected z-score
2-
1-
greater
less
60 75 90 105
-1-
Time (sec)
(b) Is the new system effective? Conduct a hypothesis test using the P-value approach and a level of significance of a= 0.01.
First determine the appropriate hypotheses.
Ho
85.7
< 85.7
Find the test statistic.
Click to select your answer(s).
9:30 PM
10/24/2020
P Type here to search
PAUSE
INSERT
DELE
SCROLL
LOCK
PRT SCR
ECE CO
F12
F10
F11
F6
F7
F8
F9
BREAK
FS
SYS RO
F3
SC
田
P1
eCo
num
LOCK
BACKSPFACE
1
00
II
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 85.7 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. 102.2 80.0 67.9 95 6 56.3 86.3 75.4 70.7 64.6 81.0 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=0.993. Are the conditions for testing the hypothesis satisfied? No, the conditions are not satisfied. The normal probability plot is not linear enough, since the correlation coefficient is than the critical value. In addition, a boxplot does not show any outliers. AExpected z-score 2- 1- greater less 60 75 90 105 -1- Time (sec) (b) Is the new system effective? Conduct a hypothesis test using the P-value approach and a level of significance of a= 0.01. First determine the appropriate hypotheses. Ho 85.7 < 85.7 Find the test statistic. Click to select your answer(s). 9:30 PM 10/24/2020 P Type here to search PAUSE INSERT DELE SCROLL LOCK PRT SCR ECE CO F12 F10 F11 F6 F7 F8 F9 BREAK FS SYS RO F3 SC 田 P1 eCo num LOCK BACKSPFACE 1 00 II
less
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 85.7 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. Cor
parts (a) and (b) below.
Click the icon to view the table of correlation coefficient critical values.
Hy
<
85 7
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.)
Use the a = 0.01 level of significance. What can be concluded from the hypothesis test?
OA. The P-value is greater than the level of significance so there is not sufficient evidence to conclude the new system is effective.
OB. The P_value is less than the level of significance so there is sufficient evidence to conclude the new system is effective.
OC. The P-value is less than the level of significance so there is not sufficient evidence to conclude the new system is effective.
O D. The P-value is greater than the level of significance so there is sufficient evidence to conclude the new system is effective.
Click to select your answer(s).
e Type here to search
Transcribed Image Text:less 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 85.7 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. Cor parts (a) and (b) below. Click the icon to view the table of correlation coefficient critical values. Hy < 85 7 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.) Use the a = 0.01 level of significance. What can be concluded from the hypothesis test? OA. The P-value is greater than the level of significance so there is not sufficient evidence to conclude the new system is effective. OB. The P_value is less than the level of significance so there is sufficient evidence to conclude the new system is effective. OC. The P-value is less than the level of significance so there is not sufficient evidence to conclude the new system is effective. O D. The P-value is greater than the level of significance so there is sufficient evidence to conclude the new system is effective. Click to select your answer(s). e Type here to search
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