At a large furniture and electrical​ store, customers usually find that the furniture on display is not held in stock. Rather than being immediately​ available, it must be sourced from manufacturers. In the sofa​ department, the average delivery time is expected to be six weeks after purchase. In order to test whether this target is​ accurate, the store records the delivery times​ (in days) taken for 50 sofa purchases. Complete parts​ (a) through​ (d).   LOADING... Click the icon to view the data table.       a. The supervisor claims that the mean number of days between receipt of the order and delivery of the sofa is 42 days or more. At the 0.05 level of​ significance, is there evidence that the claim is not true​ (that is, that the mean number of days is less than 42​)?   State the null and alternative hypotheses. Choose the correct answer below.     A. H0​: μ>42 H1​: μ<42   B. H0​: μ≠42 H1​: μ=42   C. H0​: μ≤42 H1​: μ>42   D. H0​: μ>42 H1​: μ≤42   E. H0​: μ≥42 H1​: μ<42   F. H0​: μ=42 H1​: μ≠42 Determine the test statistic.   The test statistic is enter your response here. ​(Round to two decimal places as​ needed.) Find the​ p-value.   ​p-value=enter your response here ​(Round to three decimal places as​ needed.) State the conclusion.   ▼   Do not reject Reject H0. There is ▼   insufficient sufficient evidence to conclude that the mean number of days is less than 42. b. What assumption about the population distribution is needed in order to conduct the t test in​ (a)?     A. The population distribution is approximately normal.   B. The population distribution is approximately uniform.   C. The population distribution is skewed left.   D. The population distribution is skewed right. c. Do you think that the assumption needed in​ (b) is seriously​ violated? Explain.   Construct a normal probability plot to evaluate the assumption made in​ (b). Choose the correct graph below.   A.       Normal probability plot 0-2.52.50175Z valueTime (in days)         x y graph   B.       Normal probability plot 0-2.52.50175Z valueTime (in days)         x y graph   C.       Normal probability plot 0-2.52.50175Z valueTime (in days)         x y graph Do you think that the assumption needed in​ (b) is seriously​ violated? Explain. Choose the correct answer below.     A. ​No, because the normal probability plot is a straight line.   B. ​No, because the normal probability plot is not a straight line.   C. ​Yes, because the normal probability plot is a straight line.   D. ​Yes, because the normal probability plot is a not straight line. d. What effect might your conclusion in​ (c) have on the validity of the results in​ (a)?     A. The population distribution is approximately​ normal, so the t test is valid.   B. The population distribution is not approximately​ normal, so the t test is not valid.   C. Although the normal probability plot is a straight​ line, the sample size is greater than​ 30, so the Central Limit Theorem applies and the results of the t test are still valid.   D. Although the normal probability plot is not a straight​ line, the sample size is greater than​ 30, so the Central Limit Theorem applies and the results of the t test are still valid.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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At a large furniture and electrical​ store, customers usually find that the furniture on display is not held in stock. Rather than being immediately​ available, it must be sourced from manufacturers. In the sofa​ department, the average delivery time is expected to be
six
weeks after purchase. In order to test whether this target is​ accurate, the store records the delivery times​ (in days) taken for
50
sofa purchases. Complete parts​ (a) through​ (d).
 
LOADING...
Click the icon to view the data table.
 
 
 
a. The supervisor claims that the mean number of days between receipt of the order and delivery of the sofa is
42
days or more. At the
0.05
level of​ significance, is there evidence that the claim is not true​ (that is, that the mean number of days is less than
42​)?
 
State the null and alternative hypotheses. Choose the correct answer below.
 
 
A.
H0​:
μ>42
H1​:
μ<42
 
B.
H0​:
μ≠42
H1​:
μ=42
 
C.
H0​:
μ≤42
H1​:
μ>42
 
D.
H0​:
μ>42
H1​:
μ≤42
 
E.
H0​:
μ≥42
H1​:
μ<42
 
F.
H0​:
μ=42
H1​:
μ≠42
Determine the test statistic.
 
The test statistic is
enter your response here.
​(Round to two decimal places as​ needed.)
Find the​ p-value.
 
​p-value=enter your response here
​(Round to three decimal places as​ needed.)
State the conclusion.
 
 
Do not reject
Reject
H0.
There is
 
insufficient
sufficient
evidence to conclude that the mean number of days is less than
42.
b. What assumption about the population distribution is needed in order to conduct the t test in​ (a)?
 
 
A.
The population distribution is approximately normal.
 
B.
The population distribution is approximately uniform.
 
C.
The population distribution is skewed left.
 
D.
The population distribution is skewed right.
c. Do you think that the assumption needed in​ (b) is seriously​ violated? Explain.
 
Construct a normal probability plot to evaluate the assumption made in​ (b). Choose the correct graph below.
 
A.
 
 
 
Normal probability plot
0-2.52.50175Z valueTime (in days)
 
  •  
  •  
  •  
x y graph
 
B.
 
 
 
Normal probability plot
0-2.52.50175Z valueTime (in days)
 
  •  
  •  
  •  
x y graph
 
C.
 
 
 
Normal probability plot
0-2.52.50175Z valueTime (in days)
 
  •  
  •  
  •  
x y graph
Do you think that the assumption needed in​ (b) is seriously​ violated? Explain. Choose the correct answer below.
 
 
A.
​No, because the normal probability plot is a straight line.
 
B.
​No, because the normal probability plot is not a straight line.
 
C.
​Yes, because the normal probability plot is a straight line.
 
D.
​Yes, because the normal probability plot is a not straight line.
d. What effect might your conclusion in​ (c) have on the validity of the results in​ (a)?
 
 
A.
The population distribution is approximately​ normal, so the t test is valid.
 
B.
The population distribution is not approximately​ normal, so the t test is not valid.
 
C.
Although the normal probability plot is a straight​ line, the sample size is greater than​ 30, so the Central Limit Theorem applies and the results of the t test are still valid.
 
D.
Although the normal probability plot is not a straight​ line, the sample size is greater than​ 30, so the Central Limit Theorem applies and the results of the t test are still valid.
Delivery times (in days)
102
59
51
33
40
30
84
128
29
30
85
2
17
8
77
130
101
103
30
89
95
23
17
10
7
24
8
106
36
31
25
24
3
17
19
19
17
16
28
60
39
24
37
25
28
38
60
Transcribed Image Text:Delivery times (in days) 102 59 51 33 40 30 84 128 29 30 85 2 17 8 77 130 101 103 30 89 95 23 17 10 7 24 8 106 36 31 25 24 3 17 19 19 17 16 28 60 39 24 37 25 28 38 60
c. Do you think that the assumption needed in (b) is seriously violated? Explain.
Construct a normal probability plot to evaluate the assumption made in (b). Choose the correct graph below.
O A.
В.
Normal probability
plot
Normal probability
plot
Normal probability
plot
Q
175-
175-
175-
0-
-2.5
0+
-2.5
2.5
-2.5
2.5
2.5
Z value
Z value
Z value
Do you think that the assumption needed in (b) is seriously violated? Explain. Choose the correct answer below.
Time (in days)
Time (in days)
Time (in days)
Fo
Transcribed Image Text:c. Do you think that the assumption needed in (b) is seriously violated? Explain. Construct a normal probability plot to evaluate the assumption made in (b). Choose the correct graph below. O A. В. Normal probability plot Normal probability plot Normal probability plot Q 175- 175- 175- 0- -2.5 0+ -2.5 2.5 -2.5 2.5 2.5 Z value Z value Z value Do you think that the assumption needed in (b) is seriously violated? Explain. Choose the correct answer below. Time (in days) Time (in days) Time (in days) Fo
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