In this problem, assume that the distribution of differences is approximately normal. Note: For degrees of freedom d.f. not in the Student's t table, use the closest d.f. that is smaller. In some situations, this choice of d.f. may increase the P-value by a small amount and therefore produce a slightly more "conservative" answer. In the following data pairs, A represents the cost of living index for utilities and B represents the cost of living index for transportation. The data are paired by metropolitan areas in the United States. A random sample of 46 metropolitan areas gave the following information.
Inverse Normal Distribution
The method used for finding the corresponding z-critical value in a normal distribution using the known probability is said to be an inverse normal distribution. The inverse normal distribution is a continuous probability distribution with a family of two parameters.
Mean, Median, Mode
It is a descriptive summary of a data set. It can be defined by using some of the measures. The central tendencies do not provide information regarding individual data from the dataset. However, they give a summary of the data set. The central tendency or measure of central tendency is a central or typical value for a probability distribution.
Z-Scores
A z-score is a unit of measurement used in statistics to describe the position of a raw score in terms of its distance from the mean, measured with reference to standard deviation from the mean. Z-scores are useful in statistics because they allow comparison between two scores that belong to different normal distributions.
In this problem, assume that the distribution of differences is approximately normal. Note: For degrees of freedom d.f. not in the Student's t table, use the closest d.f. that is smaller. In some situations, this choice of d.f. may increase the P-value by a small amount and therefore produce a slightly more "conservative" answer.
In the following data pairs, A represents the cost of living index for utilities and B represents the cost of living index for transportation. The data are paired by metropolitan areas in the United States. A random sample of 46 metropolitan areas gave the following information.
![Sketch the sampling distribution and show the area corresponding to the P-value.
b
a
O-4
O-4
-2
C
d
O-4
O-4
(d) Based on your answers in parts (a) to (c), will you reject or fail to reject the null hypothesis? Are the data statistically significant at level a?
O At the a = 0.05 level, we reject the null hypothesis and conclude the data are not statistically significant.
O At the a = 0.05 level, we fail to reject the null hypothesis and conclude the data are statistically significant.
O At the a = 0.05 level, we reject the null hypothesis and conclude the data are statistically significant.
O At the a = 0.05 level, we fail to reject the null hypothesis and conclude the data are not statistically significant.
(e) State your conclusion in the context of the application.
O Fail to reject the null hypothesis, there is sufficient evidence to claim that the mean cost of living index for utilities is less than that for transportation.
O Reject the null hypothesis, there is sufficient evidence to claim that the mean cost of living index for utilities is less than that for transportation.
O Reject the null hypothesis, there is insufficient evidence to claim that the mean cost of living index for utilities is less than that for transportation.
O Fail to reject the null hypothesis, there is insufficient evidence to claim that the mean cost of living index for utilities is less than that for transportation.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F343617eb-b43c-4b07-9155-8a65478c33b8%2Fb42a6d18-c127-4579-8691-2038f0985bca%2Frmcgii_processed.png&w=3840&q=75)
![In this problem, assume that the distribution of differences is approximately normal. Note: For degrees of freedom d.f. not in the Student's t table, use the closest d.f. that is smaller. In some situations, this choice of d.f. may increase the P-value by a small amount and therefore
produce a slightly more "conservative" answer.
In the following data pairs, A represents the cost of living index for utilities and B represents the cost of living index for transportation. The data are paired by metropolitan areas in the United States. A random sample of 46 metropolitan areas gave the following information.
A:
B:
90
85
84
104
83
100
89
125
107
100
89
105
103
109
109
94
115
114
A:
В:
118
133
104
84
80
77
90
92
90
106
95
110
112
105
93
119
99
109
A:
106
95
110
112
105
93
119
99
109
B:
96
109
103
107
103
102
101
86
94
A:
B:
109
113
100
90
121
120
85
91
91
97
88
104
119
116
104
121
108
86
90
96
Do the data indicate that the U.S. population mean cost of living index for utilities is less than that for transportation in these areas? Use a = 0.05. (Let d = A - B.)
A:
B:
95
115
99
86
88
106
80
108
87
100
83
103
94
125
115
100
127
(a) What is the level of significance?
State the null and alternate hypotheses. Will you use a left-tailed, right-tailed, or two-tailed test?
O Ho: Hd< 0; H: H= 0; left-tailed
O Ho: Hd = 0; H;: Hd> 0; right-tailed
O Ho: Hd = 0; H;: Hd < 0; left-tailed
O Ho: Hd = 0; H: Hd# 0; two-tailed
(b) What sampling distribution will you use? What assumptions are you making?
O The standard normal. We assume that d has an approximately uniform distribution.
O The standard normal. We assume that d has an approximately normal distribution.
O The Student's t. We assume that d has an approximately normal distribution.
O The Student's t. We assume that d has an approximately uniform distribution.
What is the value of the sample test statistic? (Round your answer to three decimal places.)
(c) Find (or estimate) the P-value.
O P-value > 0.250
O 0.125 < P-value < 0.250
O 0.050 < P-value < 0.125
O 0.025 < P-value < 0.050
O 0.005 < P-value < 0.025
O P-value < 0.005](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F343617eb-b43c-4b07-9155-8a65478c33b8%2Fb42a6d18-c127-4579-8691-2038f0985bca%2Fuh0db98_processed.png&w=3840&q=75)
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