17 In this problem, assume that the distribution of differences is approximately normal. Note: For degrees of freedom d.f. not in the Student's ttable, 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. Suppose that at five weather stations on Trail Ridge Road in Rocky Mountain National Park, the peak wind gusts (in miles per hour) for January and April are recorded below. Wilderness District 3 131 January April 108 USE SALT 1 31 131 95 2 134 111 4 5 64 78 88 61 Does this information indicate that the peak wind gusts are higher in January than in April? Use x = 0.01. Solve the problem using the critical region method of testing. (Let d= January - April. Round your answers to three decimal places.) test statistic critical value= Interpret your conclusion in the context of the application. Reject the null hypothesis, there is sufficient evidence to claim average peak wind gusts are higher in January Fail to reject the null hypothesis, there is insufficient evidence to claim average peak wind gusts are higher in January. Reject the null hypothesis, there is insufficient evidence to claim average peak wind gusts are higher in January Fail to reject the null hypothesis, there is sufficient evidence to claim average peak wind gusts are higher in January. Compare your conclusion with the conclusion obtained by using the P-value method. Are they the same? We reject the null hypothesis using the P-value method, but fail to reject using the critical region method. We reject the null hypothesis using the critical region method, but fail to reject using the P-value

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17
In this problem, assume that the distribution of differences is approximately normal. Note: For degrees of
freedom d.f. not in the Student's ttable, 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.
Suppose that at five weather stations on Trail Ridge Road in Rocky Mountain National Park, the peak wind
gusts (in miles per hour) for January and April are recorded below.
Wilderness District
2
3
4
5
134
131
64
78
January
April
111
108 88
61
USE SALT
1
131
95
Does this information indicate that the peak wind gusts are higher in January than in April? Use a =
0.01. Solve the problem using the critical region method of testing. (Let d= January - April. Round your
answers to three decimal places.)
test statistic =
critical value=
Interpret your conclusion in the context of the application.
Reject the null hypothesis, there is sufficient evidence to claim average peak wind gusts are higher in
January. Fail to reject the null hypothesis, there is insufficient evidence to claim average peak wind
gusts are higher in January. Reject the null hypothesis, there is insufficient evidence to claim
average peak wind gusts are higher in January. Fail to reject the null hypothesis, there is sufficient
evidence to claim average peak wind gusts are higher in January.
Compare your conclusion with the conclusion obtained by using the P-value method. Are they the same?
We reject the null hypothesis using the P-value method, but fail to reject using the critical region method.
We reject the null hypothesis using the critical region method, but fail to reject using the P-value
method. The conclusions obtained by using both methods are the same.
Transcribed Image Text:17 In this problem, assume that the distribution of differences is approximately normal. Note: For degrees of freedom d.f. not in the Student's ttable, 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. Suppose that at five weather stations on Trail Ridge Road in Rocky Mountain National Park, the peak wind gusts (in miles per hour) for January and April are recorded below. Wilderness District 2 3 4 5 134 131 64 78 January April 111 108 88 61 USE SALT 1 131 95 Does this information indicate that the peak wind gusts are higher in January than in April? Use a = 0.01. Solve the problem using the critical region method of testing. (Let d= January - April. Round your answers to three decimal places.) test statistic = critical value= Interpret your conclusion in the context of the application. Reject the null hypothesis, there is sufficient evidence to claim average peak wind gusts are higher in January. Fail to reject the null hypothesis, there is insufficient evidence to claim average peak wind gusts are higher in January. Reject the null hypothesis, there is insufficient evidence to claim average peak wind gusts are higher in January. Fail to reject the null hypothesis, there is sufficient evidence to claim average peak wind gusts are higher in January. Compare your conclusion with the conclusion obtained by using the P-value method. Are they the same? We reject the null hypothesis using the P-value method, but fail to reject using the critical region method. We reject the null hypothesis using the critical region method, but fail to reject using the P-value method. The conclusions obtained by using both methods are the same.
4
A random sample of m= 10 regions in New England gave the following violent crime rates (per million
population).
X₁: New England Crime Rate
3.3 3.9 4.2 4.1 3.3 4.1
1.8 4.8 2.9 3.1
Another random sample of m2 = 12 regions in the Rocky Mountain states gave the following violent crime
rates (per million population).
X2: Rocky Mountain Crime Rate
3.5 4.1 4.7 5.5 3.3 4.8 3.5 2.4 3.1 3.5 5.2 2.8
USE SALT
Assume that the crime rate distribution is approximately normal in both regions. Do the data indicate that
the violent crime rate in the Rocky Mountain region is higher than in New England? Use x = 0.01. Solve
the problem using both the traditional method and the P-value method. (Test the difference μ 1-μ2.
Round the test statistic and critical value to three decimal places.)
test statistic
critical value
Find (or estimate) the P-value.
P-value > 0.250 0.125 < P-value < 0.250
0.005 < P-value < 0.025 P-value < 0.005
0.050 P-value < 0.125 0.025 < P-value < 0.050
Conclusion
Fail to reject the null hypothesis, there is sufficient evidence that violent crime in the Rocky Mountain
region is higher than in New England. Reject the null hypothesis, there is sufficient evidence that
violent crime in the Rocky Mountain region is higher than in New England. Fail to reject the null
hypothesis, there is insufficient evidence that violent crime in the Rocky Mountain region is higher than in
New England. Reject the null hypothesis, there is insufficient evidence that violent crime in the Rocky
Mountain region is higher than in New England.
Compare your conclusion with the conclusion obtained by using the P-value method. Are they the same?
The conclusions obtained by using both methods are the same. We reject the null hypothesis using
the traditional method, but fail to reject using the P-value method. These two methods differ slightly.
We reject the null hypothesis using the P-value method, but fail to reject using the traditional method.
Transcribed Image Text:4 A random sample of m= 10 regions in New England gave the following violent crime rates (per million population). X₁: New England Crime Rate 3.3 3.9 4.2 4.1 3.3 4.1 1.8 4.8 2.9 3.1 Another random sample of m2 = 12 regions in the Rocky Mountain states gave the following violent crime rates (per million population). X2: Rocky Mountain Crime Rate 3.5 4.1 4.7 5.5 3.3 4.8 3.5 2.4 3.1 3.5 5.2 2.8 USE SALT Assume that the crime rate distribution is approximately normal in both regions. Do the data indicate that the violent crime rate in the Rocky Mountain region is higher than in New England? Use x = 0.01. Solve the problem using both the traditional method and the P-value method. (Test the difference μ 1-μ2. Round the test statistic and critical value to three decimal places.) test statistic critical value Find (or estimate) the P-value. P-value > 0.250 0.125 < P-value < 0.250 0.005 < P-value < 0.025 P-value < 0.005 0.050 P-value < 0.125 0.025 < P-value < 0.050 Conclusion Fail to reject the null hypothesis, there is sufficient evidence that violent crime in the Rocky Mountain region is higher than in New England. Reject the null hypothesis, there is sufficient evidence that violent crime in the Rocky Mountain region is higher than in New England. Fail to reject the null hypothesis, there is insufficient evidence that violent crime in the Rocky Mountain region is higher than in New England. Reject the null hypothesis, there is insufficient evidence that violent crime in the Rocky Mountain region is higher than in New England. Compare your conclusion with the conclusion obtained by using the P-value method. Are they the same? The conclusions obtained by using both methods are the same. We reject the null hypothesis using the traditional method, but fail to reject using the P-value method. These two methods differ slightly. We reject the null hypothesis using the P-value method, but fail to reject using the traditional method.
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