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

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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.

I need help with sketching, (d) and (e)

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 birth rate and B represents death rate per 1000 resident population. The data are paired by counties in the Midwest. A random sample of 16 counties gave the following information.
A:
12.7
13.2
12.6
12.3
11.6
11.1
14.2
15.1
B:
9.6
14.3
10.7
14.4
13.2
12.9
10.9
10.0
12.3
A:
B:
12.5
13.1
15.8
10.3
12.7
11.1
15.7
14.1
13.6
9.1
10.2
17.9
11.8
7.0
9.2
Do the data indicate a difference (either way) between population average birth rate and death rate in this region? Use a = 0.01. (Let d = A – B.)
(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; two-tailed
O Ho: Hd = 0; H:> 0; right-tailed
O Ho: H = 0; H,: H < 0; left-tailed
O Ho: H = 0; H,: Hg# 0; two-tailed
(b) What sampling distribution will you use? What assumptions are you making?
O The Student's t. We assume that d has an approximately uniform distribution.
O The Student's t. We assume that d has an approximately normal distribution.
O The standard normal. We assume that d has an approximately normal distribution.
O The standard normal. 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 Pp-value.
O P-value > 0.500
O 0.250 < P-value < 0.500
O 0.100 < p-value < 0.250
O 0.050 < P-value < 0.100
O 0.010 < P-value < 0.050
O P-value < 0.010
Transcribed Image Text: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 birth rate and B represents death rate per 1000 resident population. The data are paired by counties in the Midwest. A random sample of 16 counties gave the following information. A: 12.7 13.2 12.6 12.3 11.6 11.1 14.2 15.1 B: 9.6 14.3 10.7 14.4 13.2 12.9 10.9 10.0 12.3 A: B: 12.5 13.1 15.8 10.3 12.7 11.1 15.7 14.1 13.6 9.1 10.2 17.9 11.8 7.0 9.2 Do the data indicate a difference (either way) between population average birth rate and death rate in this region? Use a = 0.01. (Let d = A – B.) (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; two-tailed O Ho: Hd = 0; H:> 0; right-tailed O Ho: H = 0; H,: H < 0; left-tailed O Ho: H = 0; H,: Hg# 0; two-tailed (b) What sampling distribution will you use? What assumptions are you making? O The Student's t. We assume that d has an approximately uniform distribution. O The Student's t. We assume that d has an approximately normal distribution. O The standard normal. We assume that d has an approximately normal distribution. O The standard normal. 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 Pp-value. O P-value > 0.500 O 0.250 < P-value < 0.500 O 0.100 < p-value < 0.250 O 0.050 < P-value < 0.100 O 0.010 < P-value < 0.050 O P-value < 0.010
Sketch the sampling distribution and show the area corresponding to the P-value.
a
P-value
P-value
d
P-value
P-value
(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 = 0.01 level, we reject the null hypothesis and conclude the data are not statistically significant.
O At the a = 0.01 level, we reject the null hypothesis and conclude the data are statistically significant.
O At the a = 0.01 level, we fail to reject the null hypothesis and conclude the data are statistically significant.
O At the a = 0.01 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 average birth and death rates are different in this region.
O Reject the null hypothesis, there is sufficient evidence to claim that the average birth and death rates are different in this region.
O Fail to reject the null hypothesis, there is insufficient evidence to claim that the average birth and death rates are different in this region.
O Reject the null hypothesis, there is insufficient evidence to claim that the average birth and death rates are different in this region.
Transcribed Image Text:Sketch the sampling distribution and show the area corresponding to the P-value. a P-value P-value d P-value P-value (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 = 0.01 level, we reject the null hypothesis and conclude the data are not statistically significant. O At the a = 0.01 level, we reject the null hypothesis and conclude the data are statistically significant. O At the a = 0.01 level, we fail to reject the null hypothesis and conclude the data are statistically significant. O At the a = 0.01 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 average birth and death rates are different in this region. O Reject the null hypothesis, there is sufficient evidence to claim that the average birth and death rates are different in this region. O Fail to reject the null hypothesis, there is insufficient evidence to claim that the average birth and death rates are different in this region. O Reject the null hypothesis, there is insufficient evidence to claim that the average birth and death rates are different in this region.
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