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.

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.

Weather Station	1	2	3	4	5
January	127	122	133	64	78
April	98	100	96	88	61

Does this information indicate that the peak wind gusts are higher in January than in April? Use = 0.01. (Let d = January April.)

(a) What is the level of significance?

(b) State the null and alternate hypotheses. Will you use a left-tailed, right-tailed, or two-tailed test? choose one answer

1. (H₀: _d = 0; H₁: _d < 0; left-tailed)2. (H₀: _d = 0; H₁: _d 0; two-tailed)3. (H₀: _d = 0; H₁: _d > 0; right-tailed)4. (H₀: _d > 0; H₁: _d = 0; right-tailed)

(c) What sampling distribution will you use? What assumptions are you making? choose one

1. The standard normal. We assume that d has an approximately normal distribution.2. The Student's t. We assume that d has an approximately normal distribution.3. The standard normal. We assume that d has an approximately uniform distribution.4. The Student's t. We assume that d has an approximately uniform distribution.

(d) What is the value of the sample test statistic? (Round your answer to three decimal places.)

(e) Find (or estimate) the P-value. (Round your answer to four decimal places.)

(f) 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 ? choose one 1. At the = 0.01 level, we fail to reject the null hypothesis and conclude the data are not statistically significant. 2. At the = 0.01 level, we reject the null hypothesis and conclude the data are statistically significant. 3. At the = 0.01 level, we fail to reject the null hypothesis and conclude the data are statistically significant. 4. At the = 0.01 level, we reject the null hypothesis and conclude the data are not statistically significant. (g) State your conclusion in the context of the application. choose one 1. Reject the null hypothesis, there is insufficient evidence to claim average peak wind gusts are higher in January. 2. Fail to reject the null hypothesis, there is insufficient evidence to claim average peak wind gusts are higher in January. 3. Fail to reject the null hypothesis, there is sufficient evidence to claim average peak wind gusts are higher in January. 4. Reject the null hypothesis, there is sufficient evidence to claim average peak wind gusts are higher in January