A random sample of n₁ = 16 communities in western Kansas gave the following information for people under 25 years of age. x₁: Rate of hay fever per 1000 population for people under 25

98	92	121	128	91	123	112	93
125	95	125	117	97	122	127	88

A random sample of n₂ = 14 regions in western Kansas gave the following information for people over 50 years old. x₂: Rate of hay fever per 1000 population for people over 50

96	110	99	97	111	88	110
79	115	100	89	114	85	96

(i) Use a calculator to calculate x₁, s₁, x₂, and s₂. (Round your answers to two decimal places.)

x1
s1
x2
s2

(ii) Assume that the hay fever rate in each age group has an approximately normal distribution. Do the data indicate that the age group over 50 has a lower rate of hay fever? Use = 0.10.

(a) What is the level of significance?

(b) State the null and alternate hypotheses. choose one

1. (H₀: ₁ = ₂; H₁: ₁ > ₂₎2. (H₀: ₁ = ₂; H₁: ₁ < ₂₎ 3. (H₀: ₁ = ₂; H₁: _{1 2)}4. (H₀: ₁ > ₂; H₁: ₁ = ₂₎

(c) What sampling distribution will you use? What assumptions are you making? choose one 1. The standard normal. We assume that both population distributions are approximately normal with unknown standard deviations.2. The Student's t. We assume that both population distributions are approximately normal with unknown standard deviations.3. The Student's t. We assume that both population distributions are approximately normal with known standard deviations.4. The standard normal. We assume that both population distributions are approximately normal with known standard deviations. (d) What is the value of the sample test statistic? (Test the difference _{1 2}. 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 = 0.10 level, we fail to reject the null hypothesis and conclude the data are statistically significant. 2. At the = 0.10 level, we reject the null hypothesis and conclude the data are statistically significant. 3. At the = 0.10 level, we fail to reject the null hypothesis and conclude the data are not statistically significant. 4. At the = 0.10 level, we reject the null hypothesis and conclude the data are not statistically significant. (g) Interpret your conclusion in the context of the application. choose one 1. Fail to reject the null hypothesis, there is sufficient evidence that the mean rate of hay fever is lower for the age group over 50. 2. Reject the null hypothesis, there is sufficient evidence that the mean rate of hay fever is lower for the age group over 50. 3. Reject the null hypothesis, there is insufficient evidence that the mean rate of hay fever is lower for the age group over 50. 4. Fail to reject the null hypothesis, there is insufficient evidence that the mean rate of hay fever is lower for the age group over 50.