A random sample ofn₁= 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

100 92 120 130 93 123 112 93 125 95 125 117 97 122 127 88

A random sample ofn₂= 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

93 110 100 96 113 88 110 79 115 100 89 114 85 96

Use a calculator to calculatex₁,s₁,x₂, ands₂. (Round your answers to two decimal places.)

x₁=

s₁=

x₂=

s₂=

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= 0.05.

(a) What is the level of significance?

State the null and alternate hypotheses.

H₀:₁=₂;H₁:₁<₂

H₀:₁>₂;H₁:₁=₂

H₀:₁=₂;H₁:₁₂

H₀:₁=₂;H₁:₁>₂

b) What sampling distribution will you use? What assumptions are you making?

The Student'st. We assume that both population distributions are approximately normal with unknown standard deviations.

The Student'st. We assume that both population distributions are approximately normal with known standard deviations.

The standard normal. We assume that both population distributions are approximately normal with known standard deviations.

The standard normal. We assume that both population distributions are approximately normal with unknown standard deviations.

What is the value of the sample test statistic? (Test the difference₁₂. Round your answer to three decimal places.)

(c) Find (or estimate) theP-value.

P-value > 0.250

0.125 <P-value < 0.250

0.050 <P-value < 0.125

0.025 <P-value < 0.050

0.005 <P-value < 0.025

P-value < 0.005

(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?

At the= 0.05 level, we fail to reject the null hypothesis and conclude the data are statistically significant.

At the= 0.05 level, we reject the null hypothesis and conclude the data are statistically significant.

At the= 0.05 level, we reject the null hypothesis and conclude the data are not statistically significant.

At the= 0.05 level, we fail to reject the null hypothesis and conclude the data are not statistically significant.