gave the following information for people under 25 years of age.
x1: Rate of hay fever per 1000
population for people under 25
100 92 122 126 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
94 109 99 96 111 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 α =
0.05.
(a) What is the level of significance?
State the null and alternate hypotheses.
H0: μ1 = μ2;
H1: μ1 >
μ2H0: μ1 = μ2;
H1: μ1 <
μ2 H0:
μ1 = μ2; H1: μ1
≠ μ2H0: μ1 >
μ2; H1: μ1 =
μ2
(b) What sampling distribution will you use? What assumptions are you making?
The Student's t. We assume that both population
distributions are approximately normal with unknown standard
deviations.The standard normal. We assume that both population
distributions are approximately normal with unknown standard
deviations. The standard normal. We assume
that both population distributions are approximately normal with
known standard deviations.The Student's t. We assume that
both population distributions are approximately normal with known
standard deviations.
What is the value of the sample test statistic? (Test
the difference μ1 − μ2. Round your answer to
three decimal places.)
(c) Find (or estimate) the P-value.
P-value > 0.2500.125 < P-value
< 0.250 0.050 < P-value <
0.1250.025 < P-value < 0.0500.005 < P-value
< 0.025P-value < 0.005
Sketch the sampling distribution and show the area corresponding to the P-value.
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