Let x = age in years of a rural Quebec woman at the
time of her first marriage. In the year 1941, the population
variance of x was approximately σ2 =
5.1. Suppose a recent study of age at first marriage for a random
sample of 51 women in rural Quebec gave a sample variance
s2 = 3.1. Use a 5% level of significance to
test the claim that the current variance is less than 5.1. Find a
90% confidence interval for the population variance.
State the null and alternate hypotheses.
Ho: σ2 = 5.1; H1: σ2 > 5.1
Ho: σ2 = 5.1; H1: σ2 < 5.1
Ho: σ2 < 5.1; H1: σ2 = 5.1
Ho: σ2 = 5.1; H1: σ2 ≠ 5.1
(b) Find the value of the chi-square statistic for the sample.
(Round your answer to two decimal places.)
What are the degrees of freedom?
What assumptions are you making about the original
distribution?
We assume a binomial population distribution.
We assume a uniform population distribution.
We assume a exponential population distribution.
We assume a normal population distribution.
(c) Find or estimate the P-value of the sample test
statistic.
P-value > 0.100
0.050 < P-value < 0.100
0.025 < P-value < 0.050
0.010 < P-value < 0.025
0.005 < P-value < 0.010
P-value < 0.005
(d) Based on your answers in parts (a) to (c), will you reject or
fail to reject the null hypothesis?
Since the P-value > α, we fail to reject the null hypothesis.
Since the P-value > α, we reject the null hypothesis.
Since the P-value ≤ α, we reject the null hypothesis.
Since the P-value ≤ α, we fail to reject the null hypothesis.
(e) Interpret your conclusion in the context of the
application.
At the 5% level of significance, there is insufficient evidence to conclude that the variance of age at first marriage is less than 5.1.
At the 5% level of significance, there is sufficient evidence to conclude that the that the variance of age at first marriage is less than 5.1.
(f) Find the requested confidence interval for the population
variance. (Round your answers to two decimal places.)
lower limit | |
upper limit |
Interpret the results in the context of the application.
We are 90% confident that σ2 lies outside this interval.
We are 90% confident that σ2 lies within this interval.
We are 90% confident that σ2 lies below this interval.
We are 90% confident that σ2 lies above this interval.
a)
Ho: σ2 = 5.1; H1: σ2 < 5.1
b)
value of the chi-square statistic =(n-1)*(s2/σ2 )=(51-1)*(3.1/5.1)=30.39
degrees of freedom =50
We assume a normal population distribution.
c)
0.010 < P-value < 0.025
Since the P-value ≤ α, we reject the null hypothesis.
e)
At the 5% level of significance, there is sufficient evidence to conclude that the that the variance of age at first marriage is less than 5.1.
f)
lower limit =2.30
upper limit =4.46
We are 90% confident that σ2 lies within this interval.
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