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 31 women in rural Quebec gave a
sample variance s2 = 2.3. 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.
(a) What is the level of significance?
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 normal population distribution.
We assume a exponential population distribution.
We assume a uniform population distribution.
We assume a binomial 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 within this interval.
We are 90% confident that σ2 lies below this interval.
We are 90% confident that σ2 lies above this interval.
We are 90% confident that σ2 lies outside this interval.
g) We are 90% confident that σ2 lies within this interval.
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