In: Statistics and Probability
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 = 3.0. 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.
1.) Find the requested confidence interval for the population variance. (Round your answers to two decimal places.)
lower limit | |
upper limit |
2.) Interpret the results in the context of the application.
We are 90% confident that σ2 lies below this interval.
We are 90% confident that σ2 lies within this interval.
We are 90% confident that σ2 lies above this interval.
We are 90% confident that σ2 lies outside this interval
To Test :-
H0 :- σ2 = 5.1
H1 :- σ2 < 5.1
Test Statistic :-
Test Criteria :-
Reject null hypothesis if
= 17.6471 < 18.493 , hence we reject the null hypothesis
Conclusion :- We Reject H0
Decision based on P value
P value = P ( > 17.6471 )
P value = 0.964
Reject null hypothesis if P value < level of significance
Since P value = 0.964 > 0.05, hence we fail to reject the null hypothesis
Conclusion :- We Fail to Reject H0
There is insufficient evidence to support the claim that the current variance is less than 5.1 at 5% level of significance.
Lower Limit =
Upper Limit =
90% Confidence interval is ( 2.06 , 4.87 )
( 2.06 < σ2 < 4.87 )
2.) Interpret the results in the context of the application.
We are 90% confident that σ2 lies within this interval ( 2.06 < σ2 < 4.87 )