Let x represent the average annual salary of collegeand university professors (in thousands of dollars) in the UnitedStates. For all colleges and universities in the United States, thepopulation variance of x is approximatelyσ2 = 47.1. However, a random sample of 16colleges and universities in Kansas showed that x has asample variance s2 = 79.1. Use a 5% level ofsignificance to test the claim that the variance for colleges anduniversities in Kansas is greater than 47.1. Find a 95% confidenceinterval for the population variance.
(a) What is the level of significance?
State the null and alternate hypotheses.
Ho: σ2 = 47.1;H1: σ2 <47.1Ho: σ2 < 47.1;H1: σ2 =47.1    Ho:σ2 = 47.1; H1:σ2 ≠47.1Ho:σ2 = 47.1; H1:σ2 > 47.1
(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 originaldistribution?
We assume a binomial population distribution.We assume aexponential population distribution.    Weassume a uniform population distribution.We assume a normalpopulation distribution.
(c) Find or estimate the P-value of the sample teststatistic.
P-value > 0.1000.050 < P-value <0.100Â Â Â Â 0.025 < P-value <0.0500.010 < P-value < 0.0250.005 <P-value < 0.010P-value < 0.005
(d) Based on your answers in parts (a) to (c), will you reject orfail to reject the null hypothesis?
Since the P-value > α, we fail to rejectthe null hypothesis.Since the P-value > α, wereject the null hypothesis.    Since theP-value ≤ α, we reject the null hypothesis.Sincethe P-value ≤ α, we fail to reject the nullhypothesis.
(e) Interpret your conclusion in the context of theapplication.
At the 5% level of significance, there is insufficient evidenceto conclude the variance of annual salaries is greater in Kansas.Atthe 5% level of significance, there is sufficient evidence toconclude the variance of annual salaries is greater inKansas.   Â
(f) Find the requested confidence interval for the populationvariance. (Round your answers to two decimal places.)
lower limit | |
upper limit    | |
Interpret the results in the context of the application.
We are 95% confident that σ2 lies above thisinterval.We are 95% confident that σ2 liesoutside this interval.    We are 95% confidentthat σ2 lies below this interval.We are 95%confident that σ2 lies within thisinterval.