Let x represent the number of mountain climbers killedeach year. The long-term variance of x is approximatelyσ² = 136.2. Suppose that for the past 9 years,the variance has been s² = 113.4. Use a 1%level of significance to test the claim that the recent variancefor number of mountain-climber deaths is less than 136.2. Find a90% confidence interval for the population variance.

(a) What is the level of significance?


State the null and alternate hypotheses.

H_o: σ² = 136.2;H₁: σ² ≠ 136.2

H_o: σ² = 136.2;H₁: σ² <136.2    

H_o: σ² = 136.2;H₁: σ² > 136.2

H_o: σ² < 136.2;H₁: σ² = 136.2

(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 exponential population distribution.

We assume a normal populationdistribution.    

We assume a binomial population distribution.

We assume a uniform population distribution.

(c) Find or estimate the P-value of the sample teststatistic.

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 orfail to reject the null hypothesis?

Since the P-value > α, we fail to rejectthe null hypothesis.

Since the P-value > α, we reject the nullhypothesis.    

Since the P-value ≤ α, we reject the nullhypothesis.

Since the P-value ≤ α, we fail to reject thenull hypothesis.

(e) Interpret your conclusion in the context of theapplication.

At the 1% level of significance, there is insufficient evidenceto conclude that the variance for number of mountain climber deathsis less than 136.2

At the 1% level of significance, there is sufficient evidence toconclude that the variance for number of mountain climber deaths isless than 136.2    

(f) Find the requested confidence interval for the populationvariance. (Round your answers to two decimal places.)

lower limit
upper limit   Â

Interpret the results in the context of the application.

We are 90% confident that σ² lies outsidethis interval.

We are 90% confident that σ² lies above thisinterval.    

We are 90% confident that σ² lies below thisinterval.

We are 90% confident that σ² lies withinthis interval.