A new kind of typhoid shot is being developed by a medicalresearch team. The old typhoid shot was known to protect thepopulation for a mean time of 36 months, with a standard deviationof 3 months. To test the time variability of the new shot, a randomsample of 21 people were given the new shot. Regular blood testsshowed that the sample standard deviation of protection times was1.3 months. Using a 0.05 level of significance, test the claim thatthe new typhoid shot has a smaller variance of protectiontimes.
(a) What is the level of significance?
State the null and alternate hypotheses.
Ho: σ2 = 9;H1: σ2 >9Ho: σ2 = 9;H1: σ2 <9    Ho:σ2 < 9; H1:σ2 = 9Ho:σ2 = 9; H1:σ2 ≠9
(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 uniform population distribution.We assume aexponential population distribution.    Weassume a binomial 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 that the new typhoid shot has a smaller variance ofprotection times.At the 5% level of significance, there issufficient evidence to conclude that the new typhoid shot has asmaller variance of protection times.   Â
(f) Find a 90% confidence interval for the population standarddeviation. (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 σ lies within thisinterval.We are 90% confident that σ lies below thisinterval.    We are 90% confident thatσ lies above this interval.We are 90% confident thatσ lies outside this interval.