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For problems 9 and 10, a machine shop claims that the measurements of the parts it produces are uniform with a standard devia
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Answer #1

9.

The null and alternative hypothesis is ,

H_0:\sigma=1.3;H_a:\sigma\neq 1.3

The test is two-tailed test.

Now , df=degrees of freedom=n-1=31-1=30

The critical values are ,

\chi^2_{df,\alpha/2}=\chi^2_{30,0.10/2}=\chi^2_{30,0.05}=43.773 ; The Excel function is , =CHIINV(0.05,30)

\chi^2_{df,1-\alpha/2}=\chi^2_{30,1-0.10/2}=\chi^2_{30,0.95}=18.493 ; The Excel function is , =CHIINV(0.95,30)

Reject to Qo not Reject Ho reject Ho 2 an x na

10.

The test statistic is ,

\chi^2_{stat}=\frac{(n-1)s^2}{\sigma_0^2}=\frac{(31-1)1.8^2}{1.3^2}=57.5148

Decision : Here , the value of the test statistic lies in the rejection region.

Therefore , reject Ho.

Conclusion : Hence , the result is contradicts to the shopers claim at 10% significance level.

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