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Experience in investigating insurance claims shows that the average cost to process a claim is approximately normally distributed with a mean of \$80. New cost-cutting measures were started and a sample of 25 claims was tested. The sample mean of the costs to process these claims was %76 and the sample standard deviation of the costs was \$10. We would like to test whether the cost-cutting measures seem to be working at the 5% significance level.
A. State the null and alternative hypotheses for this test.
B. find the critical value for this test.
C. Calculate the test statistic.
D. Should we reject or fail to reject the null hypothesis?

H0: µ = 80 -->null hypothesis
H1: µ < 80 -->alternative hypothesis

Critical value for a one-tailed test (the alternative hypothesis shows a specific direction) can be found using a z-table at .05 level of significance.

Calculate the test statistic using a one-sample z-test.

z = (76 - 80)/(10/√25)

Finish the calculation.

If the test statistic exceeds the critical value from the table, reject the null and conclude µ < 80. If the test statistic does not exceed the critical value from the table, do not reject the null (you cannot conclude a difference in this case).

I hope this will help get you started.

yes you did Thank you...!!!!!

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