In: Statistics and Probability
A manager is looking at the number of sick days used by employees in a year.
H0: the average number is 8 or below
H1: the average is over 8
We know that the standard deviation of the number of sick days used by employees is 2, and we want to test at 10% significance level.
Say we took a random sample of 50 employees, and checked their records, and found that the average was 8.1
The manager figures that the critical value (z-sub-0.1) is 1.28.
What should be the decision?
A. |
Employees are abusing their sick days |
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B. Reject H0 |
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C. We have insufficient information to make a decision |
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D. Keep H0 |
Let the hypotheses are:
Rejection region:
Reject Ho if Zobs>Z0.10=1.28
Since, n=50, hence we use Z statistic here and one tail Z test to test the hypothesis
Test Statistic:
P-value:
P value associated with the calculated Z statistic is computed using the Z table shown below:
P value:0.363
Conclusion:
Since Z(obs)<Z( critical and P-value is greater than the level of significance (0.10), we fail to reject the null hypothesis, therefore we have insufficient evidence to support the claim.
D. Keep H0