In: Statistics and Probability
In manufacturing, does worker productivity drop on Friday? In an
effort to determine whether it does, a company’s personnel
department randomly selects from a manufacturing plant five workers
who make the same part. They measure their output on Wednesday and
again on Friday and obtain the following results.
Worker | Wednesday Output | Friday Output |
1 | 72 | 53 |
2 | 56 | 47 |
3 | 75 | 52 |
4 | 67 | 55 |
5 | 74 | 55 |
They use α = 0.05 and assume the difference in
productivity is normally distributed. Do the samples provide enough
evidence to show that productivity drops on Friday?
Round the intermediate values to 3 decimal places.
Round your answer to 2 decimal places.
Observed t = ??
NULL HYPOTHESIS H0:
ALTERNATIVE HYPOTHESIS Ha:
Rejection Region
Based on the information provided, the significance level is α=0.05, and the degrees of freedom are df=4.
Hence, it is found that the critical value for this left-tailed test is tc=−2.132, for α=0.05 and df = 4df=4.
The rejection region for this left-tailed test is R={t:t<−2.132}.
t= -6.40
Decision about the null hypothesis: Since it is observed that t=−6.403<tc=−2.132, it is then concluded that the null hypothesis is rejected.
Using the P-value approach: The p-value is p=0.0015, and since p=0.0015<0.05, it is concluded that the null hypothesis is rejected.
(5) Conclusion: It is concluded that the null hypothesis Ho is rejected. Therefore, there is enough evidence to claim that population mean μ1 is less than μ2, at the 0.05 significance level.