The null and alternate hypotheses are:
H0 : μd ≤ 0
H1 : μd > 0
The following sample information shows the number of defective units produced on the day shift and the afternoon shift for a sample of four days last month.
Day | ||||
1 | 2 | 3 | 4 | |
Day shift | 11 | 12 | 14 | 18 |
Afternoon shift | 9 | 10 | 13 | 16 |
At the 0.050 significance level, can we conclude there are more defects produced on the day shift? Hint: For the calculations, assume the day shift as the first sample.
a. State the decision rule.
b. Compute the value of the test statistic.
c. What is the p-value?
d. What is your decision regarding H0?
a)
Decision rule : reject Ho if test statistic t>2.353 |
b)
value of the test statistic t =7.000
c)
p value =0.0030
d)
reject Ho and conclude that there are more defects produced on the day shift
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