In: Statistics and Probability
The null and alternative hypotheses are:
H0:μd≤0H0:μd≤0
H1:μd>0H1: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 | 10 | 12 | 15 | 18 |
Afternoon shift | 8 | 9 | 13 | 16 |
At the 0.01 significance level, can we conclude there are more defects produced on the Afternoon shift?
a. State the decision rule. (Round the final answer to 3 decimal places.)
H0 is (Click to select) rejected not rejected if t > .
b. Compute the value of the test statistic. (Round the final answer to 3 decimal places.)
Test statistic
c. What is your decision regarding the null hypothesis?
H0 should (Click to select) not be rejected be rejected .
d. Determine the p-value. (Round the final answer to 4 decimal places.)
The p-value is .
H0:μd≤0
H1:μd>0
a)
H0 is rejected if t > 4.541
b)
TS = 9
c)
Null hypothesis is rejected
d)
p-value = 0.0014