Exercise 7. Machine Errors and Days. A manufacturer wishes to see if there is a difference in the distribution for the number of defective bolts produced by at least one of several machines through the work week on the day shift. Six randomly selected machines are evaluated each day for a week. The findings are listed in the table. Let α = 0.05. Using the Friedman Test, can you support the researcher’s claim?
Machine |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
A |
6 |
4 |
5 |
5 |
4 |
B |
10 |
8 |
7 |
7 |
9 |
C |
7 |
5 |
6 |
5 |
9 |
D |
8 |
4 |
6 |
5 |
5 |
E |
5 |
7 |
4 |
6 |
8 |
F |
7 |
9 |
12 |
8 |
8 |
Null hypothesis |
H₀: All treatment effects are zero |
Alternative hypothesis |
H₁: Not all treatment effects are zero |
Ranks T1
5 5 4 5 2 1 Sum: 22
Ranks T2
1.5 3 1.5 1 4 4 Sum: 15
Ranks T3
3.5 1.5 3 4 1 5 Sum: 18
Ranks T4
3.5 1.5 1.5 2.5 3 2.5 Sum: 14.5
Ranks T5
1.5 4 5 2.5 5 2.5 Sum: 20.5
X2r =
(12/(nk(k+1)) * (∑R2) -
3n(k+1)
X2r = 0.067 * 1663.5 -
108
X2r = 2.9
The X2r statistic is 2.9
(4, N = 6).
The p-value is .5747.
The result is not significant at p < .05. We
fail to reject null hypothesis and conclude that there are no
differences in the distribution for the number of defective bolts
produced by several machines through the work week on the day
shift.
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