In: Statistics and Probability
(Montgomery & Runger, 2007; )
A company operates four machines three shifts each day. From production records, the following data on the number of breakdowns are collected:
Shift |
Machines |
|||
A |
B |
C |
D |
|
1 |
41 |
20 |
12 |
16 |
2 |
31 |
11 |
9 |
14 |
3 |
15 |
17 |
16 |
10 |
Test the hypothesis (using α = 0.05) using the Chi-Square Test that breakdowns are independent of the shift. Find the p-value for this test.
(i)
H0: Null Hypothesis: Breakdown are independent of the shift
HA: Alternative Hypothesis: Breakdown are dependent on shift
Observed Frequencies:
Shift Machines
A B C D Total
1 41 20 12 16 89
2 31 11 9 14 65
3 15 17 16 10 58
Total 87 48 37 40 212
Assuming H0, The Expected Frequencies are claculated as follows:
Shift Machine
A B C D Total
1 87X89/212=36.52 20.15 15.53 16.79 89
2 26.67 14.72 11.34 12.26 65
3 23.80 13.13 10.12 10.94 58
Total 87 48 37 40 212
O E (O - E)2?e
41 36.52 0.55
20 20.15 0.00
12 15.53 0.80
16 16.79 0.04
31 26.67 0.70
11 14.72 0.94
9 11.34 0.48
14 12.26 0.25
15 23.80 3.25
17 13.13 1.14
16 10.12 3.41
10 10.94 0.08
--------------------------------------------------------------
= 11.6491
= 0.05
ndf = (4 - 1) X (3 - 1) = 6
From Table, critical value of = 12.5916.
Since calculated value of is less than critical value of , Fail to reject H0.
Conclusion:
Breakdowns are indepencent of shift.
(ii)
By Technology, p-value = 0.0703.
Since p-value = 0.0703 is greater than , Fail to reject H0.
Conclusion:
Breakdowns are independent of the shift.
p-value for this test = 0.0703.