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.