A manufacturer wishes to determine the effectiveness of four types of machines (A, B, C and D) in the production of bolts. To accumulate this, the numbers of defective bolts produced for each of two shifts in the results are shown in the following table:
| Machine | First shift | Second Shif | ||||||||
| M | T | W | Th | F | M | T | W | Th | F | |
| A | 6 | 4 | 5 | 5 | 4 | 5 | 7 | 4 | 6 | 8 |
| B | 10 | 8 | 7 | 7 | 9 | 7 | 9 | 12 | 8 | 8 |
| C | 7 | 5 | 6 | 5 | 9 | 9 | 7 | 5 | 4 | 6 |
| D | 8 | 4 | 6 | 5 | 5 | 5 | 7 | 9 | 7 | 10 |
Perform an analysis of variance to determine at 5% level of significance, whether there is a difference (a) Between the machines and (b) Between the shifts.
To solve the problem and analyze whether there is a significant difference between the machines and between the shifts at a 5% level of significance, we will perform Two-Way Analysis of Variance (ANOVA). The steps are as follows:
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### 1. Organize the Data
The data is provided for four machines (A, B, C, D) and two shifts (First Shift, Second Shift). Let us summarize the data:
#### First Shift:
- Machine A: 6, 4, 5, 5, 4
- Machine B: 10, 8, 7, 7, 9
- Machine C: 7, 5, 6, 5, 9
- Machine D: 8, 4, 6, 5, 5
#### Second Shift:
- Machine A: 5, 7, 4, 6, 8
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