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A quality engineer for a pharmaceutical company wants to determine the shelf life for pills that contain a new drug. The concentration of the drug in the pills decreases over time. The engineer wants to determine when the pills get to 90% of the intended concentration. Because this is a new drug, the company has only 5 pilot batches to use to estimate the shelf life. The engineer tests one pill from each batch at nine different times.
To organize the data for analysis, the engineer creates a data collection worksheet for the study.
The study includes 9 test times and 5 batches for a total of 45 runs. The engineer records the response data in Minitab. Then, the engineer uses to analyze the data and determine the shelf life for the pills.
Minitab randomizes the batches by default. If you replicate the example, your run order will be different.
| Testing times: | 9 | Batches: | 5 |
|---|---|---|---|
| Samples per batch at each time: | 1 | Total runs: | 45 |
| C1 | C2 | C3-T | C4 |
|---|---|---|---|
| RunOrder | Month | Batch | Response |
| 1 | 0 | 1 | * |
| 2 | 0 | 2 | * |
| 3 | 0 | 5 | * |
| 4 | 0 | 3 | * |
| 5 | 0 | 4 | * |
| 6 | 3 | 4 | * |
| 7 | 3 | 1 | * |
| 8 | 3 | 2 | * |
| 9 | 3 | 3 | * |
| 10 | 3 | 5 | * |
| … | … | … | … |
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