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An agricultural engineer studies the effect of five factors on the growth of basil plants. The engineer designs a 2-level Taguchi experiment to determine which factor settings increase the plant's rate of growth without increasing the variability in growth. The engineer also manipulates two noise factors to determine which settings for the five factors increase plant growth across the true range of temperature and humidity conditions.
You can use this data to demonstrate Analyze Taguchi Design and Predict Taguchi Results.
| Worksheet column | Description |
|---|---|
| Variety | The variety of basil plant: 1 or 2 (factor) |
| Light | The level of light the plants received: 1 or 2 (factor) |
| Fertilizer | The type of fertilizer the plants received: 1 or 2 (factor) |
| Water | The amount of water the plants received: 1 or 2 (factor) |
| Spraying | The frequency of spraying: 1 or 2 (factor) |
| Time | The amount of growth time: 3, 5, 7, or 9 (signal factor) |
| T1H1 | The leaf size measurement (response) for level 1 temperature and level 1 humidity (noise factors) |
| T1H2 | The leaf size measurement (response) for level 1 temperature and level 2 humidity (noise factors) |
| T2H1 | The leaf size measurement (response) for level 2 temperature and level 1 humidity (noise factors) |
| T2H2 | The leaf size measurement (response) for level 2 temperature and level 2 humidity (noise factors) |
| Var Level | The variety levels for prediction (in the Basil growth with model data set only) |
| Light Level | The light levels for prediction (in the Basil growth with model data set only) |
| Fert Level | The fertilizer levels for prediction (in the Basil growth with model data set only) |
| Water Level | The water levels for prediction (in the Basil growth with model data set only) |
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