The two types of random experimental error present in a split-plot design.
Whole plot error is the variability that occurs between the whole plots in the experiment. Subplot error is the variation from run to run within a whole plot that is not explained by the factors. For example, a large baked goods company uses a split-plot experiment to design a new brownie recipe.
Temperature 1 |
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Chocolate 1, Sugar 1 |
Chocolate 1, Sugar 2 |
Chocolate 2, Sugar 1 |
Chocolate 2, Sugar 2 |
Temperature 1 |
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Chocolate 1, Sugar 1 |
Chocolate 1, Sugar 2 |
Chocolate 2, Sugar 1 |
Chocolate 2, Sugar 2 |
Temperature 2 |
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Chocolate 1, Sugar 1 |
Chocolate 1, Sugar 2 |
Chocolate 2, Sugar 1 |
Chocolate 2, Sugar 2 |
Temperature 2 |
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Chocolate 1, Sugar 1 |
Chocolate 1, Sugar 2 |
Chocolate 2, Sugar 1 |
Chocolate 2, Sugar 2 |
Whole plot error is the variation between whole plots run at the same temperature. Subplot error is the variation from run to run within a whole plot that is not explained by chocolate and sugar.
Minitab uses whole plot error to calculate the F statistic for the hard-to-change factor. Subplot error is used to calculate the F statistics for all easy-to-change factors and interactions.