| 1. | A fractional factorial design contains a carefully chosen subset of these combinations.
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| 2. | Because of this, R . A Fisher popularized the use of factorial designs.
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| 3. | When the factors are continuous, two-level factorial designs assume that the effects are linear.
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| 4. | Factorial designs are designs that contain two or more independent variables that are completely crossed.
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| 5. | In this case, fractional factorial designs may be used.
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| 6. | The criterion for choosing the subsets is discussed in detail in the fractional factorial designs article.
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| 7. | Factorial designs are therefore less attractive if a researcher wishes to consider more than two levels.
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| 8. | There are a broad variety of factorial designs, so researchers have specific descriptions for the different designs.
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| 9. | A full factorial design contains all possible combinations of low / high levels for all the factors.
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| 10. | Instead, using what's called a fractional factorial design, Biz Ware selects a subset of eight combinations to test.
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