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Nested Designs - Scholar

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2. Hypotheses<br />

A null and alternative hypothesis can be tested for each factor in the model, random or fixed.<br />

For fixed effects, like the effects of hybrids in the above example, we would have<br />

Fixed effects, of Hybrids<br />

e.g.,<br />

H0: The effects of all hybrids = 0, versus HA: The effects of some hybrids ≠ 0,<br />

H0: i 0for<br />

all i, versus HA: i 0for<br />

some i (7)<br />

and we would state the conclusion in the usual way:<br />

or<br />

There is/is not significant statistical evidence that hybrid affects<br />

transpiration rate (P=__ ),<br />

There is/is not significant statistical evidence that mean transpiration rate<br />

differs among hybrids (P=__ ).<br />

Random Effects, of Plants for Example<br />

For random effects, like the effects of plants in the above example, we would test hypotheses<br />

about the variance components of the random factors<br />

H0: The standard deviation of the random effects of plants = 0,<br />

versus<br />

HA: The standard deviation of the random effects of some plants ≠ 0.<br />

nested01.docx 8 4/5/2012

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