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Good research design includes careful consideration of the number of independent observations (replicates) we need to test our predictions – the sample size. Some sampling decisions are beyond our control. For example, we may be limited by the number of specimens available, the animals we can observe, or the data we have at our disposal. Knowing in advance what we can and can’t test with our data will save wasted effort. This chapter covers how we use samples to study populations, the importance of statistical power, how to determine whether you have the power to test for an effect, and statistical precision.
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