Experimental design and sample size determination
•Decrease the variability in the measurements. –Make subjects more homogeneous. –Use stratification. –Control for other variables (e.g., weight). –Average multiple measurements on each subject. 35 Final conclusions •Experiments should be designed. •Good design and good analysis can lead to reduced sample sizes.
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www.tarleton.eduof the variability in the population as a whole can be made. Another consideration with sample size is the number needed for the data analysis. If descriptive statistics are to be used, e.g., mean, frequencies, then nearly any sample size will suffice. On the other hand, a good size sample, e.g., 200-500, is needed for