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SIMPLE RANDOM SAMPLING
SAMPLING FOR PROPORTIONS AND PERCENTAGES
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analysis of variance apply assumed average bias biased binomial cluster cluster sampling compute confidence limits consider correlation double sampling drawn equal probabilities equation errors of measurement estimated variance example farm finite population follows formula frequency distribution gain in precision given gives Hence households Hurwitz interviewer ith unit Jour linear linear regression mean per element mean square mean square error method negligible nonresponse normally distributed number of units obtained optimum allocation population mean population total primary units probability proportional proportional allocation ratio estimate regression estimate relative precision replacement sample estimate sample mean sample survey sampling fraction sampling units selected self-weighting shows simple random sample sizes standard error Stat strata stratified random sampling stratified sampling stratum h subsample systematic sample Table term theorem total number two-stage sampling unbiased estimate V(yst variate