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FUNDAMENTAL NOTIONS OF SAMPLING
SIMPLE RANDOM SAMPLING
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American Statistical Association average salary behaviour bias biases C. A. Moser call-backs called cent characteristics Cluster sampling data collection distribution drawn elements estimate example experimentally accessible population Favour formula Hence households International Statistical Institute intervals interview involves Journal judgement large number law of large London master sample measurement Multi-phase sampling multi-stage sampling non-probability observation obtained panel studies parameter periodic effect persons possible precision probability sampling Public Opinion Quarterly purposive sampling quota sampling random numbers random selection randomly replicated sampling representative respondents Royal Statistical Society sample surveys sampling design sampling errors sampling frame Sampling Methods Sampling Techniques Sampling Theory sampling unit sampling with replacement sampling without replacement simple random sampling stage standard deviation standard error strata stratification criteria stratified random sampling Stratified Sampling stratum sub-populations sub-sample systematic sampling tables of random target population teachers variables Wiley Yes No Yes York