MQM 100 Study Guide - Quiz Guide: Sample Size Determination, Test Statistic, Statistical Hypothesis Testing

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When the population of variable x is normal, and b. When n > 30 (central limit theorem). estimate of the population parameter versus (b) a range/interval around the value the sample statistic (point estimator) provides the estimate of the population parameter. Finite vs infinite populations when is a population considered to be infinite: various sampling designs/methods (simple random, systematic, stratified, cluster, convenience) Focus: what is the probability that the mean of a randomly selected sample will be: > 1 or < 1 or 1 < < 2. Focus: what is the probability that the proportion from a random sample will be: > 1 or < 1 or 1 < < 2. Inferential statistic/statistical inference: estimating population parameters (e. g. , or p) using sample statistics (cid:4666), or (cid:4667) Point estimators: sample statistics such as or that are estimates of population parameters or p. In such cases values of can be converted to their corresponding standard normal z-values: