Management and Organizational Studies 2242A/B Study Guide - Midterm Guide: Variance, Central Limit Theorem, Point Estimation
28 Sep 2018
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With respect to sample sizes, (cid:1688)bigger is better(cid:1689) Samples are always estimates of the population and larger samples are closer to the actual population. Sampling error difference b/w a sample statistic and a population statistic. 6. 1 the sampling distribution of the sample mean: Suppose that we are about to randomly select a sample of n elements (cars) from a population of elements: Characteristics can be described using measures of central tendency. Measure of dispersion (range, standard deviation, variance) Sample itself is described with the sample distribution. Sampling distribution distribution of sample statistics (in which the stat is the (cid:1688)score(cid:1689)) Sampling distributions tend to approximate the population (e. g. similar means) and tend to fall into a normal distribution shape. Sampling distribution of the sample mean the probability distribution of the population of all possible sample means obtained from samples of a particular size n. Difference b/w sample distribution and sampling distribution (important):
