MARK 302 Study Guide - Final Guide: Normal Distribution, Central Limit Theorem, Standard Deviation
8 Dec 2016
School
Department
Course
Professor
Document Summary
General rule: the larger the sample is, the smaller the sampling error & margin of error, which is a ci around the sample statistic within which the population parameter is expected to be. A continuous distribution that is bell-shaped and symmetric about the mean; the mean, median, and mode are equal. Standard normal distribution: normal distribution with a mean of zero and a standard deviation of one. Formula can transform any value x from any normal distribution to its equivalent value z from a standard normal distribution. Population distribution: a frequency distribution of all the elements of a population. Sample distribution: a frequency distribution of all the elements of an individual sample. Sampling distribution of the mean: a theoretical probability distribution of the means of all possible samples of a given drawn from a given population. (have tremendous practical sig. ) Standard error of the mean: the standard deviation of a distribution of sample means.
