STAT 213 Lecture Notes - Lecture 26: Sampling Distribution, Random Variable, Randomized Experiment

• School: University of Calgary
• Department: Statistics
• Course: STAT 213
• Professor: Anatoliy Swishchuk

Document Summary

Lecture 26: sampling distributions for counts and proportions i. 1 introduction: the distribution of a statis- tic and population distribution. The data are summerazid by statistics such as means, proportions, and the slopes of least-squares regression lines. A statistic is a random variable that obeys the laws of probability. The link between probability theory and data is formed by the sampling theory. distribution of statistics. A statistic from a random sample or randomized experiment is a random variable. The probability distribution of the statistic is its sampling distribution. Select a woman at random and measure her height. We know that x will have the same n (64. 5, 2. 5) distribution that describes the pattern of heights in the entire population. We call n (64. 5, 2. 5) the population distribution. The population distribution of a variable is the distribution of its values for all members of the population.