STAT 1051 Study Guide - Final Guide: Probability Distribution, Confidence Interval, Conditional Probability
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STAT 1051 Full Course Notes
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Document Summary
1: descriptive statistics, probability, counting techniques and permutations, compound events, conditional probability, discrete random variable, probability distribution, random variables, continuous random variable, normal distribution, sampling distributions, confidence intervals, testing statistical hypothesis, inference about two populations. The science of collection and analysis of data. Key concept in statistics; justifies if you can use the sample. Characteristics of interest about each element of a population/sample. Number of freshman enrolled at gwu each year) It should be representative of the population and should have characteristics typical. Each element in population has an equal chance of being. Obtained by either sampling with or without replace. First element is picked randomly, then every kth is picked. Sampling some of, but not all of, the possible subdivisions. Relative frequency distribution: sample are distributed. A ratio/fraction that shows how observations in a. * x axis is independent variable and y axis is the dependent variable. Examples: race, religion, political affiliation and rating of a service.
