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Math 221 Test 3 Study Guide

by: Taysha Cerisier

Math 221 Test 3 Study Guide MAT 221 - M200

Marketplace > Syracuse University > Math > MAT 221 - M200 > Math 221 Test 3 Study Guide
Taysha Cerisier

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About this Document

Chapter outlines for test 3.
Elements of Mathematical Statistics and Probability Theory
X. Au
Study Guide
Math, Statistics, 221, confidence interval
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This 1 page Study Guide was uploaded by Taysha Cerisier on Wednesday April 20, 2016. The Study Guide belongs to MAT 221 - M200 at Syracuse University taught by X. Au in Spring 2016. Since its upload, it has received 12 views. For similar materials see Elements of Mathematical Statistics and Probability Theory in Math at Syracuse University.

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Date Created: 04/20/16
Math 221 Test 3 Study Guide Chapter 5 5.1: The Sampling Distribution of a Sample Mean Statistical Inference: the process of drawing conclusions about a population from data obtained from a sample Population Distribution: a variable is the distribution of values of this variable for all members of the population Sampling Variability: the likelihood of getting a different set of individuals and a different statistic each time a random sample is taken from a population Sampling Distribution: the distribution of statistics from many samples Central Limit Theorem: properties: Shape (the sampling distribution is approximately normal). Center (the mean of the sampling distribution is approximately equal to the population mean). Spread (the standard deviation of the sampling distribution is approximately equal to the population standard deviation over the square root of the sample size). 5.2: Sampling Distributions for Counts and Proportions Chapter 6 6.1: Estimating with Confidence Statistical Inference: methods for drawing conclusions about a population ffrom sample data. Confidence Intervals: estimating a value of a population parameter. Tests of significance: assess evidence for a claim about a population. 6.2: Tests of Significance 6.3: Use and Abuse of Tests


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