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Mathematical statistics Week 2/b: Finite sample
Mathematical statistics Week 2/b: Finite sample

Final Exam Name: MAT 118, Spring 2013 Part 1: Multiple Choice
Final Exam Name: MAT 118, Spring 2013 Part 1: Multiple Choice

CHAPTER EIGHT Confidence Intervals, Effect Size, and Statistical
CHAPTER EIGHT Confidence Intervals, Effect Size, and Statistical

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Class5

Chapter 5-13. Monte Carlo Simulation andBootstrapping
Chapter 5-13. Monte Carlo Simulation andBootstrapping

Sampling Distributions
Sampling Distributions

Tests for Two Means in a Multicenter Randomized Design
Tests for Two Means in a Multicenter Randomized Design

Chapter 8
Chapter 8

Week 1: Entering Data And Checking Assumptions
Week 1: Entering Data And Checking Assumptions

Dep t - Practice Exercise - KEY
Dep t - Practice Exercise - KEY

Point Estimates
Point Estimates

Lab 11
Lab 11

Document
Document

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Estimation

... Hypothesis testing with T • Tests hypotheses about relationship between a dichotomous nominal variable (gender, an either / or item) and an interval variable • Does the average score for one group differ from a second group? • Are Obama voters younger than Romney ...
Common Errors in Statistics How to Avoid Them
Common Errors in Statistics How to Avoid Them

final-review
final-review

... use sample mean to estimate population mean confidence interval type I error and type II error null hypothesis (H0) and alternative hypothesis (H1) one-tail vs. two-tail t-statistics, critical value, p-value one-sample test two-sample test (independent) two-sample test (matched pair) ...
Chapter 3: Single Factor Experiments with No Restrictions on
Chapter 3: Single Factor Experiments with No Restrictions on

Chapter 8
Chapter 8

Chapter 8 Reading Guide
Chapter 8 Reading Guide

Basics of Hypothesis Testing
Basics of Hypothesis Testing

STA 1060 Chapter 6 problems
STA 1060 Chapter 6 problems

Population characteristics: Population mean
Population characteristics: Population mean

... confidence interval estimate the success rate of the method used to construct the interval. If we repeatedly sample from a population and calculate a confidence interval each time with the data available, then over the long run the proportion of the confidence intervals that actually contain the tru ...
http://www.ruf.rice.edu/~lane/stat_sim/sampling_dist/index.html
http://www.ruf.rice.edu/~lane/stat_sim/sampling_dist/index.html

In an opinion poll, 25% of 200 people sampled said that they
In an opinion poll, 25% of 200 people sampled said that they

Lecture 28, Compact version
Lecture 28, Compact version

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Resampling (statistics)

In statistics, resampling is any of a variety of methods for doing one of the following: Estimating the precision of sample statistics (medians, variances, percentiles) by using subsets of available data (jackknifing) or drawing randomly with replacement from a set of data points (bootstrapping) Exchanging labels on data points when performing significance tests (permutation tests, also called exact tests, randomization tests, or re-randomization tests) Validating models by using random subsets (bootstrapping, cross validation)Common resampling techniques include bootstrapping, jackknifing and permutation tests.
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