Test of Independence. The chi squared test statistic and test procedure can also be used to investigate association between 2 categorical variables in.

Slides:



Advertisements
Similar presentations
Chapter 11 Other Chi-Squared Tests
Advertisements

 2 test for independence Used with categorical, bivariate data from ONE sample Used to see if the two categorical variables are associated (dependent)
AP Statistics Tuesday, 15 April 2014 OBJECTIVE TSW (1) identify the conditions to use a chi-square test; (2) examine the chi-square test for independence;
Goodness Of Fit. For example, suppose there are four entrances to a building. You want to know if the four entrances are equally used. You observe 400.
Multinomial Experiments Goodness of Fit Tests We have just seen an example of comparing two proportions. For that analysis, we used the normal distribution.
Basic Statistics The Chi Square Test of Independence.
Statistical Inference for Frequency Data Chapter 16.
Crosstabs and Chi Squares Computer Applications in Psychology.
Cross-Tabulations.
1 Doing Statistics for Business Doing Statistics for Business Data, Inference, and Decision Making Marilyn K. Pelosi Theresa M. Sandifer Chapter 15 The.
Chi-Square and Analysis of Variance (ANOVA)
Presentation 12 Chi-Square test.
1 Copyright © 2005 Brooks/Cole, a division of Thomson Learning, Inc. Analysis of Categorical Data Test of Independence.
Statistics for Managers Using Microsoft Excel, 5e © 2008 Prentice-Hall, Inc.Chap 12-1 Statistics for Managers Using Microsoft® Excel 5th Edition Chapter.
GOODNESS OF FIT TEST & CONTINGENCY TABLE
Business Statistics, A First Course (4e) © 2006 Prentice-Hall, Inc. Chap 11-1 Chapter 11 Chi-Square Tests Business Statistics, A First Course 4 th Edition.
HAWKES LEARNING SYSTEMS Students Matter. Success Counts. Copyright © 2013 by Hawkes Learning Systems/Quant Systems, Inc. All rights reserved. Section 10.7.
Copyright © 2013, 2010 and 2007 Pearson Education, Inc. Chapter Inference on Categorical Data 12.
Chapter 11 Chi-Square Procedures 11.3 Chi-Square Test for Independence; Homogeneity of Proportions.
Chi-square test Chi-square test or  2 test Notes: Page Goodness of Fit 2.Independence 3.Homogeneity.
Multinomial Experiments Goodness of Fit Tests We have just seen an example of comparing two proportions. For that analysis, we used the normal distribution.
Chi-Square Procedures Chi-Square Test for Goodness of Fit, Independence of Variables, and Homogeneity of Proportions.
Other Chi-Square Tests
Chapter-8 Chi-square test. Ⅰ The mathematical properties of chi-square distribution  Types of chi-square tests  Chi-square test  Chi-square distribution.
13.2 Chi-Square Test for Homogeneity & Independence AP Statistics.
Chapter 11 Chi- Square Test for Homogeneity Target Goal: I can use a chi-square test to compare 3 or more proportions. I can use a chi-square test for.
CHI SQUARE TESTS.
HYPOTHESIS TESTING BETWEEN TWO OR MORE CATEGORICAL VARIABLES The Chi-Square Distribution and Test for Independence.
Two Variable Statistics Introduction To Chi-Square Test for Independence.
Other Chi-Square Tests
Business Statistics: A First Course, 5e © 2009 Prentice-Hall, Inc. Chap 11-1 Chapter 11 Chi-Square Tests Business Statistics: A First Course Fifth Edition.
Copyright © 2010 Pearson Education, Inc. Slide
Section 10.2 Independence. Section 10.2 Objectives Use a chi-square distribution to test whether two variables are independent Use a contingency table.
Statistics for Managers Using Microsoft Excel, 4e © 2004 Prentice-Hall, Inc. Chap 11-1 Chapter 11 Chi-Square Tests and Nonparametric Tests Statistics for.
CHAPTER INTRODUCTORY CHI-SQUARE TEST Objectives:- Concerning with the methods of analyzing the categorical data In chi-square test, there are 2 methods.
Chapter Outline Goodness of Fit test Test of Independence.
Copyright © Cengage Learning. All rights reserved. Chi-Square and F Distributions 10.
11.2 Tests Using Contingency Tables When data can be tabulated in table form in terms of frequencies, several types of hypotheses can be tested by using.
Section 12.2: Tests for Homogeneity and Independence in a Two-Way Table.
Copyright © 2013, 2009, and 2007, Pearson Education, Inc. Chapter 11 Analyzing the Association Between Categorical Variables Section 11.2 Testing Categorical.
ContentFurther guidance  Hypothesis testing involves making a conjecture (assumption) about some facet of our world, collecting data from a sample,
Chapter 14 Chi-Square Tests.  Hypothesis testing procedures for nominal variables (whose values are categories)  Focus on the number of people in different.
Chapter 13- Inference For Tables: Chi-square Procedures Section Test for goodness of fit Section Inference for Two-Way tables Presented By:
Lecture PowerPoint Slides Basic Practice of Statistics 7 th Edition.
CHAPTER INTRODUCTORY CHI-SQUARE TEST Objectives:- Concerning with the methods of analyzing the categorical data In chi-square test, there are 3 methods.
11.1 Notes Chi Square Test of Independence. Chi Square Test of Independence is used to determine if there is a relationship between two variables or are.
Chapter 11: Categorical Data n Chi-square goodness of fit test allows us to examine a single distribution of a categorical variable in a population. n.
Section 10.2 Objectives Use a contingency table to find expected frequencies Use a chi-square distribution to test whether two variables are independent.
Test of Independence Tests the claim that the two variables related. For example: each sample (incident) was classified by the type of crime and the victim.
Comparing Observed Distributions A test comparing the distribution of counts for two or more groups on the same categorical variable is called a chi-square.
Other Chi-Square Tests
Chi-Square hypothesis testing
Warm Up Check your understanding on p You do NOT need to calculate ALL the expected values by hand but you need to do at least 2. You do NOT need.
Presentation 12 Chi-Square test.
Unit 8 Section 7.5.
Chapter 11 Chi-Square Tests.
Inferential Statistics
1) A bicycle safety organization claims that fatal bicycle accidents are uniformly distributed throughout the week. The table shows the day of the week.
M248: Analyzing data Block D.
The Chi-Square Distribution and Test for Independence
Consider this table: The Χ2 Test of Independence
Chapter 10 Analyzing the Association Between Categorical Variables
Contingency Tables: Independence and Homogeneity
Chi-square test or c2 test
Chapter 11 Chi-Square Tests.
Inference on Categorical Data
Lecture 38 Section 14.5 Mon, Dec 4, 2006
Inference for Two Way Tables
Chapter 11 Chi-Square Tests.
Lecture 46 Section 14.5 Wed, Apr 13, 2005
Presentation transcript:

Test of Independence

The chi squared test statistic and test procedure can also be used to investigate association between 2 categorical variables in a single population. The question of interest is often whether knowledge of one variable’s value provides any information about the value of the other variable – in other words, are the 2 variables independent?

Independent Knowledge of one value does not provide information about another.

Very similar to Test of Homogeneity Same test statistic Same way to figure the expected value Same way to find the degrees of freedom Same way of putting it in the matrices and using the calculator. Same Assumptions

Differences State in context of the problem Assumptions Random samples Cells  5

A sociologist wishes to see whether the number of years of college a person has completed is related to his or her place of residence. A random sample of 70 people is selected and classified as shown. Using a 5% significance level, can the sociologist conclude that the years of college education are dependent on the person’s location? No College4 yr degAdvanced Urban15128 Suburban8159 Rural687

A researcher wishes to determine whether there is a relationship between the gender of an individual and the amount of alcohol consumed. Use α = 0.01 LowModerateHigh Male1098 Female131612

Survey Questions Each Group is to make a survey question that will generate data for each type of Chi-square Test.

Homework Page 659 (20, 24, 25, 30, 32) Test for Homogeneity are mixed in with test of independence!