'Chi squared test' presentation slideshows

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Statistics for the Social Sciences

Statistics for the Social Sciences. Psychology 340 Fall 2013 Tuesday, November 19. Chi-Squared Test of Independence. Homework #13 due11/28. Ch 17 # 13, 14, 19, 20. Last Time:. Clarification and review of some regression concepts Multiple regression Regression in SPSS. This Time:.

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Cross Tabs and Chi-Squared

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Statistics on American TV Habits

Statistics on American TV Habits. Kevin Englebert, Jordan Goodreau, Don Li. Description of topic. We wanted to determine whether the number of viewers of a show and the critic rating of the show are related

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eatworms.swmed/~leon leon@eatworms.swmed

eatworms.swmed.edu/~leon leon@eatworms.swmed.edu. Combining probabilities Samples and Populations Four useful statistics: The mean, or average. The median, or 50% value. Standard deviation. Standard Error of the Mean (SEM). Three distributions: The binomial distribution.

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Cross Tabs and Chi-Squared

Cross Tabs and Chi-Squared. Testing for a Relationship Between Nominal Variables. Cross Tabs and Chi-Squared. The test you choose depends on level of measurement: Independent Dependent Test Dichotomous Continuous Independent Samples t-test Dichotomous Nominal Nominal Cross Tabs

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Comparing Distributions III: Chi squared test, ANOVA By Peter Woolf (pwoolf@umich)

Comparing Distributions III: Chi squared test, ANOVA By Peter Woolf (pwoolf@umich.edu) University of Michigan Michigan Chemical Process Dynamics and Controls Open Textbook version 1.0. Creative commons. Unit 1. Unit 2.

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Colorful Personalities

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2010 Report on Oasis Data 2007-2010

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CHI-SQUARE TESTS

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Chi-Square Test ( c 2 )

Chi-Square Test ( c 2 ). One-way Chi-Square Test ( c 2 ). Used when dependent variable is counts within categories Used when DV has two or more mutually exclusive categories Compares the counts sample to those expected under the null hypothesis

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For testing significance of patterns in qualitative data

Chi-squared Tests. For testing significance of patterns in qualitative data Test statistic is based on counts that represent the number of items that fall in each category Test statistics measures the agreement between actual counts and expected counts assuming the null hypothesis.

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Chi-Square Training for Attribute Data

Chi-Square Training for Attribute Data. What Is A Chi-Square Test?. What is a Chi-Square? The probability density curve of a chi-square distribution is asymmetric curve stretching over the positive side of the line and having a long right tail.

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Warm-Up

Warm-Up. Grab a half sheet and start working on it! It says QUIZ at the top, so NO TALKING!. Section 11.2. Finding Expected Counts. Expected count for French wine bought when there was no music playing:. Does background music influence what customers buy?.

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Testing seed mixtures

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Using R with Python

Using R with Python. Python commands: import rpy2.robjects as robjects r = robjects.r pi = r.pi x = r.c (1,2,3,4,5,6) y = r.seq (1,10) m = r.matrix (y, nrow =5) n = r.matrix (y, ncol =5) f = r(" read.table ('RandomDistribution. tsv ', sep ='t')")

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Chi Squared Test of Independence

Chi Squared Test of Independence. Fundamental Question. Are two events/variables independent ? (Categorical variables) So what is independence?. Coins. What would it be for two coin tosses to be independent? What would it be for two coin tosses to be dependent. Brief Probability Lesson.

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Statistical Hypothesis Testing - Part 3

Statistical Hypothesis Testing - Part 3. A statistical hypothesis is an assertion concerning one or more populations. In statistics, a hypothesis test is conducted on a set of two mutually exclusive statements: H 0 : null hypothesis H 1 : alternate hypothesis

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Hotel Example, page 425 Solved Using the Z test for difference in two population proportions

Hotel Example, page 425 Solved Using the Z test for difference in two population proportions Manual Calculations. The Application

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