'2 table' presentation slideshows

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Stats 330: Lecture 27

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Chapter 14 Tests of Hypotheses Based on Count Data

Chapter 14 Tests of Hypotheses Based on Count Data. 14.2 Tests concerning proportions (large samples) 14.3 Differences between proportions 14.4 The analysis of an r x c table. 14.2 Tests concerning proportions (large samples). np>5; n(1-p)>5 n independent trials; X=# of successes

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Nonparametric tests, rank-based tests, chi-square tests

Nonparametric tests, rank-based tests, chi-square tests. Parametric tests. Parameter: a parameter is a number characterizing an aspect of a population (such as the mean of some variable for the population), or that characterizes a theoretical distribution shape.

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Statistical Tests to Analyze the Categorical Data

Statistical Tests to Analyze the Categorical Data. Types of Categorical Data. Types of Analysis for Categorical Data. THE CHI-SQUARE TEST. BACKGROUND AND NEED OF THE TEST Data collected in the field of medicine is often qualitative.

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Chapter 14 Tests of Hypotheses Based on Count Data

Chapter 14 Tests of Hypotheses Based on Count Data. 14.2 Tests concerning proportions (large samples) 14.3 Differences between proportions 14.4 The analysis of an r x c table. 14.2 Tests concerning proportions (large samples). np>5; n(1-p)>5 n independent trials; X=# of successes

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STT430/530: Nonparametric Statistics

STT430/530: Nonparametric Statistics. Chapter 7: Basic Tests for Three or More Samples Dr. Cuixian Chen. Ch7 Basic test for three or more samples. Example 7.1. Given k independent samples from normal distributions all with the same (but usually unknown) variance and means ?1, ?2, . . . , ?k.

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Chi-Square Test(one)

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CHI-SQUARE( X 2 ) DISTRIBUTION

CHI-SQUARE( X 2 ) DISTRIBUTION. Chi-Square Test. CHI-SQUARE( X 2 ) DISTRIBUTION. PROPERTIES: 1.It is one of the most widely used distribution in statistical applications 2.This distribution may be derived from normal distribution 3.This distribution assumes values from ( zero to + infinity).

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CHI-SQUARE( X 2 ) DISTRIBUTION

CHI-SQUARE( X 2 ) DISTRIBUTION. Chi-Square Test. CHI-SQUARE( X 2 ) DISTRIBUTION. PROPERTIES: 1.It is one of the most widely used distribution in statistical applications 2.This distribution may be derived from normal distribution 3.This distribution assumes values from ( zero to + infinity).

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PASW-SPSS STATISTICS

PASW-SPSS STATISTICS. David P. Yens, Ph.D. New York College of Osteopathic Medicine, NYIT dyens@nyit.edu PRESENTATION 3 Descriptive Statistics Chi-Squared Risk/Odds Ratio 2010. DESCRIPTIVE STATISTICS.

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C ontingency (frequency ) tables

C ontingency (frequency ) tables. Dependence of two qualitative variables. Examples of problems. Is survival of a person send to choleric area dependent on the fact whether the person have been vaccinated against cholera or not? Is there any connection between hair colour and sex?

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Contingency Tables

Contingency Tables. Often we have limited measurement of our data. Contingency Tables are a means of looking at the impact of nominal and ordinal measures on each other. They are called contingency tables because one variables value is contingent upon the other.

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The Use of 2 by 2 Tables

The Use of 2 by 2 Tables. IN. CAUSAL ASSOCIATIONS. Causality. ASSOCIATION BETWEEN. FACTOR AND HEALTH EVENT. ???. F+. D+. Causality. APPARENT. ASSOCIATION. STATISTICAL. CAUSAL. Epidemiologic Methods. PROSPECTIVE OR COHORT. TIME. F+. D+. F-. D-. Epidemiologic Methods.

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Testing for a Relationship Between 2 Categorical Variables

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Frequency Tables

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Testing for a Relationship Between 2 Categorical Variables

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Tips and Tools for Measuring Program Impacts: From Delivering Programs to Reporting Impacts

Tips and Tools for Measuring Program Impacts: From Delivering Programs to Reporting Impacts. Office of Educational Innovation and Evaluation 2323 Anderson Avenue, Suite 220 Kansas State University Manhattan, Kansas 66502 Phone: 785-532-5930 Fax: 785-532-7185.

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Chi Square

Chi Square. Chi Square. z, t and F tests are parametric (assume a normal distribution) Chi square is non-parametric (distribution free) A test of significance when data are expressed in frequencies or are expressed in percentages or proportions that can be reduced to frequencies. Three uses:

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