'Contingency tables' presentation slideshows

Lecture Unit 2 Graphical and Numerical Summaries of Data

Lecture Unit 2 Graphical and Numerical Summaries of Data. UNIT OBJECTIVES At the conclusion of this unit you should be able to: 1) Construct graphs that appropriately describe data 2) Calculate and interpret numerical summaries of a data set.

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Biostat 200 Lecture 8

Biostat 200 Lecture 8. Review. The test statistics follow a theoretical distribution ( t stat follows the t distribution, F statistic follows the F distribution, z stat follows the Standard Normal) if certain assumptions are met. These assumptions are:

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Categorical Data Analysis

Categorical Data Analysis. Independent (Explanatory) Variable is Categorical (Nominal or Ordinal) Dependent (Response) Variable is Categorical (Nominal or Ordinal) Special Cases: 2x2 (Each variable has 2 levels) Nominal/Nominal Nominal/Ordinal Ordinal/Ordinal. Contingency Tables.

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Introduction to Categorical Descriptive Statistics

Introduction to Categorical Descriptive Statistics. Overview. Contingency tables Notation Descriptive statistics Difference in proportions Relative risk Odds ratio SPSS. Contingency Tables. Two dimensional tables Let X and Y be categorical variables X has I levels and Y has J levels

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Information Theoretic Clustering, Co-clustering and Matrix Approximations Inderjit S. Dhillon Uni

Information Theoretic Clustering, Co-clustering and Matrix Approximations Inderjit S. Dhillon University of Texas, Austin. Joint work with A. Banerjee, J. Ghosh, Y. Guan, S. Mallela,

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Forecast Verification

2014 WRF for Hurricanes Tutorial January16, 2014 College Park, MD. Forecast Verification. Kathryn M. Newman National Center for Atmospheric Research Developmental Testbed Center Boulder, CO. Outline. Introduction to Forecast Verification Introduction Observations

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Statistics for the Terrified

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Module 1: Introduction

Module 1: Introduction. This module describes the purpose of the course and the general approach followed for addressing this purpose. . Reviewed 15 April 2005 by Bola /MODULE 1. ACCE Biostatistics Training Course Spring 2005. O. Dale Williams, MPH, PhD

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Displaying & Describing Categorical Data

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Cloudnet products available from Chilbolton

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Displaying & Describing Categorical Data

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How To Design and Evaluate Research in Education Chapter 10: Descriptive Statistics

How To Design and Evaluate Research in Education Chapter 10: Descriptive Statistics. Sherry Alessandro Susan Ray. Permits researchers to succinctly describe information Uses few indices Uses indices to calculate data for a SAMPLE. Uses two (2) types of numerical data: Quantitative data

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Sociology 601 Class12: October 8, 2009

Sociology 601 Class12: October 8, 2009. The Chi-Squared Test (8.2 ) expected frequencies calculating Chi-square finding p When (not) to use Chi-squared tests (8.3) chi-squared residuals. 8.2 Chi-squared statistical significance test for contingency tables. support tax reform?

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Inferential Statistics What are they? When would you use them?

Inferential Statistics What are they? When would you use them?. Inferential Statistics. What are inferential statistics? Why learn about inferential statistics? Why use inferential statistics? When are inferential statistics utilized?

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Example: Contingency Table

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Warm Up- CW Grade

Warm Up- CW Grade. Use the information in the table (from yesterday) to: Make a Relative Frequency Table Make a Relative Frequency Bar Graph Make a Pie Chart. HW Questions. Textbook p. 16-18 # 2, 12, 22, 25, 26. Answer Key. Answer Key. Contingency Tables. CH. 3 Day 2 AP Statistics

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Diagnostic verification and extremes: 1 st Breakout

Diagnostic verification and extremes: 1 st Breakout. Discussed the need for toolkit to build beyond current capabilities (e.g., NCEP) Identified (and began to address) 3 major questions:

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Contingency tables and association statistics

Contingency tables and association statistics. (from Chapter 9). 1. Association between qualitative variables. Association is a generic term referring to the relationship of two variables Correlation measures strictly refer to quantitative variables

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Contingency Tables: What fraction of survivors were in second class?

Contingency Tables: What fraction of survivors were in second class?. 118/2201 285/2201 118/710 285/710. 10. Contingency Tables: What fraction of passengers were in second class and survivors?. 118/2201 118/285 118/710 285/710. 10.

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