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Chi square - PowerPoint PPT Presentation


Medical Statistics as a science

Medical Statistics as a science

Medical Statistics as a science. Why Do Statistics?. Extrapolate from data collected to make general conclusions about larger population from which data sample was derived Allows general conclusions to be made from limited amounts of data

By Pat_Xavi
(380 views)

Examples

Examples

Examples. Path Model 1. Simple mediation model. Much of the influence of Family Background (SES) is indirect. Path Model 2. Additional mediator. Path Model 2. Model Chisquare = 20.045 Df = 1 Pr(>Chisq) = 7.5654e-06 Chisquare (null model) = 1082.2 Df = 6

By elina
(197 views)

Chi-Square Test

Chi-Square Test

Chi-Square Test. Dr Kishor Bhanushali. Chi-Square Test. Chi-square, symbolically written as χ2 (Pronounced as Ki -square), is a statistical measure used in the context of sampling analysis for comparing a variance to a theoretical variance.

By Albert_Lan
(1113 views)

INF397C Introduction to Research in Information Studies Spring, 2005 Day 13

INF397C Introduction to Research in Information Studies Spring, 2005 Day 13

INF397C Introduction to Research in Information Studies Spring, 2005 Day 13. Confidence Intervals. We calculate a confidence interval for a population parameter. The mean of a random sample from a population is a point estimate of the population mean.

By crete
(138 views)

3nd meeting:

3nd meeting:

3nd meeting: Multilevel modeling: introducing level 1 (individual) and level 2 (contextual) variables + interactions Subjects for today: Intra Class Correlation once more Including individual (level 1) variables Including contextual (level 2) variables (cross level) interactions.

By garin
(157 views)

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

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.

By kolina
(266 views)

Cross Tabulation

Cross Tabulation

Cross Tabulation. Statistical Analysis of Categorical Variables. To date…. We have examined statistical tests for differences of means and proportions The statistics are measured at the interval level. New Test….

By shirin
(361 views)

Chapter 11: Inference for Distributions of Categorical Data

Chapter 11: Inference for Distributions of Categorical Data

Chapter 11: Inference for Distributions of Categorical Data. 11.1 Chi-Square Goodness-of-Fit Tests. Section 11.1 Chi-Square Goodness-of-Fit Tests. COMPUTE expected counts, conditional distributions, and contributions to the chi-square statistic

By bert
(177 views)

Introduction: Themes in the study of life

Introduction: Themes in the study of life

Chapter 1. Introduction: Themes in the study of life. AP Biology. Big Idea 1 - Evolution Constant theme in Biology Big Idea 2 - Energy Constantly moving through living organisms Big Idea 3 - Information Store, Retrieve, Transmit, Respond Big Idea 4 - Systems

By ostinmannual
(591 views)

Outline of Today’s Discussion

Outline of Today’s Discussion

Outline of Today’s Discussion. The Chi-Square Test of Independence The Chi-Square Test of Goodness of Fit. Part 1. Chi-Square Test of Independence. Chi-Square: Independence.

By honey
(160 views)

Statistical NLP: Lecture 7

Statistical NLP: Lecture 7

Statistical NLP: Lecture 7. Collocations. Introduction. Collocations are characterized by limited compositionality . Large overlap between the concepts of collocations and terms , technical term and terminological phrase .

By ornice
(198 views)

Integrating domain knowledge with statistical and data mining methods for high-density genomic SNP disease association a

Integrating domain knowledge with statistical and data mining methods for high-density genomic SNP disease association a

Integrating domain knowledge with statistical and data mining methods for high-density genomic SNP disease association analysis. Dinu et al, J. Biomedical Informatics 40 (2007) 750-760. Pathway/SNP.

By duff
(166 views)

Introduction to Statistics − Day 2

Introduction to Statistics − Day 2

Introduction to Statistics − Day 2. Lecture 1 Probability Random variables, probability densities, etc. Lecture 2 Brief catalogue of probability densities The Monte Carlo method. Lecture 3 Statistical tests Fisher discriminants, neural networks, etc

By patch
(146 views)

Features

Features

Features. LING 572 Fei Xia 1/23/2007. Features. Define feature templates Instantiate the feature templates Dimensionality reduction: feature selection Feature weighting The weight for f k : the whole column The weight for f k in d i : a cell. An example. Define feature templates:

By nibaw
(155 views)

Chi Square Test

Chi Square Test

Chi Square Test. A statistical method used to determine goodness of fit Goodness of Fit : how close the observed data are to those predicted from a hypothesis It does not prove that a hypothesis is correct

By micheal
(141 views)

Introduction: Themes in the study of life

Introduction: Themes in the study of life

Chapter 1. Introduction: Themes in the study of life. AP Biology. Big Idea 1 - Evolution Constant theme in Biology Big Idea 2 - Energy Constantly moving through living organisms Big Idea 3 - Information Store, Retrieve, Transmit, Respond Big Idea 4 - Systems

By marlow
(101 views)

CHI Square

CHI Square

is used when we have categorical (nominal) rather than interval / ratio data can also be used for measurement data, is less powerful and than typical tests such as means. CHI Square.

By fulbright
(136 views)

Driving Habits of Visually Impaired Drivers Who Use Bioptic Telescopes

Driving Habits of Visually Impaired Drivers Who Use Bioptic Telescopes

Driving Habits of Visually Impaired Drivers Who Use Bioptic Telescopes. Alex Bowers, Doris Apfelbaum and Eli Peli. Bioptic Telescopes. For people with reduced visual acuity Spectacle mounted Distance spotting Most of time look through carrier lens. Driving with Bioptic. Background.

By Audrey
(263 views)

Procurement Fraud

Procurement Fraud

Procurement Fraud. November 11, 2008. Mike Blakley. Detection and Prevention. Session objectives. Current trends, techniques and best practices Understand statistical basis for analysis Procurement cards (p-cards) Understand use of Excel. Top Six Indicators That you might have a fraud.

By erno
(350 views)

CATEGORICAL DATA & χ 2

CATEGORICAL DATA & χ 2

CATEGORICAL DATA & χ 2. A Quick Look Back. Reminder about hypothesis testing: 1) Assume what you believe (H 1 ) is wrong. Construct H 0 and accept it as a default. 2) Show that some event is of sufficiently low probability given H 0 ***. 3) Reject H 0 .

By corinna
(164 views)

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