'Chi square' presentation slideshows

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.

1.27k views • 84 slides

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.

859 views • 48 slides

Cross Tabulation

913 views • 44 slides

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:

577 views • 41 slides

CATEGORICAL DATA & ? 2

CATEGORICAL DATA & ? 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 .

587 views • 41 slides

511 views • 34 slides

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

932 views • 32 slides

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

434 views • 32 slides

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

503 views • 30 slides

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

465 views • 28 slides

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.

414 views • 27 slides

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.

418 views • 23 slides

Chi-Square Test

Chi-Square Test. Dr Kishor Bhanushali. Chi-Square Test. Chi-square, symbolically written as ?2 (Pronounced as Ki -square), is a statistical measure used in the context of sampling analysis for comparing a variance to a theoretical variance.

1.51k views • 20 slides

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.

534 views • 20 slides

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

602 views • 17 slides

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.

402 views • 17 slides

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.

326 views • 16 slides

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 .

393 views • 16 slides

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

359 views • 12 slides

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

446 views • 10 slides