'Nonparametric tests' presentation slideshows

class 6 10/13/08 intro to statistical methods

class 6 10/13/08 intro to statistical methods. Research

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Hypothesis Testing with z Tests

Hypothesis Testing with z Tests. Chapter 7. The z Table. Benefits of standardization: allowing fair comparisons z table: provides percentage of scores between the mean and a given z score. Raw Scores, z Scores, and Percentages. Step 1: Convert raw score to z score

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Anatomical Measures John Ashburner John@fil.Ion.Ucl.Ac.Uk

Anatomical Measures John Ashburner John@fil.Ion.Ucl.Ac.Uk. Segmentation Morphometry. Contents. Segmentation Gaussian mixture model Including prior probability maps Intensity non-uniformity correction Morphometry. Segmentation - Mixture Model.

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Univariate and Bivariate Analysis

Univariate and Bivariate Analysis (Source: W.G Zikmund, B.J Babin, J.C Carr and M. Griffin, Business Research Methods, 8th Edition, U.S, South-Western Cengage Learning, 20. Types of Statistical Analysis. Univariate Statistical Analysis Tests of hypotheses involving only one variable.

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Ch10 Nonparametric Tests

Ch10 Nonparametric Tests. Outline. Introduction The sign test Rank-sum tests Tests of randomness The Kolmogorov-Smirnov and Anderson-Darling Tests. Introduction.

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Psych 5500/6500

Psych 5500/6500. Data Transformations. Fall, 2008. Data Transformations.

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Race and Gender Discrimination in Bargaining for a New Car

Race and Gender Discrimination in Bargaining for a New Car. Ian Ayres Peter Siegelman. The Method. 4 Groups Analyzed White Males White Females Black Males Black Females Audit Technique Pairs (one always white male). The Method. 38 testers 306 cars 153 dealerships in Chicago

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Tuesday PM

Tuesday PM. Presentation of AM results What are nonparametric tests? Nonparametric tests for central tendency Mann-Whitney U test (aka Wilcoxon rank-sum test) Sign test, Wilcoxon signed-ranks test Nonparametric ANOVA Chi-squared. Nonparametric tests.

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The CHI SQUARE Statistic

The CHI SQUARE Statistic. Tests for Goodness of Fit and Independence. Preview. Color is known to affect human moods and emotion. Sitting in a pale-blue room is more calming than sitting in a bright-red room

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MST Stats Primer

MST Stats Primer. This is a 30 minute overview of a 4 hour tutorial presented at a National Conference. The full handouts from that tutorial can be found on my class web site on dupontmanual.com. KEY .

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Survey of Statistical Methods We will be meeting in the Computer Lab today

Survey of Statistical Methods We will be meeting in the Computer Lab today. April 27, 2005. Chi Square Test of Independence. Purpose To determine if two variables of interest independent (not related) or are related (dependent)?

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NONPARAMETRIC TESTS

NONPARAMETRIC TESTS. When to use. When data is clearly ordinal or nominal. When we have a very skewed distribution. Chi Square ? 2. Goodness of fit (One sample case) . H o : there is no difference in the expected number of winners starting from each post position . df = C - 1 = 7.

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Experimental Psychology PSY 433

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RES 342 UOP Tutorial Course/ Uoptutorial

RES 342 Week 1 Individual Assignment Hypothesis Identification Article Analysis RES 342 Week 1 Individual Assignment E-Text RES 342 Week 2 Individual Assignment E-Text RES 342 Week 2 Individual Quiz RES 342 Week 2 Team Assignment One Sample Hypothesis Testing Paper RES 342 Week 3 Individual Assignment E-Text RES 342 Week 3 Individual Assignment Applying Analysis of Variance (ANOVA) and Nonparametric Tests Simulation RES 342 Week 3 Team Assignment Two or More Sample Hypothesis Testing Paper RES 342 Week 4 Individual Assignment E Text RES 342 Week 4 Individual Assignment Parametric and Nonparametric Data Identification Assignment RES 342 Week 4 Individual Quiz RES 342 Week 4 Team Assignment Nonparametric Hypothesis Testing Paper RES 342 Week 5 Individual E Text RES 342 Week 5 Individual Assignment Applying Time Series Methodologies Simulation RES 342 Week 5 Team Assignment Regression Paper

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Chapter 17 Chi-Square and other Nonparametric Tests

Chapter 17 Chi-Square and other Nonparametric Tests. James A. Van Slyke Azusa Pacific University. Distinctions between Parametric and Nonparametric Tests. Parametric tests (e. g. t, z) depend substantially on population characteristics

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Nonparametric Tests

Nonparametric Tests . Nonparametric tests are those that do not rely on probability distributions for population parameters They are used when Data are badly skewed Sample sizes are small Data are not on an interval or ratio scale . Chi-Square and Goodness of Fit Test.

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