STATISTICAL TEST.

Slides:



Advertisements
Similar presentations
Non-parametric tests, part A:
Advertisements

CHOOSING A STATISTICAL TEST © LOUIS COHEN, LAWRENCE MANION & KEITH MORRISON.
Ordinal Data. Ordinal Tests Non-parametric tests Non-parametric tests No assumptions about the shape of the distribution No assumptions about the shape.
INTRODUCTION TO NON-PARAMETRIC ANALYSES CHI SQUARE ANALYSIS.
statistics NONPARAMETRIC TEST
Correlation. Introduction Two meanings of correlation –Research design –Statistical Relationship –Scatterplots.
PARAMETRIC AND NONPARAMETRIC TEST. Parametric Test  If the information about the population is completely known by means of its parameters then statistical.
PSYC512: Research Methods PSYC512: Research Methods Lecture 10 Brian P. Dyre University of Idaho.
Chapter Seventeen HYPOTHESIS TESTING
1 Analysis of variance (ANOVA) Week 11 lecture 1.
Basic Statistical Review
Decision Tree Type of Data Qualitative (Categorical) Type of Categorization One Categorical Variable Chi-Square – Goodness-of-Fit Two Categorical Variables.
Chapter 13 Analyzing Quantitative data. LEVELS OF MEASUREMENT Nominal Measurement Ordinal Measurement Interval Measurement Ratio Measurement.
Chapter 14 Analyzing Quantitative Data. LEVELS OF MEASUREMENT Nominal Measurement Nominal Measurement Ordinal Measurement Ordinal Measurement Interval.
Parametric Tests 1) Assumption of population normality 2) homogeneity of variance Parametric more powerful than nonparametric.
ONE-WAY REPEATED MEASURES ANOVA What is the Purpose? What are the Assumptions? How Does it Work? What is the Non-Parametric Replacement?
CHI-SQUARE GOODNESS OF FIT TEST What Are Nonparametric Statistics? What is the Purpose of the Chi-Square GOF? What Are the Assumptions? How Does it Work?
PSYC512: Research Methods PSYC512: Research Methods Lecture 9 Brian P. Dyre University of Idaho.
Biostatistics in Research Practice: Non-parametric tests Dr Victoria Allgar.
Marshall University School of Medicine Department of Biochemistry and Microbiology BMS 617 Lecture 14: Non-parametric tests Marshall University Genomics.
1 PARAMETRIC VERSUS NONPARAMETRIC STATISTICS Heibatollah Baghi, and Mastee Badii.
Non-Parametric Methods Professor of Epidemiology and Biostatistics
Quiz 12  Nonparametric statistics. 1. Which condition is not required to perform a non- parametric test? a) random sampling of population b) data are.
Review I volunteer in my son’s 2nd grade class on library day. Each kid gets to check out one book. Here are the types of books they picked this week:
Quantitative Methods: Choosing a statistical test Summer School June 2015 Dr. Tracie Afifi.
Chapter 9 Two-Sample Tests Part II: Introduction to Hypothesis Testing Renee R. Ha, Ph.D. James C. Ha, Ph.D Integrative Statistics for the Social & Behavioral.
AM Recitation 2/10/11.
ANALYSIS OF VARIANCE. Analysis of variance ◦ A One-way Analysis Of Variance Is A Way To Test The Equality Of Three Or More Means At One Time By Using.
Hypothesis Testing Charity I. Mulig. Variable A variable is any property or quantity that can take on different values. Variables may take on discrete.
ITEC6310 Research Methods in Information Technology Instructor: Prof. Z. Yang Course Website: c6310.htm Office:
Statistics for the Behavioral Sciences Second Edition Chapter 18: Nonparametric Tests with Ordinal Data iClicker Questions Copyright © 2012 by Worth Publishers.
Non-Parametric Methods Professor of Epidemiology and Biostatistics
Descriptive Statistics e.g.,frequencies, percentiles, mean, median, mode, ranges, inter-quartile ranges, sds, Zs Describe data Inferential Statistics e.g.,
Copyright © 2012 Wolters Kluwer Health | Lippincott Williams & Wilkins Chapter 17 Inferential Statistics.
Copyright © 2008 Wolters Kluwer Health | Lippincott Williams & Wilkins Chapter 22 Using Inferential Statistics to Test Hypotheses.
Statistics Definition Methods of organizing and analyzing quantitative data Types Descriptive statistics –Central tendency, variability, etc. Inferential.
Special Topics 504: Practical Methods in Analyzing Animal Science Experiments The course is: Designed to help familiarize you with the most common methods.
Common Nonparametric Statistical Techniques in Behavioral Sciences Chi Zhang, Ph.D. University of Miami June, 2005.
Nonparametric Statistical Methods: Overview and Examples ETM 568 ISE 468 Spring 2015 Dr. Joan Burtner.
CHAPTER 14: Nonparametric Methods to accompany Introduction to Business Statistics seventh edition, by Ronald M. Weiers Presentation by Priscilla Chaffe-Stengel.
EDLD 6392 Advanced Topics in Statistical Reasoning Texas A&M University-Kingsville Research Designs and Statistical Procedures.
Statistical analysis Prepared and gathered by Alireza Yousefy(Ph.D)
Chapter 14 Nonparametric Tests Part III: Additional Hypothesis Tests Renee R. Ha, Ph.D. James C. Ha, Ph.D Integrative Statistics for the Social & Behavioral.
Nonparametric Statistical Methods: Overview and Examples IDM 404 ISE 482 Spring 2010 Dr. Joan Burtner.
Experimental Design and Statistics. Scientific Method
Chapter 13 CHI-SQUARE AND NONPARAMETRIC PROCEDURES.
ANALYSIS PLAN: STATISTICAL PROCEDURES
B AD 6243: Applied Univariate Statistics Non-Parametric Statistics Professor Laku Chidambaram Price College of Business University of Oklahoma.
Research Methods: 2 M.Sc. Physiotherapy/Podiatry/Pain Inferential Statistics.
Statistics in Applied Science and Technology Chapter14. Nonparametric Methods.
Analisis Non-Parametrik Antonius NW Pratama MK Metodologi Penelitian Bagian Farmasi Klinik dan Komunitas Fakultas Farmasi Universitas Jember.
Nonparametric Statistics
Principles of statistical testing
Biostatistics Nonparametric Statistics Class 8 March 14, 2000.
Value Stream Management for Lean Healthcare ISE 491 Fall 2009 Data Analysis - Lecture 7.
Chapter 21prepared by Elizabeth Bauer, Ph.D. 1 Ranking Data –Sometimes your data is ordinal level –We can put people in order and assign them ranks Common.
Nonparametric Tests with Ordinal Data Chapter 18.
Hypothesis Testing Procedures Many More Tests Exist!
 Kolmogor-Smirnov test  Mann-Whitney U test  Wilcoxon test  Kruskal-Wallis  Friedman test  Cochran Q test.
Nonparametric statistics. Four levels of measurement Nominal Ordinal Interval Ratio  Nominal: the lowest level  Ordinal  Interval  Ratio: the highest.
Nonparametric Statistics Overview. Objectives Understand Difference between Parametric and Nonparametric Statistical Procedures Nonparametric methods.
McGraw-Hill/Irwin © 2003 The McGraw-Hill Companies, Inc.,All Rights Reserved. Part Four ANALYSIS AND PRESENTATION OF DATA.
PHL Test of Significance: General Purpose The idea of significance testing. If we have a basic knowledge of the underlying distribution of a variable,
 Test adopted depends on a number of factors: ◦ Design of study (e.g. within or between-participants?) ◦ Number of variables ◦ The nature of the data.
Non-Parametric Tests 12/1.
Non-Parametric Tests 12/1.
Non-Parametric Tests 12/6.
Parametric vs Non-Parametric
Non-Parametric Tests.
Non-parametric tests, part A:
Presentation transcript:

STATISTICAL TEST

Two types of statistical test: Parametric tests: Based on assumption that the data have certain characteristics or "parameters": Results are only valid if (a) the data are normally distributed; (b) the data show homogeneity of variance; (c) the data are measurements on an interval or ratio scale. group 1: M = 8.19 (SD= 1.33), group 2: M = 11.46 (SD = 9.18)

Nonparametric tests: Make no assumptions about the data's characteristics. Use if any of the three properties below are true: (a) the data are not normally distributed (e.g. skewed); (b) the data show inhomogeneity of variance; (c) the data are measured on an ordinal scale (ranks).

Examples of parametric tests and their non-parametric equivalents: Parametric test: Non-parametric counterpart: Pearson correlation Spearman's correlation (No equivalent test) Chi-Square test Independent-means t-test Mann-Whitney test Dependent-means t-test Wilcoxon test One-way Independent Measures Analysis of Variance (ANOVA) Kruskal-Wallis test One-way Repeated-Measures ANOVA Friedman's test