Basic Statistical Review

Slides:



Advertisements
Similar presentations
Jamil A. Malik (PhD) National Institute of Psychology Quaid-e-Azam Univeristy.
Advertisements

Population vs. Sample Population: A large group of people to which we are interested in generalizing. parameter Sample: A smaller group drawn from a population.
To Select a Descriptive Statistic
CHOOSING A STATISTICAL TEST © LOUIS COHEN, LAWRENCE MANION & KEITH MORRISON.
S519 Statistical Sessions Wrap up. Things we’ve covered Descriptive Statistics Normal Distributions Z-test Hypothesis Testing T-test ANOVA Correlation.
Statistics. Review of Statistics Levels of Measurement Descriptive and Inferential Statistics.
Statistical Tests Karen H. Hagglund, M.S.
Statistics.
Scales of Measurement n Nominal classificationlabels mutually exclusive exhaustive different in kind, not degree.
PSYC512: Research Methods PSYC512: Research Methods Lecture 10 Brian P. Dyre University of Idaho.
QUANTITATIVE DATA ANALYSIS
Intro to Statistics for the Behavioral Sciences PSYC 1900
Chapter 13 Conducting & Reading Research Baumgartner et al Data Analysis.
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.
Descriptive Statistics
Analysis of Research Data
Chapter 19 Data Analysis Overview
Educational Research by John W. Creswell. Copyright © 2002 by Pearson Education. All rights reserved. Slide 1 Chapter 8 Analyzing and Interpreting Quantitative.
A SYSTEM FOR CHOOSING STATISTICS u What type of design do you have? u What do you want to find out? u What type of data do you have?
Data observation and Descriptive Statistics
Summary of Quantitative Analysis Neuman and Robson Ch. 11
Statistical Analysis KSE966/986 Seminar Uichin Lee Oct. 19, 2012.
Statistical Analysis I have all this data. Now what does it mean?
Hypothesis Testing Charity I. Mulig. Variable A variable is any property or quantity that can take on different values. Variables may take on discrete.
Chapter 3 Statistical Concepts.
EPE/EDP 557 Key Concepts / Terms –Empirical vs. Normative Questions Empirical Questions Normative Questions –Statistics Descriptive Statistics Inferential.
Class Meeting #11 Data Analysis. Types of Statistics Descriptive Statistics used to describe things, frequently groups of people.  Central Tendency 
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.
Research Methods in Human-Computer Interaction
Statistical Analysis. Statistics u Description –Describes the data –Mean –Median –Mode u Inferential –Allows prediction from the sample to the population.
Kanchana Prapphal, Chulalongkorn University Statistics for Language Teachers Kanchana prapphal May 23, 2002 Kasetsart University.
METHODS IN BEHAVIORAL RESEARCH NINTH EDITION PAUL C. COZBY Copyright © 2007 The McGraw-Hill Companies, Inc.
FOUNDATIONS OF NURSING RESEARCH Sixth Edition CHAPTER Copyright ©2012 by Pearson Education, Inc. All rights reserved. Foundations of Nursing Research,
Describing Data Lesson 3. Psychology & Statistics n Goals of Psychology l Describe, predict, influence behavior & cognitive processes n Role of statistics.
Research Seminars in IT in Education (MIT6003) Quantitative Educational Research Design 2 Dr Jacky Pow.
Determination of Sample Size: A Review of Statistical Theory
Review Hints for Final. Descriptive Statistics: Describing a data set.
STATISTICAL ANALYSIS FOR THE MATHEMATICALLY-CHALLENGED Associate Professor Phua Kai Lit School of Medicine & Health Sciences Monash University (Sunway.
Experimental Design and Statistics. Scientific Method
ANALYSIS PLAN: STATISTICAL PROCEDURES
Inferential Statistics. The Logic of Inferential Statistics Makes inferences about a population from a sample Makes inferences about a population from.
© 2011 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part, except for use as permitted in a license.
Chapter Eight: Using Statistics to Answer Questions.
Chap 18-1 Copyright ©2012 Pearson Education, Inc. publishing as Prentice Hall Chap 18-1 Chapter 18 A Roadmap for Analyzing Data Basic Business Statistics.
Statistics as a Tool A set of tools for collecting, organizing, presenting and analyzing numerical facts or observations.
IMPORTANCE OF STATISTICS MR.CHITHRAVEL.V ASST.PROFESSOR ACN.
Principles of statistical testing
Biostatistics Nonparametric Statistics Class 8 March 14, 2000.
Scales of Measurement n Nominal classificationlabels mutually exclusive exhaustive different in kind, not degree.
STATISTICAL TEST.
Power Point Slides by Ronald J. Shope in collaboration with John W. Creswell Chapter 7 Analyzing and Interpreting Quantitative Data.
Measures of Central Tendency (MCT) 1. Describe how MCT describe data 2. Explain mean, median & mode 3. Explain sample means 4. Explain “deviations around.
Nonparametric statistics. Four levels of measurement Nominal Ordinal Interval Ratio  Nominal: the lowest level  Ordinal  Interval  Ratio: the highest.
Interpretation of Common Statistical Tests Mary Burke, PhD, RN, CNE.
PSY 325 AID Education Expert/psy325aid.com FOR MORE CLASSES VISIT
Chapter 15 Analyzing Quantitative Data. Levels of Measurement Nominal measurement Involves assigning numbers to classify characteristics into categories.
Statistics and probability Dr. Khaled Ismael Almghari Phone No:
Chapter 18 Data Analysis Overview Yandell – Econ 216 Chap 18-1.
Module 6: Descriptive Statistics
Georgi Iskrov, MBA, MPH, PhD Department of Social Medicine
Introduction to Statistics
Basic Statistical Terms
Georgi Iskrov, MBA, MPH, PhD Department of Social Medicine
Introductory Statistics
Examine Relationships
Presentation transcript:

Basic Statistical Review EPS 625 – Intermediate Statistics Robert A. Horn, Ph.D.

The Decision Tree

Key Terms Sample Population Sampling Statistic Representative of the population Commonly symbolized with Roman Letters Population Parameter Commonly symbolized with Greek Letters Sampling Random Sample Random Assignment

Measurement Scales

Key Terms Variables Categorical (Nominal – Ordinal) Discrete Qualitative Frequency Continuous (Interval – Ratio) Quantitative Measurement

Key Terms Independent (Predictor) Variable Active (experimental) Attribute (measured) Dependent (Criterion) Variable Extraneous Variable Confounding Third Variable

Key Terms Descriptive Statistics Inferential Statistics Measures of Central Tendency Mean, Median, Mode Measures of Variability Range, Standard Deviation, Variance Inferential Statistics Parametric Nonparametric

Frequency Distributions

Graphing Data – Constructing a Graph

Distorting Data Through Graphing

Bar Graphs (Categorical Data)

Histograms (Continuous Data)

Stem-and-Leaf Displays

Boxplots

Describing Distributions Symmetric (Normal Distribution) Modality Unimodal, Bi-Modal, Multi (tri)-Modal Skewness Negative, Normal (Symmetrical), Positive Kurtosis Platykurtic, Mesokurtic (Normal), Leptokurtic Linearity Linear or Curvilinear

Describing Distributions

Describing Distributions

Describing Distributions

The Normal Distribution

Summation Notation () One of the most common symbols in statistics is the uppercase Greek letter sigma, (), which is the standard notation for summation. It is readily translated as “add up, or sum, what follows.” The general rule, which always applies, is to perform operations within parentheses before performing operations outside parentheses.

Common Statistical Symbols X A Raw Score Mean of a Sample  Mean of a Population s Standard Deviation of a Sample  Standard Deviation of a Population s 2 Variance of a Sample 2 Variance of a Population

Key Terms Probability Confidence Intervals Effect Size Standard Scores  = Level of Significance p = Probability (Sig.) Confidence Intervals Effect Size d Family r Family Standard Scores z 

Hypothesis Testing

Non-Directional (two-tailed)

Directional (one-tailed – negative end)

Directional (one-tailed – positive end)

Statistical Results and APA t(9) = 5.08, p < .05, d = 1.61 F(2, 57) = 9.75, p < .01, 2 = .42 | = Single Space NOT t(9)=5.08,p<.05,d=1.61 F(2,57)=9.75,p<.01,2=.42