Training Course on Basic Statistics for Research August 24-28, 2009 STATISTICAL RESEARCH AND TRAINING CENTER J and S Building, 104 Kalayaan Avenue, Diliman,

Slides:



Advertisements
Similar presentations
Descriptive Statistics-II
Advertisements

Chapter 3 Properties of Random Variables
Appendix A. Descriptive Statistics Statistics used to organize and summarize data in a meaningful way.
2-3 We use a visual tool called a histogram to analyze the shape of the distribution of the data.
A.P. Psychology Statistics Notes. Correlation  The way 2 factors vary together and how well one predicts the other  Positive Correlation- direct relationship.
B a c kn e x t h o m e Parameters and Statistics statistic A statistic is a descriptive measure computed from a sample of data. parameter A parameter is.
Probability Distributions
Data Summary Using Descriptive Measures Introduction to Business Statistics, 5e Kvanli/Guynes/Pavur (c)2000 South-Western College Publishing.
Discrete and Continuous Random Variables Continuous random variable: A variable whose values are not restricted – The Normal Distribution Discrete.
Measures of Central Tendency Section 2.3 Statistics Mrs. Spitz Fall 2008.
Chapter 13 Statistics © 2008 Pearson Addison-Wesley. All rights reserved.
Describing Data: Numerical
Summarizing Scores With Measures of Central Tendency
B AD 6243: Applied Univariate Statistics Understanding Data and Data Distributions Professor Laku Chidambaram Price College of Business University of Oklahoma.
Copyright © 2013, 2009, and 2007, Pearson Education, Inc. 1 PROBABILITIES FOR CONTINUOUS RANDOM VARIABLES THE NORMAL DISTRIBUTION CHAPTER 8_B.
Training Course on Basic Statistics for Research August 24-28, 2009 STATISTICAL RESEARCH AND TRAINING CENTER J and S Building, 104 Kalayaan Avenue, Diliman,
Copyright © 2011 Pearson Education, Inc. Putting Statistics to Work.
Chapter 13 Section 7 – Slide 1 Copyright © 2009 Pearson Education, Inc. AND.
STATISTICS I COURSE INSTRUCTOR: TEHSEEN IMRAAN. CHAPTER 4 DESCRIBING DATA.
Chapter 12 – Probability and Statistics 12.7 – The Normal Distribution.
Measures of Variability OBJECTIVES To understand the different measures of variability To determine the range, variance, quartile deviation, mean deviation.
“STANDARD DEVIATION” Standard Deviation: Std deviation is the best and scientific method of dispersion. It is widely used method used in statistical.
COURSE: JUST 3900 INTRODUCTORY STATISTICS FOR CRIMINAL JUSTICE Instructor: Dr. John J. Kerbs, Associate Professor Joint Ph.D. in Social Work and Sociology.
© 2008 Pearson Addison-Wesley. All rights reserved Chapter 1 Section 13-5 The Normal Distribution.
Normal Distributions.  Symmetric Distribution ◦ Any normal distribution is symmetric Negatively Skewed (Left-skewed) distribution When a majority of.
Measures of Position & Exploratory Data Analysis
Training Course on Basic Statistics for Research August 24-28, 2009 STATISTICAL RESEARCH AND TRAINING CENTER J and S Building, 104 Kalayaan Avenue, Diliman,
Skewness & Kurtosis: Reference
Copyright © 2013, 2009, and 2007, Pearson Education, Inc. Chapter 6 Probability Distributions Section 6.2 Probabilities for Bell-Shaped Distributions.
TYPES OF STATISTICAL METHODS USED IN PSYCHOLOGY Statistics.
© 2010 Pearson Prentice Hall. All rights reserved. CHAPTER 12 Statistics.
Measurement of Skewness
©2003 Thomson/South-Western 1 Chapter 3 – Data Summary Using Descriptive Measures Slides prepared by Jeff Heyl, Lincoln University ©2003 South-Western/Thomson.
Descriptive Statistics Review – Chapter 14. Data  Data – collection of numerical information  Frequency distribution – set of data with frequencies.
THE NATURE OF STATISTICS Copyright © Cengage Learning. All rights reserved. 14.
Symbol Description It would be a good idea now to start looking at the symbols which will be part of your study of statistics.  The uppercase Greek letter.
Data Summary Using Descriptive Measures Sections 3.1 – 3.6, 3.8
Educational Research: Competencies for Analysis and Application, 9 th edition. Gay, Mills, & Airasian © 2009 Pearson Education, Inc. All rights reserved.
By Tatre Jantarakolica1 Fundamental Statistics and Economics for Evaluating Survey Data of Price Indices.
Statistics Josée L. Jarry, Ph.D., C.Psych. Introduction to Psychology Department of Psychology University of Toronto June 9, 2003.
Distributions: The nature or shape of the data within its range. File Information: 7 Slides To Print : You may need to save this to your p: drive or jump.
Data Description Note: This PowerPoint is only a summary and your main source should be the book. Lecture (8) Lecturer : FATEN AL-HUSSAIN.
15.5 The Normal Distribution. A frequency polygon can be replaced by a smooth curve A data set that is normally distributed is called a normal curve.
GROUPED DATA LECTURE 5 OF 6 8.DATA DESCRIPTIVE SUBTOPIC
CHAPTER 5: THE NORMAL DISTRIBUTION Leon-Guerrero and Frankfort-Nachmias, Essentials of Statistics for a Diverse Society.
Describing Distributions
Distributions: The nature or shape of the data within its range.
Introduction to Normal Distributions
The Normal Distribution
Skewness Skewness literaly means lack of symmetary. Thus it helps us to understand the shape of distributions.
Chapter 12 Statistics 2012 Pearson Education, Inc.
Summarizing Scores With Measures of Central Tendency
Elementary Statistics: Picturing The World
Statistics and Probability
Density Curves, mean and median
Histograms: Earthquake Magnitudes
ANATOMY OF THE STANDARD NORMAL CURVE
Numerical Measures: Skewness and Location
Descriptive Statistics: Describing Data
7-7 Statistics The Normal Curve.
Section 2.1 Density Curves & the Normal Distributions
Chapter 7 (Probability)
CHAPTER 12 Statistics.
Moments Presented By Miss. Amunekar Shubhangi Mahadev.
Section 13.6 The Normal Curve
Introduction to Normal Distributions
Chapter 5 Normal Probability Distributions.
12-4 Normal Distribution.
Introduction to Normal Distributions
Chapter 12 Statistics.
Presentation transcript:

Training Course on Basic Statistics for Research August 24-28, 2009 STATISTICAL RESEARCH AND TRAINING CENTER J and S Building, 104 Kalayaan Avenue, Diliman, Quezon City Measures of Skewness Prepared by: Josefina V. Almeda Professor and College Secretary School of Statistics University of the Philippines, Diliman August 2009

2 Statistical Research and Training Center Training Course on Basic Statistics for Research August , 2009 Symmetric Distribution * a distribution is symmetric if it can be folded along the vertical axis so that the two sides coincide * if the distribution is symmetric, the mean, the median, and the mode are equal and are located at the same position along the horizontal axis

3 Statistical Research and Training Center Training Course on Basic Statistics for Research August , 2009

4 Statistical Research and Training Center Training Course on Basic Statistics for Research August , 2009 Skewed Distribution * if the two sides do not coincide, distribution is said to be asymmetric * a distribution that is asymmetric with respect to a vertical axis is said to be skewed.

5 Statistical Research and Training Center Training Course on Basic Statistics for Research August , 2009 Two Types of Skewness Positively Skewed or Skewed to the Right Distribution * distribution tapers more to the right than to the left * has a longer tail to the right compared to a much shorter left tail * values are more concentrated below than above the mean * large values in the right tail are not offset by correspondingly low values in the left tail and consequently the mean will be greater than the median

6 Statistical Research and Training Center Training Course on Basic Statistics for Research August , 2009

7 Statistical Research and Training Center Training Course on Basic Statistics for Research August , 2009 Negatively Skewed or Skewed to the Left Distribution * distribution tapers more to the left than to the right * has longer tail to the left compared to a much shorter right tail * values are more concentrated above than below the mean * small values in the left tail will make the mean less than the median

8 Statistical Research and Training Center Training Course on Basic Statistics for Research August , 2009

9 Statistical Research and Training Center Training Course on Basic Statistics for Research August , 2009 Measure of skewness * shows the degree of asymmetry, or departure from symmetry of a distribution * indicates also the direction of the distribution

10 Statistical Research and Training Center Training Course on Basic Statistics for Research August , 2009 Pearson’s First and Second Coefficient of Skewness where= mean, Mo = mode, s = standard deviation SK = Remarks: 1.Since the mode is frequently only an approximation, formula 2 is preferred. 2.Interpretation of the measure of skewness: where Md = median, s = standard deviation SK > 0:positively skewed since> Md > Mo SK < 0: negatively skewed since< Md < Mo

11 Statistical Research and Training Center Training Course on Basic Statistics for Research August , 2009 Example: Given the following statistics on weights of court justices in kilograms: =74.1Md = 75Mo = 84s = Using the first formula, SK = (skewed to the left) Using the second formula, SK =(skewed to the left)

Training Course on Basic Statistics for Research August 24-28, 2009 STATISTICAL RESEARCH AND TRAINING CENTER J and S Building, 104 Kalayaan Avenue, Diliman, Quezon City Thank you.