LowHigh Equal Distance Quantification Individual Differences 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20.

Slides:



Advertisements
Similar presentations
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.
Advertisements

Richard M. Jacobs, OSA, Ph.D.
University of Durham D Dr Robert Coe University of Durham School of Education Tel: (+44 / 0) Fax: (+44 / 0)
Descriptive Statistics
Statistics.
Review of Basics. REVIEW OF BASICS PART I Measurement Descriptive Statistics Frequency Distributions.
Types of Measurement Continuous –Underlying continuum Index of amount Intermediate numbers make sense Discreet –Is or is not –Usually use only whole numbers.
Graphing Data.  Frequency Distributions DVFreq
Business Statistics: A Decision-Making Approach, 7e © 2008 Prentice-Hall, Inc. Chap 3-1 Business Statistics: A Decision-Making Approach 7 th Edition Chapter.
Descriptive Statistics
B a c kn e x t h o m e Classification of Variables Discrete Numerical Variable A variable that produces a response that comes from a counting process.
Chapter Two Descriptive Statistics McGraw-Hill/Irwin Copyright © 2004 by The McGraw-Hill Companies, Inc. All rights reserved.
z-Scores What is a z-Score? How Are z-Scores Useful? Distributions of z-Scores Standard Normal Curve.
Topics: Descriptive Statistics A road map Examining data through frequency distributions Measures of central tendency Measures of variability The normal.
Intro to Statistics for the Behavioral Sciences PSYC 1900 Lecture 4: The Normal Distribution and Z-Scores.
Data observation and Descriptive Statistics
Variability Ibrahim Altubasi, PT, PhD The University of Jordan.
Central Tendency and Variability Chapter 4. Central Tendency >Mean: arithmetic average Add up all scores, divide by number of scores >Median: middle score.
2 Textbook Shavelson, R.J. (1996). Statistical reasoning for the behavioral sciences (3 rd Ed.). Boston: Allyn & Bacon. Supplemental Material Ruiz-Primo,
Quiz 2 Measures of central tendency Measures of variability.
12.4 – Measures of Position In some cases, the analysis of certain individual items in the data set is of more interest rather than the entire set. It.
Exploratory Data Analysis. Computing Science, University of Aberdeen2 Introduction Applying data mining (InfoVis as well) techniques requires gaining.
Stats 95 Statistical analysis without compelling presentation is annoying at best and catastrophic at worst. From raw numbers to meaningful pictures.
Descriptive Statistics
APPENDIX B Data Preparation and Univariate Statistics How are computer used in data collection and analysis? How are collected data prepared for statistical.
Methods for Describing Sets of Data
Statistical Tools in Evaluation Part I. Statistical Tools in Evaluation What are statistics? –Organization and analysis of numerical data –Methods used.
Descriptive Statistics I REVIEW Measurement scales Nominal, Ordinal, Continuous (interval, ratio) Summation Notation: 3, 4, 5, 5, 8Determine: ∑ X, (∑ X)
Business Statistics Outline Dealing with decision problem when the face of uncertainty are important. Descriptive Statistics Sampling and Sampling Distributions.
Table of Contents 1. Standard Deviation
Descriptive Statistics
UTOPPS—Fall 2004 Teaching Statistics in Psychology.
1 Elementary Statistics Larson Farber Descriptive Statistics Chapter 2.
Larson/Farber Ch 2 1 Elementary Statistics Larson Farber 2 Descriptive Statistics.
Do Now Find the mean, median, mode, and range of each data set and then state which measure of central tendency best represents the data. 1)2, 3, 3, 3,
LECTURE CENTRAL TENDENCIES & DISPERSION POSTGRADUATE METHODOLOGY COURSE.
Psy 230 Jeopardy Measurement Research Strategies Frequency Distributions Descriptive Stats Grab Bag $100 $200$200 $300 $500 $400 $300 $400 $300 $400 $500.
Unit 3: Averages and Variations Week 6 Ms. Sanchez.
Summary Statistics: Measures of Location and Dispersion.
Business Statistics, 4e, by Ken Black. © 2003 John Wiley & Sons. 3-1 Business Statistics, 4e by Ken Black Chapter 3 Descriptive Statistics.
Psychology 202a Advanced Psychological Statistics September 8, 2015.
Descriptive Statistics – Graphic Guidelines
Larson/Farber Ch 2 1 Elementary Statistics Larson Farber 2 Descriptive Statistics.
Educational Research: Competencies for Analysis and Application, 9 th edition. Gay, Mills, & Airasian © 2009 Pearson Education, Inc. All rights reserved.
Statistics and Data Analysis
Chapter 14 Statistics and Data Analysis. Data Analysis Chart Types Frequency Distribution.
Describing Data: Summary Measures. Identifying the Scale of Measurement Before you analyze the data, identify the measurement scale for each variable.
Descriptive Statistics
Figure 2-7 (p. 47) A bar graph showing the distribution of personality types in a sample of college students. Because personality type is a discrete variable.
Descriptive Measures Descriptive Measure – A Unique Measure of a Data Set Central Tendency of Data Mean Median Mode 2) Dispersion or Spread of Data A.
Descriptive measures Capture the main 4 basic Ch.Ch. of the sample distribution: Central tendency Variability (variance) Skewness kurtosis.
Teaching Statistics in Psychology
Chapter 3 Measures Of Central Tendency
DS5 CEC Interpreting Sets of Data
Description of Data (Summary and Variability measures)
Chapter 3 Describing Data Using Numerical Measures
Descriptive Statistics
Central Tendency Central Tendency – measures of location for a distribution Mode – the commonly occurring number in a data set Median – the middle score.
Five Number Summary and Box Plots
STA 291 Spring 2008 Lecture 5 Dustin Lueker.
STA 291 Spring 2008 Lecture 5 Dustin Lueker.
Box and Whisker Plots 50% Step 1 – Order the series.
Evaluation and Assessment of the Individual: Week 2 Discussion
Bellwork 4/24 A students’ test scores on 6 tests were; 84, 76, 80, 64, 92, and 84. Find the average test score.
Warm Up # 3: Answer each question to the best of your knowledge.
Five Number Summary and Box Plots
MBA 510 Lecture 2 Spring 2013 Dr. Tonya Balan 4/20/2019.
Find the Mean of the following numbers.
Descriptive statistics for groups:
Presentation transcript:

LowHigh Equal Distance Quantification Individual Differences

Interval & Ratio

1st 2nd 3rd 4th 5th Nominal Winners Tops Losers BottomOrdinal

M Md ModeMode Md M Mean Median Mode is unbiased, consistent and efficient estimate of µ Central Tendency & Skewness

Percentile is the value on a scale below which a given percentage of cases fall. 25 th percentile is called lower quartile. 75 th percentile is called upper quartile.

Average squared deviation from the mean Average deviation from the mean s 2 is unbiased, consistent, efficient estimate of σ 2 Variability (& Kurtosis) σ2σ2 σ2σ2 σ2σ2

Bar Chart

Line Chart

Box Plot + + +

Stem and Leaf Plot * ** HI20,33 Data Stem–and-Leaf Missing = 3

SB IQ T-score GRE, SAT Wechsler IQ Test of this course µ = 0, σ= 1 µ = 50, σ= 10 µ = 500, σ= 100 µ= 100, σ= 15 µ= 100, σ= 16 µ= 25, σ= 10 Linear Transformation & Standard Scores z-score

Normal Distribution

P (X > 1.64)

Area between -1 and -2

= 35, s = 5, % above

= 35, s = 5, % above

= 35, s = 5, % below

= 35, s = 5, % between 25 and –

= 35, s = 5, 95th percentile

= 35, s = 5, 75th percentile

CI

CI 95