Being Descriptive Without Being Mean

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

Measurement, Evaluation, Assessment and Statistics
Data analysis: Explore GAP Toolkit 5 Training in basic drug abuse data management and analysis Training session 9.
Measures of Central Tendency.  Parentheses  Exponents  Multiplication or division  Addition or subtraction  *remember that signs form the skeleton.
Statistics.
Measures of Central Tendency. Central Tendency “Values that describe the middle, or central, characteristics of a set of data” Terms used to describe.
Review of Basics. REVIEW OF BASICS PART I Measurement Descriptive Statistics Frequency Distributions.
Review of Basics. REVIEW OF BASICS PART I Measurement Descriptive Statistics Frequency Distributions.
BHS Methods in Behavioral Sciences I April 18, 2003 Chapter 4 (Ray) – Descriptive Statistics.
Descriptive (Univariate) Statistics Percentages (frequencies) Ratios and Rates Measures of Central Tendency Measures of Variability Descriptive statistics.
Chapter 13 Conducting & Reading Research Baumgartner et al Data Analysis.
Chapter 14 Analyzing Quantitative Data. LEVELS OF MEASUREMENT Nominal Measurement Nominal Measurement Ordinal Measurement Ordinal Measurement Interval.
Descriptive Statistics
Statistical Analysis SC504/HS927 Spring Term 2008 Week 17 (25th January 2008): Analysing data.
Analysis of Research Data
Central Tendency & Variability Dec. 7. Central Tendency Summarizing the characteristics of data Provide common reference point for comparing two groups.
Descriptive Statistics
Chapter 3: Central Tendency
1 Measures of Central Tendency Greg C Elvers, Ph.D.
Today: Central Tendency & Dispersion
Central Tendency In general terms, central tendency is a statistical measure that determines a single value that accurately describes the center of the.
Descriptive Statistics Used to describe the basic features of the data in any quantitative study. Both graphical displays and descriptive summary statistics.
Chapter 3 Statistical Concepts.
EPE/EDP 557 Key Concepts / Terms –Empirical vs. Normative Questions Empirical Questions Normative Questions –Statistics Descriptive Statistics Inferential.
Statistics in psychology Describing and analyzing the data.
Psychometrics.
Central Tendency Quantitative Methods in HPELS 440:210.
Chapter 3: Central Tendency. Central Tendency In general terms, central tendency is a statistical measure that determines a single value that accurately.
Basic Statistics. Scales of measurement Nominal The one that has names Ordinal Rank ordered Interval Equal differences in the scores Ratio Has a true.
Statistical Tools in Evaluation Part I. Statistical Tools in Evaluation What are statistics? –Organization and analysis of numerical data –Methods used.
URBP 204A QUANTITATIVE METHODS I Statistical Analysis Lecture I Gregory Newmark San Jose State University (This lecture accords with Chapters 2 & 3 of.
Descriptive Statistics And related matters. Two families of statistics Descriptive statistics – procedures for summarizing, organizing, graphing, and,
Introduction to Descriptive Statistics Objectives: 1.Explain the general role of statistics in assessment & evaluation 2.Explain three methods for describing.
© 2006 McGraw-Hill Higher Education. All rights reserved. Numbers Numbers mean different things in different situations. Consider three answers that appear.
Central Tendency and Variability Chapter 4. Variability In reality – all of statistics can be summed into one statement: – Variability matters. – (and.
An Introduction to Statistics. Two Branches of Statistical Methods Descriptive statistics Techniques for describing data in abbreviated, symbolic fashion.
A way to organize data so that it has meaning!.  Descriptive - Allow us to make observations about the sample. Cannot make conclusions.  Inferential.
Numeric Summaries and Descriptive Statistics. populations vs. samples we want to describe both samples and populations the latter is a matter of inference…
Part II  igma Freud & Descriptive Statistics Chapter 2 Means to an End: Computing and Understanding Averages.
Central Tendency. Variables have distributions A variable is something that changes or has different values (e.g., anger). A distribution is a collection.
Unit 2 (F): Statistics in Psychological Research: Measures of Central Tendency Mr. Debes A.P. Psychology.
Chapter 3: Central Tendency. Central Tendency In general terms, central tendency is a statistical measure that determines a single value that accurately.
BASIC STATISTICAL CONCEPTS Chapter Three. CHAPTER OBJECTIVES Scales of Measurement Measures of central tendency (mean, median, mode) Frequency distribution.
IE(DS)1 Descriptive Statistics Data - Quantitative observation of Behavior What do numbers mean? If we call one thing 1 and another thing 2 what do we.
LIS 570 Summarising and presenting data - Univariate analysis.
Descriptive and Inferential Statistics Or How I Learned to Stop Worrying and Love My IA.
Chapter 2 Describing and Presenting a Distribution of Scores.
Summation Notation, Percentiles and Measures of Central Tendency Overheads 3.
Measures of Central Tendency (MCT) 1. Describe how MCT describe data 2. Explain mean, median & mode 3. Explain sample means 4. Explain “deviations around.
A way to organize data so that it has meaning!.  Descriptive - Allow us to make observations about the sample. Cannot make conclusions.  Inferential.
Descriptive Statistics Printing information at: Class website:
Lecture 8 Data Analysis: Univariate Analysis and Data Description Research Methods and Statistics 1.
Measures of Central Tendency.  Number that best represents a group of scores  Mean  Median  Mode  Each gives different information about a group.
Different Types of Data
Descriptive measures Capture the main 4 basic Ch.Ch. of the sample distribution: Central tendency Variability (variance) Skewness kurtosis.
Topic 3: Measures of central tendency, dispersion and shape
Statistics in psychology
Descriptive Statistics: Overview
Module 6: Descriptive Statistics
Quantitative Methods in HPELS HPELS 6210
Chapter 3 Measures Of Central Tendency
Central Tendency and Variability
Descriptive Statistics
Measures of Central Tendency
Descriptive Statistics
Introduction to Statistics
Ms. Saint-Paul A.P. Psychology
Myers Chapter 1 (F): Statistics in Psychological Research: Measures of Central Tendency A.P. Psychology.
Lecture 4 Psyc 300A.
Measures of Central Tendency
Presentation transcript:

Being Descriptive Without Being Mean PSYC 510: Statistics

General Topics: Descriptive Statistics Levels of Data Frequency Counts Measures of Central Tendency: Median, Mean, and Mode Extreme Scores and Data Transformation Bimodal Distributions Practical experience

Levels of Data Nominal Ordinal Interval Ratio Name only (e.g., Ethnicity, Sex, Major) Ordinal Serial position, but unequal increments (e.g., 1st and 2nd place, Likert scaling?!?) Interval Equal increments, no zero point (e.g., centigrade) Usually the minimal level of data for most parametric inferential statistics Ratio Equal increments with a theoretical zero point (e.g., reaction time, age, distance, Kelvin)

Frequency Counts Major Physics History Chemistry Psychology

Frequency Counts Major Freqency Physics 2 History 4 Chemistry 3 Psychology Ideal for nominal level data and is useful for Modes!

Central Tendency

Central Tendency: Big, Average Meanie Mean = Average N = population, n = sample Sigma (S) = Sum M (Xbar) = S/n Basis for many inferential stats (e.g, t test) Sensitive to extreme scores

Getting Mean Score 100 98 97 92 M = 96.75

Getting REALLY Mean Score 100 98 97 92 M = 77.4

Options in Dealing With Extreme Scores Eliminate outliers Run a statistic that is not sensitive to extreme scores (nonparametric) Data transformation Move from least invasive to most invasive: Square Root Log Inverse

Median: Second Best in the Middle of the Road Exact middle score Organize data in ascending/descending order Less sensitive to extreme scores Basis for many nonparametric tests Less statistical power

Finding a Happy Median Score 92 97 98 100 Median here! 92 97 98 100 Median here! M (prior to extreme score) = 96.75

Where's the Median? Me = (31 + 34)/2 = 65/2 = 32.5 Age 12 17 20 30 31 34 36 42 60 Just for fun, calculate the mean… M = 333/10 = 33.3

The Mode: Mr. Popular Major Physics History Chemistry Psychology

This Might Help… Major Freqency Physics 2 History 4 Chemistry 3 Psychology The mode is obviously “History,” but let’s make it a wee bit more challenging…

What's the Mode Now? Major Psychology History Chemistry Physics

The Bimodal Distribution Major Frequency Physics 1 History 4 Chemistry 3 Psychology This doesn’t really hurt anything, but it’s something to be aware of.

Getting Bimodal

Play with SPSS Here Descriptive: Mean, Median Frequency: Mode Explore: Skew, Kurtosis Transform: Square Root, Log, Inverse

9 Mean Median Mode Standard Deviation Which of the following measures of central tendency is most affected by extreme scores? Mean Median Mode Standard Deviation 9

Consider the following distribution: 6, 10, 9, 13, 12, 11, 10, 9 Consider the following distribution: 6, 10, 9, 13, 12, 11, 10, 9. Which of the following best describes this? Negatively skewed Positively skewed Bimodal Leptokurtic 7

Questions? Thoughts?