Measures of Central Tendency

Slides:



Advertisements
Similar presentations
Measures of Location and Dispersion
Advertisements

Copyright © 2014 by McGraw-Hill Higher Education. All rights reserved.
Describing Data: Measures of Central Tendency
DIVIDING INTEGERS 1. IF THE SIGNS ARE THE SAME THE ANSWER IS POSITIVE 2. IF THE SIGNS ARE DIFFERENT THE ANSWER IS NEGATIVE.
Measurement, Evaluation, Assessment and Statistics
Richard M. Jacobs, OSA, Ph.D.
Central Tendency- Nominal Variable (1)
Quantitative Analysis (Statistics Week 8)
Week 1.
Basic Statistics Measures of Central Tendency.
Descriptive Statistics Measures of Central Tendency Variability Standard Scores.
Basic Statistical Concepts
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.
Chapter 13 Conducting & Reading Research Baumgartner et al Data Analysis.
Scales of Measurement S1-1. Scales of Measurement: important for selecting stat's (later on) 1. Nominal Scale: number is really a name! 1 = male 2 = female.
Descriptive Statistics Chapter 3 Numerical Scales Nominal scale-Uses numbers for identification (student ID numbers) Ordinal scale- Uses numbers for.
Descriptive Statistics
Measures of Central Tendency. Central Tendency = values that summarize/ represent the majority of scores in a distribution Central Tendency = values that.
Central Tendency.
Levels of Measurement Nominal measurement Involves assigning numbers to classify characteristics into categories Ordinal measurement Involves sorting objects.
1 Measures of Central Tendency Greg C Elvers, Ph.D.
Descriptive Statistics
Today: Central Tendency & Dispersion
Summarizing Scores With Measures of Central Tendency
Central Tendency.
Descriptive Statistics Used to describe the basic features of the data in any quantitative study. Both graphical displays and descriptive summary statistics.
Ibrahim Altubasi, PT, PhD The University of Jordan
Central Tendency Quantitative Methods in HPELS 440:210.
Measures of Central Tendency or Measures of Location or Measures of Averages.
Overview Summarizing Data – Central Tendency - revisited Summarizing Data – Central Tendency - revisited –Mean, Median, Mode Deviation scores Deviation.
Basic Statistics. Scales of measurement Nominal The one that has names Ordinal Rank ordered Interval Equal differences in the scores Ratio Has a true.
Reasoning in Psychology Using Statistics Psychology
PPA 501 – Analytical Methods in Administration Lecture 5a - Counting and Charting Responses.
Describing Behavior Chapter 4. Data Analysis Two basic types  Descriptive Summarizes and describes the nature and properties of the data  Inferential.
© 2006 McGraw-Hill Higher Education. All rights reserved. Numbers Numbers mean different things in different situations. Consider three answers that appear.
Descriptive Statistics
KNR 445 Statistics t-tests Slide 1 Variability Measures of dispersion or spread 1.
Measures of Central Tendency And Spread Understand the terms mean, median, mode, range, standard deviation.
INVESTIGATION 1.
A way to organize data so that it has meaning!.  Descriptive - Allow us to make observations about the sample. Cannot make conclusions.  Inferential.
Measures of Central Tendency: The Mean, Median, and Mode
Part II  igma Freud & Descriptive Statistics Chapter 2 Means to an End: Computing and Understanding Averages.
 Two basic types Descriptive  Describes the nature and properties of the data  Helps to organize and summarize information Inferential  Used in testing.
Central Tendency. Variables have distributions A variable is something that changes or has different values (e.g., anger). A distribution is a collection.
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.
IMPORTANCE OF STATISTICS MR.CHITHRAVEL.V ASST.PROFESSOR ACN.
Statistical Analysis of Data. What is a Statistic???? Population Sample Parameter: value that describes a population Statistic: a value that describes.
LIS 570 Summarising and presenting data - Univariate analysis.
Anthony J Greene1 Central Tendency 1.Mean Population Vs. Sample Mean 2.Median 3.Mode 1.Describing a Distribution in Terms of Central Tendency 2.Differences.
Measures of Central Tendency (MCT) 1. Describe how MCT describe data 2. Explain mean, median & mode 3. Explain sample means 4. Explain “deviations around.
Descriptive Statistics(Summary and Variability measures)
A way to organize data so that it has meaning!.  Descriptive - Allow us to make observations about the sample. Cannot make conclusions.  Inferential.
Statistics Josée L. Jarry, Ph.D., C.Psych. Introduction to Psychology Department of Psychology University of Toronto June 9, 2003.
Welcome to… The Exciting World of Descriptive Statistics in Educational Assessment!
Psychology’s Statistics Appendix. Statistics Are a means to make data more meaningful Provide a method of organizing information so that it can be understood.
Making Sense of Statistics: A Conceptual Overview Sixth Edition PowerPoints by Pamela Pitman Brown, PhD, CPG Fred Pyrczak Pyrczak Publishing.
Lecture 8 Data Analysis: Univariate Analysis and Data Description Research Methods and Statistics 1.
PRESENTATION OF DATA.
Statistical Methods Michael J. Watts
Statistical Methods Michael J. Watts
Quantitative Methods in HPELS HPELS 6210
Chapter 3 Measures Of Central Tendency
Numerical Measures: Centrality and Variability
Descriptive Statistics
Evaluation and Assessment of the Individual: Week 2 Discussion
Measures of Central Tendency
Presentation transcript:

Measures of Central Tendency 1

Study note – using audio slides 1 Advantages Revisiting them No attention lapses Nothing missed, everything available for comprehensive study guide come exam times More class time available for discussion/group work/explanation/SPSS Disadvantage Not real time lecture/no immediate interaction w/instructor Can result in wanting to ask questions, but not being able to Recommendation: Print slides before listening, make notes and write questions down as you go Email question/s if needed in order to make progress Listen to the slides early in the week so that there’s plenty of time to allow for communication with the instructor 2 3 4

Measure of Central Tendency What SINGLE summary statistic or parameter best describes the central location of an entire distribution? Mode: which value occurs most (what is fashionable) Median: the middle value in the data, once it’s ranked (the 50th percentile) Mean: mathematical balance point; arithmetic mean; mathematical mean 1 2 3 4 General note on this early stuff

Mode Most frequent occurrence What if data were 1 Most frequent occurrence What if data were 17, 19, 20, 20, 22, 23, 23, 28 Problem: set of numbers can be bimodal, or trimodal, depending on the scores Not a stable measure 2 3

Median Rank numbers, pick middle one What if data were 17, 19, 20, 23, 23, 28 Solution: add up two middle scores, divide by 2 (=21.5) Best measure in asymmetrical distribution (ie skewed), not sensitive to extreme scores 1 2

Mean Add up the numbers and divide by the sample size (number of numbers!) Try this one… 5,3,2,6,9 This is the best measure of the three – after all, it uses more information than any of the others 1 2 3

Characteristics of the Mean Balance point point around which deviations sum to zero Deviation is difference between two numbers For instance, if scores are 5,3,2,6,9 Mean is 5 Sum of deviations: 0+(-2)+(-3)+1+4 = 0 See? 1

Characteristics of the Mean Balance point Affected by extreme scores Scores 7, 11, 11, 14, 17 Mean = 12, Mode and Median = 11 Scores 7, 11, 11, 14, 170 Mean = 42.6, Mode & Median = 11 1

Characteristics of the Mean Balance point Affected by extreme scores Appropriate for use with interval or ratio scales of measurement 1

Characteristics of the Mean Balance point Affected by extreme scores Appropriate for use with interval or ratio scales of measurement More stable than Median or Mode when multiple samples drawn from the same population Basis for inferential stats 1

Guidelines to choose Measure of Central Tendency Mean is preferred because it is the basis of inferential statistics Median may be better for skewed data? Distribution of wealth in the US Mode to describe average of nominal data (Percentage - relative frequency) 1

Normal Distribution 1 Mode 2 Median 4 Mean Scores 3

Positively skewed distribution 1 2 Mode Median Mean Scores

Negatively skewed distribution 1 Mode Median 2 Mean Scores

End of file…variability next.