Chapter 5 – 1 Chapter 5 Measures of Variability The importance of measuring variability IQV (index of qualitative variation) The range IQR (inter-quartile.

Slides:



Advertisements
Similar presentations
Measures of Dispersion boxplots. RANGE difference between highest and lowest value; gives us some idea of how much variation there is in the categories.
Advertisements

Descriptive Statistics
Descriptive Statistics – Central Tendency & Variability Chapter 3 (Part 2) MSIS 111 Prof. Nick Dedeke.
DESCRIBING DATA: 2. Numerical summaries of data using measures of central tendency and dispersion.
PPA 415 – Research Methods in Public Administration Lecture 4 – Measures of Dispersion.
Measures of Dispersion
Central Tendency & Variability Dec. 7. Central Tendency Summarizing the characteristics of data Provide common reference point for comparing two groups.
Unit 4 – Probability and Statistics
Chapter 5 – 1 Chapter 5: Measures of Variability The Importance of Measuring Variability The Range IQR (Inter-Quartile Range) Variance Standard Deviation.
Central Tendency and Variability Chapter 4. Central Tendency >Mean: arithmetic average Add up all scores, divide by number of scores >Median: middle score.
BOX PLOTS/QUARTILES. QUARTILES: 3 points in a set of data that separate the set into 4 equal parts. Lower Quartile: Q1 (The median for the lower half.
Measures of Central Tendency
Quartiles + Box and Whisker Plots. Quartiles Step 1: Find the Median. This is called Q2, or the second quartile. Step 2: Split the first half into 2 equal.
CHAPTER 4 Measures of Dispersion. In This Presentation  Measures of dispersion.  You will learn Basic Concepts How to compute and interpret the Range.
LECTURE 12 Tuesday, 6 October STA291 Fall Five-Number Summary (Review) 2 Maximum, Upper Quartile, Median, Lower Quartile, Minimum Statistical Software.
Measures of Central Tendency & Spread
Anthony J Greene1 Dispersion Outline What is Dispersion? I Ordinal Variables 1.Range 2.Interquartile Range 3.Semi-Interquartile Range II Ratio/Interval.
© Copyright McGraw-Hill CHAPTER 3 Data Description.
Basic Statistics. Scales of measurement Nominal The one that has names Ordinal Rank ordered Interval Equal differences in the scores Ratio Has a true.
Chapter 5 – 1 Chapter 5: Measures of Variability The Importance of Measuring Variability IQV (Index of Qualitative Variation) The Range IQR (Inter-Quartile.
Table of Contents 1. Standard Deviation
Descriptive Statistics
By: Amani Albraikan 1. 2  Synonym for variability  Often called “spread” or “scatter”  Indicator of consistency among a data set  Indicates how close.
Measures of Central Tendency And Spread Understand the terms mean, median, mode, range, standard deviation.
Lecture 5 Dustin Lueker. 2 Mode - Most frequent value. Notation: Subscripted variables n = # of units in the sample N = # of units in the population x.
Measures of Dispersion How far the data is spread out.
Copyright © 2014 by Nelson Education Limited. 3-1 Chapter 3 Measures of Central Tendency and Dispersion.
Measure of Central Tendency Measures of central tendency – used to organize and summarize data so that you can understand a set of data. There are three.
INVESTIGATION 1.
Measures of Central Tendency Foundations of Algebra.
Chapter 5: Measures of Variability  The Importance of Measuring Variability  IQV (Index of Qualitative Variation)  The Range  IQR (Inter-Quartile Range)
Agenda Descriptive Statistics Measures of Spread - Variability.
Measures of Dispersion. Introduction Measures of central tendency are incomplete and need to be paired with measures of dispersion Measures of dispersion.
CHAPTER 3  Descriptive Statistics Measures of Central Tendency 1.
Numerical Measures of Variability
Chapter 3: Averages and Variation Section 2: Measures of Dispersion.
Summary Statistics and Mean Absolute Deviation MM1D3a. Compare summary statistics (mean, median, quartiles, and interquartile range) from one sample data.
BPS - 5th Ed. Chapter 21 Describing Distributions with Numbers.
BASIC STATISTICAL CONCEPTS Chapter Three. CHAPTER OBJECTIVES Scales of Measurement Measures of central tendency (mean, median, mode) Frequency distribution.
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.
Statistics topics from both Math 1 and Math 2, both featured on the GHSGT.
LIS 570 Summarising and presenting data - Univariate analysis.
1 STAT 500 – Statistics for Managers STAT 500 Statistics for Managers.
CCGPS Coordinate Algebra Unit 4: Describing Data.
StatisticsStatistics Unit 5. Example 2 We reviewed the three Measures of Central Tendency: Mean, Median, and Mode. We also looked at one Measure of Dispersion.
Chapter 2 The Mean, Variance, Standard Deviation, and Z Scores.
Chapter 4: Measures of Variability
Lecture 8 Data Analysis: Univariate Analysis and Data Description Research Methods and Statistics 1.
Chapter 16: Exploratory data analysis: numerical summaries
Chapter 5 : Describing Distributions Numerically I
Warm Up What is the mean, median, mode and outlier of the following data: 16, 19, 21, 18, 18, 54, 20, 22, 23, 17 Mean: 22.8 Median: 19.5 Mode: 18 Outlier:
Measures of Central Tendency
Chapter 3 Measures Of Central Tendency
Measures of Central Tendency
Description of Data (Summary and Variability measures)
Unit 4 Statistics Review
Bell Work – Measures of Variability, Table, Histogram, and Box Plot
STA 291 Spring 2008 Lecture 5 Dustin Lueker.
STA 291 Spring 2008 Lecture 5 Dustin Lueker.
The absolute value of each deviation.
Displaying Distributions with Graphs
Displaying and Summarizing Quantitative Data
Basic Practice of Statistics - 3rd Edition
Review for Exam 1 Ch 1-5 Ch 1-3 Descriptive Statistics
MCC6.SP.5c, MCC9-12.S.ID.1, MCC9-12.S.1D.2 and MCC9-12.S.ID.3
Box and Whisker Plots.
5 Number Summaries.
Statistics Standard: S-ID
Presentation transcript:

Chapter 5 – 1 Chapter 5 Measures of Variability The importance of measuring variability IQV (index of qualitative variation) The range IQR (inter-quartile range) Variance Standard deviation Considerations for choosing a measure of variation

Chapter 5 – 2 The Importance of Measuring Variability Central tendency Measures of variability - Numbers that describe what is typical or average (central) in a distribution. - Numbers that describe diversity or variability in the distribution. These two types of measures together help us to sum up a distribution of scores without looking at each and every score. Measures of central tendency tell you about typical (or central) scores. Measures of variation reveal how far from the typical or central that the distribution tends to vary.

Chapter 5 – 3 Index of Qualitative Variation IQV – A measure of variability for nominal variables. It is based on the ratio of the total number of differenced in the distribution to the maximum number of possible differences within the same distribution. where: K = number of categories in the variable N = total number of cases

Chapter 5 – 4 Understanding the Index of Qualitative Variation The IQV is a single number that expresses the diversity of a distribution. The IQV ranges from 0 to 1 An IQV of 0 would indicate that the distribution has NO diversity at all. An IQV of 1 would indicate that the distribution is maximally diverse.

Chapter 5 – 5 IQV in Real Life: Diversity in the U.S. Racial and Ethnic Diversity as Measured by the IQV for the Fifty States, 1998

Chapter 5 – 6 The Range Range = highest score - lowest score Range – A measure of variation in interval- ratio variables. It is the difference between the highest (maximum) and the lowest (minimum) scores in the distribution.

Chapter 5 – 7 Inter-quartile Range Inter-quartile range (IQR) – The width of the middle 50 percent of the distribution. It is defined as the difference between the lower and upper quartiles (Q1 and Q3.) Iqr = q3 – q1

Chapter 5 – 8 The Box Plot The Box Plot is a graphic device that visually presents the following elements: the range, the inter-quartile range, the median, the quartiles, the minimum (lowest value,) and the maximum (highest value.)

Chapter 5 – 9 Variance Variance – A measure of variation for interval-ratio variables; it is the average of the squared deviations from the mean

Chapter 5 – 10 Standard Deviation Standard Deviation – A measure of variation for interval-ratio variables; it is equal to the square root of the variance.

Chapter 5 – 11 Find the Mean and the Standard Deviation

Chapter 5 – 12 Considerations for Choosing a Measure of Variability For nominal variables, you can only use IQV (index of qualitative variation). For ordinal variables, you can calculate the IQV or the IQR (inter-quartile range.) Though, the IQR provides more information about the variable. For interval-ratio variables, you can use IQV, IQR, or variance/standard deviation. The standard deviation (also variance) provides the most information, since it uses all of the values in the distribution in its calculation.