Chapter 3 Statistics for Describing, Exploring, and Comparing Data

Size: px
Start display at page:

Download "Chapter 3 Statistics for Describing, Exploring, and Comparing Data"

Transcription

1 Chapter 3 Statistics for Describing, Exploring, and Comparing Data 3-1 Overview 3-2 Measures of Center 3-3 Measures of Variation 3-4 Measures of Relative Standing 3-5 Exploratory Data Analysis (EDA) 1 Slide 1 Section 3-1 Overview Created by Tom Wegleitner, Centreville, Virginia Slide 2

2 Overview Descriptive Statistics summarize or describe the important characteristics of a known set of data Inferential Statistics use sample data to make inferences (or generalizations) about a population 2 Slide 3 Section 3-2 Measures of Center Created by Tom Wegleitner, Centreville, Virginia Slide 4

3 Key Concept When describing, exploring, and comparing data sets, these characteristics are usually extremely important: Center Variation Distribution Outliers Changes over time 3 Slide 5 Measures of Center: the value at the center or middle of the data. Arithmetic Mean Median Mode Midrange GENERAL ROUNDING RULE: Always round to one more place than the data when the final answer is computed. Slide 6

4 Notation N: population size n: sample size µ: population mean x: sample mean Xi : a value of the variable. : the sum of a set of values. 4 Slide 7 Arithmetic Mean (Mean) the measure of center obtained by adding the values and dividing the total by the number of values Mean of a population Mean of a sample Slide 8

5 Example Mean I : 5, 10, 15, 20, 25, 22 x = Σ x n 5 Slide 9 Example Mean II : 5.0, 10.1, 15.3, 20.2, 57.3 x = Σ x n Slide 10

6 Example Monitoring Lead in Air Listed below are measured amounts of Lead (in µg/m 3 ) in the air. The air quality standard for lead, established by the EPA, is 1.5 µg/m 3. The measurements shown below were recorded at Building 5 of the World Trade Center site on different days immediately following the terrorist attacks of September 11, Find the mean for this sample of measured levels of lead in the air. 6 Slide 11 Median- It is the middle value in an ordered list of data. It is the value with the same number of data values above and below it. Used for data sets with outliers. In absence of outliers, use the mean. It is often denoted by ~ x (pronounced x-tilde ) It is not affected by an outlier. Slide 12

7 Median- to calculate the median, place the data in increasing order and find a value in the center of the ordered list. When the sample size is even the median is the value in the middle. When the sample size is odd the median is the mean of the two values in the middle. 7 Slide 13 Median Example 1 Example Data: Ordered Data: Median: Median Example 2 Example Data: Ordered Data: Median: Slide 14

8 Mode For ungrouped data, the mode is the value that occurs Most often in a data set. For grouped data, the mode is the value the class with the highest frequency and is called the modal class. Bi-modal the two classes with the largest frequency OR Two data values each with the largest frequency. Multi modal more than two data values or more than two classes with the same frequency. No symbol for mode. The only measure of center that can be used with nominal data. 8 Slide 15 Mode - Examples a b c Slide 16

9 Midrange (MR) The value midway between the maximum and minimum values in the original data set. ( The value in the middle of the range.) Midrange = 9 Slide 17 Find the midrange value for the sample of lead in air Midrange = maximum value + minimum value 2 Slide 18

10 Table 3-1 Comparison of Ages of Best Actresses and Best Actors. Best Actresses Best Actors Mean Median Mode and 42 Midrange Slide 19 Critical Thinking: Example 1 Identify a major reason why the mean and median are not statistics that accurately measure the center. 1) Zip codes: 12601, 90210, 02116, 76117, ) Ranks of stress level from different jobs: 2, 3, 1, 7, 9 3) Surveyed respondents are coded as 1 (for Democrat), 2 (for Republican), 3 (for Libertarian), 4 (for independent) Slide 20

11 Critical Thinking: Example 2 Mean Salary of Teachers For each of the 50 states, a researcher obtains the mean salary of secondary school teachers: $37,200 $49,400 $40, $37800 The mean of the 50 amounts is $42,210. Is this the mean salary of all secondary school teachers in the US? Why or why not? 11 Slide 21 The mean of a population is not necessarily the mean of the means from different subsets. Slide 22

Lecture Slides. Elementary Statistics Tenth Edition. by Mario F. Triola. and the Triola Statistics Series. Slide 1

Lecture Slides. Elementary Statistics Tenth Edition. by Mario F. Triola. and the Triola Statistics Series. Slide 1 Lecture Slides Elementary Statistics Tenth Edition and the Triola Statistics Series by Mario F. Triola Slide 1 Chapter 3 Statistics for Describing, Exploring, and Comparing Data 3-1 Overview 3-2 Measures

More information

Chapter 3 Statistics for Describing, Exploring, and Comparing Data. Section 3-1: Overview. 3-2 Measures of Center. Definition. Key Concept.

Chapter 3 Statistics for Describing, Exploring, and Comparing Data. Section 3-1: Overview. 3-2 Measures of Center. Definition. Key Concept. Chapter 3 Statistics for Describing, Exploring, and Comparing Data 3-1 Overview 3- Measures of Center 3-3 Measures of Variation Section 3-1: Overview Descriptive Statistics summarize or describe the important

More information

Lecture Slides. Elementary Statistics Twelfth Edition. by Mario F. Triola. and the Triola Statistics Series. Section 3.1- #

Lecture Slides. Elementary Statistics Twelfth Edition. by Mario F. Triola. and the Triola Statistics Series. Section 3.1- # Lecture Slides Elementary Statistics Twelfth Edition and the Triola Statistics Series by Mario F. Triola Chapter 3 Statistics for Describing, Exploring, and Comparing Data 3-1 Review and Preview 3-2 Measures

More information

Section 3-3 Measures of Variation

Section 3-3 Measures of Variation Section 3-3 Measures of Variation Part B Created by Tom Wegleitner, Centreville, Virginia Slide 2 1 In a data list, every value falls within some number of standard deviations from the mean. Slide 3 Find

More information

Lecture 11. Data Description Estimation

Lecture 11. Data Description Estimation Lecture 11 Data Description Estimation Measures of Central Tendency (continued, see last lecture) Sample mean, population mean Sample mean for frequency distributions The median The mode The midrange 3-22

More information

Measures of Location. Measures of position are used to describe the relative location of an observation

Measures of Location. Measures of position are used to describe the relative location of an observation Measures of Location Measures of position are used to describe the relative location of an observation 1 Measures of Position Quartiles and percentiles are two of the most popular measures of position

More information

Lecture Slides. Section 3-3 Measures of Variation

Lecture Slides. Section 3-3 Measures of Variation Lecture Slides Elementary Statistics Tenth Edition and the Triola Statistics Series by Mario F. Triola 1 Slide 1 Section 3-3 Measures of Variation Part B Created by Tom Wegleitner, Centreville, Virginia

More information

Chapter 3. Data Description. McGraw-Hill, Bluman, 7 th ed, Chapter 3

Chapter 3. Data Description. McGraw-Hill, Bluman, 7 th ed, Chapter 3 Chapter 3 Data Description McGraw-Hill, Bluman, 7 th ed, Chapter 3 1 Chapter 3 Overview Introduction 3-1 Measures of Central Tendency 3-2 Measures of Variation 3-3 Measures of Position 3-4 Exploratory

More information

The Empirical Rule, z-scores, and the Rare Event Approach

The Empirical Rule, z-scores, and the Rare Event Approach Overview The Empirical Rule, z-scores, and the Rare Event Approach Look at Chebyshev s Rule and the Empirical Rule Explore some applications of the Empirical Rule How to calculate and use z-scores Introducing

More information

Lecture Slides. Elementary Statistics Tenth Edition. by Mario F. Triola. and the Triola Statistics Series. Slide 1

Lecture Slides. Elementary Statistics Tenth Edition. by Mario F. Triola. and the Triola Statistics Series. Slide 1 Lecture Slides Elementary Statistics Tenth Edition and the Triola Statistics Series by Mario F. Triola Slide 1 4-1 Overview 4-2 Fundamentals 4-3 Addition Rule Chapter 4 Probability 4-4 Multiplication Rule:

More information

Lecture Slides. Elementary Statistics Tenth Edition. by Mario F. Triola. and the Triola Statistics Series. Slide 1

Lecture Slides. Elementary Statistics Tenth Edition. by Mario F. Triola. and the Triola Statistics Series. Slide 1 Lecture Slides Elementary Statistics Tenth Edition and the Triola Statistics Series by Mario F. Triola Slide 1 Chapter 10 Correlation and Regression 10-1 Overview 10-2 Correlation 10-3 Regression 10-4

More information

Lecture 2. Descriptive Statistics: Measures of Center

Lecture 2. Descriptive Statistics: Measures of Center Lecture 2. Descriptive Statistics: Measures of Center Descriptive Statistics summarize or describe the important characteristics of a known set of data Inferential Statistics use sample data to make inferences

More information

= n 1. n 1. Measures of Variability. Sample Variance. Range. Sample Standard Deviation ( ) 2. Chapter 2 Slides. Maurice Geraghty

= n 1. n 1. Measures of Variability. Sample Variance. Range. Sample Standard Deviation ( ) 2. Chapter 2 Slides. Maurice Geraghty Chapter Slides Inferential Statistics and Probability a Holistic Approach Chapter Descriptive Statistics This Course Material by Maurice Geraghty is licensed under a Creative Commons Attribution-ShareAlike.

More information

Section 3.2 Measures of Central Tendency

Section 3.2 Measures of Central Tendency Section 3.2 Measures of Central Tendency 1 of 149 Section 3.2 Objectives Determine the mean, median, and mode of a population and of a sample Determine the weighted mean of a data set and the mean of a

More information

Lecture 3. Measures of Relative Standing and. Exploratory Data Analysis (EDA)

Lecture 3. Measures of Relative Standing and. Exploratory Data Analysis (EDA) Lecture 3. Measures of Relative Standing and Exploratory Data Analysis (EDA) Problem: The average weekly sales of a small company are $10,000 with a standard deviation of $450. This week their sales were

More information

P(A) = Definitions. Overview. P - denotes a probability. A, B, and C - denote specific events. P (A) - Chapter 3 Probability

P(A) = Definitions. Overview. P - denotes a probability. A, B, and C - denote specific events. P (A) - Chapter 3 Probability Chapter 3 Probability Slide 1 Slide 2 3-1 Overview 3-2 Fundamentals 3-3 Addition Rule 3-4 Multiplication Rule: Basics 3-5 Multiplication Rule: Complements and Conditional Probability 3-6 Probabilities

More information

Descriptive Statistics. Population. Sample

Descriptive Statistics. Population. Sample Sta$s$cs Data (sing., datum) observa$ons (such as measurements, counts, survey responses) that have been collected. Sta$s$cs a collec$on of methods for planning experiments, obtaining data, and then then

More information

BNG 495 Capstone Design. Descriptive Statistics

BNG 495 Capstone Design. Descriptive Statistics BNG 495 Capstone Design Descriptive Statistics Overview The overall goal of this short course in statistics is to provide an introduction to descriptive and inferential statistical methods, with a focus

More information

Introduction to Statistics Using LibreOffice.org Calc. Fouth Edition. Dana Lee Ling (2012)

Introduction to Statistics Using LibreOffice.org Calc. Fouth Edition. Dana Lee Ling (2012) Introduction to Statistics Using LibreOffice.org Calc Fouth Edition Dana Lee Ling (2012) 03 Measures of Middle and Spread 3.1 Measures of central tendency: mode, median, mean, midrange Mode The mode is

More information

Lecture Slides. Elementary Statistics Eleventh Edition. by Mario F. Triola. and the Triola Statistics Series 3.1-1

Lecture Slides. Elementary Statistics Eleventh Edition. by Mario F. Triola. and the Triola Statistics Series 3.1-1 Lecture Slides Elementary Statistics Eleventh Edition and the Triola Statistics Series by Mario F. Triola 3.1-1 Chapter 3 Statistics for Describing, Exploring, and Comparing Data 3-1 Review and Preview

More information

Introduction and Descriptive Statistics p. 1 Introduction to Statistics p. 3 Statistics, Science, and Observations p. 5 Populations and Samples p.

Introduction and Descriptive Statistics p. 1 Introduction to Statistics p. 3 Statistics, Science, and Observations p. 5 Populations and Samples p. Preface p. xi Introduction and Descriptive Statistics p. 1 Introduction to Statistics p. 3 Statistics, Science, and Observations p. 5 Populations and Samples p. 6 The Scientific Method and the Design of

More information

Lecture Slides. Elementary Statistics. by Mario F. Triola. and the Triola Statistics Series

Lecture Slides. Elementary Statistics. by Mario F. Triola. and the Triola Statistics Series Lecture Slides Elementary Statistics Tenth Edition and the Triola Statistics Series by Mario F. Triola Slide 1 Chapter 9 Inferences from Two Samples 9-1 Overview 9-2 Inferences About Two Proportions 9-3

More information

Lecture Slides. Elementary Statistics Tenth Edition. by Mario F. Triola. and the Triola Statistics Series

Lecture Slides. Elementary Statistics Tenth Edition. by Mario F. Triola. and the Triola Statistics Series Lecture Slides Elementary Statistics Tenth Edition and the Triola Statistics Series by Mario F. Triola Slide 1 Chapter 7 Estimates and Sample Sizes 7-1 Overview 7-2 Estimating a Population Proportion 7-3

More information

CENTRAL TENDENCY (1 st Semester) Presented By Dr. Porinita Dutta Department of Statistics

CENTRAL TENDENCY (1 st Semester) Presented By Dr. Porinita Dutta Department of Statistics CENTRAL TENDENCY (1 st Semester) Presented By Dr. Porinita Dutta Department of Statistics OUTLINES Descriptive Statistics Introduction of central tendency Classification Characteristics Different measures

More information

TOPIC: Descriptive Statistics Single Variable

TOPIC: Descriptive Statistics Single Variable TOPIC: Descriptive Statistics Single Variable I. Numerical data summary measurements A. Measures of Location. Measures of central tendency Mean; Median; Mode. Quantiles - measures of noncentral tendency

More information

Chapter 3 Data Description

Chapter 3 Data Description Chapter 3 Data Description Section 3.1: Measures of Central Tendency Section 3.2: Measures of Variation Section 3.3: Measures of Position Section 3.1: Measures of Central Tendency Definition of Average

More information

The science of learning from data.

The science of learning from data. STATISTICS (PART 1) The science of learning from data. Numerical facts Collection of methods for planning experiments, obtaining data and organizing, analyzing, interpreting and drawing the conclusions

More information

Chapter 2: Descriptive Analysis and Presentation of Single- Variable Data

Chapter 2: Descriptive Analysis and Presentation of Single- Variable Data Chapter 2: Descriptive Analysis and Presentation of Single- Variable Data Mean 26.86667 Standard Error 2.816392 Median 25 Mode 20 Standard Deviation 10.90784 Sample Variance 118.981 Kurtosis -0.61717 Skewness

More information

Descriptive Statistics CE 311S

Descriptive Statistics CE 311S CE 311S MEASURES OF LOCATION AND VARIABILITY As a starting point, we need a way to briefly summarize an entire sample with simple numerical values. This is the realm of descriptive statistics. For now,

More information

Essential Maths Skills. for AS/A-level. Geography. Helen Harris. Series Editor Heather Davis Educational Consultant with Cornwall Learning

Essential Maths Skills. for AS/A-level. Geography. Helen Harris. Series Editor Heather Davis Educational Consultant with Cornwall Learning Essential Maths Skills for AS/A-level Geography Helen Harris Series Editor Heather Davis Educational Consultant with Cornwall Learning Contents Introduction... 5 1 Understanding data Nominal, ordinal and

More information

Descriptive Statistics-I. Dr Mahmoud Alhussami

Descriptive Statistics-I. Dr Mahmoud Alhussami Descriptive Statistics-I Dr Mahmoud Alhussami Biostatistics What is the biostatistics? A branch of applied math. that deals with collecting, organizing and interpreting data using well-defined procedures.

More information

Measures of Central Tendency

Measures of Central Tendency Measures of Central Tendency Summary Measures Summary Measures Central Tendency Mean Median Mode Quartile Range Variance Variation Coefficient of Variation Standard Deviation Measures of Central Tendency

More information

Descriptive Statistics

Descriptive Statistics Descriptive Statistics Summarizing a Single Variable Reference Material: - Prob-stats-review.doc (see Sections 1 & 2) P. Hammett - Lecture Eercise: desc-stats.ls 1 Topics I. Discrete and Continuous Measurements

More information

DETAILED CONTENTS PART I INTRODUCTION AND DESCRIPTIVE STATISTICS. 1. Introduction to Statistics

DETAILED CONTENTS PART I INTRODUCTION AND DESCRIPTIVE STATISTICS. 1. Introduction to Statistics DETAILED CONTENTS About the Author Preface to the Instructor To the Student How to Use SPSS With This Book PART I INTRODUCTION AND DESCRIPTIVE STATISTICS 1. Introduction to Statistics 1.1 Descriptive and

More information

Unit Two Descriptive Biostatistics. Dr Mahmoud Alhussami

Unit Two Descriptive Biostatistics. Dr Mahmoud Alhussami Unit Two Descriptive Biostatistics Dr Mahmoud Alhussami Descriptive Biostatistics The best way to work with data is to summarize and organize them. Numbers that have not been summarized and organized are

More information

Example 2. Given the data below, complete the chart:

Example 2. Given the data below, complete the chart: Statistics 2035 Quiz 1 Solutions Example 1. 2 64 150 150 2 128 150 2 256 150 8 8 Example 2. Given the data below, complete the chart: 52.4, 68.1, 66.5, 75.0, 60.5, 78.8, 63.5, 48.9, 81.3 n=9 The data is

More information

After completing this chapter, you should be able to:

After completing this chapter, you should be able to: Chapter 2 Descriptive Statistics Chapter Goals After completing this chapter, you should be able to: Compute and interpret the mean, median, and mode for a set of data Find the range, variance, standard

More information

Tastitsticsss? What s that? Principles of Biostatistics and Informatics. Variables, outcomes. Tastitsticsss? What s that?

Tastitsticsss? What s that? Principles of Biostatistics and Informatics. Variables, outcomes. Tastitsticsss? What s that? Tastitsticsss? What s that? Statistics describes random mass phanomenons. Principles of Biostatistics and Informatics nd Lecture: Descriptive Statistics 3 th September Dániel VERES Data Collecting (Sampling)

More information

Measures of Central Tendency:

Measures of Central Tendency: Measures of Central Tendency: Mean, Median, Mode CasperWendy Measures of Central Tendency Measure of central tendency provides a very convenient way of describing a set of scores with a single number that

More information

Unit 2. Describing Data: Numerical

Unit 2. Describing Data: Numerical Unit 2 Describing Data: Numerical Describing Data Numerically Describing Data Numerically Central Tendency Arithmetic Mean Median Mode Variation Range Interquartile Range Variance Standard Deviation Coefficient

More information

Glossary for the Triola Statistics Series

Glossary for the Triola Statistics Series Glossary for the Triola Statistics Series Absolute deviation The measure of variation equal to the sum of the deviations of each value from the mean, divided by the number of values Acceptance sampling

More information

What is Statistics? Statistics is the science of understanding data and of making decisions in the face of variability and uncertainty.

What is Statistics? Statistics is the science of understanding data and of making decisions in the face of variability and uncertainty. What is Statistics? Statistics is the science of understanding data and of making decisions in the face of variability and uncertainty. Statistics is a field of study concerned with the data collection,

More information

2/2/2015 GEOGRAPHY 204: STATISTICAL PROBLEM SOLVING IN GEOGRAPHY MEASURES OF CENTRAL TENDENCY CHAPTER 3: DESCRIPTIVE STATISTICS AND GRAPHICS

2/2/2015 GEOGRAPHY 204: STATISTICAL PROBLEM SOLVING IN GEOGRAPHY MEASURES OF CENTRAL TENDENCY CHAPTER 3: DESCRIPTIVE STATISTICS AND GRAPHICS Spring 2015: Lembo GEOGRAPHY 204: STATISTICAL PROBLEM SOLVING IN GEOGRAPHY CHAPTER 3: DESCRIPTIVE STATISTICS AND GRAPHICS Descriptive statistics concise and easily understood summary of data set characteristics

More information

Deciphering Math Notation. Billy Skorupski Associate Professor, School of Education

Deciphering Math Notation. Billy Skorupski Associate Professor, School of Education Deciphering Math Notation Billy Skorupski Associate Professor, School of Education Agenda General overview of data, variables Greek and Roman characters in math and statistics Parameters vs. Statistics

More information

Chapter. Numerically Summarizing Data. Copyright 2013, 2010 and 2007 Pearson Education, Inc.

Chapter. Numerically Summarizing Data. Copyright 2013, 2010 and 2007 Pearson Education, Inc. Chapter 3 Numerically Summarizing Data Section 3.1 Measures of Central Tendency Objectives 1. Determine the arithmetic mean of a variable from raw data 2. Determine the median of a variable from raw data

More information

Math 138 Summer Section 412- Unit Test 1 Green Form, page 1 of 7

Math 138 Summer Section 412- Unit Test 1 Green Form, page 1 of 7 Math 138 Summer 1 2013 Section 412- Unit Test 1 Green Form page 1 of 7 1. Multiple Choice. Please circle your answer. Each question is worth 3 points. (a) Social Security Numbers are illustrations of which

More information

CIVL 7012/8012. Collection and Analysis of Information

CIVL 7012/8012. Collection and Analysis of Information CIVL 7012/8012 Collection and Analysis of Information Uncertainty in Engineering Statistics deals with the collection and analysis of data to solve real-world problems. Uncertainty is inherent in all real

More information

Module 4: Equations and Inequalities in One Variable

Module 4: Equations and Inequalities in One Variable Module 1: Relationships between quantities Precision- The level of detail of a measurement, determined by the unit of measure. Dimensional Analysis- A process that uses rates to convert measurements from

More information

1. Types of Biological Data 2. Summary Descriptive Statistics

1. Types of Biological Data 2. Summary Descriptive Statistics Lecture 1: Basic Descriptive Statistics 1. Types of Biological Data 2. Summary Descriptive Statistics Measures of Central Tendency Measures of Dispersion 3. Assignments 1. Types of Biological Data Scales

More information

GRACEY/STATISTICS CH. 3. CHAPTER PROBLEM Do women really talk more than men? Science, Vol. 317, No. 5834). The study

GRACEY/STATISTICS CH. 3. CHAPTER PROBLEM Do women really talk more than men? Science, Vol. 317, No. 5834). The study CHAPTER PROBLEM Do women really talk more than men? A common belief is that women talk more than men. Is that belief founded in fact, or is it a myth? Do men actually talk more than women? Or do men and

More information

Midrange: mean of highest and lowest scores. easy to compute, rough estimate, rarely used

Midrange: mean of highest and lowest scores. easy to compute, rough estimate, rarely used Measures of Central Tendency Mode: most frequent score. best average for nominal data sometimes none or multiple modes in a sample bimodal or multimodal distributions indicate several groups included in

More information

MEASURES OF CENTRAL TENDENCY Shahbaz Baig

MEASURES OF CENTRAL TENDENCY Shahbaz Baig Indep Rev Jul-Sep 2017;19(7-9) MEASURES OF CENTRAL TENDENCY Shahbaz Baig IR-60 Abstract: The average is a value which expresses the central idea of the observations. It is a single value used to represent

More information

Preliminary Statistics course. Lecture 1: Descriptive Statistics

Preliminary Statistics course. Lecture 1: Descriptive Statistics Preliminary Statistics course Lecture 1: Descriptive Statistics Rory Macqueen (rm43@soas.ac.uk), September 2015 Organisational Sessions: 16-21 Sep. 10.00-13.00, V111 22-23 Sep. 15.00-18.00, V111 24 Sep.

More information

Statistics for Managers using Microsoft Excel 6 th Edition

Statistics for Managers using Microsoft Excel 6 th Edition Statistics for Managers using Microsoft Excel 6 th Edition Chapter 3 Numerical Descriptive Measures 3-1 Learning Objectives In this chapter, you learn: To describe the properties of central tendency, variation,

More information

Chapter Four. Numerical Descriptive Techniques. Range, Standard Deviation, Variance, Coefficient of Variation

Chapter Four. Numerical Descriptive Techniques. Range, Standard Deviation, Variance, Coefficient of Variation Chapter Four Numerical Descriptive Techniques 4.1 Numerical Descriptive Techniques Measures of Central Location Mean, Median, Mode Measures of Variability Range, Standard Deviation, Variance, Coefficient

More information

Quantitative Tools for Research

Quantitative Tools for Research Quantitative Tools for Research KASHIF QADRI Descriptive Analysis Lecture Week 4 1 Overview Measurement of Central Tendency / Location Mean, Median & Mode Quantiles (Quartiles, Deciles, Percentiles) Measurement

More information

Math 120 Introduction to Statistics Mr. Toner s Lecture Notes 3.1 Measures of Central Tendency

Math 120 Introduction to Statistics Mr. Toner s Lecture Notes 3.1 Measures of Central Tendency Math 1 Introduction to Statistics Mr. Toner s Lecture Notes 3.1 Measures of Central Tendency The word average: is very ambiguous and can actually refer to the mean, median, mode or midrange. Notation:

More information

Lecture 3: Chapter 3

Lecture 3: Chapter 3 Lecture 3: Chapter 3 C C Moxley UAB Mathematics 26 January 16 3.2 Measurements of Center Statistics involves describing data sets and inferring things about them. The first step in understanding a set

More information

Histograms, Central Tendency, and Variability

Histograms, Central Tendency, and Variability The Economist, September 6, 214 1 Histograms, Central Tendency, and Variability Lecture 2 Reading: Sections 5 5.6 Includes ALL margin notes and boxes: For Example, Guided Example, Notation Alert, Just

More information

Review for Exam #1. Chapter 1. The Nature of Data. Definitions. Population. Sample. Quantitative data. Qualitative (attribute) data

Review for Exam #1. Chapter 1. The Nature of Data. Definitions. Population. Sample. Quantitative data. Qualitative (attribute) data Review for Exam #1 1 Chapter 1 Population the complete collection of elements (scores, people, measurements, etc.) to be studied Sample a subcollection of elements drawn from a population 11 The Nature

More information

SESSION 5 Descriptive Statistics

SESSION 5 Descriptive Statistics SESSION 5 Descriptive Statistics Descriptive statistics are used to describe the basic features of the data in a study. They provide simple summaries about the sample and the measures. Together with simple

More information

Chapter 6. Estimates and Sample Sizes

Chapter 6. Estimates and Sample Sizes Chapter 6 Estimates and Sample Sizes Lesson 6-1/6-, Part 1 Estimating a Population Proportion This chapter begins the beginning of inferential statistics. There are two major applications of inferential

More information

OBJECTIVES INTRODUCTION

OBJECTIVES INTRODUCTION M7 Chapter 3 Section 1 OBJECTIVES Suarize data using easures of central tendency, such as the ean, edian, ode, and idrange. Describe data using the easures of variation, such as the range, variance, and

More information

Introduction to Statistics

Introduction to Statistics Introduction to Statistics Data and Statistics Data consists of information coming from observations, counts, measurements, or responses. Statistics is the science of collecting, organizing, analyzing,

More information

Σ x i. Sigma Notation

Σ x i. Sigma Notation Sigma Notation The mathematical notation that is used most often in the formulation of statistics is the summation notation The uppercase Greek letter Σ (sigma) is used as shorthand, as a way to indicate

More information

Section 3. Measures of Variation

Section 3. Measures of Variation Section 3 Measures of Variation Range Range = (maximum value) (minimum value) It is very sensitive to extreme values; therefore not as useful as other measures of variation. Sample Standard Deviation The

More information

Chapter 1:Descriptive statistics

Chapter 1:Descriptive statistics Slide 1.1 Chapter 1:Descriptive statistics Descriptive statistics summarises a mass of information. We may use graphical and/or numerical methods Examples of the former are the bar chart and XY chart,

More information

CHAPTER 2: Describing Distributions with Numbers

CHAPTER 2: Describing Distributions with Numbers CHAPTER 2: Describing Distributions with Numbers The Basic Practice of Statistics 6 th Edition Moore / Notz / Fligner Lecture PowerPoint Slides Chapter 2 Concepts 2 Measuring Center: Mean and Median Measuring

More information

Week 1: Intro to R and EDA

Week 1: Intro to R and EDA Statistical Methods APPM 4570/5570, STAT 4000/5000 Populations and Samples 1 Week 1: Intro to R and EDA Introduction to EDA Objective: study of a characteristic (measurable quantity, random variable) for

More information

Exploratory Data Analysis. CERENA Instituto Superior Técnico

Exploratory Data Analysis. CERENA Instituto Superior Técnico Exploratory Data Analysis CERENA Instituto Superior Técnico Some questions for which we use Exploratory Data Analysis: 1. What is a typical value? 2. What is the uncertainty around a typical value? 3.

More information

Class 11 Maths Chapter 15. Statistics

Class 11 Maths Chapter 15. Statistics 1 P a g e Class 11 Maths Chapter 15. Statistics Statistics is the Science of collection, organization, presentation, analysis and interpretation of the numerical data. Useful Terms 1. Limit of the Class

More information

Last Lecture. Distinguish Populations from Samples. Knowing different Sampling Techniques. Distinguish Parameters from Statistics

Last Lecture. Distinguish Populations from Samples. Knowing different Sampling Techniques. Distinguish Parameters from Statistics Last Lecture Distinguish Populations from Samples Importance of identifying a population and well chosen sample Knowing different Sampling Techniques Distinguish Parameters from Statistics Knowing different

More information

Chapter 7. Scatterplots, Association, and Correlation

Chapter 7. Scatterplots, Association, and Correlation Chapter 7 Scatterplots, Association, and Correlation Bin Zou (bzou@ualberta.ca) STAT 141 University of Alberta Winter 2015 1 / 29 Objective In this chapter, we study relationships! Instead, we investigate

More information

Honors Statistics. Daily Agenda

Honors Statistics. Daily Agenda Section 2.1 Describing Location in a Distribution Day 3 Linear Data Transformations Honors Statistics Daily Agenda 1. Review OTL C2#3 2. Introduce and practice data transformations 1 Askips are red - show

More information

Introduction to Statistics

Introduction to Statistics Why Statistics? Introduction to Statistics To develop an appreciation for variability and how it effects products and processes. Study methods that can be used to help solve problems, build knowledge and

More information

Micro Syllabus for Statistics (B.Sc. CSIT) program

Micro Syllabus for Statistics (B.Sc. CSIT) program Micro Syllabus for Statistics (B.Sc. CSIT) program Tribhuvan University Institute of Science & Technology(IOST) Level: B.Sc. Course Title: Statistics I Full Marks: 60 + 0 + 0 Course Code: STA 64 Pass Marks:

More information

Histograms allow a visual interpretation

Histograms allow a visual interpretation Chapter 4: Displaying and Summarizing i Quantitative Data s allow a visual interpretation of quantitative (numerical) data by indicating the number of data points that lie within a range of values, called

More information

Contents. Acknowledgments. xix

Contents. Acknowledgments. xix Table of Preface Acknowledgments page xv xix 1 Introduction 1 The Role of the Computer in Data Analysis 1 Statistics: Descriptive and Inferential 2 Variables and Constants 3 The Measurement of Variables

More information

Descriptive Statistics (And a little bit on rounding and significant digits)

Descriptive Statistics (And a little bit on rounding and significant digits) Descriptive Statistics (And a little bit on rounding and significant digits) Now that we know what our data look like, we d like to be able to describe it numerically. In other words, how can we represent

More information

Algebra 1 Yearlong Curriculum Plan. Last modified: June 2014

Algebra 1 Yearlong Curriculum Plan. Last modified: June 2014 Algebra 1 Yearlong Curriculum Plan Last modified: June 2014 SUMMARY This curriculum plan is divided into four academic quarters. In Quarter 1, students first dive deeper into the real number system before

More information

CS 5014: Research Methods in Computer Science. Statistics: The Basic Idea. Statistics Questions (1) Statistics Questions (2) Clifford A.

CS 5014: Research Methods in Computer Science. Statistics: The Basic Idea. Statistics Questions (1) Statistics Questions (2) Clifford A. Department of Computer Science Virginia Tech Blacksburg, Virginia Copyright c 2015 by Clifford A. Shaffer Computer Science Title page Computer Science Clifford A. Shaffer Fall 2015 Clifford A. Shaffer

More information

Sampling, Frequency Distributions, and Graphs (12.1)

Sampling, Frequency Distributions, and Graphs (12.1) 1 Sampling, Frequency Distributions, and Graphs (1.1) Design: Plan how to obtain the data. What are typical Statistical Methods? Collect the data, which is then subjected to statistical analysis, which

More information

Statistics Primer. ORC Staff: Jayme Palka Peter Boedeker Marcus Fagan Trey Dejong

Statistics Primer. ORC Staff: Jayme Palka Peter Boedeker Marcus Fagan Trey Dejong Statistics Primer ORC Staff: Jayme Palka Peter Boedeker Marcus Fagan Trey Dejong 1 Quick Overview of Statistics 2 Descriptive vs. Inferential Statistics Descriptive Statistics: summarize and describe data

More information

Chapter 2: Tools for Exploring Univariate Data

Chapter 2: Tools for Exploring Univariate Data Stats 11 (Fall 2004) Lecture Note Introduction to Statistical Methods for Business and Economics Instructor: Hongquan Xu Chapter 2: Tools for Exploring Univariate Data Section 2.1: Introduction What is

More information

New Paltz Central School District Mathematics Third Grade

New Paltz Central School District Mathematics Third Grade September - Unit 1: Place Value and Numeration/Addition and Use hundred charts and number lines. Place Value October Subtraction Read and write numbers to 1,000. Pre- What is place value? Order numbers

More information

West Windsor-Plainsboro Regional School District Algebra Grade 8

West Windsor-Plainsboro Regional School District Algebra Grade 8 West Windsor-Plainsboro Regional School District Algebra Grade 8 Content Area: Mathematics Unit 1: Foundations of Algebra This unit involves the study of real numbers and the language of algebra. Using

More information

Topic-1 Describing Data with Numerical Measures

Topic-1 Describing Data with Numerical Measures Topic-1 Describing Data with Numerical Measures Central Tendency (Center) and Dispersion (Variability) Central tendency: measures of the degree to which scores are clustered around the mean of a distribution

More information

CHAPTER 3. YAKUP ARI,Ph.D.(C)

CHAPTER 3. YAKUP ARI,Ph.D.(C) CHAPTER 3 YAKUP ARI,Ph.D.(C) math.stat.yeditepe@gmail.com REMEMBER!!! The purpose of descriptive statistics is to summarize and organize a set of scores. One of methods of descriptive statistics is to

More information

PSYC 331 STATISTICS FOR PSYCHOLOGISTS

PSYC 331 STATISTICS FOR PSYCHOLOGISTS PSYC 331 STATISTICS FOR PSYCHOLOGISTS Session 1 BASIC CONCEPTS IN STATISTICS Lecturer: Dr. Paul Narh Doku, Dept of Psychology, UG Contact Information: pndoku@ug.edu.gh College of Education School of Continuing

More information

Lecture 2 and Lecture 3

Lecture 2 and Lecture 3 Lecture 2 and Lecture 3 1 Lecture 2 and Lecture 3 We can describe distributions using 3 characteristics: shape, center and spread. These characteristics have been discussed since the foundation of statistics.

More information

More on Variability. Overview. The Variance is sensitive to outliers. Marriage Data without Nevada

More on Variability. Overview. The Variance is sensitive to outliers. Marriage Data without Nevada Overview More on Variability Dr Tom Ilvento Department of Food and Resource Economics Continue the discussion of the variance and standard deviation Introduce the Coefficient of Variation (CV) Revisit

More information

Percentile: Formula: To find the percentile rank of a score, x, out of a set of n scores, where x is included:

Percentile: Formula: To find the percentile rank of a score, x, out of a set of n scores, where x is included: AP Statistics Chapter 2 Notes 2.1 Describing Location in a Distribution Percentile: The pth percentile of a distribution is the value with p percent of the observations (If your test score places you in

More information

MATH ELEMENTARY STATISTICS SPRING 2013 ANSWERS TO SELECTED EVEN PROBLEMS & PRACTICE PROBLEMS, UNIT 1

MATH ELEMENTARY STATISTICS SPRING 2013 ANSWERS TO SELECTED EVEN PROBLEMS & PRACTICE PROBLEMS, UNIT 1 MATH 10043 ELEMENTARY STATISTICS SPRING 2013 ANSWERS TO SELECTED EVEN PROBLEMS & PRACTICE PROBLEMS, UNIT 1 1.3 (2) Qualitative data are values assigning items to non-numeric categories; quantitative data

More information

Ages of stellar populations from color-magnitude diagrams. Paul Baines. September 30, 2008

Ages of stellar populations from color-magnitude diagrams. Paul Baines. September 30, 2008 Ages of stellar populations from color-magnitude diagrams Paul Baines Department of Statistics Harvard University September 30, 2008 Context & Example Welcome! Today we will look at using hierarchical

More information

Mathematics High School Algebra I

Mathematics High School Algebra I Mathematics High School Algebra I All West Virginia teachers are responsible for classroom instruction that integrates content standards and mathematical habits of mind. Students in this course will focus

More information

Numerical Measures of Central Tendency

Numerical Measures of Central Tendency ҧ Numerical Measures of Central Tendency The central tendency of the set of measurements that is, the tendency of the data to cluster, or center, about certain numerical values; usually the Mean, Median

More information

Perhaps the most important measure of location is the mean (average). Sample mean: where n = sample size. Arrange the values from smallest to largest:

Perhaps the most important measure of location is the mean (average). Sample mean: where n = sample size. Arrange the values from smallest to largest: 1 Chapter 3 - Descriptive stats: Numerical measures 3.1 Measures of Location Mean Perhaps the most important measure of location is the mean (average). Sample mean: where n = sample size Example: The number

More information

Shape, Outliers, Center, Spread Frequency and Relative Histograms Related to other types of graphical displays

Shape, Outliers, Center, Spread Frequency and Relative Histograms Related to other types of graphical displays Histograms: Shape, Outliers, Center, Spread Frequency and Relative Histograms Related to other types of graphical displays Sep 9 1:13 PM Shape: Skewed left Bell shaped Symmetric Bi modal Symmetric Skewed

More information

Review Packet for Test 8 - Statistics. Statistical Measures of Center: and. Statistical Measures of Variability: and.

Review Packet for Test 8 - Statistics. Statistical Measures of Center: and. Statistical Measures of Variability: and. Name: Teacher: Date: Section: Review Packet for Test 8 - Statistics Part I: Measures of CENTER vs. Measures of VARIABILITY Statistical Measures of Center: and. Statistical Measures of Variability: and.

More information

Ch. 17. DETERMINATION OF SAMPLE SIZE

Ch. 17. DETERMINATION OF SAMPLE SIZE LOGO Ch. 17. DETERMINATION OF SAMPLE SIZE Dr. Werner R. Murhadi www.wernermurhadi.wordpress.com Descriptive and Inferential Statistics descriptive statistics is Statistics which summarize and describe

More information