MEASURES OF CENTER AND SPREAD MEASURES OF CENTER 11/20/2014. What is a measure of center? a value at the center or middle of a data set

Size: px
Start display at page:

Download "MEASURES OF CENTER AND SPREAD MEASURES OF CENTER 11/20/2014. What is a measure of center? a value at the center or middle of a data set"

Transcription

1 MEASURES OF CENTER AND SPREAD Mean and Median MEASURES OF CENTER What is a measure of center? a value at the center or middle of a data set Several different ways to determine the center: Mode Median Mean 1

2 Mode Way to describe a representative or typical value The value that occurs with the greatest frequency Bimodal Multimodal No Mode two data values occur with the same greatest frequency more than two data values occur with the same greatest frequency no data value is repeated Mode is the only measure of central tendency that can be used with nominal data Median Describes the center of a numerical data set in terms of how many data points are above and below it. the middle value when the original data values are arranged in order of increasing (or decreasing) magnitude. Often denoted by (pronounced xtilde ) From Median to Mean Median: describes the center of a numerical data set in terms of how many data points are above and below it Mean: the measure of center obtained by adding the values and dividing the total by the number of values Do these definitions contribute to student understanding? 2

3 From Median to Mean Many students believe that the mean is ALWAYS a better measure of center, no matter what. Students do not understand the advantages of each statistic and when to use each. What are the instructional deficiencies that may lead to these misconceptions? Summarized from: Mean and Median: Are the Really So Easy? By Judith Zawojewski and J. Michael Shaughnessy Nine teachers were asked how many years they have been teaching and they answered as follows: 1, 3, 4, 4, 4, 5, 7, 8, 9 Find the MEDIAN of these values. Transfer this information onto the dot plot using the following color code: for values below the median for values above the median for values that are equal to the median Place an arrow at the location of the median. 3

4 In your groups respond to the following: How would adding the value of 1 to your distribution change your MEDIAN? How would adding the value of 10 to your distribution change your MEDIAN? What can you say about the effect of data values on the MEDIAN? describes the center of a numerical data set in terms of how many data points are above and below it Why is the MEDIAN a measure of center? 4

5 Now find the MEAN of these values. Transfer this information onto the dot plot using the following color code: for values below the mean for values above the mean for values that are equal to the mean Place an arrow at the location of the mean the measure of center obtained by adding the values and dividing the total by the number of values 5

6 In what ways is the mean the center of a distribution? Explore this question with your partner using your dot plot. Hint: How can you find the mean without knowing the formula? Why is the mean a measure of center? Two ways of thinking about mean Fair share Balance point give 3 In your groups respond to the following: How would adding the value of 1 to your distribution change your MEAN? How would adding the value of 10 to your distribution change your MEAN? What can you say about the effect of values on the MEAN? 6

7 From Median and Mean: MEAN In your distribution, which is higher, the MEAN or the MEDIAN? Which is a better measure of the typical number of teaching years? When is mean a better measure of center? When is median a better measure of center? From Median and Mean: MEAN Find two numbers that can be added to the data set and not change the mean. Explain how you chose these two numbers. Find three numbers that can be added to the data set and not change the mean. Explain how you chose these three numbers. Comparing Mean and Median Find two numbers that can be added to the data set that change the mean but not the median. Explain how you chose these two numbers. Find two numbers that can be added to the data set that change the median but not the mean. Explain how you chose these two numbers. 7

8 The Mean as a Balance Point The mean is influenced by values other than the mean. When one calculates the mean, a value of zero, if it appears, must be taken into account The sum of the deviations from the mean is always zero. Replace each original value with its distance from the mean. (above is positive, below is negative) Sum the values This is why it s a measure of center! 8

DESCRIPTIVE STATISTICS. The purpose of statistics is to condense raw data to make it easier to answer specific questions; test hypotheses.

DESCRIPTIVE STATISTICS. The purpose of statistics is to condense raw data to make it easier to answer specific questions; test hypotheses. DESCRIPTIVE STATISTICS The purpose of statistics is to condense raw data to make it easier to answer specific questions; test hypotheses. DESCRIPTIVE VS. INFERENTIAL STATISTICS Descriptive To organize,

More information

Lesson 4 Measures of Central Tendency

Lesson 4 Measures of Central Tendency Outline Measures of a distribution s shape -modality and skewness -the normal distribution Measures of central tendency -mean, median, and mode Skewness and Central Tendency Lesson 4 Measures of Central

More information

Center: Finding the Median. Median. Spread: Home on the Range. Center: Finding the Median (cont.)

Center: Finding the Median. Median. Spread: Home on the Range. Center: Finding the Median (cont.) Center: Finding the Median When we think of a typical value, we usually look for the center of the distribution. For a unimodal, symmetric distribution, it s easy to find the center it s just the center

More information

Descriptive Statistics and Measurement Scales

Descriptive Statistics and Measurement Scales Descriptive Statistics 1 Descriptive Statistics and Measurement Scales Descriptive statistics are used to describe the basic features of the data in a study. They provide simple summaries about the sample

More information

COMPARISON MEASURES OF CENTRAL TENDENCY & VARIABILITY EXERCISE 8/5/2013. MEASURE OF CENTRAL TENDENCY: MODE (Mo) MEASURE OF CENTRAL TENDENCY: MODE (Mo)

COMPARISON MEASURES OF CENTRAL TENDENCY & VARIABILITY EXERCISE 8/5/2013. MEASURE OF CENTRAL TENDENCY: MODE (Mo) MEASURE OF CENTRAL TENDENCY: MODE (Mo) COMPARISON MEASURES OF CENTRAL TENDENCY & VARIABILITY Prepared by: Jess Roel Q. Pesole CENTRAL TENDENCY -what is average or typical in a distribution Commonly Measures: 1. Mode. Median 3. Mean quantified

More information

STATS8: Introduction to Biostatistics. Data Exploration. Babak Shahbaba Department of Statistics, UCI

STATS8: Introduction to Biostatistics. Data Exploration. Babak Shahbaba Department of Statistics, UCI STATS8: Introduction to Biostatistics Data Exploration Babak Shahbaba Department of Statistics, UCI Introduction After clearly defining the scientific problem, selecting a set of representative members

More information

Three had equal scores for the Progressive and Humanistic. schools. The other four had the following combination of

Three had equal scores for the Progressive and Humanistic. schools. The other four had the following combination of Three had equal scores for the Progressive and Humanistic schools. The other four had the following combination of schools: Behaviorist-Humanistic, Liberal Education- Progressive, Behaviorist-Progressive,

More information

Data Exploration Data Visualization

Data Exploration Data Visualization Data Exploration Data Visualization What is data exploration? A preliminary exploration of the data to better understand its characteristics. Key motivations of data exploration include Helping to select

More information

Module 4: Data Exploration

Module 4: Data Exploration Module 4: Data Exploration Now that you have your data downloaded from the Streams Project database, the detective work can begin! Before computing any advanced statistics, we will first use descriptive

More information

Mathematical goals. Starting points. Materials required. Time needed

Mathematical goals. Starting points. Materials required. Time needed Level S4 of challenge: B/C S4 Understanding mean, median, mode mode and range and range Mathematical goals Starting points Materials required Time needed To help learners to: understand the terms: mean,

More information

The right edge of the box is the third quartile, Q 3, which is the median of the data values above the median. Maximum Median

The right edge of the box is the third quartile, Q 3, which is the median of the data values above the median. Maximum Median CONDENSED LESSON 2.1 Box Plots In this lesson you will create and interpret box plots for sets of data use the interquartile range (IQR) to identify potential outliers and graph them on a modified box

More information

Engineering Problem Solving and Excel. EGN 1006 Introduction to Engineering

Engineering Problem Solving and Excel. EGN 1006 Introduction to Engineering Engineering Problem Solving and Excel EGN 1006 Introduction to Engineering Mathematical Solution Procedures Commonly Used in Engineering Analysis Data Analysis Techniques (Statistics) Curve Fitting techniques

More information

How To Write A Data Analysis

How To Write A Data Analysis Mathematics Probability and Statistics Curriculum Guide Revised 2010 This page is intentionally left blank. Introduction The Mathematics Curriculum Guide serves as a guide for teachers when planning instruction

More information

Descriptive statistics parameters: Measures of centrality

Descriptive statistics parameters: Measures of centrality Descriptive statistics parameters: Measures of centrality Contents Definitions... 3 Classification of descriptive statistics parameters... 4 More about central tendency estimators... 5 Relationship between

More information

Descriptive Statistics. Purpose of descriptive statistics Frequency distributions Measures of central tendency Measures of dispersion

Descriptive Statistics. Purpose of descriptive statistics Frequency distributions Measures of central tendency Measures of dispersion Descriptive Statistics Purpose of descriptive statistics Frequency distributions Measures of central tendency Measures of dispersion Statistics as a Tool for LIS Research Importance of statistics in research

More information

Summarizing and Displaying Categorical Data

Summarizing and Displaying Categorical Data Summarizing and Displaying Categorical Data Categorical data can be summarized in a frequency distribution which counts the number of cases, or frequency, that fall into each category, or a relative frequency

More information

Introduction; Descriptive & Univariate Statistics

Introduction; Descriptive & Univariate Statistics Introduction; Descriptive & Univariate Statistics I. KEY COCEPTS A. Population. Definitions:. The entire set of members in a group. EXAMPLES: All U.S. citizens; all otre Dame Students. 2. All values of

More information

Means, standard deviations and. and standard errors

Means, standard deviations and. and standard errors CHAPTER 4 Means, standard deviations and standard errors 4.1 Introduction Change of units 4.2 Mean, median and mode Coefficient of variation 4.3 Measures of variation 4.4 Calculating the mean and standard

More information

3.2 Measures of Spread

3.2 Measures of Spread 3.2 Measures of Spread In some data sets the observations are close together, while in others they are more spread out. In addition to measures of the center, it's often important to measure the spread

More information

Activity 3.7 Statistical Analysis with Excel

Activity 3.7 Statistical Analysis with Excel Activity 3.7 Statistical Analysis with Excel Introduction Engineers use various tools to make their jobs easier. Spreadsheets can greatly improve the accuracy and efficiency of repetitive and common calculations;

More information

Measurement with Ratios

Measurement with Ratios Grade 6 Mathematics, Quarter 2, Unit 2.1 Measurement with Ratios Overview Number of instructional days: 15 (1 day = 45 minutes) Content to be learned Use ratio reasoning to solve real-world and mathematical

More information

Introduction to Statistics for Psychology. Quantitative Methods for Human Sciences

Introduction to Statistics for Psychology. Quantitative Methods for Human Sciences Introduction to Statistics for Psychology and Quantitative Methods for Human Sciences Jonathan Marchini Course Information There is website devoted to the course at http://www.stats.ox.ac.uk/ marchini/phs.html

More information

Calculation example mean, median, midrange, mode, variance, and standard deviation for raw and grouped data

Calculation example mean, median, midrange, mode, variance, and standard deviation for raw and grouped data Calculation example mean, median, midrange, mode, variance, and standard deviation for raw and grouped data Raw data: 7, 8, 6, 3, 5, 5, 1, 6, 4, 10 Sorted data: 1, 3, 4, 5, 5, 6, 6, 7, 8, 10 Number of

More information

Measures of Central Tendency and Variability: Summarizing your Data for Others

Measures of Central Tendency and Variability: Summarizing your Data for Others Measures of Central Tendency and Variability: Summarizing your Data for Others 1 I. Measures of Central Tendency: -Allow us to summarize an entire data set with a single value (the midpoint). 1. Mode :

More information

DESCRIPTIVE STATISTICS & DATA PRESENTATION*

DESCRIPTIVE STATISTICS & DATA PRESENTATION* Level 1 Level 2 Level 3 Level 4 0 0 0 0 evel 1 evel 2 evel 3 Level 4 DESCRIPTIVE STATISTICS & DATA PRESENTATION* Created for Psychology 41, Research Methods by Barbara Sommer, PhD Psychology Department

More information

Using Excel for descriptive statistics

Using Excel for descriptive statistics FACT SHEET Using Excel for descriptive statistics Introduction Biologists no longer routinely plot graphs by hand or rely on calculators to carry out difficult and tedious statistical calculations. These

More information

Data exploration with Microsoft Excel: analysing more than one variable

Data exploration with Microsoft Excel: analysing more than one variable Data exploration with Microsoft Excel: analysing more than one variable Contents 1 Introduction... 1 2 Comparing different groups or different variables... 2 3 Exploring the association between categorical

More information

summarise a large amount of data into a single value; and indicate that there is some variability around this single value within the original data.

summarise a large amount of data into a single value; and indicate that there is some variability around this single value within the original data. Student Learning Development Using averages This guide explains the different types of average (mean, median and mode). It details their use, how to calculate them, and when they can be used most effectively.

More information

1) Write the following as an algebraic expression using x as the variable: Triple a number subtracted from the number

1) Write the following as an algebraic expression using x as the variable: Triple a number subtracted from the number 1) Write the following as an algebraic expression using x as the variable: Triple a number subtracted from the number A. 3(x - x) B. x 3 x C. 3x - x D. x - 3x 2) Write the following as an algebraic expression

More information

4.1 Exploratory Analysis: Once the data is collected and entered, the first question is: "What do the data look like?"

4.1 Exploratory Analysis: Once the data is collected and entered, the first question is: What do the data look like? Data Analysis Plan The appropriate methods of data analysis are determined by your data types and variables of interest, the actual distribution of the variables, and the number of cases. Different analyses

More information

Data Analysis, Statistics, and Probability

Data Analysis, Statistics, and Probability Chapter 6 Data Analysis, Statistics, and Probability Content Strand Description Questions in this content strand assessed students skills in collecting, organizing, reading, representing, and interpreting

More information

Exploratory Data Analysis. Psychology 3256

Exploratory Data Analysis. Psychology 3256 Exploratory Data Analysis Psychology 3256 1 Introduction If you are going to find out anything about a data set you must first understand the data Basically getting a feel for you numbers Easier to find

More information

Session 7 Bivariate Data and Analysis

Session 7 Bivariate Data and Analysis Session 7 Bivariate Data and Analysis Key Terms for This Session Previously Introduced mean standard deviation New in This Session association bivariate analysis contingency table co-variation least squares

More information

Valor Christian High School Mrs. Bogar Biology Graphing Fun with a Paper Towel Lab

Valor Christian High School Mrs. Bogar Biology Graphing Fun with a Paper Towel Lab 1 Valor Christian High School Mrs. Bogar Biology Graphing Fun with a Paper Towel Lab I m sure you ve wondered about the absorbency of paper towel brands as you ve quickly tried to mop up spilled soda from

More information

DATA INTERPRETATION AND STATISTICS

DATA INTERPRETATION AND STATISTICS PholC60 September 001 DATA INTERPRETATION AND STATISTICS Books A easy and systematic introductory text is Essentials of Medical Statistics by Betty Kirkwood, published by Blackwell at about 14. DESCRIPTIVE

More information

The Dot and Cross Products

The Dot and Cross Products The Dot and Cross Products Two common operations involving vectors are the dot product and the cross product. Let two vectors =,, and =,, be given. The Dot Product The dot product of and is written and

More information

Mathematics. Mathematical Practices

Mathematics. Mathematical Practices Mathematical Practices 1. Make sense of problems and persevere in solving them. 2. Reason abstractly and quantitatively. 3. Construct viable arguments and critique the reasoning of others. 4. Model with

More information

Algebra I Vocabulary Cards

Algebra I Vocabulary Cards Algebra I Vocabulary Cards Table of Contents Expressions and Operations Natural Numbers Whole Numbers Integers Rational Numbers Irrational Numbers Real Numbers Absolute Value Order of Operations Expression

More information

Section 3: Examining Center, Spread, and Shape with Box Plots

Section 3: Examining Center, Spread, and Shape with Box Plots Section 3: Examining Center, Spread, and Shape with Box Plots Q32. So far with my examination of the data, most of the data seems to be skewed. Expenditure per student and revenue per student are both

More information

Foundation of Quantitative Data Analysis

Foundation of Quantitative Data Analysis Foundation of Quantitative Data Analysis Part 1: Data manipulation and descriptive statistics with SPSS/Excel HSRS #10 - October 17, 2013 Reference : A. Aczel, Complete Business Statistics. Chapters 1

More information

IBM SPSS Statistics 20 Part 1: Descriptive Statistics

IBM SPSS Statistics 20 Part 1: Descriptive Statistics CALIFORNIA STATE UNIVERSITY, LOS ANGELES INFORMATION TECHNOLOGY SERVICES IBM SPSS Statistics 20 Part 1: Descriptive Statistics Summer 2013, Version 2.0 Table of Contents Introduction...2 Downloading the

More information

Grade 6 Mathematics Common Core State Standards

Grade 6 Mathematics Common Core State Standards Grade 6 Mathematics Common Core State Standards Standards for Mathematical Practice HOW make sense of problems, persevere in solving them, and check the reasonableness of answers. reason with and flexibly

More information

Problem of the Month Pick a Pocket

Problem of the Month Pick a Pocket The Problems of the Month (POM) are used in a variety of ways to promote problem solving and to foster the first standard of mathematical practice from the Common Core State Standards: Make sense of problems

More information

Exploratory data analysis (Chapter 2) Fall 2011

Exploratory data analysis (Chapter 2) Fall 2011 Exploratory data analysis (Chapter 2) Fall 2011 Data Examples Example 1: Survey Data 1 Data collected from a Stat 371 class in Fall 2005 2 They answered questions about their: gender, major, year in school,

More information

Hands-On Data Analysis

Hands-On Data Analysis THE 2012 ROSENTHAL PRIZE for Innovation in Math Teaching Hands-On Data Analysis Lesson Plan GRADE 6 Table of Contents Overview... 3 Prerequisite Knowledge... 3 Lesson Goals.....3 Assessment.... 3 Common

More information

Using Excel for Analyzing Survey Questionnaires Jennifer Leahy

Using Excel for Analyzing Survey Questionnaires Jennifer Leahy University of Wisconsin-Extension Cooperative Extension Madison, Wisconsin PD &E Program Development & Evaluation Using Excel for Analyzing Survey Questionnaires Jennifer Leahy G3658-14 Introduction You

More information

9.1 Measures of Center and Spread

9.1 Measures of Center and Spread Name Class Date 9.1 Measures of Center and Spread Essential Question: How can you describe and compare data sets? Explore Exploring Data Resource Locker Caleb and Kim have bowled three games. Their scores

More information

Chapter 1: Looking at Data Section 1.1: Displaying Distributions with Graphs

Chapter 1: Looking at Data Section 1.1: Displaying Distributions with Graphs Types of Variables Chapter 1: Looking at Data Section 1.1: Displaying Distributions with Graphs Quantitative (numerical)variables: take numerical values for which arithmetic operations make sense (addition/averaging)

More information

There are three kinds of people in the world those who are good at math and those who are not. PSY 511: Advanced Statistics for Psychological and Behavioral Research 1 Positive Views The record of a month

More information

Unit 6 Number and Operations in Base Ten: Decimals

Unit 6 Number and Operations in Base Ten: Decimals Unit 6 Number and Operations in Base Ten: Decimals Introduction Students will extend the place value system to decimals. They will apply their understanding of models for decimals and decimal notation,

More information

MBA 611 STATISTICS AND QUANTITATIVE METHODS

MBA 611 STATISTICS AND QUANTITATIVE METHODS MBA 611 STATISTICS AND QUANTITATIVE METHODS Part I. Review of Basic Statistics (Chapters 1-11) A. Introduction (Chapter 1) Uncertainty: Decisions are often based on incomplete information from uncertain

More information

Lesson 17: Margin of Error When Estimating a Population Proportion

Lesson 17: Margin of Error When Estimating a Population Proportion Margin of Error When Estimating a Population Proportion Classwork In this lesson, you will find and interpret the standard deviation of a simulated distribution for a sample proportion and use this information

More information

Data exploration with Microsoft Excel: univariate analysis

Data exploration with Microsoft Excel: univariate analysis Data exploration with Microsoft Excel: univariate analysis Contents 1 Introduction... 1 2 Exploring a variable s frequency distribution... 2 3 Calculating measures of central tendency... 16 4 Calculating

More information

CHAPTER THREE COMMON DESCRIPTIVE STATISTICS COMMON DESCRIPTIVE STATISTICS / 13

CHAPTER THREE COMMON DESCRIPTIVE STATISTICS COMMON DESCRIPTIVE STATISTICS / 13 COMMON DESCRIPTIVE STATISTICS / 13 CHAPTER THREE COMMON DESCRIPTIVE STATISTICS The analysis of data begins with descriptive statistics such as the mean, median, mode, range, standard deviation, variance,

More information

Graphing Information

Graphing Information Parts of a Typical Graph Graphing Information In the typical graph used to evaluate behavior, time and behavior are the two variables considered. Each data point on a graph gives two pieces of information:

More information

Statistics I for QBIC. Contents and Objectives. Chapters 1 7. Revised: August 2013

Statistics I for QBIC. Contents and Objectives. Chapters 1 7. Revised: August 2013 Statistics I for QBIC Text Book: Biostatistics, 10 th edition, by Daniel & Cross Contents and Objectives Chapters 1 7 Revised: August 2013 Chapter 1: Nature of Statistics (sections 1.1-1.6) Objectives

More information

4. Descriptive Statistics: Measures of Variability and Central Tendency

4. Descriptive Statistics: Measures of Variability and Central Tendency 4. Descriptive Statistics: Measures of Variability and Central Tendency Objectives Calculate descriptive for continuous and categorical data Edit output tables Although measures of central tendency and

More information

CALCULATIONS & STATISTICS

CALCULATIONS & STATISTICS CALCULATIONS & STATISTICS CALCULATION OF SCORES Conversion of 1-5 scale to 0-100 scores When you look at your report, you will notice that the scores are reported on a 0-100 scale, even though respondents

More information

3: Summary Statistics

3: Summary Statistics 3: Summary Statistics Notation Let s start by introducing some notation. Consider the following small data set: 4 5 30 50 8 7 4 5 The symbol n represents the sample size (n = 0). The capital letter X denotes

More information

Bar Graphs and Dot Plots

Bar Graphs and Dot Plots CONDENSED L E S S O N 1.1 Bar Graphs and Dot Plots In this lesson you will interpret and create a variety of graphs find some summary values for a data set draw conclusions about a data set based on graphs

More information

DESCRIPTIVE STATISTICS - CHAPTERS 1 & 2 1

DESCRIPTIVE STATISTICS - CHAPTERS 1 & 2 1 DESCRIPTIVE STATISTICS - CHAPTERS 1 & 2 1 OVERVIEW STATISTICS PANIK...THE THEORY AND METHODS OF COLLECTING, ORGANIZING, PRESENTING, ANALYZING, AND INTERPRETING DATA SETS SO AS TO DETERMINE THEIR ESSENTIAL

More information

MEASURES OF VARIATION

MEASURES OF VARIATION NORMAL DISTRIBTIONS MEASURES OF VARIATION In statistics, it is important to measure the spread of data. A simple way to measure spread is to find the range. But statisticians want to know if the data are

More information

Descriptive Statistics

Descriptive Statistics Descriptive Statistics Primer Descriptive statistics Central tendency Variation Relative position Relationships Calculating descriptive statistics Descriptive Statistics Purpose to describe or summarize

More information

II. DISTRIBUTIONS distribution normal distribution. standard scores

II. DISTRIBUTIONS distribution normal distribution. standard scores Appendix D Basic Measurement And Statistics The following information was developed by Steven Rothke, PhD, Department of Psychology, Rehabilitation Institute of Chicago (RIC) and expanded by Mary F. Schmidt,

More information

Chapter 2 Data Exploration

Chapter 2 Data Exploration Chapter 2 Data Exploration 2.1 Data Visualization and Summary Statistics After clearly defining the scientific question we try to answer, selecting a set of representative members from the population of

More information

Chapter 2 Statistical Foundations: Descriptive Statistics

Chapter 2 Statistical Foundations: Descriptive Statistics Chapter 2 Statistical Foundations: Descriptive Statistics 20 Chapter 2 Statistical Foundations: Descriptive Statistics Presented in this chapter is a discussion of the types of data and the use of frequency

More information

ADD-INS: ENHANCING EXCEL

ADD-INS: ENHANCING EXCEL CHAPTER 9 ADD-INS: ENHANCING EXCEL This chapter discusses the following topics: WHAT CAN AN ADD-IN DO? WHY USE AN ADD-IN (AND NOT JUST EXCEL MACROS/PROGRAMS)? ADD INS INSTALLED WITH EXCEL OTHER ADD-INS

More information

Probability Distributions

Probability Distributions CHAPTER 6 Probability Distributions Calculator Note 6A: Computing Expected Value, Variance, and Standard Deviation from a Probability Distribution Table Using Lists to Compute Expected Value, Variance,

More information

The Big Picture. Describing Data: Categorical and Quantitative Variables Population. Descriptive Statistics. Community Coalitions (n = 175)

The Big Picture. Describing Data: Categorical and Quantitative Variables Population. Descriptive Statistics. Community Coalitions (n = 175) Describing Data: Categorical and Quantitative Variables Population The Big Picture Sampling Statistical Inference Sample Exploratory Data Analysis Descriptive Statistics In order to make sense of data,

More information

Interpreting Data in Normal Distributions

Interpreting Data in Normal Distributions Interpreting Data in Normal Distributions This curve is kind of a big deal. It shows the distribution of a set of test scores, the results of rolling a die a million times, the heights of people on Earth,

More information

A vector is a directed line segment used to represent a vector quantity.

A vector is a directed line segment used to represent a vector quantity. Chapters and 6 Introduction to Vectors A vector quantity has direction and magnitude. There are many examples of vector quantities in the natural world, such as force, velocity, and acceleration. A vector

More information

Description. Textbook. Grading. Objective

Description. Textbook. Grading. Objective EC151.02 Statistics for Business and Economics (MWF 8:00-8:50) Instructor: Chiu Yu Ko Office: 462D, 21 Campenalla Way Phone: 2-6093 Email: kocb@bc.edu Office Hours: by appointment Description This course

More information

Section Format Day Begin End Building Rm# Instructor. 001 Lecture Tue 6:45 PM 8:40 PM Silver 401 Ballerini

Section Format Day Begin End Building Rm# Instructor. 001 Lecture Tue 6:45 PM 8:40 PM Silver 401 Ballerini NEW YORK UNIVERSITY ROBERT F. WAGNER GRADUATE SCHOOL OF PUBLIC SERVICE Course Syllabus Spring 2016 Statistical Methods for Public, Nonprofit, and Health Management Section Format Day Begin End Building

More information

Result Entry by Spreadsheet User Guide

Result Entry by Spreadsheet User Guide Result Entry by Spreadsheet User Guide Created in version 2007.3.0.1485 1/50 Table of Contents Result Entry by Spreadsheet... 3 Result Entry... 4 Introduction... 4 XML Availability... 4 Result Entry...

More information

SKEWNESS. Measure of Dispersion tells us about the variation of the data set. Skewness tells us about the direction of variation of the data set.

SKEWNESS. Measure of Dispersion tells us about the variation of the data set. Skewness tells us about the direction of variation of the data set. SKEWNESS All about Skewness: Aim Definition Types of Skewness Measure of Skewness Example A fundamental task in many statistical analyses is to characterize the location and variability of a data set.

More information

Analyzing Experimental Data

Analyzing Experimental Data Analyzing Experimental Data The information in this chapter is a short summary of some topics that are covered in depth in the book Students and Research written by Cothron, Giese, and Rezba. See the end

More information

Common Core Unit Summary Grades 6 to 8

Common Core Unit Summary Grades 6 to 8 Common Core Unit Summary Grades 6 to 8 Grade 8: Unit 1: Congruence and Similarity- 8G1-8G5 rotations reflections and translations,( RRT=congruence) understand congruence of 2 d figures after RRT Dilations

More information

Measurement & Data Analysis. On the importance of math & measurement. Steps Involved in Doing Scientific Research. Measurement

Measurement & Data Analysis. On the importance of math & measurement. Steps Involved in Doing Scientific Research. Measurement Measurement & Data Analysis Overview of Measurement. Variability & Measurement Error.. Descriptive vs. Inferential Statistics. Descriptive Statistics. Distributions. Standardized Scores. Graphing Data.

More information

NEW YORK STATE TEACHER CERTIFICATION EXAMINATIONS

NEW YORK STATE TEACHER CERTIFICATION EXAMINATIONS NEW YORK STATE TEACHER CERTIFICATION EXAMINATIONS TEST DESIGN AND FRAMEWORK September 2014 Authorized for Distribution by the New York State Education Department This test design and framework document

More information

1.3. DOT PRODUCT 19. 6. If θ is the angle (between 0 and π) between two non-zero vectors u and v,

1.3. DOT PRODUCT 19. 6. If θ is the angle (between 0 and π) between two non-zero vectors u and v, 1.3. DOT PRODUCT 19 1.3 Dot Product 1.3.1 Definitions and Properties The dot product is the first way to multiply two vectors. The definition we will give below may appear arbitrary. But it is not. It

More information

Arithmetic Progression

Arithmetic Progression Worksheet 3.6 Arithmetic and Geometric Progressions Section 1 Arithmetic Progression An arithmetic progression is a list of numbers where the difference between successive numbers is constant. The terms

More information

Census@School Data Handling and Probability (Grades 10, 11 and 12)

Census@School Data Handling and Probability (Grades 10, 11 and 12) Census@School Data Handling and Probability (Grades 10, 11 and 12) Statistics South Africa, 2013 Pali Lehohla, Statistician-General Census@School Data Handling and Probability (Grades 10, 11 and 12) /

More information

Determine whether the data are qualitative or quantitative. 8) the colors of automobiles on a used car lot Answer: qualitative

Determine whether the data are qualitative or quantitative. 8) the colors of automobiles on a used car lot Answer: qualitative Name Score: Math 227 Review Exam 1 Chapter 2& Fall 2011 ********************************************************************************************************************** SHORT ANSWER. Show work on

More information

Vectors. Vector Multiplication

Vectors. Vector Multiplication Vectors Directed Line Segments and Geometric Vectors A line segment to which a direction has been assigned is called a directed line segment. The figure below shows a directed line segment form P to Q.

More information

Data Modeling & Analysis Techniques. Probability & Statistics. Manfred Huber 2011 1

Data Modeling & Analysis Techniques. Probability & Statistics. Manfred Huber 2011 1 Data Modeling & Analysis Techniques Probability & Statistics Manfred Huber 2011 1 Probability and Statistics Probability and statistics are often used interchangeably but are different, related fields

More information

Statistics. Measurement. Scales of Measurement 7/18/2012

Statistics. Measurement. Scales of Measurement 7/18/2012 Statistics Measurement Measurement is defined as a set of rules for assigning numbers to represent objects, traits, attributes, or behaviors A variableis something that varies (eye color), a constant does

More information

consider the number of math classes taken by math 150 students. how can we represent the results in one number?

consider the number of math classes taken by math 150 students. how can we represent the results in one number? ch 3: numerically summarizing data - center, spread, shape 3.1 measure of central tendency or, give me one number that represents all the data consider the number of math classes taken by math 150 students.

More information

Orthogonal Projections

Orthogonal Projections Orthogonal Projections and Reflections (with exercises) by D. Klain Version.. Corrections and comments are welcome! Orthogonal Projections Let X,..., X k be a family of linearly independent (column) vectors

More information

Practice#1(chapter1,2) Name

Practice#1(chapter1,2) Name Practice#1(chapter1,2) Name Solve the problem. 1) The average age of the students in a statistics class is 22 years. Does this statement describe descriptive or inferential statistics? A) inferential statistics

More information

Descriptive Statistics

Descriptive Statistics Y520 Robert S Michael Goal: Learn to calculate indicators and construct graphs that summarize and describe a large quantity of values. Using the textbook readings and other resources listed on the web

More information

Measures of Central Tendency: Mean, Median, and Mode Examples

Measures of Central Tendency: Mean, Median, and Mode Examples Measures of Central Tendency: Mean, Median, and Mode Examples 1. Lesson Initiator What is the purpose of finding an average? Answers will vary. A sample answer would be that an average is a value representative

More information

13 EXPENDITURE MULTIPLIERS: THE KEYNESIAN MODEL* Chapter. Key Concepts

13 EXPENDITURE MULTIPLIERS: THE KEYNESIAN MODEL* Chapter. Key Concepts Chapter 3 EXPENDITURE MULTIPLIERS: THE KEYNESIAN MODEL* Key Concepts Fixed Prices and Expenditure Plans In the very short run, firms do not change their prices and they sell the amount that is demanded.

More information

Section 1.1. Introduction to R n

Section 1.1. Introduction to R n The Calculus of Functions of Several Variables Section. Introduction to R n Calculus is the study of functional relationships and how related quantities change with each other. In your first exposure to

More information

1.3 Measuring Center & Spread, The Five Number Summary & Boxplots. Describing Quantitative Data with Numbers

1.3 Measuring Center & Spread, The Five Number Summary & Boxplots. Describing Quantitative Data with Numbers 1.3 Measuring Center & Spread, The Five Number Summary & Boxplots Describing Quantitative Data with Numbers 1.3 I can n Calculate and interpret measures of center (mean, median) in context. n Calculate

More information

Statistics Review PSY379

Statistics Review PSY379 Statistics Review PSY379 Basic concepts Measurement scales Populations vs. samples Continuous vs. discrete variable Independent vs. dependent variable Descriptive vs. inferential stats Common analyses

More information

Diagrams and Graphs of Statistical Data

Diagrams and Graphs of Statistical Data Diagrams and Graphs of Statistical Data One of the most effective and interesting alternative way in which a statistical data may be presented is through diagrams and graphs. There are several ways in

More information

Mean, Median, and Mode

Mean, Median, and Mode DELTA MATH SCIENCE PARTNERSHIP INITIATIVE M 3 Summer Institutes (Math, Middle School, MS Common Core) Mean, Median, and Mode Hook Problem: To compare two shipments, five packages from each shipment were

More information

Chapter 4. Moment - the tendency of a force to rotate an object

Chapter 4. Moment - the tendency of a force to rotate an object Chapter 4 Moment - the tendency of a force to rotate an object Finding the moment - 2D Scalar Formulation Magnitude of force Mo = F d Rotation is clockwise or counter clockwise Moment about 0 Perpendicular

More information

Introduction to Statistics and Quantitative Research Methods

Introduction to Statistics and Quantitative Research Methods Introduction to Statistics and Quantitative Research Methods Purpose of Presentation To aid in the understanding of basic statistics, including terminology, common terms, and common statistical methods.

More information

TI-Inspire manual 1. Instructions. Ti-Inspire for statistics. General Introduction

TI-Inspire manual 1. Instructions. Ti-Inspire for statistics. General Introduction TI-Inspire manual 1 General Introduction Instructions Ti-Inspire for statistics TI-Inspire manual 2 TI-Inspire manual 3 Press the On, Off button to go to Home page TI-Inspire manual 4 Use the to navigate

More information