PS2: LT2.4 6E.1-4 MEASURE OF CENTER MEASURES OF CENTER

Size: px
Start display at page:

Download "PS2: LT2.4 6E.1-4 MEASURE OF CENTER MEASURES OF CENTER"

Transcription

1 PS2: LT2.4 6E.1-4 MEASURE OF CENTER That s a mouthful MEASURES OF CENTER There are 3 measures of center that you are familiar with. We are going to use notation that may be unfamiliar, so pay attention. 1. Mode: The most frequent or highest frequency Bimodal: 2 modes for a data set. For grouped numerical data, we talk about a modal class, which is the class that occurs most frequently. 2. Median: Middle most term when the data is organized from least to greatest. 3. Mean: The average score by taking the sum of all scores and dividing them by the total frequency of the values. GaEyL_eXATof04d6Iw&safe=active 1

2 SIGMA NOTATION Summation notation or sigma notation is used to show the sum of values. It is the sum of the finite set. n=total data points (ending) i=1 (starting point) x i (terms in the summation) = the sum of all x i values Lets break it down, using the set v = {1,3,4,9} n i=1 v = = 17 WHY BRING THIS UP? We use this notation to find the mean. Suppose x is a numerical variable and there are n data values in the sample. We let x i be the i th data value from the sample of values x 1, x 2, x 3, x n 1, x n. The mean of the sample is denotes by x bar or x. n x = x 1 + x 2 + x 3 + x n n i=1 = n x i Note: We denote μ mu as the population. 2

3 MEDIAN The median cuts the data in halves. Half of the data are less than or equal to the median, and half are greater than or equal to it. DON T FORGET TO ORDER THE DATA FIRST BEFORE FINDING THE MEDIAN!!! For an odd number of data, the median is an actual data point. For an even number of data, the median is the average of the two middle values, and may not be in the original data set. If there are n data values, the median is the n+ 1 th data value. 2 EXAMPLE What term would be the middle of a data set with n = 39 n+1 = 39+1 = 40 = 20. So the median is the th ordered data value. What term would the middle of data set with n = 1344 be? 3

4 FIND THE MEASURE OF CENTER! A teenage delinquent recorded the time (in minutes per day) he spent playing computer games rather than doing his homework over a 2 week holiday period: 121, 65, 45, 130, 150, 83, 148, 137, 20, 173, 56, 49, 104, 97. Lets use the calculators stat edit enter the values in L 1 stat over to calc 1 var stats calculate (some calculators ask for the list which is 2nd 1) CHOOSING THE RIGHT MEASURE OF CENTRE Mean: Commonly used and easy to understand Takes all values into account Affected by extremes (outliers). (do not use mean when data has an outlier) Mode: Gives the most usual value Only takes common values into account Not affected by extremes (outliers) Median: Gives the halfway point of the data Only takes middles values into account Not affected by extremes (outliers) 4

5 MEASURES OF THE CENTRE FROM OTHER SOURCES Frequency tables can make the measures of center more difficult, however, it is better then the alternative. Mode: The most frequent. Median: middle. How would we find the middle term? Mean: This can be tricky, but there is a way to do this using the table. MEASURES OF THE CENTRE FROM OTHER SOURCES Mean: We can sum up the data value multiplied by the frequency, then divided by the sum of the frequencies. So, can someone interpret: x = fx f 5

6 MEASURES OF THE CENTRE FROM OTHER SOURCES Try it find it on your own. x = fx = 278 f THE MEDIAN What is the middle term? 20th and 21st data values. We can create another column for the cumulative frequency, which is the frequencies added together starting with the lowest data value, to the highest. Cumulative Frequency Therefore the middle term must be

7 EXAMPLE The table shows the number of aces served by tennis players in their first sets of a tournament. Determine the: A. mean B. median C. mode for this data. A) 3.25 aces B) the 28 th data value is 3 aces. C) 3 aces. THE OTHER APPROACH Using a calculator, lets do another example: Find the mean, median and mode. IA Scores Frequency

8 GROUPED DATA Estimate the mean of the following ages of bus drivers data, to the nearest year: We need to organize this in a vertical frequency table, and use the midpoint of the grouped data to use as x. mean 37.7 HOMEWORK 6E.1 #1,4,12,13,16 6E.2 #2,3 6E.3 #2-4 6E.4 #1,2,5,6 8

15 Wyner Statistics Fall 2013

15 Wyner Statistics Fall 2013 15 Wyner Statistics Fall 2013 CHAPTER THREE: CENTRAL TENDENCY AND VARIATION Summary, Terms, and Objectives The two most important aspects of a numerical data set are its central tendencies and its variation.

More information

September 11, Unit 2 Day 1 Notes Measures of Central Tendency.notebook

September 11, Unit 2 Day 1 Notes Measures of Central Tendency.notebook Measures of Central Tendency: Mean, Median, Mode and Midrange A Measure of Central Tendency is a value that represents a typical or central entry of a data set. Four most commonly used measures of central

More information

Section 3.2 Measures of Central Tendency MDM4U Jensen

Section 3.2 Measures of Central Tendency MDM4U Jensen Section 3.2 Measures of Central Tendency MDM4U Jensen Part 1: Video This video will review shape of distributions and introduce measures of central tendency. Answer the following questions while watching.

More information

Chpt 3. Data Description. 3-2 Measures of Central Tendency /40

Chpt 3. Data Description. 3-2 Measures of Central Tendency /40 Chpt 3 Data Description 3-2 Measures of Central Tendency 1 /40 Chpt 3 Homework 3-2 Read pages 96-109 p109 Applying the Concepts p110 1, 8, 11, 15, 27, 33 2 /40 Chpt 3 3.2 Objectives l Summarize data using

More information

Unit 7 Statistics. AFM Mrs. Valentine. 7.1 Samples and Surveys

Unit 7 Statistics. AFM Mrs. Valentine. 7.1 Samples and Surveys Unit 7 Statistics AFM Mrs. Valentine 7.1 Samples and Surveys v Obj.: I will understand the different methods of sampling and studying data. I will be able to determine the type used in an example, and

More information

MATH NATION SECTION 9 H.M.H. RESOURCES

MATH NATION SECTION 9 H.M.H. RESOURCES MATH NATION SECTION 9 H.M.H. RESOURCES SPECIAL NOTE: These resources were assembled to assist in student readiness for their upcoming Algebra 1 EOC. Although these resources have been compiled for your

More information

Data Description Measures of central tendency

Data Description Measures of central tendency Data Description Measures of central tendency Measures of average are called measures of central tendency and include the mean, median, mode, and midrange. Measures taken by using all the data values in

More information

Chapter 2. Descriptive Statistics: Organizing, Displaying and Summarizing Data

Chapter 2. Descriptive Statistics: Organizing, Displaying and Summarizing Data Chapter 2 Descriptive Statistics: Organizing, Displaying and Summarizing Data Objectives Student should be able to Organize data Tabulate data into frequency/relative frequency tables Display data graphically

More information

LESSON 3: CENTRAL TENDENCY

LESSON 3: CENTRAL TENDENCY LESSON 3: CENTRAL TENDENCY Outline Arithmetic mean, median and mode Ungrouped data Grouped data Percentiles, fractiles, and quartiles Ungrouped data Grouped data 1 MEAN Mean is defined as follows: Sum

More information

Downloaded from

Downloaded from UNIT 2 WHAT IS STATISTICS? Researchers deal with a large amount of data and have to draw dependable conclusions on the basis of data collected for the purpose. Statistics help the researchers in making

More information

L E A R N I N G O B JE C T I V E S

L E A R N I N G O B JE C T I V E S 2.2 Measures of Central Location L E A R N I N G O B JE C T I V E S 1. To learn the concept of the center of a data set. 2. To learn the meaning of each of three measures of the center of a data set the

More information

3.2-Measures of Center

3.2-Measures of Center 3.2-Measures of Center Characteristics of Center: Measures of center, including mean, median, and mode are tools for analyzing data which reflect the value at the center or middle of a set of data. We

More information

Averages and Variation

Averages and Variation Averages and Variation 3 Copyright Cengage Learning. All rights reserved. 3.1-1 Section 3.1 Measures of Central Tendency: Mode, Median, and Mean Copyright Cengage Learning. All rights reserved. 3.1-2 Focus

More information

MAT 142 College Mathematics. Module ST. Statistics. Terri Miller revised July 14, 2015

MAT 142 College Mathematics. Module ST. Statistics. Terri Miller revised July 14, 2015 MAT 142 College Mathematics Statistics Module ST Terri Miller revised July 14, 2015 2 Statistics Data Organization and Visualization Basic Terms. A population is the set of all objects under study, a sample

More information

Math 214 Introductory Statistics Summer Class Notes Sections 3.2, : 1-21 odd 3.3: 7-13, Measures of Central Tendency

Math 214 Introductory Statistics Summer Class Notes Sections 3.2, : 1-21 odd 3.3: 7-13, Measures of Central Tendency Math 14 Introductory Statistics Summer 008 6-9-08 Class Notes Sections 3, 33 3: 1-1 odd 33: 7-13, 35-39 Measures of Central Tendency odd Notation: Let N be the size of the population, n the size of the

More information

STA Rev. F Learning Objectives. Learning Objectives (Cont.) Module 3 Descriptive Measures

STA Rev. F Learning Objectives. Learning Objectives (Cont.) Module 3 Descriptive Measures STA 2023 Module 3 Descriptive Measures Learning Objectives Upon completing this module, you should be able to: 1. Explain the purpose of a measure of center. 2. Obtain and interpret the mean, median, and

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 lowest value + highest value midrange The word average: is very ambiguous and can actually refer to the mean,

More information

Name Geometry Intro to Stats. Find the mean, median, and mode of the data set. 1. 1,6,3,9,6,8,4,4,4. Mean = Median = Mode = 2.

Name Geometry Intro to Stats. Find the mean, median, and mode of the data set. 1. 1,6,3,9,6,8,4,4,4. Mean = Median = Mode = 2. Name Geometry Intro to Stats Statistics are numerical values used to summarize and compare sets of data. Two important types of statistics are measures of central tendency and measures of dispersion. A

More information

CHAPTER 2 DESCRIPTIVE STATISTICS

CHAPTER 2 DESCRIPTIVE STATISTICS CHAPTER 2 DESCRIPTIVE STATISTICS 1. Stem-and-Leaf Graphs, Line Graphs, and Bar Graphs The distribution of data is how the data is spread or distributed over the range of the data values. This is one of

More information

/ / / x means sum of scores and n =/ f is the number of scores. J 14. Data. Knowing More. Mean, Median, Mode

/ / / x means sum of scores and n =/ f is the number of scores. J 14. Data. Knowing More. Mean, Median, Mode Mean, Median, Mode The mean of a data set is written as xr (pronounced x-bar ). It is the arithmetic average of the data set. sumofscores x x x r = or xr = = number of scores n f where x means sum of scores

More information

Measures of Central Tendency

Measures of Central Tendency Page of 6 Measures of Central Tendency A measure of central tendency is a value used to represent the typical or average value in a data set. The Mean The sum of all data values divided by the number of

More information

Chapter Two: Descriptive Methods 1/50

Chapter Two: Descriptive Methods 1/50 Chapter Two: Descriptive Methods 1/50 2.1 Introduction 2/50 2.1 Introduction We previously said that descriptive statistics is made up of various techniques used to summarize the information contained

More information

Statistics. MAT 142 College Mathematics. Module ST. Terri Miller revised December 13, Population, Sample, and Data Basic Terms.

Statistics. MAT 142 College Mathematics. Module ST. Terri Miller revised December 13, Population, Sample, and Data Basic Terms. MAT 142 College Mathematics Statistics Module ST Terri Miller revised December 13, 2010 1.1. Basic Terms. 1. Population, Sample, and Data A population is the set of all objects under study, a sample is

More information

3.1 Measures of Central Tendency

3.1 Measures of Central Tendency 3.1 Measures of Central Tendency 3.1 Measures of Central Tendency A statistic is a characteristic or measure obtained by using the data values from a sample. A parameter is a characteristic or measure

More information

a. divided by the. 1) Always round!! a) Even if class width comes out to a, go up one.

a. divided by the. 1) Always round!! a) Even if class width comes out to a, go up one. Probability and Statistics Chapter 2 Notes I Section 2-1 A Steps to Constructing Frequency Distributions 1 Determine number of (may be given to you) a Should be between and classes 2 Find the Range a The

More information

CHAPTER 2: DESCRIPTIVE STATISTICS Lecture Notes for Introductory Statistics 1. Daphne Skipper, Augusta University (2016)

CHAPTER 2: DESCRIPTIVE STATISTICS Lecture Notes for Introductory Statistics 1. Daphne Skipper, Augusta University (2016) CHAPTER 2: DESCRIPTIVE STATISTICS Lecture Notes for Introductory Statistics 1 Daphne Skipper, Augusta University (2016) 1. Stem-and-Leaf Graphs, Line Graphs, and Bar Graphs The distribution of data is

More information

3.2 Measures of Central Tendency Lesson MDM4U Jensen

3.2 Measures of Central Tendency Lesson MDM4U Jensen 3.2 Measures of Central Tendency Lesson MDM4U Jensen - In this section, you will learn how to describe a set of numeric data using a single value - The value you calculate will describe the of the set

More information

Measures of Central Tendency

Measures of Central Tendency Measures of Central Tendency MATH 130, Elements of Statistics I J. Robert Buchanan Department of Mathematics Fall 2017 Introduction Measures of central tendency are designed to provide one number which

More information

Measures of Central Tendency. A measure of central tendency is a value used to represent the typical or average value in a data set.

Measures of Central Tendency. A measure of central tendency is a value used to represent the typical or average value in a data set. Measures of Central Tendency A measure of central tendency is a value used to represent the typical or average value in a data set. The Mean the sum of all data values divided by the number of values in

More information

Math 155. Measures of Central Tendency Section 3.1

Math 155. Measures of Central Tendency Section 3.1 Math 155. Measures of Central Tendency Section 3.1 The word average can be used in a variety of contexts: for example, your average score on assignments or the average house price in Riverside. This is

More information

STP 226 ELEMENTARY STATISTICS NOTES PART 2 - DESCRIPTIVE STATISTICS CHAPTER 3 DESCRIPTIVE MEASURES

STP 226 ELEMENTARY STATISTICS NOTES PART 2 - DESCRIPTIVE STATISTICS CHAPTER 3 DESCRIPTIVE MEASURES STP 6 ELEMENTARY STATISTICS NOTES PART - DESCRIPTIVE STATISTICS CHAPTER 3 DESCRIPTIVE MEASURES Chapter covered organizing data into tables, and summarizing data with graphical displays. We will now use

More information

Univariate Statistics Summary

Univariate Statistics Summary Further Maths Univariate Statistics Summary Types of Data Data can be classified as categorical or numerical. Categorical data are observations or records that are arranged according to category. For example:

More information

Chapter 3: Data Description

Chapter 3: Data Description Chapter 3: Data Description Diana Pell Section 3.1: Measures of Central Tendency A statistic is a characteristic or measure obtained by using the data values from a sample. A parameter is a characteristic

More information

Prepare a stem-and-leaf graph for the following data. In your final display, you should arrange the leaves for each stem in increasing order.

Prepare a stem-and-leaf graph for the following data. In your final display, you should arrange the leaves for each stem in increasing order. Chapter 2 2.1 Descriptive Statistics A stem-and-leaf graph, also called a stemplot, allows for a nice overview of quantitative data without losing information on individual observations. It can be a good

More information

Chapter 2 Describing, Exploring, and Comparing Data

Chapter 2 Describing, Exploring, and Comparing Data Slide 1 Chapter 2 Describing, Exploring, and Comparing Data Slide 2 2-1 Overview 2-2 Frequency Distributions 2-3 Visualizing Data 2-4 Measures of Center 2-5 Measures of Variation 2-6 Measures of Relative

More information

Measures of Position

Measures of Position Measures of Position In this section, we will learn to use fractiles. Fractiles are numbers that partition, or divide, an ordered data set into equal parts (each part has the same number of data entries).

More information

IQR = number. summary: largest. = 2. Upper half: Q3 =

IQR = number. summary: largest. = 2. Upper half: Q3 = Step by step box plot Height in centimeters of players on the 003 Women s Worldd Cup soccer team. 157 1611 163 163 164 165 165 165 168 168 168 170 170 170 171 173 173 175 180 180 Determine the 5 number

More information

2.1: Frequency Distributions and Their Graphs

2.1: Frequency Distributions and Their Graphs 2.1: Frequency Distributions and Their Graphs Frequency Distribution - way to display data that has many entries - table that shows classes or intervals of data entries and the number of entries in each

More information

SCHOOL OF BUSINESS, ECONOMICS AND MANAGEMENT BBA240 STATISTICS/ QUANTITATIVE METHODS FOR BUSINESS AND ECONOMICS

SCHOOL OF BUSINESS, ECONOMICS AND MANAGEMENT BBA240 STATISTICS/ QUANTITATIVE METHODS FOR BUSINESS AND ECONOMICS SCHOOL OF BUSINESS, ECONOMICS AND MANAGEMENT BBA240 STATISTICS/ QUANTITATIVE METHODS FOR BUSINESS AND ECONOMICS Unit Two Moses Mwale e-mail: moses.mwale@ictar.ac.zm ii Contents Contents UNIT 2: Numerical

More information

1.3 Box and Whisker Plot

1.3 Box and Whisker Plot 1.3 Box and Whisker Plot 1 Box and Whisker Plot = a type of graph used to display data. It shows how data are dispersed around a median, but does not show specific items in the data. How to form one: Example:

More information

Data can be in the form of numbers, words, measurements, observations or even just descriptions of things.

Data can be in the form of numbers, words, measurements, observations or even just descriptions of things. + What is Data? Data is a collection of facts. Data can be in the form of numbers, words, measurements, observations or even just descriptions of things. In most cases, data needs to be interpreted and

More information

Frequency Distributions

Frequency Distributions Displaying Data Frequency Distributions After collecting data, the first task for a researcher is to organize and summarize the data so that it is possible to get a general overview of the results. Remember,

More information

Chapter 5 Statistical Reasoning 5.1 Exploring Data

Chapter 5 Statistical Reasoning 5.1 Exploring Data Chapter 5 Statistical Reasoning 5.1 Exploring Data Nov 20 8:04 AM Statistics the branch of applied mathematics concerned with the collection, analysis and interpretation of numerical data. When data is

More information

Measures of Dispersion

Measures of Dispersion Lesson 7.6 Objectives Find the variance of a set of data. Calculate standard deviation for a set of data. Read data from a normal curve. Estimate the area under a curve. Variance Measures of Dispersion

More information

Numerical Summaries of Data Section 14.3

Numerical Summaries of Data Section 14.3 MATH 11008: Numerical Summaries of Data Section 14.3 MEAN mean: The mean (or average) of a set of numbers is computed by determining the sum of all the numbers and dividing by the total number of observations.

More information

STA 570 Spring Lecture 5 Tuesday, Feb 1

STA 570 Spring Lecture 5 Tuesday, Feb 1 STA 570 Spring 2011 Lecture 5 Tuesday, Feb 1 Descriptive Statistics Summarizing Univariate Data o Standard Deviation, Empirical Rule, IQR o Boxplots Summarizing Bivariate Data o Contingency Tables o Row

More information

Things you ll know (or know better to watch out for!) when you leave in December: 1. What you can and cannot infer from graphs.

Things you ll know (or know better to watch out for!) when you leave in December: 1. What you can and cannot infer from graphs. 1 2 Things you ll know (or know better to watch out for!) when you leave in December: 1. What you can and cannot infer from graphs. 2. How to construct (in your head!) and interpret confidence intervals.

More information

+ Statistical Methods in

+ Statistical Methods in 9/4/013 Statistical Methods in Practice STA/MTH 379 Dr. A. B. W. Manage Associate Professor of Mathematics & Statistics Department of Mathematics & Statistics Sam Houston State University Discovering Statistics

More information

Section 5.2: BUY OR SELL A CAR OBJECTIVES

Section 5.2: BUY OR SELL A CAR OBJECTIVES Section 5.2: BUY OR SELL A CAR OBJECTIVES Compute mean, median, mode, range, quartiles, and interquartile range. Key Terms statistics data measures of central tendency mean arithmetic average outlier median

More information

STANDARDS OF LEARNING CONTENT REVIEW NOTES ALGEBRA I. 4 th Nine Weeks,

STANDARDS OF LEARNING CONTENT REVIEW NOTES ALGEBRA I. 4 th Nine Weeks, STANDARDS OF LEARNING CONTENT REVIEW NOTES ALGEBRA I 4 th Nine Weeks, 2016-2017 1 OVERVIEW Algebra I Content Review Notes are designed by the High School Mathematics Steering Committee as a resource for

More information

CHAPTER 2: SAMPLING AND DATA

CHAPTER 2: SAMPLING AND DATA CHAPTER 2: SAMPLING AND DATA This presentation is based on material and graphs from Open Stax and is copyrighted by Open Stax and Georgia Highlands College. OUTLINE 2.1 Stem-and-Leaf Graphs (Stemplots),

More information

Chapter 3. Descriptive Measures. Slide 3-2. Copyright 2012, 2008, 2005 Pearson Education, Inc.

Chapter 3. Descriptive Measures. Slide 3-2. Copyright 2012, 2008, 2005 Pearson Education, Inc. Chapter 3 Descriptive Measures Slide 3-2 Section 3.1 Measures of Center Slide 3-3 Definition 3.1 Mean of a Data Set The mean of a data set is the sum of the observations divided by the number of observations.

More information

To calculate the arithmetic mean, sum all the values and divide by n (equivalently, multiple 1/n): 1 n. = 29 years.

To calculate the arithmetic mean, sum all the values and divide by n (equivalently, multiple 1/n): 1 n. = 29 years. 3: Summary Statistics Notation Consider these 10 ages (in years): 1 4 5 11 30 50 8 7 4 5 The symbol n represents the sample size (n = 10). The capital letter X denotes the variable. x i represents the

More information

Learning Log Title: CHAPTER 8: STATISTICS AND MULTIPLICATION EQUATIONS. Date: Lesson: Chapter 8: Statistics and Multiplication Equations

Learning Log Title: CHAPTER 8: STATISTICS AND MULTIPLICATION EQUATIONS. Date: Lesson: Chapter 8: Statistics and Multiplication Equations Chapter 8: Statistics and Multiplication Equations CHAPTER 8: STATISTICS AND MULTIPLICATION EQUATIONS Date: Lesson: Learning Log Title: Date: Lesson: Learning Log Title: Chapter 8: Statistics and Multiplication

More information

DAY 52 BOX-AND-WHISKER

DAY 52 BOX-AND-WHISKER DAY 52 BOX-AND-WHISKER VOCABULARY The Median is the middle number of a set of data when the numbers are arranged in numerical order. The Range of a set of data is the difference between the highest and

More information

Chapter 1 Histograms, Scatterplots, and Graphs of Functions

Chapter 1 Histograms, Scatterplots, and Graphs of Functions Chapter 1 Histograms, Scatterplots, and Graphs of Functions 1.1 Using Lists for Data Entry To enter data into the calculator you use the statistics menu. You can store data into lists labeled L1 through

More information

Name: Date: Period: Chapter 2. Section 1: Describing Location in a Distribution

Name: Date: Period: Chapter 2. Section 1: Describing Location in a Distribution Name: Date: Period: Chapter 2 Section 1: Describing Location in a Distribution Suppose you earned an 86 on a statistics quiz. The question is: should you be satisfied with this score? What if it is the

More information

M7D1.a: Formulate questions and collect data from a census of at least 30 objects and from samples of varying sizes.

M7D1.a: Formulate questions and collect data from a census of at least 30 objects and from samples of varying sizes. M7D1.a: Formulate questions and collect data from a census of at least 30 objects and from samples of varying sizes. Population: Census: Biased: Sample: The entire group of objects or individuals considered

More information

Introduction to the Practice of Statistics Fifth Edition Moore, McCabe

Introduction to the Practice of Statistics Fifth Edition Moore, McCabe Introduction to the Practice of Statistics Fifth Edition Moore, McCabe Section 1.3 Homework Answers Assignment 5 1.80 If you ask a computer to generate "random numbers between 0 and 1, you uniform will

More information

Chapter 6: DESCRIPTIVE STATISTICS

Chapter 6: DESCRIPTIVE STATISTICS Chapter 6: DESCRIPTIVE STATISTICS Random Sampling Numerical Summaries Stem-n-Leaf plots Histograms, and Box plots Time Sequence Plots Normal Probability Plots Sections 6-1 to 6-5, and 6-7 Random Sampling

More information

Bar Graphs and Dot Plots

Bar Graphs and Dot Plots CONDENSED LESSON 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

Measures of Position. 1. Determine which student did better

Measures of Position. 1. Determine which student did better Measures of Position z-score (standard score) = number of standard deviations that a given value is above or below the mean (Round z to two decimal places) Sample z -score x x z = s Population z - score

More information

Chapter 2 Modeling Distributions of Data

Chapter 2 Modeling Distributions of Data Chapter 2 Modeling Distributions of Data Section 2.1 Describing Location in a Distribution Describing Location in a Distribution Learning Objectives After this section, you should be able to: FIND and

More information

Stat 528 (Autumn 2008) Density Curves and the Normal Distribution. Measures of center and spread. Features of the normal distribution

Stat 528 (Autumn 2008) Density Curves and the Normal Distribution. Measures of center and spread. Features of the normal distribution Stat 528 (Autumn 2008) Density Curves and the Normal Distribution Reading: Section 1.3 Density curves An example: GRE scores Measures of center and spread The normal distribution Features of the normal

More information

Data Analysis & Probability

Data Analysis & Probability Unit 5 Probability Distributions Name: Date: Hour: Section 7.2: The Standard Normal Distribution (Area under the curve) Notes By the end of this lesson, you will be able to Find the area under the standard

More information

Descriptive Statistics

Descriptive Statistics Chapter 2 Descriptive Statistics 2.1 Descriptive Statistics 1 2.1.1 Student Learning Objectives By the end of this chapter, the student should be able to: Display data graphically and interpret graphs:

More information

MATH 1070 Introductory Statistics Lecture notes Descriptive Statistics and Graphical Representation

MATH 1070 Introductory Statistics Lecture notes Descriptive Statistics and Graphical Representation MATH 1070 Introductory Statistics Lecture notes Descriptive Statistics and Graphical Representation Objectives: 1. Learn the meaning of descriptive versus inferential statistics 2. Identify bar graphs,

More information

Day 4 Percentiles and Box and Whisker.notebook. April 20, 2018

Day 4 Percentiles and Box and Whisker.notebook. April 20, 2018 Day 4 Box & Whisker Plots and Percentiles In a previous lesson, we learned that the median divides a set a data into 2 equal parts. Sometimes it is necessary to divide the data into smaller more precise

More information

Section 9: One Variable Statistics

Section 9: One Variable Statistics The following Mathematics Florida Standards will be covered in this section: MAFS.912.S-ID.1.1 MAFS.912.S-ID.1.2 MAFS.912.S-ID.1.3 Represent data with plots on the real number line (dot plots, histograms,

More information

Maths Revision Worksheet: Algebra I Week 1 Revision 5 Problems per night

Maths Revision Worksheet: Algebra I Week 1 Revision 5 Problems per night 2 nd Year Maths Revision Worksheet: Algebra I Maths Revision Worksheet: Algebra I Week 1 Revision 5 Problems per night 1. I know how to add and subtract positive and negative numbers. 2. I know how to

More information

When data is collected from every member of the group, a census is held. The group in this instance is called the population.

When data is collected from every member of the group, a census is held. The group in this instance is called the population. Numeracy Introduction to Statistics Statistics is a branch of mathematics that is concerned with the planning, collection, organisation, analysis, reporting of data and the interpretation of results. The

More information

Math 101 Final Exam Study Notes:

Math 101 Final Exam Study Notes: Math 101 Final Exam Study Notes: *Please remember there is a large set of final exam review problems in Doc Sharing (under Course Tools in MLP). Highlighted are what might be considered formulas* I. Graph

More information

Chapter 2: The Normal Distribution

Chapter 2: The Normal Distribution Chapter 2: The Normal Distribution 2.1 Density Curves and the Normal Distributions 2.2 Standard Normal Calculations 1 2 Histogram for Strength of Yarn Bobbins 15.60 16.10 16.60 17.10 17.60 18.10 18.60

More information

Measures of Dispersion

Measures of Dispersion Measures of Dispersion 6-3 I Will... Find measures of dispersion of sets of data. Find standard deviation and analyze normal distribution. Day 1: Dispersion Vocabulary Measures of Variation (Dispersion

More information

Basic Commands. Consider the data set: {15, 22, 32, 31, 52, 41, 11}

Basic Commands. Consider the data set: {15, 22, 32, 31, 52, 41, 11} Entering Data: Basic Commands Consider the data set: {15, 22, 32, 31, 52, 41, 11} Data is stored in Lists on the calculator. Locate and press the STAT button on the calculator. Choose EDIT. The calculator

More information

Learning Objectives. Continuous Random Variables & The Normal Probability Distribution. Continuous Random Variable

Learning Objectives. Continuous Random Variables & The Normal Probability Distribution. Continuous Random Variable Learning Objectives Continuous Random Variables & The Normal Probability Distribution 1. Understand characteristics about continuous random variables and probability distributions 2. Understand the uniform

More information

Chapter 3: Data Description - Part 3. Homework: Exercises 1-21 odd, odd, odd, 107, 109, 118, 119, 120, odd

Chapter 3: Data Description - Part 3. Homework: Exercises 1-21 odd, odd, odd, 107, 109, 118, 119, 120, odd Chapter 3: Data Description - Part 3 Read: Sections 1 through 5 pp 92-149 Work the following text examples: Section 3.2, 3-1 through 3-17 Section 3.3, 3-22 through 3.28, 3-42 through 3.82 Section 3.4,

More information

CHAPTER 1. Introduction. Statistics: Statistics is the science of collecting, organizing, analyzing, presenting and interpreting data.

CHAPTER 1. Introduction. Statistics: Statistics is the science of collecting, organizing, analyzing, presenting and interpreting data. 1 CHAPTER 1 Introduction Statistics: Statistics is the science of collecting, organizing, analyzing, presenting and interpreting data. Variable: Any characteristic of a person or thing that can be expressed

More information

STANDARDS OF LEARNING CONTENT REVIEW NOTES. ALGEBRA I Part II. 3 rd Nine Weeks,

STANDARDS OF LEARNING CONTENT REVIEW NOTES. ALGEBRA I Part II. 3 rd Nine Weeks, STANDARDS OF LEARNING CONTENT REVIEW NOTES ALGEBRA I Part II 3 rd Nine Weeks, 2016-2017 1 OVERVIEW Algebra I Content Review Notes are designed by the High School Mathematics Steering Committee as a resource

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

Center, Shape, & Spread Center, shape, and spread are all words that describe what a particular graph looks like.

Center, Shape, & Spread Center, shape, and spread are all words that describe what a particular graph looks like. Center, Shape, & Spread Center, shape, and spread are all words that describe what a particular graph looks like. Center When we talk about center, shape, or spread, we are talking about the distribution

More information

CHAPTER 3: Data Description

CHAPTER 3: Data Description CHAPTER 3: Data Description You ve tabulated and made pretty pictures. Now what numbers do you use to summarize your data? Ch3: Data Description Santorico Page 68 You ll find a link on our website to a

More information

Summer Packet 7 th into 8 th grade. Name. Integer Operations = 2. (-7)(6)(-4) = = = = 6.

Summer Packet 7 th into 8 th grade. Name. Integer Operations = 2. (-7)(6)(-4) = = = = 6. Integer Operations Name Adding Integers If the signs are the same, add the numbers and keep the sign. 7 + 9 = 16 - + -6 = -8 If the signs are different, find the difference between the numbers and keep

More information

Applied Statistics for the Behavioral Sciences

Applied Statistics for the Behavioral Sciences Applied Statistics for the Behavioral Sciences Chapter 2 Frequency Distributions and Graphs Chapter 2 Outline Organization of Data Simple Frequency Distributions Grouped Frequency Distributions Graphs

More information

STA Module 2B Organizing Data and Comparing Distributions (Part II)

STA Module 2B Organizing Data and Comparing Distributions (Part II) STA 2023 Module 2B Organizing Data and Comparing Distributions (Part II) Learning Objectives Upon completing this module, you should be able to 1 Explain the purpose of a measure of center 2 Obtain and

More information

STA Learning Objectives. Learning Objectives (cont.) Module 2B Organizing Data and Comparing Distributions (Part II)

STA Learning Objectives. Learning Objectives (cont.) Module 2B Organizing Data and Comparing Distributions (Part II) STA 2023 Module 2B Organizing Data and Comparing Distributions (Part II) Learning Objectives Upon completing this module, you should be able to 1 Explain the purpose of a measure of center 2 Obtain and

More information

Further Maths Notes. Common Mistakes. Read the bold words in the exam! Always check data entry. Write equations in terms of variables

Further Maths Notes. Common Mistakes. Read the bold words in the exam! Always check data entry. Write equations in terms of variables Further Maths Notes Common Mistakes Read the bold words in the exam! Always check data entry Remember to interpret data with the multipliers specified (e.g. in thousands) Write equations in terms of variables

More information

UNIT 1A EXPLORING UNIVARIATE DATA

UNIT 1A EXPLORING UNIVARIATE DATA A.P. STATISTICS E. Villarreal Lincoln HS Math Department UNIT 1A EXPLORING UNIVARIATE DATA LESSON 1: TYPES OF DATA Here is a list of important terms that we must understand as we begin our study of statistics

More information

Key: 5 9 represents a team with 59 wins. (c) The Kansas City Royals and Cleveland Indians, who both won 65 games.

Key: 5 9 represents a team with 59 wins. (c) The Kansas City Royals and Cleveland Indians, who both won 65 games. AP statistics Chapter 2 Notes Name Modeling Distributions of Data Per Date 2.1A Distribution of a variable is the a variable takes and it takes that value. When working with quantitative data we can calculate

More information

Mean,Median, Mode Teacher Twins 2015

Mean,Median, Mode Teacher Twins 2015 Mean,Median, Mode Teacher Twins 2015 Warm Up How can you change the non-statistical question below to make it a statistical question? How many pets do you have? Possible answer: What is your favorite type

More information

appstats6.notebook September 27, 2016

appstats6.notebook September 27, 2016 Chapter 6 The Standard Deviation as a Ruler and the Normal Model Objectives: 1.Students will calculate and interpret z scores. 2.Students will compare/contrast values from different distributions using

More information

Section 6.3: Measures of Position

Section 6.3: Measures of Position Section 6.3: Measures of Position Measures of position are numbers showing the location of data values relative to the other values within a data set. They can be used to compare values from different

More information

Chapter 1. Math review. 1.1 Some sets

Chapter 1. Math review. 1.1 Some sets Chapter 1 Math review This book assumes that you understood precalculus when you took it. So you used to know how to do things like factoring polynomials, solving high school geometry problems, using trigonometric

More information

MATH& 146 Lesson 8. Section 1.6 Averages and Variation

MATH& 146 Lesson 8. Section 1.6 Averages and Variation MATH& 146 Lesson 8 Section 1.6 Averages and Variation 1 Summarizing Data The distribution of a variable is the overall pattern of how often the possible values occur. For numerical variables, three summary

More information

Descriptive Statistics Descriptive statistics & pictorial representations of experimental data.

Descriptive Statistics Descriptive statistics & pictorial representations of experimental data. Psychology 312: Lecture 7 Descriptive Statistics Slide #1 Descriptive Statistics Descriptive statistics & pictorial representations of experimental data. In this lecture we will discuss descriptive statistics.

More information

Maths Class 9 Notes for Statistics

Maths Class 9 Notes for Statistics 1 P a g e Maths Class 9 Notes for Statistics BASIC TERMS Primary data : Data which collected for the first time by the statistical investigator or with the help of his workers is called primary data. Secondary

More information

SLStats.notebook. January 12, Statistics:

SLStats.notebook. January 12, Statistics: Statistics: 1 2 3 Ways to display data: 4 generic arithmetic mean sample 14A: Opener, #3,4 (Vocabulary, histograms, frequency tables, stem and leaf) 14B.1: #3,5,8,9,11,12,14,15,16 (Mean, median, mode,

More information

I can solve simultaneous equations algebraically, where one is quadratic and one is linear.

I can solve simultaneous equations algebraically, where one is quadratic and one is linear. A* I can manipulate algebraic fractions. I can use the equation of a circle. simultaneous equations algebraically, where one is quadratic and one is linear. I can transform graphs, including trig graphs.

More information

Raw Data is data before it has been arranged in a useful manner or analyzed using statistical techniques.

Raw Data is data before it has been arranged in a useful manner or analyzed using statistical techniques. Section 2.1 - Introduction Graphs are commonly used to organize, summarize, and analyze collections of data. Using a graph to visually present a data set makes it easy to comprehend and to describe the

More information

Processing, representing and interpreting data

Processing, representing and interpreting data Processing, representing and interpreting data 21 CHAPTER 2.1 A head CHAPTER 17 21.1 polygons A diagram can be drawn from grouped discrete data. A diagram looks the same as a bar chart except that the

More information