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

Size: px
Start display at page:

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

Transcription

1 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 parts. We can divide data into 4 equal parts called quartiles. The following diagram illustrates how this works: 1

2 Example: Find the median, first quartile and third quartile of the following data: {43, 42, 73, 74, 78, 82, 86, 80, 80, 87, 97, 91, 91} Step 1: Arrange in order lowest to highest. Step 2: Find and label the median. Step 3: Find and label the median of the lower half. Label this 1st Quartile. Step 4: Find the median of the upper half. Label this appropriately as the 3rd Quartile. 2

3 The five number summary of a set of data includes the minimum, the 1st quartile, the median, the 3rd quartile and the maximum. The minimum is the least value and the maximum is the greatest value. Find the five number summary for the data below: 125, 140, 80, 135, 126, 140, 350 The five number summary is min, 1st Q, median, 3rd Q, max 3

4 Percentiles are another way to divide data into even more precise groups. You have all seen percentiles when your guidance councilor talked to you about your performance on standardized tests. Percentiles separate data sets into 100 equal parts. The percentile rank of a score tells us the percent of values in the set less than or equal to that member. The median describes the th percentile. The first quartile describes the th percentile. The third quartile describes the th percentile. 4

5 Example: Of 25 test scores, eight are less than or equal to 75. What is the percentile rank of a test score of 75? Write a ratio of the number of score less than or equal to 75 compared to the total number of test scores Find the percentile rank of the following using the 20 item data set. 63, 64, 65, 70, 74, 75, 80, 80, 83, 84, 85, 87, 88, 89, 90, 91, 97, 98, 99, 100 Percentile rank of 70: How many data points are less than or equal to 70? Put this number over the total number of data points and change to a percent. Percentile rank of 80 How many data points are less than or equal to 80? Put this number over the total number of data points and change to a percent. Percentile rank of 90: How many data points are less than or equal to 90? Put this number over the number of data points and change to a percent. 5

6 16 students received the following scores on a math quiz. 60, 62, 62, 65, 70, 74, 74, 76, 78, 82, 85, 94, 96, 98, 98, 99 Find the median Find the first quartile Find the third quartile What is the percentile rank of 94? In fraction form in decimal form in percent form What is the percentile rank of 98? In fraction form in decimal form in percent form What is the percentile rank of 74? In fraction form in decimal form in percent form 6

7 A Box and Whisker Plot is a graph that describes data using the five number summary of a set. This plot is useful for comparing two or more data sets. The Box and Whisker Plot shows how the data for each set are distributed and what the extreme values are. Terms: median: the middle piece of data (50%) first or lower quartile : middle of lower half of data (25%) third or upper quartile: middle of upper half of data (75%) interquartile range: difference between the third and first quartile DATA MUST BE PUT INTO NUMERICAL ORDER BEFORE A BOX AND WHISKER PLOT CAN BE CONSTRUCTED 7

8 Steps in constructing a Box and Whisker Plot 1. Arrange the values in numerical order 2. Draw a number line to include the lowest and highest value in the data set 3. Calculate the median, the lower quartile and the upper quartile 4. Place dots above the number line to mark the 5 values : lowest value, lower quartile, median, upper quartile, and highest value Draw a box with the vertical ends passing through the lower and upper quartiles. Draw a vertical line in box through the median. Connect the two extreme values to the box with lines called whiskers. 8

9 Example 1: Data: 2, 2, 5, 5, 5, 6, 8, 5, 8, 9, 10, 12, 7, 8, Arrange the data in order: 2. Draw number line to include 2 to Determine the median = lower quartile = upper quartile = 4. Mark points the 5 data points 5. Draw box and whiskers. 6. What is the interquartile range? 9

10 Example 2: Make a box and whisker plot from the following data Low score High score Median Lower quartile Upper quartile 10

11 11

12 12

Box and Whisker Plot Review A Five Number Summary. October 16, Box and Whisker Lesson.notebook. Oct 14 5:21 PM. Oct 14 5:21 PM.

Box and Whisker Plot Review A Five Number Summary. October 16, Box and Whisker Lesson.notebook. Oct 14 5:21 PM. Oct 14 5:21 PM. Oct 14 5:21 PM Oct 14 5:21 PM Box and Whisker Plot Review A Five Number Summary Activities Practice Labeling Title Page 1 Click on each word to view its definition. Outlier Median Lower Extreme Upper Extreme

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

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

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

MATH& 146 Lesson 10. Section 1.6 Graphing Numerical Data

MATH& 146 Lesson 10. Section 1.6 Graphing Numerical Data MATH& 146 Lesson 10 Section 1.6 Graphing Numerical Data 1 Graphs of Numerical Data One major reason for constructing a graph of numerical data is to display its distribution, or the pattern of variability

More information

WHOLE NUMBER AND DECIMAL OPERATIONS

WHOLE NUMBER AND DECIMAL OPERATIONS WHOLE NUMBER AND DECIMAL OPERATIONS Whole Number Place Value : 5,854,902 = Ten thousands thousands millions Hundred thousands Ten thousands Adding & Subtracting Decimals : Line up the decimals vertically.

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

Probability and Statistics. Copyright Cengage Learning. All rights reserved.

Probability and Statistics. Copyright Cengage Learning. All rights reserved. Probability and Statistics Copyright Cengage Learning. All rights reserved. 14.5 Descriptive Statistics (Numerical) Copyright Cengage Learning. All rights reserved. Objectives Measures of Central Tendency:

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

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

Learning Log Title: CHAPTER 7: PROPORTIONS AND PERCENTS. Date: Lesson: Chapter 7: Proportions and Percents

Learning Log Title: CHAPTER 7: PROPORTIONS AND PERCENTS. Date: Lesson: Chapter 7: Proportions and Percents Chapter 7: Proportions and Percents CHAPTER 7: PROPORTIONS AND PERCENTS Date: Lesson: Learning Log Title: Date: Lesson: Learning Log Title: Chapter 7: Proportions and Percents Date: Lesson: Learning Log

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

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

NAME: DIRECTIONS FOR THE ROUGH DRAFT OF THE BOX-AND WHISKER PLOT

NAME: DIRECTIONS FOR THE ROUGH DRAFT OF THE BOX-AND WHISKER PLOT NAME: DIRECTIONS FOR THE ROUGH DRAFT OF THE BOX-AND WHISKER PLOT 1.) Put the numbers in numerical order from the least to the greatest on the line segments. 2.) Find the median. Since the data set has

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

REVIEW OF 6 TH GRADE

REVIEW OF 6 TH GRADE Name: Period: Advanced Unit 1: REVIEW OF 6 TH GRADE CW-HW Packet Page 1 of 33 Fractions Wksht 1 Find the LCM of the numbers. 1) 3, 8 2) 5, 15 3) 7, 12 Find the GCF of the numbers. 4) 42, 86 5) 122, 76

More information

Summer Math Packet. Bridgewater-Raynham Regional School District. Grade 6 into 7

Summer Math Packet. Bridgewater-Raynham Regional School District. Grade 6 into 7 Summer Math Packet Bridgewater-Raynham Regional School District Grade 6 into 7 This packet is designed to help you retain the information you learned this year in 6 th grade. The packet is due Wednesday,

More information

Middle Years Data Analysis Display Methods

Middle Years Data Analysis Display Methods Middle Years Data Analysis Display Methods Double Bar Graph A double bar graph is an extension of a single bar graph. Any bar graph involves categories and counts of the number of people or things (frequency)

More information

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

Chapter 3 - Displaying and Summarizing Quantitative Data

Chapter 3 - Displaying and Summarizing Quantitative Data Chapter 3 - Displaying and Summarizing Quantitative Data 3.1 Graphs for Quantitative Data (LABEL GRAPHS) August 25, 2014 Histogram (p. 44) - Graph that uses bars to represent different frequencies or relative

More information

Name Date Types of Graphs and Creating Graphs Notes

Name Date Types of Graphs and Creating Graphs Notes Name Date Types of Graphs and Creating Graphs Notes Graphs are helpful visual representations of data. Different graphs display data in different ways. Some graphs show individual data, but many do not.

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

10.4 Measures of Central Tendency and Variation

10.4 Measures of Central Tendency and Variation 10.4 Measures of Central Tendency and Variation Mode-->The number that occurs most frequently; there can be more than one mode ; if each number appears equally often, then there is no mode at all. (mode

More information

10.4 Measures of Central Tendency and Variation

10.4 Measures of Central Tendency and Variation 10.4 Measures of Central Tendency and Variation Mode-->The number that occurs most frequently; there can be more than one mode ; if each number appears equally often, then there is no mode at all. (mode

More information

Grade 6 Math Vocabulary

Grade 6 Math Vocabulary Ratio, Rate, Unit Rate, Rate Unit Grade 6 Math Vocabulary Ratio, Rate, Unit Rate, Rate Unit Representing Equivalent Ratios Double Number Line 0 Ratio: An ordered pair of numbers which are not both zero.

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

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

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

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

The Normal Distribution

The Normal Distribution 14-4 OBJECTIVES Use the normal distribution curve. The Normal Distribution TESTING The class of 1996 was the first class to take the adjusted Scholastic Assessment Test. The test was adjusted so that the

More information

Homework Packet Week #3

Homework Packet Week #3 Lesson 8.1 Choose the term that best completes statements # 1-12. 10. A data distribution is if the peak of the data is in the middle of the graph. The left and right sides of the graph are nearly mirror

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

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

Data Distribution. Objectives. Vocabulary 4/10/2017. Name: Pd: Organize data in tables and graphs. Choose a table or graph to display data.

Data Distribution. Objectives. Vocabulary 4/10/2017. Name: Pd: Organize data in tables and graphs. Choose a table or graph to display data. Organizing Data Write the equivalent percent. Data Distribution Name: Pd: 1. 2. 3. Find each value. 4. 20% of 360 5. 75% of 360 6. Organize data in tables and graphs. Choose a table or graph to display

More information

Let s take a closer look at the standard deviation.

Let s take a closer look at the standard deviation. For this illustration, we have selected 2 random samples of 500 respondents each from the voter.xls file we have been using in class. We recorded the ages of each of the 500 respondents and computed the

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

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 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

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

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. 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

Descriptive Statistics: Box Plot

Descriptive Statistics: Box Plot Connexions module: m16296 1 Descriptive Statistics: Box Plot Susan Dean Barbara Illowsky, Ph.D. This work is produced by The Connexions Project and licensed under the Creative Commons Attribution License

More information

Understanding Statistical Questions

Understanding Statistical Questions Unit 6: Statistics Standards, Checklist and Concept Map Common Core Georgia Performance Standards (CCGPS): MCC6.SP.1: Recognize a statistical question as one that anticipates variability in the data related

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

MATH 112 Section 7.2: Measuring Distribution, Center, and Spread

MATH 112 Section 7.2: Measuring Distribution, Center, and Spread MATH 112 Section 7.2: Measuring Distribution, Center, and Spread Prof. Jonathan Duncan Walla Walla College Fall Quarter, 2006 Outline 1 Measures of Center The Arithmetic Mean The Geometric Mean The Median

More information

AP Statistics. Study Guide

AP Statistics. Study Guide Measuring Relative Standing Standardized Values and z-scores AP Statistics Percentiles Rank the data lowest to highest. Counting up from the lowest value to the select data point we discover the percentile

More information

Math 167 Pre-Statistics. Chapter 4 Summarizing Data Numerically Section 3 Boxplots

Math 167 Pre-Statistics. Chapter 4 Summarizing Data Numerically Section 3 Boxplots Math 167 Pre-Statistics Chapter 4 Summarizing Data Numerically Section 3 Boxplots Objectives 1. Find quartiles of some data. 2. Find the interquartile range of some data. 3. Construct a boxplot to describe

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 5. Normal. Normal Curve. the Normal. Curve Examples. Standard Units Standard Units Examples. for Data

Chapter 5. Normal. Normal Curve. the Normal. Curve Examples. Standard Units Standard Units Examples. for Data curve Approximation Part II Descriptive Statistics The Approximation Approximation The famous normal curve can often be used as an 'ideal' histogram, to which histograms for data can be compared. Its equation

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

Using a percent or a letter grade allows us a very easy way to analyze our performance. Not a big deal, just something we do regularly.

Using a percent or a letter grade allows us a very easy way to analyze our performance. Not a big deal, just something we do regularly. GRAPHING We have used statistics all our lives, what we intend to do now is formalize that knowledge. Statistics can best be defined as a collection and analysis of numerical information. Often times we

More information

1.3 Graphical Summaries of Data

1.3 Graphical Summaries of Data Arkansas Tech University MATH 3513: Applied Statistics I Dr. Marcel B. Finan 1.3 Graphical Summaries of Data In the previous section we discussed numerical summaries of either a sample or a data. In this

More information

Vocabulary. 5-number summary Rule. Area principle. Bar chart. Boxplot. Categorical data condition. Categorical variable.

Vocabulary. 5-number summary Rule. Area principle. Bar chart. Boxplot. Categorical data condition. Categorical variable. 5-number summary 68-95-99.7 Rule Area principle Bar chart Bimodal Boxplot Case Categorical data Categorical variable Center Changing center and spread Conditional distribution Context Contingency table

More information

2.1 Objectives. Math Chapter 2. Chapter 2. Variable. Categorical Variable EXPLORING DATA WITH GRAPHS AND NUMERICAL SUMMARIES

2.1 Objectives. Math Chapter 2. Chapter 2. Variable. Categorical Variable EXPLORING DATA WITH GRAPHS AND NUMERICAL SUMMARIES EXPLORING DATA WITH GRAPHS AND NUMERICAL SUMMARIES Chapter 2 2.1 Objectives 2.1 What Are the Types of Data? www.managementscientist.org 1. Know the definitions of a. Variable b. Categorical versus quantitative

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

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

AND NUMERICAL SUMMARIES. Chapter 2

AND NUMERICAL SUMMARIES. Chapter 2 EXPLORING DATA WITH GRAPHS AND NUMERICAL SUMMARIES Chapter 2 2.1 What Are the Types of Data? 2.1 Objectives www.managementscientist.org 1. Know the definitions of a. Variable b. Categorical versus quantitative

More information

The main issue is that the mean and standard deviations are not accurate and should not be used in the analysis. Then what statistics should we use?

The main issue is that the mean and standard deviations are not accurate and should not be used in the analysis. Then what statistics should we use? Chapter 4 Analyzing Skewed Quantitative Data Introduction: In chapter 3, we focused on analyzing bell shaped (normal) data, but many data sets are not bell shaped. How do we analyze quantitative data when

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

Measures of Central Tendency:

Measures of Central Tendency: Measures of Central Tendency: One value will be used to characterize or summarize an entire data set. In the case of numerical data, it s thought to represent the center or middle of the values. Some data

More information

3.3 The Five-Number Summary Boxplots

3.3 The Five-Number Summary Boxplots 3.3 The Five-Number Summary Boxplots Tom Lewis Fall Term 2009 Tom Lewis () 3.3 The Five-Number Summary Boxplots Fall Term 2009 1 / 9 Outline 1 Quartiles 2 Terminology Tom Lewis () 3.3 The Five-Number Summary

More information

6th Grade Vocabulary Mathematics Unit 2

6th Grade Vocabulary Mathematics Unit 2 6 th GRADE UNIT 2 6th Grade Vocabulary Mathematics Unit 2 VOCABULARY area triangle right triangle equilateral triangle isosceles triangle scalene triangle quadrilaterals polygons irregular polygons rectangles

More information

1.2. Pictorial and Tabular Methods in Descriptive Statistics

1.2. Pictorial and Tabular Methods in Descriptive Statistics 1.2. Pictorial and Tabular Methods in Descriptive Statistics Section Objectives. 1. Stem-and-Leaf displays. 2. Dotplots. 3. Histogram. Types of histogram shapes. Common notation. Sample size n : the number

More information

Fractions. 7th Grade Math. Review of 6th Grade. Slide 1 / 306 Slide 2 / 306. Slide 4 / 306. Slide 3 / 306. Slide 5 / 306.

Fractions. 7th Grade Math. Review of 6th Grade. Slide 1 / 306 Slide 2 / 306. Slide 4 / 306. Slide 3 / 306. Slide 5 / 306. Slide 1 / 06 Slide 2 / 06 7th Grade Math Review of 6th Grade 2015-01-14 www.njctl.org Slide / 06 Table of Contents Click on the topic to go to that section Slide 4 / 06 Fractions Decimal Computation Statistics

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

Unit I Supplement OpenIntro Statistics 3rd ed., Ch. 1

Unit I Supplement OpenIntro Statistics 3rd ed., Ch. 1 Unit I Supplement OpenIntro Statistics 3rd ed., Ch. 1 KEY SKILLS: Organize a data set into a frequency distribution. Construct a histogram to summarize a data set. Compute the percentile for a particular

More information

Section 3.2 Comparing and Ordering Fractions and Decimals. 1. Model fractions and/or decimals using blocks, fraction pieces, pattern blocks, etc.

Section 3.2 Comparing and Ordering Fractions and Decimals. 1. Model fractions and/or decimals using blocks, fraction pieces, pattern blocks, etc. Section 3.2 Comparing and Ordering Fractions and Decimals We will use several methods to compare and order fractions: 1. Model fractions and/or decimals using blocks, fraction pieces, pattern blocks, etc.

More information

Unit 1. Word Definition Picture. The number s distance from 0 on the number line. The symbol that means a number is greater than the second number.

Unit 1. Word Definition Picture. The number s distance from 0 on the number line. The symbol that means a number is greater than the second number. Unit 1 Word Definition Picture Absolute Value The number s distance from 0 on the number line. -3 =3 Greater Than The symbol that means a number is greater than the second number. > Greatest to Least To

More information

How to Create a Box Plot in Excel

How to Create a Box Plot in Excel How to Create a Box Plot in Excel Prerequisite knowledge: Box Plot also called a box-and-whisker plot provides a horizontal or vertical graphical representation of a distribution of data where the end

More information

Unit: Rational Number Lesson 3.1: What is a Rational Number? Objectives: Students will compare and order rational numbers.

Unit: Rational Number Lesson 3.1: What is a Rational Number? Objectives: Students will compare and order rational numbers. Unit: Rational Number Lesson 3.: What is a Rational Number? Objectives: Students will compare and order rational numbers. (9N3) Procedure: This unit will introduce the concept of rational numbers. This

More information

Today s Topics. Percentile ranks and percentiles. Standardized scores. Using standardized scores to estimate percentiles

Today s Topics. Percentile ranks and percentiles. Standardized scores. Using standardized scores to estimate percentiles Today s Topics Percentile ranks and percentiles Standardized scores Using standardized scores to estimate percentiles Using µ and σ x to learn about percentiles Percentiles, standardized scores, and the

More information

Ex.1 constructing tables. a) find the joint relative frequency of males who have a bachelors degree.

Ex.1 constructing tables. a) find the joint relative frequency of males who have a bachelors degree. Two-way Frequency Tables two way frequency table- a table that divides responses into categories. Joint relative frequency- the number of times a specific response is given divided by the sample. Marginal

More information

More Numerical and Graphical Summaries using Percentiles. David Gerard

More Numerical and Graphical Summaries using Percentiles. David Gerard More Numerical and Graphical Summaries using Percentiles David Gerard 2017-09-18 1 Learning Objectives Percentiles Five Number Summary Boxplots to compare distributions. Sections 1.6.5 and 1.6.6 in DBC.

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: 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

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

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

+ 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

6 th Grade I Can Statements (Aligned to Common Core Math Standards)

6 th Grade I Can Statements (Aligned to Common Core Math Standards) 6 th Grade I Can Statements (Aligned to Common Core Math Standards) Name: 6 - Number System Domain I can compute and solve word problems involving division of fractions. (NS.1) I can fluently divide multi-digit

More information

For Students Entering Investigations into Mathematics (IM)

For Students Entering Investigations into Mathematics (IM) E. Brooke Lee Middle School Summer Math For Students Entering Investigations into Mathematics (IM) 0 Summer 0 One goal of the Down County cluster of schools is to promote increased math performance at

More information

Box Plots. OpenStax College

Box Plots. OpenStax College Connexions module: m46920 1 Box Plots OpenStax College This work is produced by The Connexions Project and licensed under the Creative Commons Attribution License 3.0 Box plots (also called box-and-whisker

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

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

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

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

Common Core Vocabulary and Representations

Common Core Vocabulary and Representations Vocabulary Description Representation 2-Column Table A two-column table shows the relationship between two values. 5 Group Columns 5 group columns represent 5 more or 5 less. a ten represented as a 5-group

More information

End of Year Test B. Whole Numbers, Decimals, and Integers. Fractions. Name Date END OF YEAR TEST B. Answers. 5x 2 3y 3x 2y 5 8, 5 2 3, 1

End of Year Test B. Whole Numbers, Decimals, and Integers. Fractions. Name Date END OF YEAR TEST B. Answers. 5x 2 3y 3x 2y 5 8, 5 2 3, 1 Whole Numbers Decimals and Integers 1. Which list orders the integers from greatest to least? A. 15 8 1 0 B. 0 1 5 C. 18 12 7 D. 10 5 0 5 2. The coldest U.S. temperature on record occurred at Prospect

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

/ / / 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

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

The first few questions on this worksheet will deal with measures of central tendency. These data types tell us where the center of the data set lies.

The first few questions on this worksheet will deal with measures of central tendency. These data types tell us where the center of the data set lies. Instructions: You are given the following data below these instructions. Your client (Courtney) wants you to statistically analyze the data to help her reach conclusions about how well she is teaching.

More information

Vocabulary: Data Distributions

Vocabulary: Data Distributions Vocabulary: Data Distributions Concept Two Types of Data. I. Categorical data: is data that has been collected and recorded about some non-numerical attribute. For example: color is an attribute or variable

More information

Date Lesson TOPIC HOMEWORK. Displaying Data WS 6.1. Measures of Central Tendency WS 6.2. Common Distributions WS 6.6. Outliers WS 6.

Date Lesson TOPIC HOMEWORK. Displaying Data WS 6.1. Measures of Central Tendency WS 6.2. Common Distributions WS 6.6. Outliers WS 6. UNIT 6 ONE VARIABLE STATISTICS Date Lesson TOPIC HOMEWORK 6.1 3.3 6.2 3.4 Displaying Data WS 6.1 Measures of Central Tendency WS 6.2 6.3 6.4 3.5 6.5 3.5 Grouped Data Central Tendency Measures of Spread

More information

2 + (-2) = 0. Hinojosa 7 th. Math Vocabulary Words. Unit 1. Word Definition Picture. The opposite of a number. Additive Inverse

2 + (-2) = 0. Hinojosa 7 th. Math Vocabulary Words. Unit 1. Word Definition Picture. The opposite of a number. Additive Inverse Unit 1 Word Definition Picture Additive Inverse The opposite of a number 2 + (-2) = 0 Equal Amount The same in quantity = Fraction A number in the form a/b, where b 0. Half One of two equal parts of a

More information

Unit 3.2: Fractions, Decimals and Percent Lesson: Comparing and Ordering Fractions and Decimals

Unit 3.2: Fractions, Decimals and Percent Lesson: Comparing and Ordering Fractions and Decimals Unit 3.2: Fractions, Decimals and Percent Lesson: Comparing and Ordering Fractions and Decimals Objectives: Students will use benchmarks, place value and equivalent fractions to compare and order fractions

More information

Graphics Calculator Skill Drill Sheet 1 SOLUTIONS

Graphics Calculator Skill Drill Sheet 1 SOLUTIONS Graphics Calculator Skill Drill Sheet 1 SOLUTIONS 1) What is 3 hrs 58 min later than 4:17pm? 20:15 (8:15pm) 2) Convert 24 degrees, 45 minutes and 17 seconds to degrees to 2 decimal places 24.75 3) Calculate

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

Chapter 2 Exploring Data with Graphs and Numerical Summaries

Chapter 2 Exploring Data with Graphs and Numerical Summaries Chapter 2 Exploring Data with Graphs and Numerical Summaries Constructing a Histogram on the TI-83 Suppose we have a small class with the following scores on a quiz: 4.5, 5, 5, 6, 6, 7, 8, 8, 8, 8, 9,

More information

Statistics can best be defined as a collection and analysis of numerical information.

Statistics can best be defined as a collection and analysis of numerical information. Statistical Graphs There are many ways to organize data pictorially using statistical graphs. There are line graphs, stem and leaf plots, frequency tables, histograms, bar graphs, pictographs, circle graphs

More information