Guidelines for comparing boxplots
|
|
- Wilfrid Harrell
- 5 years ago
- Views:
Transcription
1 Comparing Data Sets Project IMP I Name When using boxplots to compare two or more batches of data, it is usually best to compare individual features in a methodical way. You may find the following guidelines helpful. Guidelines for comparing boxplots. Compare the respective medians, to compare location.. Compare the interquartile ranges (that is, the box lengths), to compare dispersion (how spread out the data is).. Look for signs of skewness (lopsided data). If the data do not appear to be symmetric, does each batch show the same kind of asymmetry?. Look for potential outliers. Outliers are defined as being more than. times the distance of the interquartile range away from the end of the box (Q or Q). After discussing these features, general conclusions should be summarized briefly. Boxplots of family sizes The table below contains data on the sizes (numbers of children) of the completed families of two samples of mothers in Ontario. One sample of mothers had had fewer years of education than the other sample (six years or less for mothers in the first sample, and seven years or more for those in the other sample). (Less Education) Mother educated for six years or less 9 (More Education) Mother educated for seven years or more 9 9 Compare the two samples of data using the systematic approach outlined above. What conclusions can you draw about an association between education and family size?....
2 Archery: On different days, two archers record the number of bull s-eyes they score out of tries.. Make a box and whisker plot for each archer. Archer : Archer : Number of Bull s-eyes Compare the two samples of data using the systematic approach outlined above..... Which archer would you say is more consistent? Why?
3 The box and whisker plots below show the ages of the players on the New York Yankees and the Texas Rangers baseball teams during the season. Compare the two samples of data. (Combine the steps described above to create a paragraph describing how the sets of data compare) Based on your comparison, which team would you say is the older team. Explain. What percent of the Yankee s players are less than years old? Explain. What percent of the Ranger s players are less than years old? Explain.
4 When using histograms to compare two or more batches of data, it is also best to compare individual features in a methodical way. You may find the following guidelines helpful. Guidelines for histograms. Compare the respective medians, to compare location.. Compare the ranges and interquartile ranges to compare dispersion (how spread out the data is).. Look for signs of skewness. If the data do not appear to be symmetric, does each batch show the same kind of asymmetry? Compare any GAPS or CLUSTERS of data that appear in the histograms.. Compare the modes (most frequently occurring outcome). After discussing these features, general conclusions should be summarized briefly. The histograms below show the total number of points scored in games by the - Girls Cheney Cardinal Basketball Team. One histogram displays data from the home games, the other displays data from the away games. Cheney Girls Basketball - Total Points Scored in Home Games Cheney Cardinals Girls Basketball - Total Points Scored in Away Games Compare the two samples of data using the systematic approach outlined above..... Summary:
5 The histograms below show number of gallons of gas customers purchased at a gas station in each of two weeks. Gasoline Purchases - Week Gasoline Purchases - Week Compare the two samples of data using the systematic approach outlined above..... Summary:
6 The histograms below show the number of hits made per season by two baseball teams. Number of Hits - Blue Team Number of Hits - Red Team Compare the two samples of data. (Combine the steps described above to create a paragraph describing how the sets of data compare) Based on your comparison, which team would you say is has better hitters. Explain.
A C E. Answers Investigation 4. Applications
Answers Applications 1. 1 student 2. You can use the histogram with 5-minute intervals to determine the number of students that spend at least 15 minutes traveling to school. To find the number of students,
More informationRevision Topic 13: Statistics 1
Revision Topic 13: Statistics 1 Averages There are three common types of average: the mean, median and mode. The mode (or modal value) is the data value (or values) that occurs the most often. The median
More informationSamples and Surveys pp
LESSON 4-1 Samples and Surveys pp. 174 175 Vocabulary population (p. 174) sample (p. 174) biased sample (p. 174) random sample (p. 175) systematic sample (p. 175) stratified sample (p. 175) Additional
More informationDEPARTMENT OF QUANTITATIVE METHODS & INFORMATION SYSTEMS QM 120. Spring 2008
DEPARTMENT OF QUANTITATIVE METHODS & INFORMATION SYSTEMS Introduction to Business Statistics QM 120 Chapter 3 Spring 2008 Measures of central tendency for ungrouped data 2 Graphs are very helpful to describe
More informationVocabulary: Samples and Populations
Vocabulary: Samples and Populations Concept Different types of data Categorical data results when the question asked in a survey or sample can be answered with a nonnumerical answer. For example if we
More informationMultiple Choice Circle the letter corresponding to the best answer for each of the problems below (4 pts each)
Math 221 Hypothetical Exam 1, Wi2008, (Chapter 1-5 in Moore, 4th) April 3, 2063 S. K. Hyde, S. Barton, P. Hurst, K. Yan Name: Show all your work to receive credit. All answers must be justified to get
More informationTopic 5: Statistics 5.3 Cumulative Frequency Paper 1
Topic 5: Statistics 5.3 Cumulative Frequency Paper 1 1. The following is a cumulative frequency diagram for the time t, in minutes, taken by students to complete a task. Standard Level Write down the median.
More informationCHAPTER 5: EXPLORING DATA DISTRIBUTIONS. Individuals are the objects described by a set of data. These individuals may be people, animals or things.
(c) Epstein 2013 Chapter 5: Exploring Data Distributions Page 1 CHAPTER 5: EXPLORING DATA DISTRIBUTIONS 5.1 Creating Histograms Individuals are the objects described by a set of data. These individuals
More information1.3.1 Measuring Center: The Mean
1.3.1 Measuring Center: The Mean Mean - The arithmetic average. To find the mean (pronounced x bar) of a set of observations, add their values and divide by the number of observations. If the n observations
More information( )( ) of wins. This means that the team won 74 games.
AP Statistics Ch. 2 Notes Describing Location in a Distribution Often, we are interested in describing where one observation falls in a distribution in relation to the other observations. The pth percentile
More informationLecture 6: Chapter 4, Section 2 Quantitative Variables (Displays, Begin Summaries)
Lecture 6: Chapter 4, Section 2 Quantitative Variables (Displays, Begin Summaries) Summarize with Shape, Center, Spread Displays: Stemplots, Histograms Five Number Summary, Outliers, Boxplots Cengage Learning
More informationDescribing distributions with numbers
Describing distributions with numbers A large number or numerical methods are available for describing quantitative data sets. Most of these methods measure one of two data characteristics: The central
More informationChapter 1. Looking at Data
Chapter 1 Looking at Data Types of variables Looking at Data Be sure that each variable really does measure what you want it to. A poor choice of variables can lead to misleading conclusions!! For example,
More informationMean, Median, Mode, and Range
Mean, Median, Mode, and Range Mean, median, and mode are measures of central tendency; they measure the center of data. Range is a measure of dispersion; it measures the spread of data. The mean of a data
More informationare the objects described by a set of data. They may be people, animals or things.
( c ) E p s t e i n, C a r t e r a n d B o l l i n g e r 2016 C h a p t e r 5 : E x p l o r i n g D a t a : D i s t r i b u t i o n s P a g e 1 CHAPTER 5: EXPLORING DATA DISTRIBUTIONS 5.1 Creating Histograms
More informationDescribing Distributions with Numbers
Describing Distributions with Numbers Using graphs, we could determine the center, spread, and shape of the distribution of a quantitative variable. We can also use numbers (called summary statistics)
More informationShape, Outliers, Center, Spread Frequency and Relative Histograms Related to other types of graphical displays
Histograms: Shape, Outliers, Center, Spread Frequency and Relative Histograms Related to other types of graphical displays Sep 9 1:13 PM Shape: Skewed left Bell shaped Symmetric Bi modal Symmetric Skewed
More informationWhat is Statistics? Statistics is the science of understanding data and of making decisions in the face of variability and uncertainty.
What is Statistics? Statistics is the science of understanding data and of making decisions in the face of variability and uncertainty. Statistics is a field of study concerned with the data collection,
More informationChapters 1 & 2 Exam Review
Problems 1-3 refer to the following five boxplots. 1.) To which of the above boxplots does the following histogram correspond? (A) A (B) B (C) C (D) D (E) E 2.) To which of the above boxplots does the
More informationGRAPHS AND STATISTICS Central Tendency and Dispersion Common Core Standards
B Graphs and Statistics, Lesson 2, Central Tendency and Dispersion (r. 2018) GRAPHS AND STATISTICS Central Tendency and Dispersion Common Core Standards Next Generation Standards S-ID.A.2 Use statistics
More informationFurther Mathematics 2018 CORE: Data analysis Chapter 2 Summarising numerical data
Chapter 2: Summarising numerical data Further Mathematics 2018 CORE: Data analysis Chapter 2 Summarising numerical data Extract from Study Design Key knowledge Types of data: categorical (nominal and ordinal)
More informationQUANTITATIVE DATA. UNIVARIATE DATA data for one variable
QUANTITATIVE DATA Recall that quantitative (numeric) data values are numbers where data take numerical values for which it is sensible to find averages, such as height, hourly pay, and pulse rates. UNIVARIATE
More informationDescribing distributions with numbers
Describing distributions with numbers A large number or numerical methods are available for describing quantitative data sets. Most of these methods measure one of two data characteristics: The central
More informationMath 082 Final Examination Review
Math 08 Final Examination Review 1) Write the equation of the line that passes through the points (4, 6) and (0, 3). Write your answer in slope-intercept form. ) Write the equation of the line that passes
More informationCourse 1 Benchmark Test End of Year
Course 1 Benchmark Test End of Year 1. Which rule best describes the relationship shown in the function table below? Input A. subtract 2 Output 1 3 2 6 3 9 4 12 5 15 4. What is the least common multiple
More informationMEASURING THE SPREAD OF DATA: 6F
CONTINUING WITH DESCRIPTIVE STATS 6E,6F,6G,6H,6I MEASURING THE SPREAD OF DATA: 6F othink about this example: Suppose you are at a high school football game and you sample 40 people from the student section
More informationCoordinate Algebra Practice EOCT Answers Unit 4
Coordinate Algebra Practice EOCT Answers #1 This table shows the average low temperature, in ºF, recorded in Macon, GA, and Charlotte, NC, over a six-day period. Which conclusion can be drawn from the
More informationFrancine s bone density is 1.45 standard deviations below the mean hip bone density for 25-year-old women of 956 grams/cm 2.
Chapter 3 Solutions 3.1 3.2 3.3 87% of the girls her daughter s age weigh the same or less than she does and 67% of girls her daughter s age are her height or shorter. According to the Los Angeles Times,
More informationTopic 3: Introduction to Statistics. Algebra 1. Collecting Data. Table of Contents. Categorical or Quantitative? What is the Study of Statistics?!
Topic 3: Introduction to Statistics Collecting Data We collect data through observation, surveys and experiments. We can collect two different types of data: Categorical Quantitative Algebra 1 Table of
More informationAP Statistics Semester I Examination Section I Questions 1-30 Spend approximately 60 minutes on this part of the exam.
AP Statistics Semester I Examination Section I Questions 1-30 Spend approximately 60 minutes on this part of the exam. Name: Directions: The questions or incomplete statements below are each followed by
More informationSection 3. Measures of Variation
Section 3 Measures of Variation Range Range = (maximum value) (minimum value) It is very sensitive to extreme values; therefore not as useful as other measures of variation. Sample Standard Deviation The
More informationTHANKS AND HAVE A GREAT SUMMER!
6 th Grade to 7 th Grade Summer Math Packet For this Math packet please show as much work as you can. The concepts you are going to be working on are those of the Common Core Standards for 6 th Grade that
More informationChapter 6 Assessment. 3. Which points in the data set below are outliers? Multiple Choice. 1. The boxplot summarizes the test scores of a math class?
Chapter Assessment Multiple Choice 1. The boxplot summarizes the test scores of a math class? Test Scores 3. Which points in the data set below are outliers? 73, 73, 7, 75, 75, 75, 77, 77, 77, 77, 7, 7,
More informationDescriptive Statistics and Probability Test Review Test on May 4/5
Descriptive Statistics and Probability Test Review Test on May 4/5 1. The following frequency distribution of marks has mean 4.5. Mark 1 2 3 4 5 6 7 Frequency 2 4 6 9 x 9 4 Find the value of x. Write down
More information1.3: Describing Quantitative Data with Numbers
1.3: Describing Quantitative Data with Numbers Section 1.3 Describing Quantitative Data with Numbers After this section, you should be able to MEASURE center with the mean and median MEASURE spread with
More informationUnit 2. Describing Data: Numerical
Unit 2 Describing Data: Numerical Describing Data Numerically Describing Data Numerically Central Tendency Arithmetic Mean Median Mode Variation Range Interquartile Range Variance Standard Deviation Coefficient
More informationLecture 3B: Chapter 4, Section 2 Quantitative Variables (Displays, Begin Summaries)
Lecture 3B: Chapter 4, Section 2 Quantitative Variables (Displays, Begin Summaries) Summarize with Shape, Center, Spread Displays: Stemplots, Histograms Five Number Summary, Outliers, Boxplots Mean vs.
More informationIntroduction to Statistics
Introduction to Statistics Data and Statistics Data consists of information coming from observations, counts, measurements, or responses. Statistics is the science of collecting, organizing, analyzing,
More informationA TAAP Arkansas Comprehensive Testing, Assessment, and Accountability Program
A TAAP Arkansas Comprehensive Testing, Assessment, and Accountability Program Released Item Booklet Algebra I End-of-Course Examination April 2008 Administration This document is the property of the Arkansas
More information2011 Pearson Education, Inc
Statistics for Business and Economics Chapter 2 Methods for Describing Sets of Data Summary of Central Tendency Measures Measure Formula Description Mean x i / n Balance Point Median ( n +1) Middle Value
More informationSections 6.1 and 6.2: The Normal Distribution and its Applications
Sections 6.1 and 6.2: The Normal Distribution and its Applications Definition: A normal distribution is a continuous, symmetric, bell-shaped distribution of a variable. The equation for the normal distribution
More informationCHAPTER 2: Describing Distributions with Numbers
CHAPTER 2: Describing Distributions with Numbers The Basic Practice of Statistics 6 th Edition Moore / Notz / Fligner Lecture PowerPoint Slides Chapter 2 Concepts 2 Measuring Center: Mean and Median Measuring
More informationDESCRIPTIVE STATISTICS
1 3 DESCRIPTIVE STATISTICS. 3.1 Measures of Central Tendency Because the data values of most numerical variables show a tendency to group around a specific value, statisticians use a set of methods, collectively
More informationReview: Central Measures
Review: Central Measures Mean, Median and Mode When do we use mean or median? If there is (are) outliers, use Median If there is no outlier, use Mean. Example: For a data 1, 1.2, 1.5, 1.7, 1.8, 1.9, 2.3,
More informationResistant Measure - A statistic that is not affected very much by extreme observations.
Chapter 1.3 Lecture Notes & Examples Section 1.3 Describing Quantitative Data with Numbers (pp. 50-74) 1.3.1 Measuring Center: The Mean Mean - The arithmetic average. To find the mean (pronounced x bar)
More informationElementary Statistics
Elementary Statistics Q: What is data? Q: What does the data look like? Q: What conclusions can we draw from the data? Q: Where is the middle of the data? Q: Why is the spread of the data important? Q:
More informationMeasures of. U4 C 1.2 Dot plot and Histogram 2 January 15 16, 2015
U4 C 1. Dot plot and Histogram January 15 16, 015 U 4 : C 1.1 CCSS. 9 1.S ID.1 Dot Plots and Histograms Objective: We will be able to represent data with plots on the real number line, using: Dot Plots
More informationThe Keystones of Algebra 1
The Keystones of Algebra 1 The Top Ten Keystones of Algebra 1 You should be able to 1) Simplify a radical expression. 2) Solve an equation. 3) Solve and graph an inequality on a number line. 4) Manipulate
More informationdownload instant at
Chapter 2 Test B Multiple Choice Section 2.1 (Visualizing Variation in Numerical Data) 1. [Objective: Interpret visual displays of numerical data] For twenty days a record store owner counts the number
More informationChapter 1: Exploring Data
Chapter 1: Exploring Data Section 1.3 with Numbers The Practice of Statistics, 4 th edition - For AP* STARNES, YATES, MOORE Chapter 1 Exploring Data Introduction: Data Analysis: Making Sense of Data 1.1
More informationSlide 1. Slide 2. Slide 3. Pick a Brick. Daphne. 400 pts 200 pts 300 pts 500 pts 100 pts. 300 pts. 300 pts 400 pts 100 pts 400 pts.
Slide 1 Slide 2 Daphne Phillip Kathy Slide 3 Pick a Brick 100 pts 200 pts 500 pts 300 pts 400 pts 200 pts 300 pts 500 pts 100 pts 300 pts 400 pts 100 pts 400 pts 100 pts 200 pts 500 pts 100 pts 400 pts
More informationP8130: Biostatistical Methods I
P8130: Biostatistical Methods I Lecture 2: Descriptive Statistics Cody Chiuzan, PhD Department of Biostatistics Mailman School of Public Health (MSPH) Lecture 1: Recap Intro to Biostatistics Types of Data
More informationM 225 Test 1 B Name SHOW YOUR WORK FOR FULL CREDIT! Problem Max. Points Your Points Total 75
M 225 Test 1 B Name SHOW YOUR WORK FOR FULL CREDIT! Problem Max. Points Your Points 1-13 13 14 3 15 8 16 4 17 10 18 9 19 7 20 3 21 16 22 2 Total 75 1 Multiple choice questions (1 point each) 1. Look at
More informationObjective A: Mean, Median and Mode Three measures of central of tendency: the mean, the median, and the mode.
Chapter 3 Numerically Summarizing Data Chapter 3.1 Measures of Central Tendency Objective A: Mean, Median and Mode Three measures of central of tendency: the mean, the median, and the mode. A1. Mean The
More informationInvestigating data Which capital city in Australia has the highest average temperature? Does Melbourne have higher rainfall than Sydney?
5 Statistics and probability Investigating data Which capital city in Australia has the highest average temperature? Does Melbourne have higher rainfall than Sydney? To answer these questions, sets of
More informationChapter. Numerically Summarizing Data Pearson Prentice Hall. All rights reserved
Chapter 3 Numerically Summarizing Data Section 3.1 Measures of Central Tendency Objectives 1. Determine the arithmetic mean of a variable from raw data 2. Determine the median of a variable from raw data
More informationSESSION 5 Descriptive Statistics
SESSION 5 Descriptive Statistics Descriptive statistics are used to describe the basic features of the data in a study. They provide simple summaries about the sample and the measures. Together with simple
More informationName: JMJ April 10, 2017 Trigonometry A2 Trimester 2 Exam 8:40 AM 10:10 AM Mr. Casalinuovo
Name: JMJ April 10, 2017 Trigonometry A2 Trimester 2 Exam 8:40 AM 10:10 AM Mr. Casalinuovo Part 1: You MUST answer this problem. It is worth 20 points. 1) Temperature vs. Cricket Chirps: Crickets make
More informationSTP 420 INTRODUCTION TO APPLIED STATISTICS NOTES
INTRODUCTION TO APPLIED STATISTICS NOTES PART - DATA CHAPTER LOOKING AT DATA - DISTRIBUTIONS Individuals objects described by a set of data (people, animals, things) - all the data for one individual make
More informationChapter 5: Exploring Data: Distributions Lesson Plan
Lesson Plan Exploring Data Displaying Distributions: Histograms Interpreting Histograms Displaying Distributions: Stemplots Describing Center: Mean and Median Describing Variability: The Quartiles The
More informationCHAPTER 1 Univariate data
Chapter Answers Page 1 of 17 CHAPTER 1 Univariate data Exercise 1A Types of data 1 Numerical a, b, c, g, h Categorical d, e, f, i, j, k, l, m 2 Discrete c, g Continuous a, b, h 3 C 4 C Exercise 1B Stem
More informationbe an nth root of a, and let m be a positive integer. ( ) ( )
Chapter 7: Power, Roots, and Radicals Chapter 7.1: Nth Roots and Rational Exponents Evaluating nth Roots: Relating Indices and Powers Real nth Roots: Let be an integer greater than 1 and let be a real
More informationIB Questionbank Mathematical Studies 3rd edition. Grouped discrete. 184 min 183 marks
IB Questionbank Mathematical Studies 3rd edition Grouped discrete 184 min 183 marks 1. The weights in kg, of 80 adult males, were collected and are summarized in the box and whisker plot shown below. Write
More informationData: the pieces of information that have been observed and recorded, from an experiment or a survey
SESSION 13: STATISTICS KEY CONCEPTS: Collecting, organising and representing data Measures of central tendency Measures of dispersion X-PLANATION Data: the pieces of information that have been observed
More informationStatistics and parameters
Statistics and parameters Tables, histograms and other charts are used to summarize large amounts of data. Often, an even more extreme summary is desirable. Statistics and parameters are numbers that characterize
More informationFoundations of Math 1 Review
Foundations of Math 1 Review Due Wednesday 1/6/16. For each of the 23 questions you get COMPLETELY correct, you will receive a point on an extra assessment grade. **All regular credit must be completed
More informationChapter 2: Tools for Exploring Univariate Data
Stats 11 (Fall 2004) Lecture Note Introduction to Statistical Methods for Business and Economics Instructor: Hongquan Xu Chapter 2: Tools for Exploring Univariate Data Section 2.1: Introduction What is
More informationST Presenting & Summarising Data Descriptive Statistics. Frequency Distribution, Histogram & Bar Chart
ST2001 2. Presenting & Summarising Data Descriptive Statistics Frequency Distribution, Histogram & Bar Chart Summary of Previous Lecture u A study often involves taking a sample from a population that
More informationMath 7 /Unit 5 Practice Test: Statistics
Math 7 /Unit 5 Practice Test: Statistics Name: Date: Define the terms below and give an example. 1. population 2. random sample 3. interquartile range (IQR) 4. Determine whether each sample is a random
More informationDescribing Data: Two Variables
STAT 250 Dr. Kari Lock Morgan Describing Data: Two Variables SECTIONS 2.4, 2.5 One quantitative variable (2.4) One quantitative and one categorical (2.4) Two quantitative (2.5) z- score Which is better,
More informationCHAPTER 1. Introduction
CHAPTER 1 Introduction Engineers and scientists are constantly exposed to collections of facts, or data. The discipline of statistics provides methods for organizing and summarizing data, and for drawing
More informationUnit 2: Lesson 10 Measures of Spread Name:
Unit 2: Lesson 10 Measures of Spread Name: Part 1: Mean Absolute Deviation (nice, but not the measure of spread we ll use ) The heights, in inches, of the players on a basketball team are given below.
More informationAccelerated Math 7 Second Semester Final Practice Test
Accelerated Math 7 Second Semester Final Practice Test Name Period Date Part 1 Learning Target 5: I can solve problems applying scale factor to geometric figures or scale drawings. 1. What is the value
More informationSection 2.4. Measuring Spread. How Can We Describe the Spread of Quantitative Data? Review: Central Measures
mean median mode Review: entral Measures Mean, Median and Mode When do we use mean or median? If there is (are) outliers, use Median If there is no outlier, use Mean. Example: For a data 1, 1., 1.5, 1.7,
More informationWhich range of numbers includes the third quartile of coats collected for both classes? A. 4 to 14 B. 6 to 14 C. 8 to 15 D.
EOCT Review: Units 4 6 Unit 4: Describing Data 1) This table shows the average low temperature, in ºF, recorded in Macon, GA, and Charlotte, NC, over a six-day period. Day 1 3 4 5 6 Temperature, in F,
More informationa. Explain whether George s line of fit is reasonable.
1 Algebra I Chapter 11 Test Review Standards/Goals: A.REI.10.: I can identify patterns that describe linear functions. o I can distinguish between dependent and independent variables. F.IF.3.: I can recognize
More informationMAT Mathematics in Today's World
MAT 1000 Mathematics in Today's World Last Time 1. Three keys to summarize a collection of data: shape, center, spread. 2. Can measure spread with the fivenumber summary. 3. The five-number summary can
More information3 Lecture 3 Notes: Measures of Variation. The Boxplot. Definition of Probability
3 Lecture 3 Notes: Measures of Variation. The Boxplot. Definition of Probability 3.1 Week 1 Review Creativity is more than just being different. Anybody can plan weird; that s easy. What s hard is to be
More informationChapter # classifications of unlikely, likely, or very likely to describe possible buying of a product?
A. Attribute data B. Numerical data C. Quantitative data D. Sample data E. Qualitative data F. Statistic G. Parameter Chapter #1 Match the following descriptions with the best term or classification given
More informationPrentice Hall Stats: Modeling the World 2004 (Bock) Correlated to: National Advanced Placement (AP) Statistics Course Outline (Grades 9-12)
National Advanced Placement (AP) Statistics Course Outline (Grades 9-12) Following is an outline of the major topics covered by the AP Statistics Examination. The ordering here is intended to define the
More informationCentral Tendency & Graphs of Data Long-Term Memory Review Grade 7, Standard 5.0 Review 1
Review 1 1. The is the difference between the largest and smallest values in a set of numerical data. The is the middle value in a set of ordered data. 2. Bob took five tests in math class. His scores
More information(a) The density histogram above right represents a particular sample of n = 40 practice shots. Answer each of the following. Show all work.
. Target Practice. An archer is practicing hitting the bull s-eye of the target shown below left. For any point on the target, define the continuous random variable D = (signed) radial distance to the
More information2.1 Measures of Location (P.9-11)
MATH1015 Biostatistics Week.1 Measures of Location (P.9-11).1.1 Summation Notation Suppose that we observe n values from an experiment. This collection (or set) of n values is called a sample. Let x 1
More information1.) The number of points a basketball player scored each game for one week is recorded. Which is a not a statistical question for the situation?
6 th Grade Math Common Assessment: Chapter 6 Name: Date 6.SP.1 1.) The number of points a basketball player scored each game for one week is recorded. Which is a not a statistical question for the situation?
More informationIntroduction to Probability and Statistics Slides 1 Chapter 1
1 Introduction to Probability and Statistics Slides 1 Chapter 1 Prof. Ammar M. Sarhan, asarhan@mathstat.dal.ca Department of Mathematics and Statistics, Dalhousie University Fall Semester 2010 Course outline
More informationFor Integrated Math III Students,
For Integrated Math III Students, Congratulations on the completion of the course of Integrated Math II. In order to be prepared for the next course in August, it is important to work through the attached
More informationMapping Common Core State Standard Clusters and. Ohio Grade Level Indicator. Grade 7 Mathematics
Mapping Common Core State Clusters and Ohio s Grade Level Indicators: Grade 7 Mathematics Ratios and Proportional Relationships: Analyze proportional relationships and use them to solve realworld and mathematical
More informationArkansas Council of Teachers of Mathematics Algebra I Regional Exam Spring 2008
Arkansas Council of Teachers of Mathematics Algebra I Regional Exam Spring 008 Select the best answer for each of the following questions and mark it on the answer sheet provided. Be sure to read all the
More informationOCR Maths S1. Topic Questions from Papers. Representation of Data
OCR Maths S1 Topic Questions from Papers Representation of Data PhysicsAndMathsTutor.com 12 The back-to-back stem-and-leaf diagram below shows the number of hours of television watched per week by each
More informationUCS Algebra II Semester 1 REVIEW GUIDE 1 Name
US lgebra II Semester 1 REVIEW GUIE 1 Name 1 The box-and-whisker plot shows the weight distribution among 200 professional football players. Which of these is the EST estimate of the number of players
More informationChapter 4.notebook. August 30, 2017
Sep 1 7:53 AM Sep 1 8:21 AM Sep 1 8:21 AM 1 Sep 1 8:23 AM Sep 1 8:23 AM Sep 1 8:23 AM SOCS When describing a distribution, make sure to always tell about three things: shape, outliers, center, and spread
More informationSelected Answers for Core Connections Algebra
Selected Answers for Core Connections Algebra Lesson 11.1.1 11-4. a: 2x!1, shift up 2 units b: 4x! 3, twice as steep c: 2x +1, shift left 2 units d: 4x! 6, twice as steep, y-intercept shifts down 3 units,
More informationThe Normal Distribution. Chapter 6
+ The Normal Distribution Chapter 6 + Applications of the Normal Distribution Section 6-2 + The Standard Normal Distribution and Practical Applications! We can convert any variable that in normally distributed
More information1 Measures of the Center of a Distribution
1 Measures of the Center of a Distribution Qualitative descriptions of the shape of a distribution are important and useful. But we will often desire the precision of numerical summaries as well. Two aspects
More informationSections 2.3 and 2.4
1 / 24 Sections 2.3 and 2.4 Note made by: Dr. Timothy Hanson Instructor: Peijie Hou Department of Statistics, University of South Carolina Stat 205: Elementary Statistics for the Biological and Life Sciences
More informationChapter I, Introduction from Online Statistics Education: An Interactive Multimedia Course of Study comprises public domain material by David M.
Chapter I, Introduction from Online Statistics Education: An Interactive Multimedia Course of Study comprises public domain material by David M. Lane, project leader, Rice University. Distributions by
More informationMATH 117 Statistical Methods for Management I Chapter Three
Jubail University College MATH 117 Statistical Methods for Management I Chapter Three This chapter covers the following topics: I. Measures of Center Tendency. 1. Mean for Ungrouped Data (Raw Data) 2.
More informationSample. Test Booklet. Subject: MA, Grade: HS PSSA 2013 Keystone Algebra 1. - signup at to remove - Student name:
Test Booklet Subject: MA, Grade: HS PSSA 2013 Keystone Algebra 1 Student name: Author: Pennsylvania District: Pennsylvania Released Tests Printed: Friday May 31, 2013 1 Which of the following inequalities
More informationComplement: 0.4 x 0.8 = =.6
Homework The Normal Distribution Name: 1. Use the graph below 1 a) Why is the total area under this curve equal to 1? Rectangle; A = LW A = 1(1) = 1 b) What percent of the observations lie above 0.8? 1
More informationSection 3.2 Measures of Central Tendency
Section 3.2 Measures of Central Tendency 1 of 149 Section 3.2 Objectives Determine the mean, median, and mode of a population and of a sample Determine the weighted mean of a data set and the mean of a
More information