PRESENTING DATA ATM 16% Automated or live telephone 2% Drive-through service at branch 17% In person at branch 41% Internet 24% Banking Preference
|
|
- Kristopher Ferguson
- 6 years ago
- Views:
Transcription
1 Presenting data 1 2 PRESENTING DATA The information that is collected must be presented effectively for statistical inference. Categorical and numerical data can be presented efficiently using charts and tables. 2.1 Presenting Categorical Variables You present a categorical variable by first sorting variable values according to the categories of the variable. Then you place the count, amount, or percentage (part of the whole) of each category into a summary table or into one of several types of charts. The Summary Table A two-column table in which category names are listed in the first column and the count, amount, or percentage of values are listed in a second column. Such as the following bank preference summary table indicates that people prefer in person at branch in their duties. Banking Preference? Percent The Bar Chart ATM 16% Automated or live telephone 2% Drive-through service at branch 17% In person at branch 41% Internet 24% A chart containing rectangles ( bars ) in which the length of each bar represents the count, amount, or percentage of responses of one category. Banking Preference Internet In person at branch Drive-through service at branch Automated or live telephone ATM 0% 5% 10% 15% 20% 25% 30% 35% 40% 45%
2 % in each category (bar graph) Cumulative % (line graph) Presenting data 2 The Pie Chart The pie chart is a circle broken up into slices that represent categories. The size of each slice of the pie varies according to the percentage in each category. The entire circle ( pie ) represents the total. Banking Preference 24% 16% 2% 17% ATM Automated or live telephone Drive-through service at branch In person at branch 41% Internet The Pareto Chart A special type of bar chart that presents the counts, amounts, or percentages of each category in descending order left to right, and also contains a superimposed plotted line that represents a running cumulative percentage. Pareto Chart For Banking Preference 100% 80% 60% 40% 20% 100% 80% 60% 40% 20% 0% In person at branch Internet Drivethrough service at branch ATM Automated or live telephone 0% When you have many categories, a Pareto chart enables you to focus on the most important categories by visually separating the vital few from the trivial many categories. For the banking preference data, the Pareto chart shows that two categories, person at branch and internet, account for more than one-half of all preferences.
3 Two-Way Cross-Classification Table Presenting data 3 A multicolumn table that presents the count or percentage of responses for two categorical variables. In a twoway table, the categories of one of the variables form the rows of the table, while the categories of the second variable form the columns. The outside of the table contains a special row and a special column that contain the totals. Cross-classification tables are also known as cross-tabulation tables. Counts of Particles Found Cross-Classified by Wafer Condition Row Percentages Table Wafer Condition Wafer Condition f o Good Bad Total f o Good Bad Total Particles Present Yes No Particles Present Yes No Total Total ColumnPercentages Table f o Particles Present Wafer Condition Good Bad Total Yes No Total Overall Percentages Table Wafer Condition f o Particles Present Good Bad Total Yes No Total
4 Age of Surveyed College Students Age of Surveyed College Students Presenting data Tables and Charts for Numerical Data To obtain a table, you first establish groups that represent separate ranges of values and then place each value into the appropriate group. To obtain a chart, you use the groups from the table. Ordered Array An ordered array is a sequence of data, in rank order, from the smallest value to the largest value. Shows range from minimum value to maximum value. Day Students Night Students Stem-and-Leaf Display A simple way to see how the data are distributed and where concentrations of data exist The method is, separating the sorted data series into leading digits (the stems) and the trailing digits (the leaves). Day Students Night Students
5 Presenting data 5 The Frequency and Percentage Distribution A table of grouped numerical data that contains the names of each group in the first column, the counts (frequencies) of each group in the second column, and the percentages of each group in the third column. This table can also appear as a two-column table that shows either the frequencies or the percentages. EXAMPLE The following Fan Cost Index data shown provides the cost in a recent year of attending an NBA professional basketball league game, including four tickets, two beers, four soft drinks, four hot dogs, two game programs, two caps, and the parking fee for one car for each of the 29 teams. Team Fan Cost Index Team Fan Cost Index Atlanta Minnesota Boston New Jersey Charlotte New Orleans Chicago New York Cleveland Orlando Dallas Philadelphia Denver Phoenix Detroit Portland Golden State Sacramento Houston San Antonio Indiana Seattle LA Clippers Toronto LA Lakers Utah Memphis Washington The frequency and percentage distribution for the NBA Fan Cost Index is as follows: Fan Cost Index ($) Frequency Percentage 150 to under % 200 to under % 250 to under % 300 to under % 350 to under % 400 to under % 450 to under % % Frequency and percentage distributions enable you to quickly determine differences among the many groups of values. In this example, you can quickly see that most of the fan cost indexes are between $200 and $350, and that very few fan cost indexes are either below $200 or above $350. Example: A manufacturer of insulation randomly selects 20 winter days and records the daily high temperature 24, 35, 17, 21, 24, 37, 26, 46, 58, 30, 32, 13, 12, 38, 41, 43, 44, 27, 53, 27 Solution: Sort raw data in ascending order: 12, 13, 17, 21, 24, 24, 26, 27, 27, 30, 32, 35, 37, 38, 41, 43, 44, 46, 53, 58 Find range: = 46 Select number of classes: 5 (usually between 5 and 15) Compute class interval (width): 10 (46/5 then round up)
6 Determine class boundaries (limits): Class 1: 10 to less than 20 Class 2: 20 to less than 30 Class 3: 30 to less than 40 Class 4: 40 to less than 50 Class 5: 50 to less than 60 Compute class midpoints: 15, 25, 35, 45, 55 Count observations & assign to classes Class Frequency Relative Frequency Percentage Cumulative Frequency Presenting data 6 Cumulative Percentage 10 but less than but less than but less than but less than but less than Total Histogram A bar chart in which the frequencies or percentages in each group of numerical data are represented as individual bars on the vertical Y axis and the variable is plotted on the horizontal X axis. In a histogram, in contrast to a bar chart of categorical data, no gaps exist between adjacent bars. EXAMPLE The following histogram presents the fan cost index data of the preceding example. The values below the bars (175, 225, 275, 325, 375, 425, 475) are midpoints, the approximate middle value for each group of data. As with the frequency and percentage distributions, you can quickly see that very few fan cost indexes are either below $200 or above $350.
7 Presenting data 7 The Time-Series Plot A chart in which each point represents the value of a numerical variable at a specific time. By convention, the X axis (the horizontal axis) always represents units of time, and the Y axis (the vertical axis) always represents units of the variable. Time-series plots can reveal patterns over time, patterns that you might not see when looking at a long list of numerical values. EXAMPLE The following data shows the mean hotel room rate in dollars for 1996 through 2006: Year Rate($) Year Rate($) In this example, the plot reveals that mean hotel rates were generally rising between 1996 and 2006, but declined in the years immediately after 2001.
8 Presenting data 8 The Scatter Plot A chart that plots the values of two numerical variables for each observation. In a scatter plot, the X axis (the horizontal axis) always represents units of one variable, and the Y axis (the vertical axis) always represents units of the second variable. Job Labor hours Cubic feet Job Labor hours Cubic feet M M M M ,028 M M M M M M M M M M M M M-9 M-10 M-11 M-12 M-13 M-14 M-15 M-16 M-17 M-18
Why Learn Statistics?
Why Learn Statistics? So you are able to make better sense of the ubiquitous use of numbers: Business memos Business research Technical reports Technical journals Newspaper articles Magazine articles Basic
More informationQuantitative Methods. Presenting Data in Tables and Charts. Basic Business Statistics, 10e 2006 Prentice-Hall, Inc. Chap 2-1
Quantitative Methods Presenting Data in Tables and Charts Basic Business Statistics, 10e 2006 Prentice-Hall, Inc. Chap 2-1 Learning Objectives In this chapter you learn: To develop tables and charts for
More informationBusiness Statistics: A Decision-Making Approach 7 th Edition
Business Statistics: A Decision-Making Approach 7 th Edition Chapter 2 Graphs, Charts, and Tables Describing Your Data Business Statistics: A Decision-Making Approach, 7e 2008 Prentice-Hall, Inc. Chap
More informationAn ordered array is an arrangement of data in either ascending or descending order.
2.1 Ordered Array An ordered array is an arrangement of data in either ascending or descending order. Example 1 People across Hong Kong participate in various walks to raise funds for charity. Recently,
More informationFundamental Elements of Statistics
Fundamental Elements of Statistics Slide Statistics the science of data Collection Evaluation (classification, summary, organization and analysis) Interpretation Slide Population Sample Sample: A subset
More information!"#$%&'() !(4#)3%*,0*=>&83*. !"#$%&'()*+*,-./0*,-.,0*,--1*234%5"6*789:4)&"60*;6:<
!"#$%&'()?%'46&@&6'*468* A&594>&@&6'*A4%&4B>35!(4#)3%*,0*=>&83*. Contents 2.1 Organizing Categorical Variables. 2.2 Organizing Numerical Variables Classes and Excel Bins Stacked and Unstacked Data 2.3
More informationCHAPTER 2: ORGANIZING AND VISUALIZING VARIABLES
Organizing and Visualizing Variables 2-1 CHAPTER 2: ORGANIZING AND VISUALIZING VARIABLES SCENARIO 2-1 An insurance company evaluates many numerical variables about a person before deciding on an appropriate
More informationCHAPTER 2: ORGANIZING AND VISUALIZING VARIABLES
Statistics for Managers Using Microsoft Excel 8th Edition Levine Solutions Manual Full Download: http://testbanklive.com/download/statistics-for-managers-using-microsoft-excel-8th-edition-levine-solutions-manu
More informationSTAT 206: Chapter 2 (Organizing and Visualizing Variables)
STAT 206: Chapter 2 (Organizing and Visualizing Variables) Methods to Organize and Visualize Variables For Categorical Variables: Summary Table; contingency table (2.1) Bar chart, pie chart, Pareto chart,
More informationChapter 2 Ch2.1 Organizing Qualitative Data
Chapter 2 Ch2.1 Organizing Qualitative Data Example 1 : Identity Theft Identity fraud occurs someone else s personal information is used to open credit card accounts, apply for a job, receive benefits,
More informationCHAPTER 2: ORGANIZING AND VISUALIZING VARIABLES
2-1 Organizing and Visualizing Variables Organizing and Visualizing Variables 2-1 Statistics for Managers Using Microsoft Excel 8th Edition Levine SOLUTIONS MANUAL Full download at: https://testbankreal.com/download/statistics-for-managers-using-microsoftexcel-8th-edition-levine-solutions-manual/
More informationMAT 1272 STATISTICS LESSON Organizing and Graphing Qualitative Data
MAT 1272 STATISTICS LESSON 2 2.1 Organizing and Graphing Qualitative Data 2.1.1 Raw Data Raw Data Data recorded in the sequence in which they are collected and before they are processed or ranked are called
More informationOrdered Array (nib) Frequency Distribution. Chapter 2 Descriptive Statistics: Tabular and Graphical Methods
Chapter Descriptive Statistics: Tabular and Graphical Methods Ordered Array (nib) Organizes a data set by sorting it in either ascending or descending order Advantages & Disadvantages Useful in preparing
More informationDisplaying Bivariate Numerical Data
Price ($ 000's) OPIM 303, Managerial Statistics H Guy Williams, 2006 Displaying Bivariate Numerical Data 250.000 Price / Square Footage 200.000 150.000 100.000 50.000 - - 500 1,000 1,500 2,000 2,500 3,000
More informationSTA Rev. F Learning Objectives. Learning Objectives (Cont.) Module 2 Organizing Data
STA 2023 Module 2 Organizing Data Rev.F08 1 Learning Objectives Upon completing this module, you should be able to: 1. Classify variables and data as either qualitative or quantitative. 2. Distinguish
More informationSTA Module 2A Organizing Data and Comparing Distributions (Part I)
STA 2023 Module 2A Organizing Data and Comparing Distributions (Part I) 1 Learning Objectives Upon completing this module, you should be able to: 1. Classify variables and data as either qualitative or
More informationExhibition & Events Industry Labor Rates Survey
Exhibition & Events Industry Labor Rates Survey Event Labor and Material Handling Cost Averages in Over 40 North American Cities Special Report Produced by Table of Contents Introduction & Methodology...3
More informationAre We Still Stuck in the Middle?: An Updated Analysis of Wages in Metro Atlanta For more information:
Are We Still Stuck in the Middle?: An Updated Analysis of Wages in Metro Atlanta For more information: mcarnathan@atlantaregional.com In Sum Nationally, metro Atlanta has fairly high wages, especially
More informationChapter 2. Describing Data (Descriptive Statistics)
Chapter 2. Describing Data (Descriptive Statistics) Jie Zhang Accounting and Information Systems Department College of Business Administration The University of Texas at El Paso jzhang6@utep.edu Jie Zhang,
More informationBUSS1020 Quantitative Business Analysis
BUSS1020 Quantitative Business Analysis Week 1 - Introduction and Collecting Data Process of statistical analysis 1. Define the objective, and understand the data we need to collect. 2. Collect the required
More informationCHAPTER 2: Descriptive Statistics: Tabular and Graphical Methods Essentials of Business Statistics, 4th Edition Page 1 of 127
2 CHAPTER 2: Descriptive Statistics: Tabular and Graphical Methods 34 Essentials of Business Statistics, 4th Edition Page 1 of 127 2.1 Learning Objectives When you have mastered the material in this chapter,
More informationIntroduction to Statistics
Introduction to Statistics Sherif Khalifa Sherif Khalifa () Introduction to Statistics 1 / 36 Every day businesses make decisions that determine whether companies will be profitable and flourish or whether
More informationGeneral Counsel Report
General Counsel Report Facts & Analysis In Partnership with 2017 Consero Group. Reproduction Prohibited. January 2017 Introduction General Counsel Report Today s General Counsel is responsible for overseeing
More informationLecture 10. Outline. 1-1 Introduction. 1-1 Introduction. 1-1 Introduction. Introduction to Statistics
Outline Lecture 10 Introduction to 1-1 Introduction 1-2 Descriptive and Inferential 1-3 Variables and Types of Data 1-4 Sampling Techniques 1- Observational and Experimental Studies 1-6 Computers and Calculators
More informationpoints in a line over time.
Chart types Published: 2018-07-07 Dashboard charts in the ExtraHop system offer multiple ways to visualize metric data, which can help you answer questions about your network behavior. You select a chart
More informationADVANCING AFFORDABILITY :
ADVANCING AFFORDABILITY : Equity and Health through Energy-Efficient Housing Khalil Shahyd Project Manager Urban Solutions Program Natural Resources Defense Council NASEO Annual Meeting 19 September 2017
More informationPARETO CHART. We have what it takes! Continuous quality improvement - our tool for delivering... service of greater worth.
TMC Quality Improvement Program Self-Instructional Modules We have what it takes! THE PDCA CYCLE SERIES Continuous quality improvement - our tool for delivering... service of greater worth. PARETO CHART
More informationExam 1 - Practice Exam (Chapter 1,2,3)
Exam 1 - Practice Exam (Chapter 1,2,3) (Test Bank Odds Ch 1-3) TRUE/FALSE. Write 'T' if the statement is true and 'F' if the statement is false. 1) Statistics is a discipline that involves tools and techniques
More informationEcon 3790: Business and Economics Statistics. Instructor: Yogesh Uppal
Econ 3790: Business and Economics Statistics Instructor: Yogesh Uppal Email: yuppal@ysu.edu Chapter 2 Summarizing Qualitative Data Frequency distribution Relative frequency distribution Bar graph Pie chart
More informationSTA 2023 Test 1 Review You may receive help at the Math Center.
STA 2023 Test 1 Review You may receive help at the Math Center. These problems are intended to provide supplementary problems in preparation for test 1. This packet does not necessarily reflect the number,
More informationStriving for Excellence Agenda & Registration Information February 6-8, Doubletree at SeaWorld International Drive Orlando, FL 32821
Chief Human Resource Officers, Personnel Directors, and Professional Development Directors Annual Meeting, Human Capital Management Software Demonstration, and Round Robin Forum Striving for Excellence
More informationJMP TIP SHEET FOR BUSINESS STATISTICS CENGAGE LEARNING
JMP TIP SHEET FOR BUSINESS STATISTICS CENGAGE LEARNING INTRODUCTION JMP software provides introductory statistics in a package designed to let students visually explore data in an interactive way with
More informationPART 5 Managing Growth in the Small Business
Managing Operations PART 5 Managing Growth in the Small Business PowerPoint Presentation by Charlie Cook, The University of West Alabama 2010 Cengage Learning. All Rights Reserved. May not be scanned,
More informationStatistics 201 Summary of Tools and Techniques
Statistics 201 Summary of Tools and Techniques This document summarizes the many tools and techniques that you will be exposed to in STAT 201. The details of how to do these procedures is intentionally
More informationRadio buttons. Tick Boxes. Drop down list. Spreadsheets Revision Booklet. Entering Data. Each cell can contain one of the following things
Spreadsheets Revision Booklet Entering Data Each cell can contain one of the following things Spreadsheets can be used to: Record data Sort data (in ascending A-Z, 1-10 or descending (Z-A,10-1) order Search
More informationVariables and data types
Variables and data types (*) Data comes from observations. (*) Each observation yields values for one or more variables. (*) Qualitative variables: The characteristic is categorical. E.g., gender, ethnicity,
More informationMAS187/AEF258. University of Newcastle upon Tyne
MAS187/AEF258 University of Newcastle upon Tyne 2005-6 Contents 1 Collecting and Presenting Data 5 1.1 Introduction...................................... 5 1.1.1 Examples...................................
More informationComputing Descriptive Statistics Argosy University
2014 Argosy University 2 Computing Descriptive Statistics: Ever Wonder What Secrets They Hold? The Mean, Mode, Median, Variability, and Standard Deviation Introduction Before gaining an appreciation for
More informationData Visualization. Prof.Sushila Aghav-Palwe
Data Visualization By Prof.Sushila Aghav-Palwe Importance of Graphs in BI Business intelligence or BI is a technology-driven process that aims at collecting data and analyze it to extract actionable insights
More informationSeven Basic Quality Tools
Pareto Analysis 1 Seven Basic Quality Tools 1. Process Mapping / Flow Charts* 2. Check Sheets 3. Pareto Analysis 4. Cause & Effect Diagrams 5. Histograms 6. Scatter Diagrams (XY Graph) 7. Control Charts
More informationHSMAI Washington DC Chapter Program By the Institute for Hospitality & Tourism Education & Research & HSMAI. W e l c o m e t o y o u r f u t u r e
HSMAI Washington DC Chapter Program By the Institute for Hospitality & Tourism Education & Research & HSMAI Opening Presenters Karen Wollard, Ed. D., Associate Director, Professional & Continuing Education,
More informationBAR CHARTS. Display frequency distributions for nominal or ordinal data. Ej. Injury deaths of 100 children, ages 5-9, USA,
Graphs BAR CHARTS. Display frequency distributions for nominal or ordinal data. Ej. Injury deaths of 100 children, ages 5-9, USA, 1980-85. HISTOGRAMS. Display frequency distributions for continuous or
More informationHillstrom s Zip Code Forensics: An Innovative Way To Improve Multichannel Marketing Productivity
1 Hillstrom s Zip Code Forensics: An Innovative Way To Improve Multichannel Marketing Productivity Kevin Hillstrom, President, MineThatData October 28, 2008 Introduction We are fifteen years into the e-commerce
More informationSEES 503 SUSTAINABLE WATER RESOURCES. Floods. Instructor. Assist. Prof. Dr. Bertuğ Akıntuğ
SEES 503 SUSTAINABLE WATER RESOURCES Floods Instructor Assist. Prof. Dr. Bertuğ Akıntuğ Civil Engineering Program Middle East Technical University Northern Cyprus Campus SEES 503 Sustainable Water Resources
More informationPainting the U.S. Energy Affordability Landscape:
Painting the U.S. Energy Affordability Landscape: Opportunities for Alleviating Fuel Poverty with Energy Efficiency NEUAC Annual Conference Tuesday, June 7, 2016 Ariel Drehobl (adrehobl@aceee.org) Khalil
More informationAmerica s Most Trusted Active Adult Resort Builder
Lifestory Research America s Most Trusted January The Home Builder Brands We Trust Each year thousands of consumers over the age of 50 consider purchasing a new home community in an active adult resort
More informationTest Name: Test 1 Review
Test Name: Test 1 Review 1. Determine whether the statement describes a population or a sample. The heights of all the corn plants at Mr. Lonardo's greenhouse. 2. Determine whether the statement describes
More informationData familiarisation and description
BUSINESS STATISTICS Data familiarisation and description Week 1 Descriptive Statistics I, Excel I The U.S. Space Shuttle Challenger 28 January 1986, Challenger exploded soon after take-off, killing all
More informationExam 1 - Practice Exam (Chapter 1,2,3)
Exam 1 - Practice Exam (Chapter 1,2,3) (Test Bank Odds Ch 1-3) VERSION 2 TRUE/FALSE. Write 'T' if the statement is true and 'F' if the statement is false. 1) Statistics is a discipline that involves tools
More informationRounding a method for estimating a number by increasing or retaining a specific place value digit according to specific rules and changing all
Unit 1 This unit bundles student expectations that address whole number estimation and computational fluency and proficiency. According to the Texas Education Agency, mathematical process standards including
More informationLancer Fleet Safety Evaluation
Lancer Fleet Safety Evaluation Account Name: Address:, Contact Type: Telephone Visit Client Number: Link # Contact & Title: Surveyed By: Survey Date: Report Completion Date Phone: Work: Cell: Email Address:
More informationStatistics and data analysis procedures can be divided into two general categories: quantitative techniques and graphical techniques.
http://en.wikipedia.org/wiki/seven_tools_of_quality http://deming.eng.clemson.edu/pub/tutorials/qctools/qct.htm http://en.wikipedia.org/wiki/5_whys http://en.wikipedia.org/wiki/brainstorming http://syque.com/quality_tools/toolbook/brainstorm/example.htm
More informationContinuous Improvement Toolkit. Pareto Analysis. Continuous Improvement Toolkit.
Continuous Improvement Toolkit Pareto Analysis The Continuous Improvement Map Managing Risk FMEA Understanding Performance Check Sheets Data Collection PDPC RAID Log* Risk Assessment* Fault Tree Analysis
More informationADVERTISING THAT GETS NOTICED
ADVERTISING THAT GETS NOTICED AllOver Media is the nation s premier provider of Indoor Advertising. Full-color posters are prominently displayed in high-traffic public areas such as nightclubs, restaurants,
More informationManaging Wage Costs While Complying With Wage-Hour Requirements
Managing Wage Costs While Complying With Wage-Hour Requirements Presented by: Name of Presenting Attorney Phone: (xxx) xxx-xxxx Email: xxx@laborlawyers.com Atlanta Charlotte Chicago Columbia Dallas Denver
More informationWebinar Control Panel Raise your hand to ask a question Only enabled if you have entered your Audio Pin! Enter Your Audio Pin Enter questions & comments here Conquering Employment Law Conundrums Webinar
More information1- Number of bicycles sold in one year by a large sporting goods store is an example of what type of data? A) Qualitative B) Quantitative
Chapter 1 Exercises 1- Number of bicycles sold in one year by a large sporting goods store is an example of what type of data? 2- Colors of baseball caps in a store is an example of what type of data?
More informationAnalytics Transition Year Module 2
Analytics Transition Year Module 2 Overview of Project Module 1 Module 2 Module 3 Module 4 Overview Introduction to the challenge Using Analytics to understand the problem Interpretation of Analysis New
More information= = Intro to Statistics for the Social Sciences. Name: Lab Session: Spring, 2015, Dr. Suzanne Delaney
Name: Intro to Statistics for the Social Sciences Lab Session: Spring, 2015, Dr. Suzanne Delaney CID Number: _ Homework #22 You have been hired as a statistical consultant by Donald who is a used car dealer
More informationCBRE Cap Rate SURVEY. second Half A CBRE RESEARCH Publication
CBRE Cap Rate SURVEY A CBRE RESEARCH Publication United States Overview Key National Observations Commercial real estate in the U.S. continues to be very attractive. The investment landscape also remains
More informationWhat s Driving Office Job Growth?
What s Driving Office Job Growth? EXECUTIVE SUMMARY Office-using job growth creates demand for commercial office space Computer/mathematic-related occupations have been the number one driver of office-using
More informationFields in the (L6C) Screen
Updated July 2017 Contents Introduction...3 Field Definitions...3 Sparco Parameters...3 Log...3 Canadian Dealer...4 SPS Printer...4 Prefix...4 SPR Direct P/O...4 ASN...4 Inv...4 All Inv...4 Credits...4
More informationExcel 2011 Charts - Introduction Excel 2011 Series The University of Akron. Table of Contents COURSE OVERVIEW... 2
Table of Contents COURSE OVERVIEW... 2 DISCUSSION... 2 OBJECTIVES... 2 COURSE TOPICS... 2 LESSON 1: CREATE A CHART QUICK AND EASY... 3 DISCUSSION... 3 CREATE THE CHART... 4 Task A Create the Chart... 4
More informationIndustrial Market Drivers Study
Industrial Market Drivers Study Hani Mahmassani Christopher Lindsey Joint study with Business Advisory Meeting October 26, 2011 Outline Motivation Objectives Methodology Key Findings Motivation Identify
More informationThe State of the American Traveler
Destination Analysts The State of the American Traveler TM DESTINATIONS EDITION Winter 2018 Volume 27 The Destinations Edition THIS EDITION of The State of the American TravelerTM destinations Americans
More information1. What is a key difference between an Affinity Diagram and other tools?
1) AFFINITY DIAGRAM 1. What is a key difference between an Affinity Diagram and other tools? Affinity Diagram builds the hierarchy 'bottom-up', starting from the basic elements and working up, as opposed
More informationA Global Marketing Information Company jdpower.com Water Utility Residential Customer Satisfaction Study
A Global Marketing Information Company jdpower.com 2016 Water Utility Residential Customer Satisfaction Study 2016 Water Utility Residential Customer Satisfaction Study Publish Date: May, 2016 The water
More information80/20. It can ensure that your cause analysis and corrective actions are focused on the vital few: Pareto Analysis What is it?
8/2 Pareto Analysis What is it? A type of bar chart used to distinguish the vital few areas of importance from the trivial many. The tool is named after Vilfredo Pareto. He was a 19 th century economist
More informationRetail/e-Commerce Distribution (ReD) Customized services, data and technology to enable real estate solutions.
Retail/e-Commerce Distribution (ReD) Customized services, data and technology to enable real estate solutions. Retail E-Commerce Distribution Challenge and opportunity Today, e-commerce sales are growing
More informationChart Recipe ebook. by Mynda Treacy
Chart Recipe ebook by Mynda Treacy Knowing the best chart for your message is essential if you are to produce effective dashboard reports that clearly and succinctly convey your message. M y O n l i n
More informationLEAN PRODUCTION SYSTEM
LEAN PRODUCTION SYSTEM Introduction Lean Overview Process Control Tools 1. Flow Chart / Diagram 2. Check Sheet 3. Histogram 4. Pareto Chart / Diagram 5. Cause-and-Effect Diagram 6. Why-Why Diagram 7. Scatter
More informationIntellectual Capital. On Demand.
Intellectual Capital. On Demand. A unique approach to consulting. RGP is made up of proven problem solvers accomplished professionals who give you the help you need, when you need it, how you need it.
More informationTopic 1: Descriptive Statistics
Topic 1: Descriptive Statistics Econ 245_Topic 1 page1 Reference: N.C &T.: Chapter 1 Objectives: Basic Statistical Definitions Methods of Displaying Data Definitions: S : a numerical piece of information
More informationCHAPTER 2 SECTION 2: GRAPHICAL AND TABULAR DESCRIPTIVE TECHNIQUES
CHAPTER 2 SECTION 2: GRAPHICAL AND TABULAR DESCRIPTIVE TECHNIQUES MULTIPLE CHOICE 35. Which of the following statements about pie charts is false? a. A pie chart is a graphical representation of a relative
More information= = Name: Lab Session: CID Number: The database can be found on our class website: Donald s used car data
Intro to Statistics for the Social Sciences Fall, 2017, Dr. Suzanne Delaney Extra Credit Assignment Instructions: You have been hired as a statistical consultant by Donald who is a used car dealer to help
More informationCreating Simple Report from Excel
Creating Simple Report from Excel 1.1 Connect to Excel workbook 1. Select Connect Microsoft Excel. In the Open File dialog box, select the 2015 Sales.xlsx file. 2. The file will be loaded to Tableau, and
More information1/15 Test 1A. COB 191, Fall 2004
1/15 Test 1A. COB 191, Fall 2004 Name Grade Please provide computational details for questions and problems to get any credit. The following problem is associated with questions 1 to 5. Most presidential
More informationLeasing momentum boosting construction demand, but costs growing
Leasing momentum boosting construction demand, but costs growing United States Construction Perspective Q4 2014 Construction starts increased in 2014, driven by improved demand from the office and industrial
More informationNew Perspectives on Microsoft Excel Module 4: Analyzing and Charting Financial Data
New Perspectives on Microsoft Excel 2016 Module 4: Analyzing and Charting Financial Data Objectives, Part 1 Use the PMT function to calculate a loan payment Create an embedded pie chart Apply styles to
More informationPareto Charts [04-25] Finding and Displaying Critical Categories
Introduction Pareto Charts [04-25] Finding and Displaying Critical Categories Introduction Pareto Charts are a very simple way to graphically show a priority breakdown among categories along some dimension/measure
More information2018 Law Firm Leaders SurveyTexas
2018 Law Firm Leaders SurveyTexas EXECUTIVE SUMMARY 2018 LAW FIRM LEADERS SURVEY: MORE LAW FIRM MERGERS AHEAD IN TEXAS 82% report they 32% are open Most firms prioritize 48% of participating were approached
More informationWAGE-HOUR 201: The Principles In Practice WAGE-HOUR 201 WAGE-HOUR 201. There has been an enormous wage-hour litigation boom
: The Principles In Practice Lawrence S. McGoldrick www.laborlawyers.com Atlanta Charlotte Chicago Columbia Dallas Fort Lauderdale Houston Irvine Kansas City Las Vegas New Jersey New Orleans Orlando Philadelphia
More informationCommunity Development Committee
C Community Development Committee Meeting date: February 21, 2012 ADVISORY INFORMATION Date: February 14, 2012 Subject: Employment in the Twin Cities District(s), Member(s): All Policy/Legal Reference:
More informationActivities supporting the assessment of this award [3]
Relevant LINKS BACK TO ITQ UNITS [1] Handbook home page [2] Overview This is the ability to use a software application designed to record data in rows and columns, perform calculations with numerical data
More informationMath 1 Variable Manipulation Part 8 Working with Data
Name: Math 1 Variable Manipulation Part 8 Working with Data Date: 1 INTERPRETING DATA USING NUMBER LINE PLOTS Data can be represented in various visual forms including dot plots, histograms, and box plots.
More informationMath 1 Variable Manipulation Part 8 Working with Data
Math 1 Variable Manipulation Part 8 Working with Data 1 INTERPRETING DATA USING NUMBER LINE PLOTS Data can be represented in various visual forms including dot plots, histograms, and box plots. Suppose
More informationCalifornia STATISTICS & TRENDS
California IIDairyI STATISTICS & TRENDS 2 2010 MID-YEAR REVIEW 2010 Review California continued the trend of 2009 and recorded decreased milk production for the first four months of 2010. However, the
More informationLesson 2 Pre-Visit Take Me Out to the Ballgame If You Can Afford It!
Lesson 2 Pre-Visit Take Me Out to the Ballgame If You Can Afford It! Objective: Students will be able to: Understand the role of consumer demand in determining price. Identify factors that contribute to
More informationExploring Microsoft Office Excel 2007
Exploring Microsoft Office Excel 2007 Chapter 3: Charts: Delivering a Message Robert Grauer, Keith Mulbery, Judy Scheeren Committed to Shaping the Next Generation of IT Experts. Copyright 2008 Prentice-Hall.
More informationIBM ServicePac for Essential Support Maintenance Services
IBM Maintenance Services for Warranty and Maintenance Options IBM for Essential Support Maintenance Services Supported Products List January 24, 2012 IBM for Essential Support Maintenance Services Overview
More informationThe Lodging Market Potential Index (L-MPI ) Ranking of Major Lodging Markets in the United States
The Lodging Market Potential (L-MPI ) ing of Major Lodging Markets in the United States By A.J. Singh, Raymond S. Schmidgall and Tunga Kiyak Executive Briefing: The Lodging Market Potential (L-MPI ) as
More informationWater Rates in the United States
Prepared By: Rachel Turner GIS in Water Resources Dr. David Maidment December 2, 2016 Table of Contents 1.0 Introduction... 3 2.0 Project Overview... 3 2.1 Background... 3 2.1.1 Rate Structures... 4 2.2
More information2017 Fan Experience Study. Beyond Measure jdpower.com
2017 Fan Experience Study The Fan Experience Study provided us comprehensive feedback in all of the most critical areas of our business. We constantly strive improve the guest experience, and the analytics
More informationBeyond Measure jdpower.com Water Utility Residential Customer Satisfaction Study
Beyond Measure jdpower.com 2018 Water Utility Residential Customer Satisfaction Study 2018 Water Utility Residential Customer Satisfaction Study Bain Certified Net Promoter Score by J.D. Power now available!
More informationLocal In-Person Conference Access to Key IT Decision Makers TECHSUMMIT
Local In-Person Conference Access to Key IT Decision Makers TECHSUMMIT Sponsor Prospectus "The event went just as planned and we were very happy with the turnout. Thank you so much for all the help! Look
More informationBeyond Measure jdpower.com Water Utility Residential Customer Satisfaction Study
Beyond Measure jdpower.com 2018 Water Utility Residential Customer Satisfaction Study 2018 Water Utility Residential Customer Satisfaction Study Bain Certified Net Promoter Score by J.D. Power now available!
More informationHuman Resource Trends And Their Implications For Profitability
20th Anniversary Conference Human Resource Trends And Their Implications For Profitability October 31, 2008 2008 by WageWatch, Inc. About WageWatch Leading online industry wage, salary, and benefits survey
More informationGMP and Quality Control: An Industry Perspective. Steven S. Zigler, Ph.D. PETNET Pharmaceuticals, Inc. Knoxville, Tennessee
GMP and Quality Control: An Industry Perspective Steven S. Zigler, Ph.D. PETNET Pharmaceuticals, Inc. Knoxville, Tennessee GMP in Preparation of Precursors Not necessary However, we need stability data
More informationMentor: William F. Hunt, Jr. Adjunct Professor. In this project our group set out to determine what effect, if any, an air monitor s distance
Assessment of Air Quality Trends Near Roadways By Taylor York, Carey Jackson, and Aaron Lamb Undergraduate Statistics Program North Carolina State University Mentor: William F. Hunt, Jr. Adjunct Professor
More informationP6 Analytics Reference Manual
P6 Analytics Reference Manual Release 3.2 December 2013 Contents Getting Started... 7 About P6 Analytics... 7 Prerequisites to Use Analytics... 8 About Analyses... 9 About... 9 About Dashboards... 10
More information