Statistics for Managers using Microsoft Excel 3 rd Edition

Size: px
Start display at page:

Download "Statistics for Managers using Microsoft Excel 3 rd Edition"

Transcription

1 Statistics for Managers using Microsoft Excel 3 rd Edition Chapter 2 Presenting Data in Tables and Charts 22 Prentice-Hall, Inc. Chap 2-1

2 Chapter Topics Organizing numerical data The ordered array and stem-leaf display Tabulating and graphing Univariate numerical data Frequency distributions: tables, histograms, polygons Cumulative distributions: tables, the Ogive Graphing Bivariate numerical data 22 Prentice-Hall, Inc. Chap 2-2

3 Chapter Topics Tabulating and graphing Univariate categorical data The summary table Bar and pie charts, the Pareto diagram Tabulating and graphing Bivariate categorical data Contingency tables Side by side bar charts Graphical excellence and common errors in presenting data (continued) 22 Prentice-Hall, Inc. Chap 2-3

4 Organizing Numerical Data Numerical Data 41, 24, 32, 26, 27, 27, 3, 24, 38, 21 Ordered Array 21, 24, 24, 26, 27, 27, 3, 32, 38, 41 Frequency Distributions Cumulative Distributions Stem and Leaf Display Tables Histograms Polygons Ogive 22 Prentice-Hall, Inc. Chap 2-4

5 Organizing Numerical Data Data in raw form (as collected): 24, 26, 24, 21, 27, 27, 3, 41, 32, 38 Data in ordered array from smallest to largest: 21, 24, 24, 26, 27, 27, 3, 32, 38, 41 Stem-and-leaf display: (continued) 22 Prentice-Hall, Inc. Chap 2-5

6 Tabulating and Graphing Numerical Data Numerical Data 41, 24, 32, 26, 27, 27, 3, 24, 38, 21 Ordered Array 21, 24, 24, 26, 27, 27, 3, 32, 38, 41 Frequency Distributions Cumulative Distributions O give Stem and Leaf Display Histograms 7 6 Tables Ogive Polygons Prentice-Hall, Inc. Chap 2-6

7 Tabulating Numerical Data: Frequency Distributions Sort raw data in ascending order: 12, 13, 17, 21, 24, 24, 26, 27, 27, 3, 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): 1 (46/5 then round up) Determine class boundaries (limits): 1, 2, 3, 4, 5, 6 Compute class midpoints: 15, 25, 35, 45, 55 Count observations & assign to classes 22 Prentice-Hall, Inc. Chap 2-7

8 Class Frequency Distributions, Relative Frequency Distributions and Percentage Distributions Data in ordered array: 12, 13, 17, 21, 24, 24, 26, 27, 27, 3, 32, 35, 37, 38, 41, 43, 44, 46, 53, 58 Frequency Relative Frequency Percentage 1 but under but under but under but under but under Total Prentice-Hall, Inc. Chap 2-8

9 Frequency Graphing Numerical Data: The Histogram Data in ordered array: 12, 13, 17, 21, 24, 24, 26, 27, 27, 3, 32, 35, 37, 38, 41, 43, 44, 46, 53, 58 Histogram More No Gaps Between Bars Class Boundaries Class Midpoints 22 Prentice-Hall, Inc. Chap 2-9

10 Graphing Numerical Data: The Frequency Polygon Data in ordered array: 12, 13, 17, 21, 24, 24, 26, 27, 27, 3, 32, 35, 37, 38, 41, 43, 44, 46, 53, 58 F r e q u e n c y M o r e Class Midpoints 22 Prentice-Hall, Inc. Chap 2-1

11 Tabulating Numerical Data: Cumulative Frequency Data in ordered array: 12, 13, 17, 21, 24, 24, 26, 27, 27, 3, 32, 35, 37, 38, 41, 43, 44, 46, 53, 58 Cumulative Cumulative Class Frequency % Frequency 1 but under but under but under but under but under Prentice-Hall, Inc. Chap 2-11

12 Graphing Numerical Data: The Ogive (Cumulative % Polygon) Data in ordered array: 12, 13, 17, 21, 24, 24, 26, 27, 27, 3, 32, 35, 37, 38, 41, 43, 44, 46, 53, 58 Ogive Class Boundaries (Not Midpoints) 22 Prentice-Hall, Inc. Chap 2-12

13 Total Year to Date Return (%) Graphing Bivariate Numerical Data (Scatter Plot) Mutual Funds Scatter Plot Net Asset Values 22 Prentice-Hall, Inc. Chap 2-13

14 Tabulating and Graphing Categorical Data:Univariate Data Categorical Data Tabulating Data The Summary Table Graphing Data Pie Charts Bar Charts Pareto Diagram 22 Prentice-Hall, Inc. Chap 2-14

15 Summary Table (for an Investor s Portfolio) Investment Category Amount Percentage (in thousands $) Stocks Bonds CD Savings Total 11 1 Variables are Categorical 22 Prentice-Hall, Inc. Chap 2-15

16 Graphing Categorical Data: Univariate Data Categorical Data Tabulating Data The Summary Table Graphing Data Pie Charts CD S a vin g s B o n d s Bar Charts Pareto Diagram S to c k s S t o c k s B o n d s S a vin g s CD 22 Prentice-Hall, Inc. Chap 2-16

17 Bar Chart (for an Investor s Portfolio) Investor's Portfolio Savings CD Bonds Stocks Amount in K$ 22 Prentice-Hall, Inc. Chap 2-17

18 Pie Chart (for an Investor s Portfolio) Amount Invested in K$ Savings 15% CD 14% Stocks 42% Bonds 29% Percentages are rounded to the nearest percent. 22 Prentice-Hall, Inc. Chap 2-18

19 Pareto Diagram 45% 1% 4% 9% Axis for bar chart shows % invested in each category 35% 3% 25% 2% 15% 1% 5% % Stocks Bonds Savings CD 8% 7% 6% 5% 4% 3% 2% 1% % Axis for line graph shows cumulative % invested 22 Prentice-Hall, Inc. Chap 2-19

20 Tabulating and Graphing Bivariate Categorical Data Contingency tables: investment in thousands of dollars Investment Investor A Investor B Investor C Total Category Stocks Bonds CD Savings Total Prentice-Hall, Inc. Chap 2-2

21 Tabulating and Graphing Bivariate Categorical Data Side by side charts C omparing Investors S avings CD B onds S toc k s Inves tor A Inves tor B Inves tor C 22 Prentice-Hall, Inc. Chap 2-21

22 Principles of Graphical Excellence Presents data in a way that provides substance, statistics and design Communicates complex ideas with clarity, precision and efficiency Gives the largest number of ideas in the most efficient manner Almost always involves several dimensions Tells the truth about the data 22 Prentice-Hall, Inc. Chap 2-22

23 Errors in Presenting Data Using chart junk Failing to provide a relative basis in comparing data between groups Compressing the vertical axis Providing no zero point on the vertical axis 22 Prentice-Hall, Inc. Chap 2-23

24 Chart Junk Bad Presentation Good Presentation Minimum Wage 196: $1. 197: $ : $ : $ $ Minimum Wage Prentice-Hall, Inc. Chap 2-24

25 No Relative Basis 3 2 Bad Presentation Freq. A s received by students. FR SO JR SR 3 1 % Good Presentation A s received by students. FR SO JR SR FR = Freshmen, SO = Sophomore, JR = Junior, SR = Senior 22 Prentice-Hall, Inc. Chap 2-25

26 Compressing Vertical Axis 2 1 Bad Presentation $ Quarterly Sales 5 25 Good Presentation $ Quarterly Sales Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 22 Prentice-Hall, Inc. Chap 2-26

27 No Zero Point on Vertical Axis $ Bad Presentation Monthly Sales J F M A M J Good Presentation $ Monthly Sales J F M A M J Graphing the first six months of sales. 22 Prentice-Hall, Inc. Chap 2-27

28 Chapter Summary Organized numerical data The ordered array and stem-leaf display Tabulated and graphed univariate numerical data Frequency distributions: tables, histograms, polygon Cumulative distributions: tables and the Ogive Graphed bivariate numerical data 22 Prentice-Hall, Inc. Chap 2-28

29 Chapter Summary (continued) Tabulated and graphed univariate categorical data The summary table Bar and pie charts, the Pareto diagram Tabulated and graphed bivariate categorical data Contingency tables Side by side charts Discussed graphical excellence and common errors in presenting data 22 Prentice-Hall, Inc. Chap 2-29

Principles of Graphical Excellence Best Paper: ALAIR April 5 6, 2001 AIR: June 2-5, 2002, Toronto Focus-IR, February 21, 2003

Principles of Graphical Excellence Best Paper: ALAIR April 5 6, 2001 AIR: June 2-5, 2002, Toronto Focus-IR, February 21, 2003 Anna T. Waggener, Ph.D. Institutional Assessment United States Army War College Principles of Graphical Excellence Best Paper: ALAIR April 5 6, 2001 AIR: June 2-5, 2002, Toronto Focus-IR, February 21,

More information

Business Statistics:

Business Statistics: Department of Quantitative Methods & Information Systems Business Statistics: Chapter 2 Graphs, Charts, and Tables Describing Your Data QMIS 120 Dr. Mohammad Zainal Chapter Goals After completing this

More information

DESCRIBING DATA. Frequency Tables, Frequency Distributions, and Graphic Presentation

DESCRIBING DATA. Frequency Tables, Frequency Distributions, and Graphic Presentation DESCRIBING DATA Frequency Tables, Frequency Distributions, and Graphic Presentation Raw Data A raw data is the data obtained before it is being processed or arranged. 2 Example: Raw Score A raw score is

More information

Elementary Statistics. Graphing Data

Elementary Statistics. Graphing Data Graphing Data What have we learned so far? 1 Randomly collect data. 2 Sort the data. 3 Compute the class width for specific number of classes. 4 Complete a frequency distribution table with the following

More information

Chapter 2 Frequency Distributions and Graphs

Chapter 2 Frequency Distributions and Graphs Chapter 2 Frequency Distributions and Graphs Outline 2-1 Organizing Data 2-2 Histograms, Frequency Polygons, and Ogives 2-3 Other Types of Graphs Objectives Organize data using a frequency distribution.

More information

STK110. Chapter 2: Tabular and Graphical Methods Lecture 1 of 2. ritakeller.com. mathspig.wordpress.com

STK110. Chapter 2: Tabular and Graphical Methods Lecture 1 of 2. ritakeller.com. mathspig.wordpress.com STK110 Chapter 2: Tabular and Graphical Methods Lecture 1 of 2 ritakeller.com mathspig.wordpress.com Frequency distribution Example Data from a sample of 50 soft drink purchases Frequency Distribution

More information

LESSON 2: FREQUENCY DISTRIBUTION

LESSON 2: FREQUENCY DISTRIBUTION LESSON : FREQUENCY DISTRIBUTION Outline Frequency distribution, histogram, frequency polygon Relative frequency histogram Cumulative relative frequency graph Stem-and-leaf plots Scatter diagram Pie charts,

More information

Review. In an experiment, there is one variable that is of primary interest. There are several other factors, which may affect the measured result.

Review. In an experiment, there is one variable that is of primary interest. There are several other factors, which may affect the measured result. Review Observational study vs experiment Experimental designs In an experiment, there is one variable that is of primary interest. There are several other factors, which may affect the measured result.

More information

Frequency Distribution and Graphs

Frequency Distribution and Graphs Chapter 2 Frequency Distribution and Graphs 2.1 Organizing Qualitative Data Denition 2.1.1 A categorical frequency distribution lists the number of occurrences for each category of data. Example 2.1.1

More information

Chapter 2. Organizing Data. Slide 2-2. Copyright 2012, 2008, 2005 Pearson Education, Inc.

Chapter 2. Organizing Data. Slide 2-2. Copyright 2012, 2008, 2005 Pearson Education, Inc. Chapter 2 Organizing Data Slide 2-2 Section 2.1 Variables and Data Slide 2-3 Definition 2.1 Variables Variable: A characteristic that varies from one person or thing to another. Qualitative variable: A

More information

Section 1.5 Graphs and Describing Distributions

Section 1.5 Graphs and Describing Distributions Section 1.5 Graphs and Describing Distributions Data can be displayed using graphs. Some of the most common graphs used in statistics are: Bar graph Pie Chart Dot plot Histogram Stem and leaf plot Box

More information

Describing Data Visually. Describing Data Visually. Describing Data Visually 9/28/12. Applied Statistics in Business & Economics, 4 th edition

Describing Data Visually. Describing Data Visually. Describing Data Visually 9/28/12. Applied Statistics in Business & Economics, 4 th edition A PowerPoint Presentation Package to Accompany Applied Statistics in Business & Economics, 4 th edition David P. Doane and Lori E. Seward Prepared by Lloyd R. Jaisingh Describing Data Visually Chapter

More information

Numerical: Data with quantity Discrete: whole number answers Example: How many siblings do you have?

Numerical: Data with quantity Discrete: whole number answers Example: How many siblings do you have? Types of data Numerical: Data with quantity Discrete: whole number answers Example: How many siblings do you have? Continuous: Answers can fall anywhere in between two whole numbers. Usually any type of

More information

Notes 5C: Statistical Tables and Graphs

Notes 5C: Statistical Tables and Graphs Notes 5C: Statistical Tables and Graphs Frequency Tables A frequency table is an easy way to display raw data. A frequency table typically has between two to four columns: The first column lists all the

More information

Going back to the definition of Biostatistics. Organizing and Presenting Data. Learning Objectives. Nominal Data 10/10/2016. Tabulation and Graphs

Going back to the definition of Biostatistics. Organizing and Presenting Data. Learning Objectives. Nominal Data 10/10/2016. Tabulation and Graphs 1/1/1 Organizing and Presenting Data Tabulation and Graphs Introduction to Biostatistics Haleema Masud Going back to the definition of Biostatistics The collection, organization, summarization, analysis,

More information

Lecture 2: Chapter 2

Lecture 2: Chapter 2 Lecture 2: Chapter 2 C C Moxley UAB Mathematics 3 June 15 2.2 Frequency Distributions Definition (Frequency Distribution) Frequency distributions shows how data are distributed among categories (classes)

More information

Chpt 2. Frequency Distributions and Graphs. 2-3 Histograms, Frequency Polygons, Ogives / 35

Chpt 2. Frequency Distributions and Graphs. 2-3 Histograms, Frequency Polygons, Ogives / 35 Chpt 2 Frequency Distributions and Graphs 2-3 Histograms, Frequency Polygons, Ogives 1 Chpt 2 Homework 2-3 Read pages 48-57 p57 Applying the Concepts p58 2-4, 10, 14 2 Chpt 2 Objective Represent Data Graphically

More information

Chapter Displaying Graphical Data. Frequency Distribution Example. Graphical Methods for Describing Data. Vision Correction Frequency Relative

Chapter Displaying Graphical Data. Frequency Distribution Example. Graphical Methods for Describing Data. Vision Correction Frequency Relative Chapter 3 Graphical Methods for Describing 3.1 Displaying Graphical Distribution Example The data in the column labeled vision for the student data set introduced in the slides for chapter 1 is the answer

More information

Introduction. Descriptive Statistics. Problem Solving. Inferential Statistics. Chapter1 Slides. Maurice Geraghty

Introduction. Descriptive Statistics. Problem Solving. Inferential Statistics. Chapter1 Slides. Maurice Geraghty Inferential Statistics and Probability a Holistic Approach Chapter 1 Displaying and Analyzing Data with Graphs This Course Material by Maurice Geraghty is licensed under a Creative Commons Attribution-ShareAlike

More information

Chapter 3. Graphical Methods for Describing Data. Copyright 2005 Brooks/Cole, a division of Thomson Learning, Inc.

Chapter 3. Graphical Methods for Describing Data. Copyright 2005 Brooks/Cole, a division of Thomson Learning, Inc. Chapter 3 Graphical Methods for Describing Data 1 Frequency Distribution Example The data in the column labeled vision for the student data set introduced in the slides for chapter 1 is the answer to the

More information

Describing Data: Frequency Tables, Frequency Distributions, and Graphic Presentation. Chapter 2

Describing Data: Frequency Tables, Frequency Distributions, and Graphic Presentation. Chapter 2 Describing Data: Frequency Tables, Frequency Distributions, and Graphic Presentation Chapter 2 Learning Objectives Organize qualitative data into a frequency table. Present a frequency table as a bar chart

More information

Why Should We Care? More importantly, it is easy to lie or deceive people with bad plots

Why Should We Care? More importantly, it is easy to lie or deceive people with bad plots Elementary Plots Why Should We Care? Everyone uses plotting But most people ignore or are unaware of simple principles Default plotting tools (or default settings) are not always the best More importantly,

More information

SS Understand charts and graphs used in business.

SS Understand charts and graphs used in business. SS2 2.02 Understand charts and graphs used in business. Purpose of Charts and Graphs 1. Charts and graphs are used in business to communicate and clarify spreadsheet information. 2. Charts and graphs emphasize

More information

Lecture Slides. Elementary Statistics Twelfth Edition. by Mario F. Triola. and the Triola Statistics Series. Section 2.2- #

Lecture Slides. Elementary Statistics Twelfth Edition. by Mario F. Triola. and the Triola Statistics Series. Section 2.2- # Lecture Slides Elementary Statistics Twelfth Edition and the Triola Statistics Series by Mario F. Triola Chapter 2 Summarizing and Graphing Data 2-1 Review and Preview 2-2 Frequency Distributions 2-3 Histograms

More information

Chapter 6: Descriptive Statistics

Chapter 6: Descriptive Statistics Chapter 6: Descriptive Statistics Problem (01): Make a frequency distribution table for the following data using 5 classes. 5 10 7 19 25 12 15 7 6 8 17 17 22 21 7 7 24 5 6 5 Problem (02): Annual Salaries

More information

Simple Graphical Techniques

Simple Graphical Techniques Simple Graphical Techniques Graphs are the pictorial representation of facts and figures, or data. The eye can detect patterns and trends from graphs far more easily than from a lot of numbers. Linear

More information

NCSS Statistical Software

NCSS Statistical Software Chapter 147 Introduction A mosaic plot is a graphical display of the cell frequencies of a contingency table in which the area of boxes of the plot are proportional to the cell frequencies of the contingency

More information

Chapter 1. Statistics. Individuals and Variables. Basic Practice of Statistics - 3rd Edition. Chapter 1 1. Picturing Distributions with Graphs

Chapter 1. Statistics. Individuals and Variables. Basic Practice of Statistics - 3rd Edition. Chapter 1 1. Picturing Distributions with Graphs Chapter 1 Picturing Distributions with Graphs BPS - 3rd Ed. Chapter 1 1 Statistics Statistics is a science that involves the extraction of information from numerical data obtained during an experiment

More information

Chapter 4. September 08, appstats 4B.notebook. Displaying Quantitative Data. Aug 4 9:13 AM. Aug 4 9:13 AM. Aug 27 10:16 PM.

Chapter 4. September 08, appstats 4B.notebook. Displaying Quantitative Data. Aug 4 9:13 AM. Aug 4 9:13 AM. Aug 27 10:16 PM. Objectives: Students will: Chapter 4 1. Be able to identify an appropriate display for any quantitative variable: stem leaf plot, time plot, histogram and dotplot given a set of quantitative data. 2. Be

More information

Chapter 2. The Excel functions, Excel Analysis ToolPak Add-ins or Excel PHStat2 Add-ins needed to create frequency distributions are:

Chapter 2. The Excel functions, Excel Analysis ToolPak Add-ins or Excel PHStat2 Add-ins needed to create frequency distributions are: I. Organizing Data in Tables II. Describing Data by Graphs Chapter 2 I. Tables: 1. Frequency Distribution (Nominal or Ordinal) 2. Grouped Frequency Distribution (Interval or Ratio data) 3. Joint Frequency

More information

Chapter 10. Definition: Categorical Variables. Graphs, Good and Bad. Distribution

Chapter 10. Definition: Categorical Variables. Graphs, Good and Bad. Distribution Chapter 10 Graphs, Good and Bad Chapter 10 3 Distribution Definition: Tells what values a variable takes and how often it takes these values Can be a table, graph, or function Categorical Variables Places

More information

Describing Data: Displaying and Exploring Data. Chapter 4

Describing Data: Displaying and Exploring Data. Chapter 4 Describing Data: Displaying and Exploring Data Chapter 4 Learning Objectives Develop and interpret a dot plot. Develop and interpret a stem-and-leaf display. Compute and understand quartiles. Construct

More information

Chapter 4 Displaying and Describing Quantitative Data

Chapter 4 Displaying and Describing Quantitative Data Chapter 4 Displaying and Describing Quantitative Data Overview Key Concepts Be able to identify an appropriate display for any quantitative variable. Be able to guess the shape of the distribution of a

More information

Outline. Drawing the Graph. 1 Homework Review. 2 Introduction. 3 Histograms. 4 Histograms on the TI Assignment

Outline. Drawing the Graph. 1 Homework Review. 2 Introduction. 3 Histograms. 4 Histograms on the TI Assignment Lecture 14 Section 4.4.4 on Hampden-Sydney College Fri, Sep 18, 2009 Outline 1 on 2 3 4 on 5 6 Even-numbered on Exercise 4.25, p. 249. The following is a list of homework scores for two students: Student

More information

10 Wyner Statistics Fall 2013

10 Wyner Statistics Fall 2013 1 Wyner Statistics Fall 213 CHAPTER TWO: GRAPHS Summary Terms Objectives For research to be valuable, it must be shared. The fundamental aspect of a good graph is that it makes the results clear at a glance.

More information

Statistics 101 Reviewer for Final Examination

Statistics 101 Reviewer for Final Examination Statistics 101 Reviewer for Final Examination Elementary Statistics S101-FE-003 TRUE or FALSE. Write True, if the statement is correct, and False, if otherwise. (20 pts.) 1. A sample is a subset of the

More information

Stat 20: Intro to Probability and Statistics

Stat 20: Intro to Probability and Statistics Stat 20: Intro to Probability and Statistics Lecture 4: Data Displays (cont.) Tessa L. Childers-Day UC Berkeley 26 June 2014 By the end of this lecture... You will be able to: Comprehend displays of quantitative

More information

Organizing Data 10/11/2011. Focus Points. Frequency Distributions, Histograms, and Related Topics. Section 2.1

Organizing Data 10/11/2011. Focus Points. Frequency Distributions, Histograms, and Related Topics. Section 2.1 Organizing Data 2 Copyright Cengage Learning. All rights reserved. Section 2.1 Frequency Distributions, Histograms, and Related Topics Copyright Cengage Learning. All rights reserved. Focus Points Organize

More information

11 Wyner Statistics Fall 2018

11 Wyner Statistics Fall 2018 11 Wyner Statistics Fall 218 CHAPTER TWO: GRAPHS Review September 19 Test September 28 For research to be valuable, it must be shared, and a graph can be an effective way to do so. The fundamental aspect

More information

Why Should We Care? Everyone uses plotting But most people ignore or are unaware of simple principles Default plotting tools are not always the best

Why Should We Care? Everyone uses plotting But most people ignore or are unaware of simple principles Default plotting tools are not always the best Elementary Plots Why Should We Care? Everyone uses plotting But most people ignore or are unaware of simple principles Default plotting tools are not always the best More importantly, it is easy to lie

More information

PSY 307 Statistics for the Behavioral Sciences. Chapter 2 Describing Data with Tables and Graphs

PSY 307 Statistics for the Behavioral Sciences. Chapter 2 Describing Data with Tables and Graphs PSY 307 Statistics for the Behavioral Sciences Chapter 2 Describing Data with Tables and Graphs Class Progress To-Date Math Readiness Descriptives Midterm next Monday Frequency Distributions One of the

More information

Learning Objectives. Describing Data: Displaying and Exploring Data. Dot Plot. Dot Plot 12/9/2015

Learning Objectives. Describing Data: Displaying and Exploring Data. Dot Plot. Dot Plot 12/9/2015 Describing Data: Displaying and Exploring Data Chapter 4 Learning Objectives Develop and interpret a dot plot. Develop and interpret a stem-and-leaf display. Compute and understand quartiles. Construct

More information

Chapter 2 Descriptive Statistics: Tabular and Graphical Methods

Chapter 2 Descriptive Statistics: Tabular and Graphical Methods Chapter Descriptive Statistics http://nscc-webctdev.northweststate.edu/script/sta_sp/scripts/student/serve_page... Page of 7 /7/9 Chapter Descriptive Statistics: Tabular and Graphical Methods Data can

More information

Chapter 1. Picturing Distributions with Graphs

Chapter 1. Picturing Distributions with Graphs Chapter 1. Picturing Distributions with Graphs 1 Chapter 1. Picturing Distributions with Graphs Definition. Individuals are the objects described by a set of data. Individuals may be people, but they may

More information

Data and its representation

Data and its representation 2 Data and its representation A microphone in the sidewalk would provide an eavesdropper with a cacophony of clocks, seemingly random like the noise from a Geiger counter. But the right kind of person

More information

Displaying Distributions with Graphs

Displaying Distributions with Graphs Displaying Distributions with Graphs Recall that the distribution of a variable indicates two things: (1) What value(s) a variable can take, and (2) how often it takes those values. Example 1: Weights

More information

Notes: Displaying Quantitative Data

Notes: Displaying Quantitative Data Notes: Displaying Quantitative Data Stats: Modeling the World Chapter 4 A or is often used to display categorical data. These types of displays, however, are not appropriate for quantitative data. Quantitative

More information

Describing Data. Presenting Categorical Data Graphically. Describing Data 143

Describing Data. Presenting Categorical Data Graphically. Describing Data 143 Describing Data 143 Describing Data Once we have collected data from surveys or experiments, we need to summarize and present the data in a way that will be meaningful to the reader. We will begin with

More information

Office 2016 Excel Basics 24 Video/Class Project #36 Excel Basics 24: Visualize Quantitative Data with Excel Charts. No Chart Junk!!!

Office 2016 Excel Basics 24 Video/Class Project #36 Excel Basics 24: Visualize Quantitative Data with Excel Charts. No Chart Junk!!! Office 2016 Excel Basics 24 Video/Class Project #36 Excel Basics 24: Visualize Quantitative Data with Excel Charts. No Chart Junk!!! Goal in video # 24: Learn about how to Visualize Quantitative Data with

More information

3. Data and sampling. Plan for today

3. Data and sampling. Plan for today 3. Data and sampling Business Statistics Plan for today Reminders and introduction Data: qualitative and quantitative Quantitative data: discrete and continuous Qualitative data discussion Samples and

More information

Chapter 1: Stats Starts Here Chapter 2: Data

Chapter 1: Stats Starts Here Chapter 2: Data Chapter 1: Stats Starts Here Chapter 2: Data Statistics data, datum variation individual respondent subject participant experimental unit observation variable categorical quantitative Calculator Skills:

More information

TOPIC 4 GRAPHICAL PRESENTATION

TOPIC 4 GRAPHICAL PRESENTATION TOPIC 4 GRAPHICAL PRESENTATION Public agencies are very keen on amassing statistics they collect them, raise them to the nth power, take the cube root, and prepare wonderful diagrams. But what you must

More information

This Chapter s Topics

This Chapter s Topics This Chapter s Topics Today, we re going to talk about three things: Frequency distributions Graphs Charts Frequency distributions, graphs, and charts 1 Frequency distributions Frequency distributions

More information

TJP TOP TIPS FOR IGCSE STATS & PROBABILITY

TJP TOP TIPS FOR IGCSE STATS & PROBABILITY TJP TOP TIPS FOR IGCSE STATS & PROBABILITY Dr T J Price, 2011 First, some important words; know what they mean (get someone to test you): Mean the sum of the data values divided by the number of items.

More information

SAMPLE. This chapter deals with the construction and interpretation of box plots. At the end of this chapter you should be able to:

SAMPLE. This chapter deals with the construction and interpretation of box plots. At the end of this chapter you should be able to: find the upper and lower extremes, the median, and the upper and lower quartiles for sets of numerical data calculate the range and interquartile range compare the relative merits of range and interquartile

More information

Purpose. Charts and graphs. create a visual representation of the data. make the spreadsheet information easier to understand.

Purpose. Charts and graphs. create a visual representation of the data. make the spreadsheet information easier to understand. Purpose Charts and graphs are used in business to communicate and clarify spreadsheet information. convert spreadsheet information into a format that can be quickly and easily analyzed. make the spreadsheet

More information

Decide how many topics you wish to revise at a time (let s say 10)

Decide how many topics you wish to revise at a time (let s say 10) 1 Minute Maths for the Higher Exam (grades B, C and D topics*) Too fast for a first-time use but... brilliant for topics you have already understood and want to quickly revise. for the Foundation Exam

More information

A Visual Display. A graph is a visual display of information or data. This is a graph that shows a girl walking her dog. Communicating with Graphs

A Visual Display. A graph is a visual display of information or data. This is a graph that shows a girl walking her dog. Communicating with Graphs A Visual Display A graph is a visual display of information or data. This is a graph that shows a girl walking her dog. A Visual Display The horizontal axis, or the x-axis, measures time. Time is the independent

More information

Find the following for the Weight of Football Players. Sample standard deviation n=

Find the following for the Weight of Football Players. Sample standard deviation n= Find the following for the Weight of Football Players x Sample standard deviation n= Fun Coming Up! 3-3 Measures of Position Z-score Percentile Quartile Outlier Bluman, Chapter 3 3 Measures of Position:

More information

PASS Sample Size Software

PASS Sample Size Software Chapter 945 Introduction This section describes the options that are available for the appearance of a histogram. A set of all these options can be stored as a template file which can be retrieved later.

More information

BE540 - Introduction to Biostatistics Computer Illustration. Topic 1 Summarizing Data Software: STATA. A Visit to Yellowstone National Park, USA

BE540 - Introduction to Biostatistics Computer Illustration. Topic 1 Summarizing Data Software: STATA. A Visit to Yellowstone National Park, USA BE540 - Introduction to Biostatistics Computer Illustration Topic 1 Summarizing Data Software: STATA A Visit to Yellowstone National Park, USA Source: Chatterjee, S; Handcock MS and Simonoff JS A Casebook

More information

Statistics. Graphing Statistics & Data. What is Data?. Data is organized information. It can be numbers, words, measurements,

Statistics. Graphing Statistics & Data. What is Data?. Data is organized information. It can be numbers, words, measurements, Statistics Graphing Statistics & Data What is Data?. Data is organized information. It can be numbers, words, measurements, observations or even just descriptions of things. Qualitative vs Quantitative.

More information

Chapter 4. Displaying and Summarizing Quantitative Data. Copyright 2012, 2008, 2005 Pearson Education, Inc.

Chapter 4. Displaying and Summarizing Quantitative Data. Copyright 2012, 2008, 2005 Pearson Education, Inc. Chapter 4 Displaying and Summarizing Quantitative Data Copyright 2012, 2008, 2005 Pearson Education, Inc. Dealing With a Lot of Numbers Summarizing the data will help us when we look at large sets of quantitative

More information

Sidcot intranet - Firefly. Useful links: Instant classroom. MyMaths. Objectives

Sidcot intranet - Firefly. Useful links: Instant classroom. MyMaths. Objectives Useful links: Sidcot intranet - Firefly Instant classroom MyMaths Objectives Objectives To revise scatter graphs To use them to make estimations Scatter Graphs Revision powerpoint Now make some revision

More information

Section 1: Data (Major Concept Review)

Section 1: Data (Major Concept Review) Section 1: Data (Major Concept Review) Individuals = the objects described by a set of data variable = characteristic of an individual weight height age IQ hair color eye color major social security #

More information

ESSENTIAL MATHEMATICS 1 WEEK 17 NOTES AND EXERCISES. Types of Graphs. Bar Graphs

ESSENTIAL MATHEMATICS 1 WEEK 17 NOTES AND EXERCISES. Types of Graphs. Bar Graphs ESSENTIAL MATHEMATICS 1 WEEK 17 NOTES AND EXERCISES Types of Graphs Bar Graphs Bar graphs are used to present and compare data. There are two main types of bar graphs: horizontal and vertical. They are

More information

Sections Descriptive Statistics for Numerical Variables

Sections Descriptive Statistics for Numerical Variables Math 243 Sections 2.1.2-2.2.5 Descriptive Statistics for Numerical Variables A framework to describe quantitative data: Describe the Shape, Center and Spread, and Unusual Features Shape How is the data

More information

Microsoft Excel: Data Analysis & Graphing. College of Engineering Engineering Education Innovation Center

Microsoft Excel: Data Analysis & Graphing. College of Engineering Engineering Education Innovation Center Microsoft Excel: Data Analysis & Graphing College of Engineering Engineering Education Innovation Center Objectives Use relative, absolute, and mixed cell referencing Identify the types of graphs and their

More information

Univariate Descriptive Statistics

Univariate Descriptive Statistics Univariate Descriptive Statistics Displays: pie charts, bar graphs, box plots, histograms, density estimates, dot plots, stemleaf plots, tables, lists. Example: sea urchin sizes Boxplot Histogram Urchin

More information

How to define Graph in HDSME

How to define Graph in HDSME How to define Graph in HDSME HDSME provides several chart/graph options to let you analyze your business in a visual format (2D and 3D). A chart/graph can display a summary of sales, profit, or current

More information

The numbers are...,..., ...,...,...,...,...,

The numbers are...,..., ...,...,...,...,..., Stem and leaf diagrams 1. 2. 3. Stem Leaf Stem Leaf Stem Leaf 2 3 4 5 1 3 6 9 0 4 4 5 5 6 3 The numbers are 21, 23, 0 1 2 3 2 6 8 3 4 5 8 1 2 4 0 5 The numbers are...,..., 88 89 90 91 7 0 8 9 1 3 5 6 9

More information

Mrs. Ambre s Math Notebook

Mrs. Ambre s Math Notebook Mrs. Ambre s Math Notebook Almost everything you need to know for 7 th grade math Plus a little about 6 th grade math And a little about 8 th grade math 1 Table of Contents by Outcome Outcome Topic Page

More information

Scientific Communication and visual reasoning. presentation for Institute for Leadership in Technology and Management July 5, 1999 Dan Little

Scientific Communication and visual reasoning. presentation for Institute for Leadership in Technology and Management July 5, 1999 Dan Little Scientific Communication and visual reasoning presentation for Institute for Leadership in Technology and Management July 5, 1999 Dan Little Edward Tufte, theorist of scientific graphics A political scientist

More information

Unit 3 - Data STUDY GUIDE - WORKSHEET #11

Unit 3 - Data STUDY GUIDE - WORKSHEET #11 Class: Date: Unit 3 - Data STUDY GUIDE - WORKSHEET #11 1. (1 point) 8.5, 7.9, 8.4, 7.7, 8.5, 7.9, 8.9, 8.2 a. mean: 8.25 median: 8.1 mode: 8.5 range: 1.2 b. mean: 8.25 median: 8.1 modes: 7.9, 8.5 range:

More information

TO PLOT OR NOT TO PLOT?

TO PLOT OR NOT TO PLOT? Graphic Examples This document provides examples of a number of graphs that might be used in understanding or presenting data. Comments with each example are intended to help you understand why the data

More information

AP Statistics Composition Book Review Chapters 1 2

AP Statistics Composition Book Review Chapters 1 2 AP Statistics Composition Book Review Chapters 1 2 Terms/vocabulary: Explain each term with in the STATISTICAL context. Bar Graph Bimodal Categorical Variable Density Curve Deviation Distribution Dotplot

More information

Key Stage 3 Mathematics. Common entrance revision

Key Stage 3 Mathematics. Common entrance revision Key Stage 3 Mathematics Key Facts Common entrance revision Number and Algebra Solve the equation x³ + x = 20 Using trial and improvement and give your answer to the nearest tenth Guess Check Too Big/Too

More information

TEXTUAL PRESENTATION OF DATA

TEXTUAL PRESENTATION OF DATA Presentation of Data Studying this chapter should enable you to: present data using tables; represent data using appropriate diagrams. 1. INTRODUCTION You have already learnt in previous chapters how data

More information

Line Graphs. Name: The independent variable is plotted on the x-axis. This axis will be labeled Time (days), and

Line Graphs. Name: The independent variable is plotted on the x-axis. This axis will be labeled Time (days), and Name: Graphing Review Graphs and charts are great because they communicate information visually. For this reason graphs are often used in newspapers, magazines, and businesses around the world. Sometimes,

More information

Presentation of Data CHAPTER 2. TEXTUAL PRESENTATION OF DATA 1. INTRODUCTION

Presentation of Data CHAPTER 2. TEXTUAL PRESENTATION OF DATA 1. INTRODUCTION CHAPTER Presentation of Data Studying this chapter should enable you to: present data using tables; represent data using appropriate diagrams. 1. INTRODUCTION You have already learnt in previous chapters

More information

GRAPHS & CHARTS. Prof. Rahul C. Basole CS/MGT 8803-DV > January 23, 2017 INFOVIS 8803DV > SPRING 17

GRAPHS & CHARTS. Prof. Rahul C. Basole CS/MGT 8803-DV > January 23, 2017 INFOVIS 8803DV > SPRING 17 GRAPHS & CHARTS Prof. Rahul C. Basole CS/MGT 8803-DV > January 23, 2017 HW2: DataVis Examples Tumblr 47 students = 47 VIS of the Day submissions Random Order We will start next week Stay tuned Tufte Seminar

More information

Descriptive Statistics II. Graphical summary of the distribution of a numerical variable. Boxplot

Descriptive Statistics II. Graphical summary of the distribution of a numerical variable. Boxplot MAT 2379 (Spring 2012) Descriptive Statistics II Graphical summary of the distribution of a numerical variable We will present two types of graphs that can be used to describe the distribution of a numerical

More information

Learning Log Title: CHAPTER 2: ARITHMETIC STRATEGIES AND AREA. Date: Lesson: Chapter 2: Arithmetic Strategies and Area

Learning Log Title: CHAPTER 2: ARITHMETIC STRATEGIES AND AREA. Date: Lesson: Chapter 2: Arithmetic Strategies and Area Chapter 2: Arithmetic Strategies and Area CHAPTER 2: ARITHMETIC STRATEGIES AND AREA Date: Lesson: Learning Log Title: Date: Lesson: Learning Log Title: Chapter 2: Arithmetic Strategies and Area Date: Lesson:

More information

What Is a Histogram? A bar graph that shows the distribution of data A snapshot of data taken from a process HISTOGRAM VIEWGRAPH 1

What Is a Histogram? A bar graph that shows the distribution of data A snapshot of data taken from a process HISTOGRAM VIEWGRAPH 1 What Is a Histogram? 100 80 60 40 20 0 0 5 10 15 20 25 30 35 40 45 50 55 60 A bar graph that shows the distribution of data A snapshot of data taken from a process HISTOGRAM VIEWGRAPH 1 When Are Histograms

More information

DIAGRAMMATIC AND GRAPHIC PRESENTATION

DIAGRAMMATIC AND GRAPHIC PRESENTATION UNIT 7 DIAGRAMMATIC AND GRAPHIC PRESENTATION STRUCTURE 7.0 Objectives 7.1 Introduction 7.2 Importance of Visual Presentation of Data 7.3 Diagrammatic Presentation 7.3.1 Rules for Preparing Diagrams 7.4

More information

Using Figures - The Basics

Using Figures - The Basics Using Figures - The Basics by David Caprette, Rice University OVERVIEW To be useful, the results of a scientific investigation or technical project must be communicated to others in the form of an oral

More information

Biggar High School Mathematics Department. S1 Block 1. Revision Booklet GOLD

Biggar High School Mathematics Department. S1 Block 1. Revision Booklet GOLD Biggar High School Mathematics Department S1 Block 1 Revision Booklet GOLD Contents MNU 3-01a MNU 3-03a MNU 3-03b Page Whole Number Calculations & Decimals 3 MTH 3-05b MTH 3-06a MTH 4-06a Multiples, Factors,

More information

Name: Date: Class: Lesson 3: Graphing. a. Useful for. AMOUNT OF HEAT PRODUCED IN KJ. b. Difference between a line graph and a scatter plot:

Name: Date: Class: Lesson 3: Graphing. a. Useful for. AMOUNT OF HEAT PRODUCED IN KJ. b. Difference between a line graph and a scatter plot: AMOUNT OF HEAT PRODUCED IN KJ NOTES Name: Date: Class: Lesson 3: Graphing Types of Graphs 1. Bar Graph a. Useful for. b. Helps us see quickly. Heat Produced Upon Mixture of Different Acids into Water 90

More information

Tennessee Senior Bridge Mathematics

Tennessee Senior Bridge Mathematics A Correlation of to the Mathematics Standards Approved July 30, 2010 Bid Category 13-130-10 A Correlation of, to the Mathematics Standards Mathematics Standards I. Ways of Looking: Revisiting Concepts

More information

Data Presentation. Esra Akdeniz. February 12th, 2016

Data Presentation. Esra Akdeniz. February 12th, 2016 Data Presentation Esra Akdeniz February 12th, 2016 HOW TO DO RESEARCH? Question. Literature research. Hypothesis. Collect data. Analyze data. Interpret and present results. HOW TO DO RESEARCH? Analyze

More information

1.1 Displaying Distributions with Graphs, Continued

1.1 Displaying Distributions with Graphs, Continued 1.1 Displaying Distributions with Graphs, Continued Ulrich Hoensch Thursday, January 10, 2013 Histograms Constructing a frequency table involves breaking the range of values of a quantitative variable

More information

How to Make a Run Chart in Excel

How to Make a Run Chart in Excel How to Make a Run Chart in Excel While there are some statistical programs that you can use to make a run chart, it is simple to make in Excel, using Excel s built-in chart functions. The following are

More information

EE EXPERIMENT 3 RESISTIVE NETWORKS AND COMPUTATIONAL ANALYSIS INTRODUCTION

EE EXPERIMENT 3 RESISTIVE NETWORKS AND COMPUTATIONAL ANALYSIS INTRODUCTION EE 2101 - EXPERIMENT 3 RESISTIVE NETWORKS AND COMPUTATIONAL ANALYSIS INTRODUCTION The resistors used in this laboratory are carbon composition resistors, consisting of graphite or some other type of carbon

More information

AWM 11 UNIT 1 WORKING WITH GRAPHS

AWM 11 UNIT 1 WORKING WITH GRAPHS AWM 11 UNIT 1 WORKING WITH GRAPHS Assignment Title Work to complete Complete 1 Introduction to Statistics Read the introduction no written assignment 2 Bar Graphs Bar Graphs 3 Double Bar Graphs Double

More information

Graphing Guidelines. Controlled variables refers to all the things that remain the same during the entire experiment.

Graphing Guidelines. Controlled variables refers to all the things that remain the same during the entire experiment. Graphing Graphing Guidelines Graphs must be neatly drawn using a straight edge and pencil. Use the x-axis for the manipulated variable and the y-axis for the responding variable. Manipulated Variable AKA

More information

Let s examine this situation further by preparing a scatter plot with our graphing calculator:

Let s examine this situation further by preparing a scatter plot with our graphing calculator: Name Directions: 1. Start with one 8 ½ by 11 sheet of paper. 2. Hold the paper vertically and fold the paper in half. 3. Unfold the paper. Count the number of smallest rectangles seen. 4. Record your finding

More information

VISUAL INFORMATION DESIGN ASSIGNMENT 1 ALISTAIR DARK

VISUAL INFORMATION DESIGN ASSIGNMENT 1 ALISTAIR DARK VISUAL INFORMATION DESIGN ASSIGNMENT 1 ALISTAIR DARK 1 This document supports three information visualisations for the use of ambassadors of Reef Check Australia. INTRODUCTION Firstly, for context, we

More information

Table 1. List of NFL divisions that have won the Superbowl over the past 52 years.

Table 1. List of NFL divisions that have won the Superbowl over the past 52 years. MA 2113 Homework #1 Table 1. List of NFL divisions that have won the Superbowl over the past 52 years. NFC North AFC West NFC East NFC North AFC South NFC North NFC East NFC East AFC West NFC East AFC

More information

GCSE MATHEMATICS 43601H. Higher Tier Unit 1 Statistics and Number. Morning. (JUN H01) WMP/Jun16/E4

GCSE MATHEMATICS 43601H. Higher Tier Unit 1 Statistics and Number. Morning. (JUN H01) WMP/Jun16/E4 Please write clearly in block capitals. Centre number Candidate number Surname Forename(s) Candidate signature GCSE H MATHEMATICS Higher Tier Unit 1 Statistics and Number Thursday 26 May 2016 Materials

More information

Algebra I. Measures of Central Tendency: Mean, Median, Mode & Additional Measures of Data. Slide 1 / 141 Slide 2 / 141. Slide 4 / 141.

Algebra I. Measures of Central Tendency: Mean, Median, Mode & Additional Measures of Data. Slide 1 / 141 Slide 2 / 141. Slide 4 / 141. Slide 1 / 141 Slide 2 / 141 lgebra I ata & Statistical nalysis 2015-11-25 www.njctl.org Slide 3 / 141 Slide 4 / 141 Table of ontents lick on the topic to go to that section Measures of entral Tendency

More information