Statistical Analysis for Business & Economics: Summer 2010 Statistical Analysis for Business & Economics: Spring 2011 STATISTICAL ANALYSIS FOR BUS & ECON.

Slides:

Advertisements

Similar presentations

Frequency Distributions and Graphs

Advertisements

Frequency Distributions and Graphs

Chapter 2 Describing Data: Graphical

1 Business 90: Business Statistics Professor David Mease Sec 03, T R 7:30-8:45AM BBC 204 Lecture 5 = More of Chapter “Presenting Data in Tables and Charts”

© 2002 Prentice-Hall, Inc.Chap 2-1 Basic Business Statistics (8 th Edition) Chapter 2 Presenting Data in Tables and Charts.

Chapter 2 Presenting Data in Tables and Charts

Creating a Histogram using the Histogram Function.

Chapter 2 Presenting Data in Tables and Charts

Ch. 2: The Art of Presenting Data Data in raw form are usually not easy to use for decision making. Some type of organization is needed Table and Graph.

Chapter 2 Graphs, Charts, and Tables – Describing Your Data

Statistics for Managers Using Microsoft Excel, 5e © 2008 Pearson Prentice-Hall, Inc.Chap 2-1 Statistics for Managers Using Microsoft® Excel 5th Edition.

Business 90: Business Statistics

PPA 415 – Research Methods in Public Administration Lecture 2 - Counting and Charting Responses.

QM 1 - Intro to Quant Methods Graphical Descriptive Statistics Charts and Tables Dr. J. Affisco.

Is it what it is. Depending on the data type, we can use different types of display. When dealing with categorical (nominal) data we often use a.

Presentation of Data.

Statistics - Descriptive statistics 2013/09/23. Data and statistics Statistics is the art of collecting, analyzing, presenting, and interpreting data.

Graphical Displays of Data Section 2.2. Objectives Create and interpret the basic types of graphs used to display data.

Frequency Distributions and Graphs

Statistics 300: Introduction to Probability and Statistics Section 2-2.

How to build graphs, charts and plots. For Categorical data If the data is nominal, then: Few values: Pie Chart Many Values: Pareto Chart (order of bars.

Organizing Data. Displaying data in a chart is a good way of organizing your data, however GRAPHS are invaluable when it comes to organizing your data.

CHAPTER 2 Frequency Distributions and Graphs. 2-1Introduction 2-2Organizing Data 2-3Histograms, Frequency Polygons, and Ogives 2-4Other Types of Graphs.

STATISTICAL GRAPHS.

Frequency Distributions and Graphs

Frequency Distributions and Graphs

Statistics for Managers Using Microsoft Excel, 5e © 2008 Pearson Prentice-Hall, Inc.Chap 2-1 Statistics for Managers Using Microsoft® Excel 5th Edition.

© Copyright McGraw-Hill CHAPTER 2 Frequency Distributions and Graphs.

Chapter 2 Presenting Data in Tables and Charts. 2.1 Tables and Charts for Categorical Data Mutual Funds –Variables? Measurement scales? Four Techniques.

Histograms, Frequency Polygons Ogives

Copyright © 2015 The McGraw-Hill Companies, Inc. Permission required for reproduction or display. 1 C H A P T E R T W O Frequency Distributions and Graphs.

Basic Descriptive Statistics Percentages and Proportions Ratios and Rates Frequency Distributions: An Introduction Frequency Distributions for Variables.

Unit 2 Sections 2.1.

Basic Business Statistics Chapter 2:Presenting Data in Tables and Charts Assoc. Prof. Dr. Mustafa Yüzükırmızı.

Chap 2-1 Statistics for Business and Economics, 6e © 2007 Pearson Education, Inc. Chapter 2 Describing Data: Graphical Statistics for Business and Economics.

© The McGraw-Hill Companies, Inc., Chapter 2 Frequency Distributions and Graphs.

Business Statistics: A Decision-Making Approach, 6e © 2005 Prentice-Hall, Inc. Chap 2-1 Business Statistics: A Decision-Making Approach 6 th Edition Chapter.

1 STAT 500 – Statistics for Managers STAT 500 Statistics for Managers.

© 2003 Prentice-Hall, Inc.Chap 2-1 Chapter 2 Presenting Data in Tables and Charts Basic Business Statistics (9 th Edition)

Graphs, Charts and Tables Describing Your Data. Frequency Distributions.

Business Statistics, A First Course (4e) © 2006 Prentice-Hall, Inc. Chap 2-1 Chapter 2 Presenting Data in Tables and Charts Statistics For Managers 4 th.

Understanding Basic Statistics Chapter One Organizing Data.

Chap 2-1 A Course In Business Statistics, 4th © 2006 Prentice-Hall, Inc. A Course in Business Statistics 4 th Edition Chapter 2 Graphs, Charts, and Tables.

Chapter 11 Data Descriptions and Probability Distributions Section 1 Graphing Data.

Dr. Serhat Eren GRAPHICAL DISPLAYS OF DATA Graphical Displays for Qualitative Data There are two methods that you can use to display qualitative.

© Copyright McGraw-Hill CHAPTER 2 Frequency Distributions and Graphs.

Basic Business Statistics, 11e © 2009 Prentice-Hall, Inc. Chap 2-1 Chapter 2 Presenting Data in Tables and Charts Basic Business Statistics 11 th Edition.

Chapter 3: Organizing Data. Raw data is useless to us unless we can meaningfully organize and summarize it (descriptive statistics). Organization techniques.

2- 1 Chapter Two McGraw-Hill/Irwin © 2006 The McGraw-Hill Companies, Inc., All Rights Reserved.

Presenting Data in Charts, Graphs and Tables #1-8-1.

Histograms, Frequency Polygons, and Ogives. What is a histogram?  A graphic representation of the frequency distribution of a continuous variable. Rectangles.

Histograms, Frequency Polygons, and Ogives

MM07 Statistics Welcome to the Unit 3 Seminar Dr. Bob.

Chapter 2 Frequency Distributions and Graphs 1 Copyright © 2012 The McGraw-Hill Companies, Inc. Permission required for reproduction or display.

How to build graphs, charts and plots. For Categorical data If the data is nominal, then: Few values: Pie Chart Many Values: Pareto Chart (order of bars.

Frequency Distributions and Graphs. Organizing Data 1st: Data has to be collected in some form of study. When the data is collected in its’ original form.

Statistics and Organization of Data Statistics: The gathering, organizing, analyzing, and presentation of numerical information Variable: Any particular.

Chapter 2 Describing Data: Graphical

Describing, Exploring and Comparing Data

BUSINESS MATHEMATICS & STATISTICS.

Frequency Distributions and Graphs

Chapter 2 Describing Data: Graphical

Chapter 2 Presenting Data in Tables and Charts

Frequency Distributions and Graphs

Lecture 3 part-2: Organization and Summarization of Data

Organizing and Visualizing Data

បំណែងចែកប្រេកង់ និងក្រាភិច

Chapter 3 Visual Display of Data.

Presentation of Data.

Presentation transcript:

Statistical Analysis for Business & Economics: Summer 2010 Statistical Analysis for Business & Economics: Spring 2011 STATISTICAL ANALYSIS FOR BUS & ECON Chapter 2: Tables and Graphs E370 Spring 2016

Statistical Analysis for Business & Economics: Summer 2010 Statistical Analysis for Business & Economics: Spring 2011 Objectives Be able to distinguish different kinds and types of data Be able to choose the best graphical presentations for different kinds of data Be able to use Excel to draw them 2 Statistical Analysis for Business & Economics: Spring 2016

Statistical Analysis for Business & Economics: Summer 2010 Statistical Analysis for Business & Economics: Spring 2011 Information contained in data is valuable A survey asks students to identify which laptop brand they have purchased. The responses are 1. HP 2. Toshiba 3. Apple 4. Dell 5. Other 3 Statistical Analysis for Business & Economics: Spring 2016 Response Visualize it!

Statistical Analysis for Business & Economics: Summer 2010 Statistical Analysis for Business & Economics: Spring 2011 DataData TypesAppropriate Graphs Numerical Discrete (e.g. number of kids) Continuous (e.g. Length of a song) Histogram (no gaps between columns) Frequency Polygon Ogive (cumulative frequencies) Categorical Nominal (e.g. eyes color: blue/black/brown) Ordinal (e.g. Restaurant rankings: very good/good/fine/bad) Pie Chart Column/Bar chart Pareto Diagram (has the order) Theory Statistical Analysis for Business & Economics: Spring 2016

Statistical Analysis for Business & Economics: Summer 2010 Statistical Analysis for Business & Economics: Spring 2011 Graphical Techniques for Numerical Data Statistical Analysis for Business & Economics: Spring 2016 Decide the number of classes. Decide the class intervals and set class limits Enter the bin range (right open intervals) Close the column gaps.

Statistical Analysis for Business & Economics: Summer 2010 Statistical Analysis for Business & Economics: Spring 2011 Graphical Techniques for Numerical Data Statistical Analysis for Business & Economics: Spring 2016 A line version of the histogram Plotted using class midpoints Best way to represent several variables on the same axes. The look of the data is easily influenced by the classes selected. That is, it shares the same problems as histogram

Statistical Analysis for Business & Economics: Summer 2010 Statistical Analysis for Business & Economics: Spring 2011 Graphical Techniques for Numerical Data Statistical Analysis for Business & Economics: Spring 2016 A line version of cumulative frequencies Plotted using upper class limits and frequencies Non-decreasing graph, always begins at (0,0)

Statistical Analysis for Business & Economics: Summer 2010 Statistical Analysis for Business & Economics: Spring 2011 Graphical Techniques for Categorical Data 8 Statistical Analysis for Business & Economics: Spring 2016 Good for relative comparisons among categories. If there is a large number of categories or frequencies are small, it may not be informative.

Statistical Analysis for Business & Economics: Summer 2010 Statistical Analysis for Business & Economics: Spring 2011 Graphical Techniques for Categorical Data 9 Statistical Analysis for Business & Economics: Spring 2016 Bar chart is also used for relative comparisons among categories. It is useful when there is a large number of categories or frequencies are small.

Statistical Analysis for Business & Economics: Summer 2010 Statistical Analysis for Business & Economics: Spring 2011 Graphical Techniques for Categorical Data 10 Statistical Analysis for Business & Economics: Spring 2016 Only useful on non-numerical data. If there are lots of categories, it rapidly pinpoints the important groups. Designed to separate the important few from the trivial many

Statistical Analysis for Business & Economics: Summer 2010 Statistical Analysis for Business & Economics: Spring 2011 If you are doing a presentation to Apple Statistical Analysis for Business & Economics: Spring 2016 What graph to include? What information to highlight?