Chapter 3: Displaying and Describing Categorical Data *Data Analysis *Frequency Tables, Bar Charts, Pie Charts Contingency Tables.

Slides:



Advertisements
Similar presentations
Displaying and Describing Categorical Data 60 min.
Advertisements

Introduction to Stats Honors Analysis. Data Analysis Individuals: Objects described by a set of data. (Ex: People, animals, things) Variable: Any characteristic.
So What Do We Know? Variables can be classified as qualitative/categorical or quantitative. The context of the data we work with is very important. Always.
Displaying & Describing Categorical Data Chapter 3.
Copyright © 2013, 2009, and 2007, Pearson Education, Inc. Chapter 2 Exploring Data with Graphs and Numerical Summaries Section 2.2 Graphical Summaries.
Statistics: Categorical Variables. Do Now:  Give the context/ label the variables for the following situation:  The Federal Aviation Administration.
Chapter 3 Graphical and Numerical Summaries of Categorical Data UNIT OBJECTIVES At the conclusion of this unit you should be able to: n 1)Construct graphs.
18 students are seniors. What percent of the team are seniors?
Chapter 3 Graphical and Numerical Summaries of Qualitative Data UNIT OBJECTIVES At the conclusion of this unit you should be able to: n 1)Construct graphs.
Slide Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Chapter 3 Displaying and Describing Categorical Data.
The Three Rules of Data Analysis
Displaying Distributions With Graphs Section 1.1.
Chapter 3 Graphical and Numerical Summaries of Qualitative Data UNIT OBJECTIVES At the conclusion of this unit you should be able to: n 1)Construct graphs.
CHAPTER 1 STATISTICS Statistics is a way of reasoning, along with a collection of tools and methods, designed to help us understand the world.
. Chapter 3 Displaying and Describing Categorical Data.
Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Chapter 3 Displaying and Describing Categorical Data.
Graphs Graphs are used to display data. They visually represent relationships between data. All graphs should have a title that identifies the variables.
Copyright © 2010 Pearson Education, Inc. Chapter 3 Displaying and Describing Categorical Data.
1-1 Copyright © 2015, 2010, 2007 Pearson Education, Inc. Chapter 2, Slide 1 Chapter 2 Displaying and Describing Categorical Data.
Do Now Have you: Read Harry Potter and the Deathly Hallows Seen Harry Potter and the Deathly Hallows (part 2)
Displaying & Describing Categorical Data Chapter 3.
1-1 Copyright © 2015, 2010, 2007 Pearson Education, Inc. Chapter 2, Slide 1 Chapter 2 Displaying and Describing Categorical Data.
Chapter 3 Displaying and Describing Categorical Data
Chapters 1 and 2 Week 1, Monday. Chapter 1: Stats Starts Here What is Statistics? “Statistics is a way of reasoning, along with a collection of tools.
Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide 3- 1.
Chapter 2 DISPLAYING AND DESCRIBING CATEGORICAL DATA.
Displaying Categorical Data THINK SHOW TELL What is categorical data? Bar, Segmented Bar, and Pie Charts Frequency vs. Relative Frequency Tables/Charts.
Copyright © 2010, 2007, 2004 Pearson Education, Inc. - use pie charts, bar graphs, and tables to display data Chapter 3: Displaying and Describing Categorical.
What is the difference between categorical and quantitative data?
Chapter 2 Displaying and Describing Categorical Data UNIT OBJECTIVES At the conclusion of this unit you should be able to: n 1)Construct graphs that appropriately.
1 Chapter 3 Displaying and Describing Categorical Data.
UNIT #1 CHAPTERS BY JEREMY GREEN, ADAM PAQUETTEY, AND MATT STAUB.
Slide 3-1 Copyright © 2004 Pearson Education, Inc.
Categorical Data! Frequency Table –Records the totals (counts or percentage of observations) for each category. If percentages are shown, it is a relative.
Unit 2 Descriptive Statistics Objective: To correctly identify and display sets of data.
Bar Graphs, Pie Charts, and more.  The first thing we will discuss is the area principle, which basically states that each unit in our sample should.
Chapter 3 Displaying and Describing Categorical Data.
Displaying & Describing Categorical Data Chapter 3.
Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide 3- 1.
Objectives Given a contingency table of counts, construct a marginal distribution. Given a contingency table of counts, create a conditional distribution.
Copyright © 2008 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Unit 6, Module 15 – Two Way Tables (Part I) Categorical Data Comparing 2.
Chapter 3 Displaying and Describing Categorical Data Math2200.
1 Copyright © 2014, 2012, 2009 Pearson Education, Inc. Chapter 2 Displaying and Describing Categorical Data.
Copyright © 2009 Pearson Education, Inc. Chapter 3 Displaying and Describing Categorical Data.
Displaying and Describing Categorical Data
Displaying and Describing Categorical Data. The Three Rules of Data Analysis 1) Make a picture. 2) Make a picture. 3) Make a picture.
Displaying and Describing Categorical Data Chapter 3.
August 25,  Passengers on the Titanic by class of ticket. ClassCount 1 st nd rd th 885.
CATEGORICAL DATA CHAPTER 3 GET A CALCULATOR!. Slide 3- 2 THE THREE RULES OF DATA ANALYSIS won’t be difficult to remember: 1. Make a picture — things may.
Graphical and Numerical Summaries of Qualitative Data
Displaying and describing categorical data
Displaying and Describing Categorical Data
Displaying and Describing Categorical Data
CHAPTER 1 Exploring Data
Graphing.
Displaying and Describing Categorical Data
CATEGORICAL DATA CHAPTER 3
Displaying and Describing Categorical Data
Displaying and Describing Categorical Data
Displaying and Describing Categorical Data
On your white boards write down:
Displaying and Describing Categorical Data
Graphing.
Displaying and Describing Categorical Data
Displaying and Describing Categorical data
Displaying and Describing Categorical Data
Grab a post it note and place it in the correct bin for where you went to middle school
Displaying and Describing Categorical Data
Displaying and Describing Categorical Data
Presentation transcript:

Chapter 3: Displaying and Describing Categorical Data *Data Analysis *Frequency Tables, Bar Charts, Pie Charts Contingency Tables

Titanic  Who: People on the Titanic  What: survival status, age, sex, ticket class  When: April 14, 1912  Where: North Atlantic  How: A variety of sources and internet sites  Why: Historical interest

Data Analysis  Rule #1: Make a picture  a display of your data will revewal thins you are not likely to see in a table of numbers and will help you THINK clearly about the patterns and relationships that may be hiding in your data  Rule # 2: Make a picture  A well-designed display will SHOW the important features and patterns in your data. A picture will also show you the things you did not expect to see: the extraordinary (possibly wrong) data values or unexpected patterns  Rule # 3: Make a picture  The best way to TELL others about our data is with a well- chosen picture.

Picking a Display  Determine if your variable is categorical or quantitative  If categorical:  frequency tables  bar charts  pie charts  contingency tables  If quantitative:  wait till next chapter!

Frequency Tables  records the totals and the category names  Example: ClassCount First325 Second285 Third706 Crew885

Relative Frequency Table  displays the percentages and category names  Example: Class% First14.77 Second12.95 Third32.08 Crew40.21 Proportion: the fraction of data in each category (divide the counts by the total number of cases) Relative = Percent

Bar Charts  Displays the distribution of a categorical variable, showing the counts for each category next to each other for easy comparison.  Bars should be the same width  Bars should have spaces between them  Axis should both be labeled with a title and/or scale

Pie Charts  shows the whole group of cases as a circle. They slice the circle into pieces whose size is proportional to the fractions of the whole in each category.

Categorical Data Condition  The data are counts or percentages of individuals in categories.  Before you make a pie chart or a bar graph you must check this condition!!!