Chapter 3: Displaying and Describing Categorical Data Sarah Lovelace and Alison Vicary Period 2.

Slides:



Advertisements
Similar presentations
Data Analysis for Two-Way Tables
Advertisements

Displaying and Describing Categorical Data 60 min.
Introduction to Stats Honors Analysis. Data Analysis Individuals: Objects described by a set of data. (Ex: People, animals, things) Variable: Any characteristic.
Displaying & Describing Categorical Data Chapter 3.
Exploring Two Categorical Variables: Contingency Tables
Slide Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Chapter 3 Displaying and Describing Categorical Data.
The Three Rules of Data Analysis
AP STATISTICS Section 4.2 Relationships between Categorical Variables.
CHAPTER 1 STATISTICS Statistics is a way of reasoning, along with a collection of tools and methods, designed to help us understand the world.
Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Chapter 3 Displaying and Describing Categorical Data.
Copyright © 2012 Pearson Education. Chapter 4 Displaying and Describing Categorical Data.
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.
Chi-square test or c2 test
Chapter 3 Addie Molique, Ash Nair Displaying and Describing Categorical Data.
Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide 3- 1.
Chapter 2 DISPLAYING AND DESCRIBING CATEGORICAL DATA.
Unit 3 Relations in Categorical Data. Looking at Categorical Data Grouping values of quantitative data into specific classes We use counts or percents.
CHAPTER 6: Two-Way Tables. Chapter 6 Concepts 2  Two-Way Tables  Row and Column Variables  Marginal Distributions  Conditional Distributions  Simpson’s.
Data Analysis for Two-Way Tables. The Basics Two-way table of counts Organizes data about 2 categorical variables Row variables run across the table Column.
Chapter 3: Displaying and Describing Categorical Data *Data Analysis *Frequency Tables, Bar Charts, Pie Charts Contingency Tables.
Two-way tables BPS chapter 6 © 2006 W. H. Freeman and Company.
Analysis of two-way tables - Data analysis for two-way tables IPS chapter 2.6 © 2006 W.H. Freeman and Company.
Copyright © 2010, 2007, 2004 Pearson Education, Inc. - use pie charts, bar graphs, and tables to display data Chapter 3: Displaying and Describing Categorical.
BPS - 3rd Ed. Chapter 61 Two-Way Tables. BPS - 3rd Ed. Chapter 62 u In this chapter we will study the relationship between two categorical variables (variables.
Stat1510: Statistical Thinking and Concepts Two Way Tables.
Two-Way Tables Categorical Data. Chapter 4 1.  In this chapter we will study the relationship between two categorical variables (variables whose values.
1 Chapter 3 Displaying and Describing Categorical Data.
Chapter 6 Two-Way Tables BPS - 5th Ed.Chapter 61.
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.
BPS - 3rd Ed. Chapter 61 Two-Way Tables. BPS - 3rd Ed. Chapter 62 u In prior chapters we studied the relationship between two quantitative variables with.
Chapter 3 Lesson 3.1 Graphical Methods for Describing Data 3.1: Displaying Categorical Data.
Chapter 6 EPS Due 11/06/15.
Categorical Data! Frequency Table –Records the totals (counts or percentage of observations) for each category. If percentages are shown, it is a relative.
Chapter 1.1 – Analyzing Categorical Data A categorical variable places individuals into one of several groups of categories. A quantitative variable takes.
Displaying & Describing Categorical Data Chapter 3.
Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide 3- 1.
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.
Copyright © 2009 Pearson Education, Inc. Chapter 3 Displaying and Describing Categorical Data.
1.1 ANALYZING CATEGORICAL DATA. FREQUENCY TABLE VS. RELATIVE FREQUENCY TABLE.
Displaying and Describing Categorical Data
Displaying and Describing Categorical Data Chapter 3.
Chi-square test or c2 test
Displaying and Describing Categorical Data
Displaying and Describing Categorical Data
The Practice of Statistics in the Life Sciences Third Edition
AP Statistics Chapter 3 Part 3
Displaying and Describing Categorical Data
Chapter 3: Displaying and Describing Categorical Data
Displaying and Describing Categorical Data
Analysis of two-way tables - Data analysis for two-way tables
The Practice of Statistics in the Life Sciences Fourth Edition
Data Analysis for Two-Way Tables
Displaying and Describing Categorical Data
Displaying and Describing Categorical Data
Displaying and Describing Categorical Data
Chapter 1 Data Analysis Section 1.1 Analyzing Categorical Data.
Displaying and Describing Categorical Data
Displaying and Describing Categorical Data
Displaying and Describing Categorical Data
Displaying and Describing Categorical Data
Relations in Categorical Data
Displaying and Describing Categorical Data
Presentation transcript:

Chapter 3: Displaying and Describing Categorical Data Sarah Lovelace and Alison Vicary Period 2

● Frequency table: table with category names and counts of totals for each category o gives frequencies that each category occurs ● Relative frequency table: frequency table with percentage each category occurs out of the total number of events/items o If all possible categories are given, relative frequencies (percents) should add up to 100%. o Makes it easier to compare two tables with the same categories but different overall totals ● Distribution: Distribution of a variable describes the variable’s possible values and the relative frequency of each value. o can be seen in a relative frequency table Vocabulary

● Area principle: The area occupied by a part of the graph should correspond to the size of the value it represents. ● Bar chart: displays the distribution of a categorical variable using bars o Allows visual comparison of frequencies o Has small spaces between the bars o Could be a relative frequency bar chart ● Pie chart: displays the distribution of variable with slices of a circle proportional to the categories’ relative frequencies o must include piece of circle for all categories so relative frequencies add up to 100% Vocabulary

● Contingency table: table with counts or percentages of individuals falling into categories of multiple variables o Shows number of individuals in a category, contingent on being in another category o Percents can be included in each cell, giving percent of row, column, or entire table o Marginal distribution: frequency distribution of a single variable from a contingency table  may be written in the margin of the contingency table with totals o Conditional distribution: distribution of one variable just for individuals that satisfy a condition of another variable  Example: distribution of grade level, conditional on being in Statistics  Segmented bar chart: bars for each category are divided into segments with sizes proportional to the relative frequencies of another variable conditional on being in that bar’s category Vocabulary

● Independence: Variables are considered independent if the distribution of one variable is the same for all categories of the other o See if variables are independent by comparing conditional distributions of one variable for each value of the the other ● Simpson’s paradox: happens when averages taken across different groups seem to contradict the overall averages o Better to compare percentages or averages of one variable within each category of the other instead of finding the overall average Vocabulary

In July 1991 and again in April 2001 the Gallup Poll asked random samples of 1015 adults about their opinions on working parents. The table summarizes responses to this question: “Considering the needs of both parents and children, which of the following do you see as the ideal family in today’s society?” Based upon these results, do you think there was a change in people’s attitudes during the 10 years between these polls? Explain. Problem 29 (page 41)

Problem 29, continued Both work full time One works full time, other part time One works, other works at home One works, other stays home for kids No opinion51

Relative frequency table: percent of total responses Problem 29, continued Both work full time14.0%12.9% One works full time, other part time27.0%24.0% One works, other works at home15.0%17.0% One works, other stays home for kids39.0%41.0% No opinion5.0%

Relative frequency bar chart Problem 29, continued

Answer: People’s opinions about working parents and the ideal family did not change over the 10 years from 1991 to Slight differences between relative frequencies of the two years are minimal and may be attributed to sampling variability. Problem 29, continued

A company held a blood pressure screening clinic for its employees. The results are summarized in the table below by age group and blood pressure level. a.Find the marginal distribution of blood pressure level. b.Find the conditional distribution of blood pressure level within each group. c.Compare these distributions with a segmented bar graph. d.Write a brief description of the association between age and blood pressure among these employees. e.Does this prove that people’s blood pressure increases as they age? Explain. Problem 31 (page 41) Under Over 50 Low Normal High235173

Problem 31, continued Under Over 50Total LowCount % of Row % of Column % of Table % 27.6% 5.7% % 20.7% 7.8% % 15.7% 6.5% % 20.0% NormalCount % of Row % of Column % of Table % 49.0% 10.1% % 50.8% 19.2% % 47.2% 19.6% % 48.9% HighCount % of Row % of Column % of Table % 23.5% 4.9% % 28.5% 10.8% % 37.1% 15.4% % 31.0% TotalCount % of Row % of Column % of Table % 100% 20.7% % 100% 37.8% % 100% 41.6% %

Problem 31, continued Under Over 50Total Low % % % % Under Over 50Total Normal % % % % Under Over 50Total High % % % %

Problem 31, continued

d.with an increase in age, there is also an increase in blood pressure. The numbers for high and low blood pressure are fairly equal with lower age, but as age increases, the percentage of adults with low blood pressure falls and the percentage of adults with high blood pressure. e.No, these data do not necessarily prove that blood pressure increases with age. They indicate that there is a possibility that they are related, but there may be a lurking variable leading to higher blood pressure with increased age. Problem 31, continued