Day 21 AGENDA: Rev Ch 3 and 4.1---20 minutes Begin Ch 4.2.

Slides:



Advertisements
Similar presentations
Introduction to Stats Honors Analysis. Data Analysis Individuals: Objects described by a set of data. (Ex: People, animals, things) Variable: Any characteristic.
Advertisements

AP Statistics Section 4.2 Relationships Between Categorical Variables.
Concept Quiz Ch. 1-3 True/False
AP STATISTICS Section 4.2 Relationships between Categorical Variables.
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.
Relations and Categorical Data Target Goal: I can describe relationships among categorical data using two way tables. 1.1 cont. Hw: pg 24: 20, 21, 23,
Exploring Data Section 1.1 Analyzing Categorical Data.
 Some variables are inherently categorical, for example:  Sex  Race  Occupation  Other categorical variables are created by grouping values of a.
Stat1510: Statistical Thinking and Concepts Two Way Tables.
Aim: How do we analyze data with a two-way table?
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.
AP Statistics Section 4.2 Relationships Between Categorical Variables
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: Exploring Data Section 1.1 Analyzing Categorical Data The Practice of Statistics, 4 th edition - For AP* STARNES, YATES, MOORE.
Displaying Distributions – Qualitative Variables – Part 2 Lecture 16 Sec Wed, Feb 11, 2004.
Displaying and Describing Categorical Data Chapter 3.
Two-Way Relative Frequency Tables
26134 Business Statistics Autumn 2017
Chapter 1: Exploring Data
Part II: Two - Variable Statistics
Statistics 200 Lecture #7 Tuesday, September 13, 2016
CHAPTER 1 Exploring Data
Young adults by gender and chance of getting rich
AP Statistics Chapter 3 Part 3
Chapter 1: Exploring Data
Looking at Data - Relationships Data analysis for two-way tables
WARM – UP As an employee of Pizza Hut, your boss has put you in charge of determining the likeability of a New kind of Pizza. Using the 6 W’s, how would.
AP STATISTICS LESSON 4 – 3 ( DAY 1 )
Chapter 1 Data Analysis Section 1.1 Analyzing Categorical Data.
CHAPTER 6: Two-Way Tables
Relations in Categorical Data
Contingency Tables and Association
AP Statistics Chapter 3 Part 2
Analyzing Categorical Data
Chapter 1: Exploring Data
Relations in Categorical Data
Warmup Which part- time jobs employed 10 or more of the students?
Chapter 2 Looking at Data— Relationships
Chapter 1: Exploring Data
Review for test Ch. 6 ON TUESDAY:
Chapter 1: Exploring Data
1.1 Analyzing Categorical Data.
Do Now: Mr. Buckley gathered some information on his class
Chapter 1: Exploring Data
1.1 Cont’d.
1.1: Analyzing Categorical Data
Chapter 1: Exploring Data
CHAPTER 1 Exploring Data
Chapter 1: Exploring Data
Advanced Placement Statistics
Chapter 1: Exploring Data
Section 1.1 Analyzing Categorical Data
Chapter 1: Exploring Data
Section 4-3 Relations in Categorical Data
Day 58 – Data Tables.
REMEMBER: scatterplot two-way frequency table
Chapter 1: Exploring Data
Warmup A teacher is compiling information about his students. He asks for name, age, student ID, GPA and whether they ride the bus to school. For.
Section Way Tables and Marginal Distributions
Chapter 1: Exploring Data
Chapter 1: Exploring Data
Chapter 1: Exploring Data
Displaying and Describing Categorical data
DG 24 (LAST ONE) minutes Day 57 Agenda: DG 24 (LAST ONE) minutes.
Chapter 1: Exploring Data
Chapter 1: Exploring Data
Chapter 1: Exploring Data
Chapter 1: Exploring Data
Relations in Categorical Data
Chapter 1: Exploring Data
Presentation transcript:

Day 21 AGENDA: Rev Ch 3 and 4.1---20 minutes Begin Ch 4.2

Advanced Placement Statistics Section 4.2: Relationships Between Categorical Variables EQ: How do you use a two-way table to determine relationships between 2 categorical (qualitative) variables?

Recall: Relationships Between Two Quantitative Variables Scatterplots Association Regression

Relationships Between Two Qualitative Variables Contingency Tables

Terms To Know: Marginal Totals --- counts for each row and column

255 students stated that they were not stressed about school.

Terms To Know: Marginal Distributions --- percent for each row and column

37 / 419 ≈8.83% 8.83% of the students complained about having acid-reflux.

Terms To Know: Marginal Totals --- counts for each row and column Marginal Distributions --- percent for each row and column Joint Distributions --- percent involving more than one variable

131 / 419 ≈31.3% 31.3% of these students said they were under stress but did not have acid-reflux.

Terms To Know: Marginal Totals --- counts for each row and column Marginal Distributions --- percent for each row and column Joint Distributions --- percent involving more than one variable Conditional Distributions ---percent for one variable across some condition on the other variable

4/255 ≈1.7% 1.7% of the non-stressed students complained of having acid-reflux.

131/ 382 ≈34.3% 34.3% of the students said they were stressed given that they did not have acid-reflux.

Now answer the questions on your notes. What is the probability a person responded they felt under stress? 164/ 419 ≈39.1% What is the probability that a person responded they felt under stress and had reflux? 33/ 419 ≈7.9% What is the probability that a person with reflux responded they felt under stress? 33/ 37 ≈89.2% What is the probability that a person under stress responded they had reflux? 33/ 164 ≈20.1%

The following two-way table reports data on all undergraduate students enrolled in U.S. colleges and universities in the fall of 1995 whose age was known. 286 7,771 4,388 1,672 1,966 3,473 6,119 2,559 14,117 1. Calculate the marginal totals. Place them in the table. 2. How many undergraduate students were enrolled in colleges and universities? 14,117,000

0.003 0.009 0.005 0.003 0.0203 0.098 0.085 0.326 0.042 0.5545 0.0303 0.101 0.086 0.094 0.311 0.008 0.051 0.016 0.043 0.118 0.139 0.246 0.433 0.181 1.00 3. Calculate the relative frequency for each data value and place it in the table.

4. What percent of the undergraduate students were 18 to 24 years old in the fall of the academic year? 7771 out of 14117 = 55.1% 5. What is one comparison you can make about undergraduate college enrollment in Fall 1995? Almost twice as many students were enrolled as 4 yr full-time at 43% than 2-yr part-time at 23%. 6. Find the percent of undergraduates enrolled in each of the four types of program who were 18 to 24 years old. Make a bar graph to compare the results. Why do you think we chose this age group?

Type of College Student Distribution of 18 to 24 year olds in College During Fall 1995 .6 2 yr Full time: 1378/7771 = 17.73% .5 .4 2 yr Part time: 1198/7771 = 15.42% .3 Relative Frequency .2 4 yr Full time: 4607/7771 = 59.28% .1 4 yr Part time: 588/7771 = 7.57% 2 yr. 2 yr. 4 yr. 4 yr. Fulltime Parttime Fulltime Parttime Type of College Student

5. What is one comparison you can make about undergraduate college enrollment in Fall 1995? Almost twice as many students were enrolled as 4 yr full-time at 43% than 2-yr part-time at 23%. 6. Find the percent of undergraduates enrolled in each of the four types of program who were 18 to 24 years old. Make a bar graph to compare the results. Why do you think we chose this age group? 7. What is one comparison you can make about college enrollment of 18 to 24 yr olds in Fall 1995?

Distribution of 18 to 24 year olds in College During Fall 1995 More than half, 59%, of all 18 to 24 year olds are enrolled in 4 yr. colleges full time than in the other programs. Almost twice as many 18 to 24 year olds, attend 2 yr. colleges part time, as those who attend 4 yr. colleges part time, 15% to 8% respectively.

8. An association of two-year colleges asks: “What percent of students enrolled part-time at 2-year colleges are 25 to 39 years old?” 1427 out of 3473 = 41% 9. A bank that makes education loans to adults asks: “What percent of all 25- to 39- year-old students are enrolled part-time at 2-year colleges?” 1427 out of 4388 = 33%

11. What is one comparison you can make from the table in #10? 10. Create a contingency table relating the conditional distributions of college program given age. 41/286 = 14% 125/286 = 44% 75/286 = 26% 45/286 = 16% 1378/7771 = 18% 1198/7771 = 15% 4607/7771 = 59% 588/7771 = 8% 428/4388 = 10% 1427/4388 = 33% 1212/4388 = 28% 1321/4388 = 30% 119/1672 = 7% 723/1672 = 43% 225/1672 = 14% 605/1672 = 36% 11. What is one comparison you can make from the table in #10? 12. Explain the difference in the information you provided for #5, #7, and #11.

Remember, no single graph portrays the form of the relationship Remember, no single graph portrays the form of the relationship. And no single numerical measure summarizes the strength of the association. ASSIGNMENT: p. 298 - 299 #23 – 26 p. 303 #31 – 34