1. 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 you precede? Be detailed!!!

2. Who, What, Why, When, Where, and HoW.
WARM – UP
Your boss has put you in charge of developing a new version of the popular video game “HALO”
Describe The W’s of Data Collection and Analysis :
Who, What, Why, When, Where, and HoW.

3. Chapter 3 Categorical Data
To analyze categorical data we use the Counts or Percents of individuals that fall in the various categories. This is usually done in a Two-Way Table or a Contingency Table.
Example: In a December of 2012 report, the US Census Bureau listed the levels of educational attainment for Americans over 65. Construct a Bar Chart, A Relative Frequency Bar Chart, and a Pie Graph.
Education Level
Count (Thousands)
No HS Diploma
9,945
HS but no College
11,701
Some College
4,481
2-yr Degree
1,390
4-yr Degree
3,133
Masters Degree
1,213
Ph.D
757
32,620

4. BAR CHART Relative Frequency = Percents Relative Frequency Frequency
12000—
11000—
10000—
9000—
8000—
7000—
6000—
5000—
4000—
3000—
2000—
1000— 0—
Education Level
Count (Thousands)
No HS Diploma
9,945
HS but no College
11,701
Some College
4,481
2-yr Degree
1,390
4-yr Degree
3,133
Masters Degree
1,213
Ph.D
757
36 %—
33 %—
30 %—
27 %—
24 %—
21 %—
18 %—
15 %—
12 %—
9 %—
6 %—
3 %—
30.5 %
35.9 %
13.7 %
4.3 %
9.6 %
3.7 %
2.3 %
32,620
Frequency
Relative Frequency
Ed. Level
No H.S.
H.S. No College
Some College
2-yr Degree
4-yr Degree
Masters Degree
Ph. D
Relative Frequency = Percents

5. PIE GRAPH Ph. D Masters No HS 4-yr 2-yr Some College HS No College
Education Level
Count (Thousands)
No HS Diploma
9,945
HS but no College
11,701
Some College
4,481
2-yr Degree
1,390
4-yr Degree
3,133
Masters Degree
1,213
Ph.D
757
30.5 %
35.9 %
13.7 %
4.3 %
9.6 %
3.7 %
2.3 %
Ph. D
Masters
No HS
4-yr
2-yr
Some College
HS No College

6. Conditional Distributions
EXAMPLE: Is there a relationship between a particular sport and winning at home during home games?
Basketball Baseball Hockey Football
Home Win
Home Loss
287
203
64.1%
53.0%
53.7%
57.6%
The Marginal Distributions are the row and column totals.
The Explanatory variable is the Variable we USE to answer the question
The Response variable is the Variable we MEASURE.
1. What are the explanatory and response variables?
2. What percent of these sport games win at home?
3. Among each sport what percent of home games resulted in wins?
Exp. = Sport
Resp. = Win/Loss
58.6%

7. HW page odd
Of the 1,755 qualified applicants for the Houston ISD
magnet schools program. 53% were accepted, 17% were wait-listed, and the other 30% were turned away for lack of space.
Decision
Count
Accepted
931
Wait-listed
298
Turned Away
526
53 %
17 %
30 %

8. BAR CHART
100—
50--- 0— %
Accepted Wait-listed Turned Away
Decision

9. BAR CHART
100—
90—
80—
70—
60—
50—
40—
30—
20—
10— 0—
% of Home Game Wins
Basketball Baseball Hockey Football
SPORT
Is there a relationship between a particular sport and home field advantage? Explain.