# Statistics 1.1.1

```Warm Up
Write you height on the board written in
inches.
 Complete the assignment


Compare and correct homework solutions
1
Warm Up
1.
2.
3.
Think of an anecdotal that you have
heard that can be studied with statistics.
What is a situation from which data can
be collected? (Give an example)
Read Activity 1 in Section One (Pink Box
on Page 4)
2
Warm Up
1.
2.
Think of an anecdotal that you have
heard that can be studied with statistics.
Discuss with your partner why we study
statistics.
3
Warm Up
Name three individuals in our classroom.
2) Create five variables that refer to your
individuals.
3) Make a table of the information.
4) Identify each of your variables as either
categorical or quantitative.
 Compare and correct homework solutions
1)
4
Section 1.1Part 1
AP Statistics
Objective:
By the end of the section you should be able to :
1. Identify the individual and variables in a set of data
2. Classify variables as categorical or quantitative.
5
We study statistics because…

…anecdotal evidence is not reliable. (Ex: power lines
and leukemia)

…we do not want to be lied to. (Ex. investigate Media stmnts)

…to gain insight and to draw conclusions.
(Ex: Global Warming)
… spotting trends helps us make good
decisions
 Simply, we study statistics because we want to
make sense of the world.

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Vocabulary
Individuals – objects in a data set.
Sometimes referred to as x1, x2, x3, etc.
 Variable – any characteristic of an
individual
 Pair Share: Thinking of the individuals in
this room, what might some of their
characteristics be?

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Categorical vs. Quantitative
Categorical variables places individuals in
one of several groups.(gender, zip code)
 Quantitative variable takes numerical
values for which arithmetic operations like
 Of the variables describing the members
of the class, which are categorical and
which are quantitative?
 When can age be categorical?

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Distribution
“The distribution of a variable tells us what
values the variable takes and how often it
takes these values.”
 How distributions differ between
categorical and quantitative variables?

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Bar and Pie Charts

Both show relative frequencies of
categorical values in a data set.
 When
we talk about Relative Frequency we
 Frequency is the count
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Problems with Pie Charts
“There is nothing that can be said in a Pie Chart, that can’t be said better in another
chart“
John Tukey, Father of Modern Data Display (Box Plot, Stem and Leaf Plot)
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Attributes of a “good” chart
1999 Soft Drink Sales


Title
Axis Labels
Consistent Scale
50
45
40
35
30
Percent

25
20
15
10
5
0
Coca-Cola
Co.
Pepsi Co.
Dr. Pepper/7Up
Cott Corp.
National
Beverage
Royal Crown
Other
Company
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Assignment

Read “Statistical Thinking” Pg. xii-xvi, Pg.1-7

Exercises 1.1 – 1.4 (Pg.7)
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