|
Page
|
Icon
Number
|
Icon
|
Icon
Title
|
|
2-1
|
5th
|
Data
Desk
|
Variables in
Data Desk -- hands on
|
|
3-1
|
1st
|
Video
|
Categorical
Data
|
|
3-1
|
2nd
|
Tool
|
Bar Charts
|
|
3-1
|
3rd
|
Data
Desk
|
Display
Categorical Variables
|
|
4-1
|
1st
|
Video
|
Soldier Sizes
|
|
4-1
|
3rd
|
Tool
|
Histograms
|
| 4-2 |
2nd |
Data Desk
|
Histograms
and Dotplots in Data Desk |
|
4-2
|
3rd
|
Data
Desk
|
Distribution
Displays
|
|
4-3
|
1st
|
Tool
|
Attributes of
Distribution Shape
|
|
4-3
|
4th
|
Data
Desk
|
Case Study:
Describing distribution shapes
|
|
5-1
|
1st
|
Video
|
When Will
"Old Faithful" Erupt?
|
|
5-1
|
2nd
|
Tool
|
The Center of
a Distribution
|
| 5-1 |
4th |
Data
Desk |
Data
Desk Calculation |
|
5-1
|
6th
|
Data
Desk
|
Case Study:
Summarizing the center of a distribution
|
|
5-2
|
1st
|
Tool
|
The Spread of
a Distribution
|
|
5-2
|
6th
|
Data
Desk
|
Case Study:
Summarizing data with centers and spreads
|
| 5-3 |
1st |
Tool |
5-Number
Summaries |
| 5-4 |
2nd |
Tool |
Boxplots |
|
5-4
|
4th
|
Data
Desk
|
Making and
Using Boxplots
|
|
5-4
|
6th
|
Data
Desk
|
Case Study:
Are passengers or drivers safer in a crash?
|
|
6-1
|
3rd
|
Tool
|
Standardizing
|
|
6-1
|
4th
|
Tool
|
The Normal
Model
|
|
6-2
|
2nd
|
Tool
|
Working with
Normal Models
|
|
6-2
|
3rd
|
Tool
|
Your Pulse
z-score
|
| 6-3 |
1st |
Tool |
Normal
Models |
|
6-4
|
2nd
|
Tool
|
Z-scores, and
Relative Frequencies
|
| 7-1 |
1st |
Video |
The
Beanstalk Club |
| 7-1 |
2nd
|
Tool
|
Heights
of Husbands and Wives |
|
7-1
|
3rd
|
Data
Desk
|
Making and
Understanding Scatterplots
|
|
7-2
|
1st
|
Tool
|
Direction,
Form, and Strength
|
|
7-2
|
4th
|
Data
Desk
|
Case Study:
Fuel efficiency in cars
|
|
7-2
|
6th
|
Data
Desk
|
Two
Quantitative Variables and One Categorical Variable
|
|
7-3
|
1st
|
Tool
|
Correlation
|
|
7-3
|
2nd
|
Data
Desk
|
Correlation
and Relationship Strength
|
|
7-3
|
3rd
|
Data
Desk
|
Correlation
and Linearity
|
|
7-4
|
1st
|
Tool
|
Construct
Scatterplots with a Given Correlation
|
|
7-4
|
3rd
|
Data
Desk
|
Case Study:
Mortality and Education
|
|
8-1
|
1st
|
Video
|
Motorboats and
Manatees
|
|
8-1
|
2nd
|
Data
Desk
|
Examining the
Manatee Data
|
|
8-2
|
1st
|
Tool
|
Interpreting
Equations
|
|
8-2
|
3rd
|
Data
Desk
|
Find a
regression equation with Data Desk
|
|
8-3
|
1st
|
Tool
|
Residuals
|
|
8-3
|
2nd
|
Tool
|
The Least
Squares Criterion
|
|
8-3
|
3rd
|
Data
Desk
|
Finding Least
Squares Lines
|
|
9-2
|
1st
|
Tool
|
Case Study:
Predicting Manatee
|
|
11-1
|
1st
|
Tool
|
Random
Behavior
|
|
11-2
|
1st
|
Tool
|
Bigger Samples
are Better
|
|
11-2
|
2nd
|
Tool
|
Estimating
Summaries from Random Outcomes
|
|
11-2
|
3rd
|
Data
Desk
|
Random
Outcomes in Data Desk
|
|
12-1
|
2nd
|
Video
|
Frito-Lay
Sampling for Quality
|
|
12-1
|
3rd
|
Data
Desk
|
Sampling From
Real Populations
|
|
12-2
|
1st
|
Tool
|
Statistics and
Parameters
|
|
12-2
|
2nd
|
Tool
|
Notation
for Parameters |
|
12-3
|
2nd
|
Tool
|
The Literary
Digest Poll and the Election of 1936
|
|
12-4
|
1st
|
Video
|
Biased
Question Wording
|
|
13-1
|
1st
|
Video
|
An Industrial
Experiment
|
|
13-2
|
1st
|
Tool
|
The
Terminology in Designed Experiments
|
|
13-3
|
1st
|
Tool
|
Performing an
Experiment
|
|
13-3
|
2nd
|
Data
Desk
|
Graph the Data
Collected in the Experiment
|
|
14-1
|
1st
|
Tool
|
What is
Probability?
|
|
14-1
|
4th
|
Tool
|
Multiple
Discrete Outcomes
|
|
14-2
|
2nd
|
Tool
|
The Addition
Rule Disjoint Events.
|
| 14-2 |
3rd |
Tool |
Probabilities
of Compound Events |
|
15-1
|
1st
|
Tool
|
Birth Weights
and Smoking
|
|
16-2
|
2nd
|
Tool
|
Means of
Random Variables
|
|
16-2
|
4th
|
Tool
|
Understand
that the Law of Large Numbers also describes the long-run
behavior of averages of many outcomes
|
|
18-1
|
1st
|
Tool
|
The Sampling
Distribution of the Proportion
|
|
18-1
|
2nd
|
Tool
|
Simulating
Sampling Distributions
|
|
18-1
|
3rd
|
Tool
|
The Standard
Deviation of a Proportion
|
|
18-1
|
5th
|
Simulation
|
Understand the
Sampling Distribution of a Proportion
|
|
19-1
|
3rd
|
Tool
|
Confidence
Intervals for Proportions
|
| 19-1 |
4th
|
Tool
|
Balancing
Precision and Certainty |
|
19-1
|
5th
|
Tool
|
Assumptions
and Conditions
|
| 19-2 |
1st |
Video |
Save
the Bay |
|
19-2
|
2nd
|
Tool
|
A confidence
interval for Dissolved Oxygen
|
|
19-3
|
1st
|
Data
Desk
|
Simulating
Confidence
|
| 19-3 |
4th |
Tool |
The
Importance of Sample Size |
|
20-1
|
1st
|
Tool
|
Testing a
Claim
|
|
20-1
|
2nd
|
Tool
|
The Reasoning
of Hypothesis Testing
|
|
20-1
|
3rd
|
Tool
|
Was the
Observed Outcome Unlikely?
|
|
20-2
|
1st
|
Tool
|
Practice with
Testing Hypotheses about Proportions
|
|
20-2
|
3rd
|
Tool
|
The
Alternative Hypothesis
|
|
21-1
|
1st
|
Video
|
Is there
Evidence for Therapeutic Touch?
|
|
21-1
|
2nd
|
Tool
|
Hypothesis
Tests are Random
|
|
21-1
|
3rd
|
Data
Desk
|
Rejecting the
Null Hypothesis
|
|
21-2
|
1st
|
Tool
|
Type I and
Type II Errors
|
|
21-2
|
2nd
|
Tool
|
Hypothesis
Tests Based on Statistics are Random |
|
18-3
|
1st
|
Data
Desk
|
The Central
Limit Theorem
|
| 18-3 |
3rd |
Simulation |
The
CLT for Real Data |
| 23-1 |
1st |
Tool |
Estimating
the Standard Error |
|
23-1
|
2nd
|
Tool
|
The Student's
t-Distribution
|
|
23-1
|
4th
|
Tool
|
Intuition for
t based intervals
|
|
23-2
|
1st
|
Data
Desk
|
Apply
Student's t Confidence Intervals to real data
|
|
23-2
|
3rd
|
Tool
|
The Real
Effect of Small Sample Size
|
| 23-3 |
1st |
Video |
Taste
Testing for Sweetness |
|
23-3
|
2nd
|
Tool
|
A t-test for
Sweetness Loss
|
|
23-3
|
4th
|
Tool
|
Practice with
Significance Tests
|
|
24-1
|
1st
|
Video
|
Can Diet
Prolong Life?
|
| 24-1 |
2nd |
Pencil |
An
Experiment to Study Diet and Longevity |
|
24-1
|
3rd
|
Tool
|
Does
Restricting Diet Prolong Life?
|
|
24-1
|
4th
|
Data
Desk
|
Find
two-sample t Confidence Intervals for Real Data
|
|
24-2
|
1st
|
