AP Statistics Chapter 4 Agenda – Designing Studies
Day
Topics
1
Chapter 3 Wrap-Up
 Lab: Distracted Driving
 Lab: U.S. States
2
Section 4.1 Introduction
 Sampling and Surveys,
 How to Sample Badly
 Technology: Choosing an
SRS using an Applet or
Calculator
Objectives: Students will be able to…

I can use simulations to generate data

I can identify the population and sample in a
sample survey.
I can identify voluntary response samples
and convenience samples.
I can explain how these bad sampling
methods can lead to bias.
I can describe how to use Table D to select a
simple random sample (SRS).
I can distinguish a simple random sample
from a stratified random sample.
I can give advantages and disadvantages of
each sampling method.
I can identify a cluster or multi-stage sample
and distinguish them from simple random or
stratified samples
I can identify a systematic sample.
I can explain how under coverage,
nonresponse, and question wording can lead
to bias in a sample survey.

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3
Section 4.1
 How to Sample Well:
Random Samples
 Other Sampling Methods

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4
Section 4.1
 Inference for Sampling
 Sample Surveys: What Can
Go Wrong?


Homework
Reading:
Intro. pp. 205225
Strive:
p. 63-67
Textbook
Problems:
p. 279:
AP1: #17 AND
p. 230 #44
Textbook
Problems:
1, 3, 5, 7, 8, 9
Textbook
Problems:
11, 13, 17, 19,
p. 278 AP1.15
Textbook
Problems:
21, 25, 27, 31,
35
Reading:
pp. 231-236
5
Conclusion of Section 4.1: Free
Response Practice (FRAPPY)


6
Section 4.2
 Observational Studies vs.
Experiments
 The Language of
Experiments
 How to Experiment Badly


I can completely and correctly respond to a
Free Response Question
I can distinguish between an observational
study and an experiment.
I can explain how a lurking variable in an
observational study can lead to confounding.
I can identify the experimental units or
subjects, explanatory variables (factors),
treatments, and response variables in an
experiment.
Strive:
p. 63-67
Textbook
Problems:
28, 33, 34, 3742
Reading:
pp. 236-242
Strive:
pp. 68-72
Textbook
Problems:
45, 47, 49, 51,
53
1
7
Section 4.2
 How to Experiment Well
 Three Principles of
Experimental Design
8
Section 4.2
 Experiments: What Can Go
Wrong?
 Inference for Experiments

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9
Section 4.2
 Blocking
 Matched Pairs Design

I can describe a completely randomized
design for an experiment.
I can explain why random assignment is an
important experimental design principle.
I can describe how to avoid the placebo
effect in an experiment.
I can explain the meaning and the purpose of
blinding in an experiment.
I can explain in context what “statistically
significant” means.
I can distinguish between a completely
randomized design and a randomized block
design.
I can know when a matched pairs
experimental design is appropriate and how
to implement such a design.
Reading:
pp. 242-252
Textbook
Problems:
57, 64, 65, 67
Textbook
Problems:
69, 71, 73, 75*
(*We will
analyze this
data again in
an Activity in
chapter 10)
Textbook
Problems:
77, 79, 81, 85,
Reading:
pp. 261-268
10
11
Section 4.3
 Scope of Inference
 the Challenges of
Establishing Causation

Conclusion of Section 4.1: Free
Response Practice (FRAPPY)

12
Chapter 4 Review
13
Chapter 4 Test & Chapter 4 HW
Journal is due!!

I can determine the scope of inference for a
statistical study.
I can evaluate whether a statistical study has
been carried out in an ethical manner.
I can completely and correctly respond to a
Free Response Question
 Summary of all ‘I can’ statements and
concepts
 All HW problems should be finished prior
to test
 Strive Book Chapter 4 should be completed
prior to test
Strive:
pp. 73-74
Textbook
Problems:
91-98, 102-108
Textbook
Problems:
55, 83, 87, 89
Strive:
 Complete
checklist in
Strive
book
 Practice
MC & FR
problems
 Crossword
Puzzle for
Vocab
2