AP Statistics – Chapter 8 Estimating With Confidence
Day
1
2
Topics
Section 8.1
 The Idea of a Confidence
Interval,
 Parameters & Statistics
 Point Estimators/Point
Estimates
 Interpreting: Margin of
Error, confidence
intervals, & confidence
levels
Section 8.1
 Interpreting Confidence
Levels and Confidence
Intervals,
 Constructing a Confidence
Interval,
 Using Confidence Intervals
Wisely
Objectives: Students will be able to:
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3
Section 8.2
 Conditions for Estimating p,
 Constructing a Confidence
Interval for p
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4
Section 8.2
 Putting It All Together: The
Four-Step Process,
 Choosing the Sample Size,
 Technology: Confidence
Intervals for p on the
Calculator
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Homework
I can identify a point estimator to help
estimate an unknown parameter.
I can correctly interpret the meaning of the
margin of error in context.
I can understand that a confidence interval
gives a range of plausible values for the
parameter.
Reading:
pp. 467-478
Strive:
p. 148-150
Textbook
problems:
1, 2, 5,
11, 16
I can interpret a confidence level in
context.
I can interpret a confidence interval in
context.
I can understand why each of the three
inference conditions—Random, Normal,
and Independent—is important.
I can understand how confidence level or
sample size will affect the margin of error.
Textbook
problems:
13, 17, 19, 20
I can construct and interpret a confidence
interval for a population proportion.
I can determine critical values for
calculating a confidence interval using a
table or your calculator.
I can explain how practical issues like
nonresponse, under coverage, and
response bias can affect the interpretation
of a confidence interval.
Reading:
pp. 478-481
Textbook
problems:
27, 28, 31, 32,
33
I can carry out the steps in constructing a
confidence interval for a population
proportion: define the parameter; check
conditions; perform calculations; interpret
results in context.
I can determine the sample size required to
obtain a level C confidence interval for a
population proportion with a specified
margin of error.
I can understand how the margin of error
of a confidence interval changes with the
sample size and the level of confidence C.
Reading:
pp. 484-495
Strive:
pp. 151-153
Textbook
Problems:
35, 37, 41, 43,
48
1
5
Section 8.3
 When  Is Known: The
One-Sample z Interval for a
Population Mean,
 When  Is Unknown: The t
Distributions,
 Constructing a Confidence
Interval for  ,
 Technology: Inverse t on the
Calculator
6
Section 8.3
 Using t Procedures Wisely,
 Technology: Confidence
Intervals for  on the
Calculator
7
Chapter 8 Review
8
9
Chapter 8 Review
Chapter 8 Test
HW is due!
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I can construct and interpret a confidence
interval for a population mean.
I can determine the sample size required to
obtain a level C confidence interval for a
population mean with a specified margin of
error.
I can carry out the steps in constructing a
confidence interval for a population mean:
define the parameter; check conditions;
perform calculations; interpret results in
context.
Reading:
p. 499-511
Strive:
pp. 154-156
Textbook
Problems:
55, 57, 59, 63
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I can understand why each of the three
inference conditions—Random, Normal,
and Independent—is important.
Reading:
p. 511-517
Textbook
Problems:
65, 67, 71, 73,
74
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I can determine sample statistics from a
confidence interval.
Textbook
Problems:
49–52, 75-78
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Summary of all ‘I can’ statements and
concepts
Strive:
pp. 157-164
Textbook
Problems:
3, 21–24
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All HW problems should be
finished prior to test; Strive Book
Chapter 8 should be completed
prior to test
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