AP Statistics sample audit syllabus

advertisement
AP Statistics -- Chapter 9 Testing a Claim
Day
Topics
Objectives: Students will be able to:
Homework
I can correctly identify the parameter of
interest for a hypothesis test.
I can state correct hypotheses for a
significance test about a population
proportion or mean.
I can interpret P-values in context.
Reading:
pp. 527-537
Strive:
pp. 165-169
Textbook
Problems:
2, 4, 5, 7, 9, 12,
14
I can interpret a Type I error and a Type II
error in context, and give the
consequences of each.
I can understand the relationship between
the significance level of a test, P(Type II
error), and power.
Reading:
pp. 537-545
Textbook
Problems:
15, 19, 21, 23,
25
I can check conditions for carrying out a
test about a population proportion.
I can recognize that if conditions are met,
conduct a significance test about a
population proportion.
Reading:
pp. 549-555
Strive:
170-172
Textbook
Problems:
27–30, 41, 43,
45

I can use a confidence interval to draw a
conclusion for a two-sided test about a
population proportion.
Reading:
pp. 556-562
Textbook
Problems:
47, 50, 52, 53,
55

I can check conditions for carrying out a
test about a population mean.
I can recognize, if conditions are met,
conduct a one-sample t test about a
population mean  .
I can use a confidence interval to draw a
conclusion for a two-sided test about a
population mean.
Section 9.1
 The Reasoning of
Significance Tests
 Stating Hypotheses
 Interpreting P-values
 Statistical Significance


2
Section 9.1
 Type I and Type II Errors
 Planning Studies: The
Power of a Statistical Test
 Technology: Investigating
Power with an Applet
3
Section 9.2
 Carrying Out a Significance
Test
 The One-Sample z Test for
a Proportion
 Technology: OneProportion z Test on the
Calculator
4
Section 9.2
 Two-Sided Tests
 Why Confidence Intervals
Give More Information
 Technology: Tests and
Confidence Intervals using
Minitab
5
Section 9.3
 Carrying Out a Significance
Test for 
 The One Sample t Test
 Two-Sided Tests and
Confidence Intervals
 Technology: Computing Pvalues from t Distributions
on the Calculator, One
Sample t Test on the
Calculator
1







Reading:
pp. 565-576
Strive:
p. 173-175
Textbook
Problems:
57–60, 64, 65,
68, 70
1

6
Section 9.3
 Inference for Means:
Paired Data
 Using Tests Wisely


7
8
Chapter 9 Review
Chapter 9 Test
I can recognize when a confidence interval
is not needed for estimations.
I can recognize paired data and use onesample t procedures to perform
significance tests for such data.
Summary of all ‘I can’ statements and
concepts
Reading:
pp. 577-587
Textbook
Problems:
71, 73, 75, 77,
89, 96
Strive:
176-183
Textbook
Problems:
94, 95, 97, 99–
104
 All HW problems should be finished prior to
test; Strive Book Chapter 9 should be
completed prior to test
2
Download