AP Statistics Syllabus
Course Objective:
This course is based on the College Board Advanced Placement Statistics course. The students study
four broad conceptual themes: 1. Exploring data: Observing patterns and departures from patterns 2.
Planning a study: Deciding what and how to measure 3. Anticipating patterns: Producing models using
probability and simulation 4. Statistical inference: Confirming models.
Students will be introduced to the major concepts and tools for collecting, analyzing, and drawing
conclusions from data. Students will also learn how to use a graphing calculator and read computer data
to perform statistical analysis. Students will prepare to take the Advanced Placement examination in
statistics.
Primary Text:

Daniel Yates, David Moore and George McCabe. The Practice Of Statistics: TI-83 Graphing
Calculator Enhanced. New York, NY: W.H. Freeman and Company, 2000
Additional Resources: Worksheets from Duane Hinders, Michelle Hipke , Josh Tabor and Dan Teague
Technology:

All students will need a TI-83, TI-83+, TI-84, or TI-89 graphing calculator in class, at home,
and on the AP Exam.

Students will be required to use statistical software Intro. to Jump to create computergenerated graphs and to analyze data.
Required Materials:

Text

Notebook

Graphing calculator (see above)

Pencil, eraser, colored pens or pencils

A positive attitude!
Assessment:

Tests and quizzes are worth 60% of your grade: Each six weeks have 2-3 tests. Each test is
comprised of a multiple-choice section and a free response section.There will be occasional
quizzes plus various other class assignments and Semester exams.

Projects: There is a major project each semester, which counts as a test grade.

Homework is worth 15% of your grade.

Semester exams are cumulative and count 20% of the semester average.

Class participation, being on task, having your required materials, asking and answering questions,
is worth 5% of your grade.
Please note that following the syllabus are sample worksheets and the chapter
packets cover sheets that each student compiles after each unit.
AP STATISTICS FALL 2007, SPRING 2008
Note the following assignments will be broken down into numbered assignments. How they
are broken down depends on our pacing, which will vary depending on the topic. Also,
please note that assignments will be modified depending on class needs during the year.
Topics
Course Outline:
Book Assignments
Chapters 1
Graphical Displays
 Random Variable
definition
 Types of variables
 Description of graphs
(center, spread, shape,
unusual features [gaps,
clusters, outliers, etc.])
 Bar graphs
 Segmented bar graphs
 Pie graphs
 Stemplot
 Back-to-back stemplots
 Dotplot
 Histograms
 Cumulative relative
frequency plot (Ogive)
 Scatterplots
 Time plots
Chapter 2
Exploring Data
 Measures of center
 Measures of spread
 Outliers
 Modified boxplots
 Parallel boxplots
 Z-scores
 Empirical rule
Read: pp. 1-25 & pp. 30-48
Assessments
Chapter 1
Homework: 1.6, 1.7, 1.9, 1.10, 1.14,17,
1.19,1.26,1.27,1.29,1.30,1.32, 1.49
Handouts:
 Sexual Discrimination Activity (Tabor)
 Special Assignment 1A (Support
material from The Practice of
Statistics: Yates, Moore, McCabe)
 Chapter 1 summary (Adapted from
Hipke)
Aprroximately 10 days
Read: pp. 64-79, 83-101
Homework: 2.2-4,6,7,20-26,28,29,39,41,46
Handouts:
 Free Response '05 #1
 Chapter 2 summary (Adapted from
Hipke)
Aprroximately 13 days
Chapter 2 Test
Chapter 3
Scatterplots
 Examining relationships
 Interpreting scatter
plots and outliers
 Correlation
 Least Squares
Regression line
 Facts about LSRL
 Residual Plots and
Influential outliers
Read: pp. 106-122, 128-135, 137-165
Chapter 3 Test
Homework: 3.1,2,5,7-9, 20-22,
24,25,28,33,34,36-38,41,50,52,58
Handouts:
 Age Residual Activity (Yates, Moore,
McCabe)
 Pickles Will Kill You (Hinders)
 Free Response '05 #3
 Chapter 3 summary (Adapted from
Hipke)
Internet Activity: explore various aspects of
regression using the following applets:
 http://www.stat.uiuc.edu/~stat100/ja
va/GCApplet/GCAppletFrame.html
 http://www.ruf.rice.edu/~lane/stat_si
m/reg_by_eye/index.html
 http://www.stat.sc.edu/~west/javaht
ml/Regression.html
Chapter 4
More on Two-Variable Data
 Exponential data and log
rules
 Power data
 Interpreting correlation
and regression
 Relations in Categorical
data
 Simpson's Paradox
Aprroximately 14 days
Read: pp. 176-197, 190-214
Homework: 4.2,14,39,41,46,47,49
Handouts:
 Comparing r squared (Teague)
 Gypsy Moth Problem (Tabor)
 Butcher Problem (Hinders)
 Planet Problem (Tabor)
 Cherry Blossom (Teague)
 Free Response '04B #1
 Chapter 4 summary (Adapted from
Hipke)
Aprroximately 13 days
Chapter 4 Test
Chapter 5
Sampling & Experimental
Design
 Census
 Population
 Sample
 Voluntary response
sample
 Confounded variables
 Sampling methods: SRS,
stratified, systematic,
cluster, multi-stage
sampling
 Sources of bias in
samples
 Probability sample
 Completely randomize
experiment
 Randomized block
experiment
 Blind, double blind,
 Matched pairs
experiment
 Observational studies
 Principles of experiment
design: randomization,
replication & control,
 Sources of bias in
experiments:
confounding, placebo
effect, blinding
 Statistically significant
 Simulations
Read: pp. 245-261, 265-284, 286-300
Chapter 5 Test
Homework: 5.1,3,4,8-12,14,16,19,21,22,3133,36,54,55,59
Design Experiment
Project
Handouts:
 Gettysburg Address (Tabor)
 River Exercise (Tabor)
 Dentist-Scope of Inference (Tabor)
 Cereal Toy Simulation (Tabor)
 Cherry Blossom (Teague)
 Articles: Polling's Dirty Little Secret,
Holocaust Denial, Emily's Experiment
 Free Response '06 #5
 Chapter 5 summary (Adapted from
Hipke)
Aprroximately 15 days
Chapter 6
Population of interest &
generalizing of results
Probability
 Probability rules for
addition & multiplication
 Complements
 Mutually exclusive
events
 Independent vs. disjoint
events
 Conditional probability
 Contingency tables
Chapter 7
Discrete distributions
 Random Variables
 Expected Value
 Means & standard
deviations of
random variables
 Transformations,
sums and
differences
 Law of large
numbers
Read: pp. 310-316, 317-337, 341-359
Chapter 8
Read: 414-432, 434-453
Chapter 8 Test
Homework: 8.1-4,6-9,11,12,15,16,19,22,27,29
1st Semester Exam





Probability
distributions
Binomial
distributions
Geometric
distributions
Cumulative
distribution
functions
Mean & standard
deviation of the
above distributions
Chapter 6 Test
Homework: 6.6,12,15,18,24,33
Handouts:
 Probability Proficiency
 Titanic-Conditional Probability (Tabor)
 Multistage (Hinders)
 Multistage (Tabor)
 Chapter 6 summary (Adapted from
Hipke)
Aprroximately 7 days
Read: pp. 366-380
Chapter 7 Test
Homework: 7.2-5,13,14,19,22,23,28,31-33
Handouts:
 Keno (Tabor)
 Chapter 7 summary (Adapted from
Hipke)
Aprroximately 7 days
Handouts:
 Chapter 8 summary (Adapted from
Hipke)
 Review packet: Chapters 1-8 (Hipke)
Aprroximately 8 days
Chapter 9 Sampling
Distributions ( x )
 Mean & standard
deviation formulas
 Central Limit Theorem
 Parameter versus
statistic
 Simulate sampling
distributions
 APPROXIMATELY
NORMAL
 Law of large numbers
Chapter 10
Confidence Intervals for
means (one sample &
matched pairs)
 Critical values
 Choosing sample size
 Margin of error
 Properties of
confidence intervals
 Calculation &
interpretation of
confidence intervals for
means
 Significance tests
 Null hypothesis
 Alternative hypothesis
 Two sided hypothesis
 Choosing a level of
significance
 Test statistic
 P-value
 Z-test
 Type I and type II
errors
 Power
Read: pp. 454-469, 481-497
Chapter 9 Test
Homework: 9.1-6,8-10,15-19,26,28,30-33,35
Internet Activity – investigate the Central
Limit Theorem using
www.ruf.rice.edu/~lane/stat_sim/sampling_di
st/index.html
Handouts:
 Chapter 9 summary (Adapted from
Hipke)
 To be determined
Aprroximately 9 days
Read: pp. 504-527, 531-556, 567-577
Homework: 10.1-3,5,6,9,13-15,17,2629,31,35,37,39,41,44,58,59,61,66,67,69,71,80
,81
Handouts:
 Chapter 10 summary (Adapted from
Hipke)
 To be determined
Aprroximately 10 days
Chapter 10 Test
Chapter 11
Inference for Distributions
 Inference for the mean
of a population
 Standard error
 One sample t statistic
 T distribution
 Degrees of freedom
 Matched pairs t
procedures
 Robustness
 Two sample procedures
 Interpretation of
results
Chapter 12
Inference for Populations
 Inference for a
population proportion
 Assumptions for
inference for population
proportions
 Large sample inference
for a population
proportion
 Choosing the sample
size
 Sample size for desired
margin of error
 Comparing two
proportions
 Significance test for
comparing two
proportions
Read: pp. 586-613
Chapter 11 Test
Homework: 11.1-7,11-13,15,17,19,20,3133,37,40,41,43,44,58,64
Activities:
 Power Applet Activity – investigate the
effects of sample size, alpha, and
difference between null & alternative
means on power using
http://wise.cgu.edu/power/powerapplet1.html
Handouts:
 Chapter 11 summary (Adapted from
Hipke)
 To be determined
Aprroximately 13 days
Read: pp. 658-675, 678-694
Homework: 12.1-4,6,7,9,10,17,20-24
Handouts:
 Chapter 12 summary (Adapted from
Hipke)
 To be determined
Aprroximately 7 days
Chapter 12 Test
Chapter 13
Inference for Tables: ChiSquare Procedures
 Test for goodness of fit
 Chi-square statistic
 Degrees of freedom
 Chi-square distribution
with n-1 degrees of
freedom
 Two-way tables
 Expected counts
confidence intervals
Read: pp. 700-716
Test on Chapter 13
Homework: 13.1-3,8-10,13-16,19,21,28,37
Handouts:
 Chapter 13 summary (Adapted from
Hipke)
 To be determined
Aprroximately 5 days
Chapter 14
Inference for Regression
 Assumptions for
regression inference
 Standard error about
the least-squares line
 Confidence interval for
regression slope
 Significance tests for
regression slope
Read: pp. 752-767, 769-772, 774-781
Test on Chapter 14
Homework: 14.1,2,4,6,8,9
Handouts:
 Chapter 14 summary (Adapted from
Hipke)
 To be determined
Aprroximately 5 days
Review and Practice
Practice exams
Aprroximately 15 days
AP Exam, Final
exam
AP Statistics First Semester Project: Response Bias (Josh Tabor)
The Project: You will design and conduct an experiment to investigate the effects of response bias in
surveys. You may choose the topic for your surveys, but you must design your experiment so that it can
answer at least one of the following questions:
 Can the wording of a question create response bias?
 Do the characteristics of the interviewer create response bias?
 Does anonymity change the responses to sensitive questions?
 Does manipulating the answer choices change the response?
Proposal: The proposal will be worth 20% of the grade, so don’t treat it casually. If the proposal isn’t
approved the first time, you will need to resubmit it for a reduced grade. You must attach the original
proposal to any resubmissions.
In your proposal, you should:
 Describe your topic and state which type of bias you are investigating
 Describe how you will obtain your subjects (minimum sample size is 50). This must be practical!!
Note: your population does not need to be from Carlmont High School nor should you interrupt any
classes.
 Describe what your questions will be and how they will be asked, including how you will incorporate
direct control, blocking (if any), and randomization. Convince me that this is a good experiment!
Four Paragraphs: These four paragraphs, in addition to your project title and question, should be included
on your poster (clearly labeled):
A. Introduction: What form of response bias were you investigating? Why did you
choose the topic you chose for the survey?
B. Methodology: Describe how you conducted your experiment and why you think your
design was effective. Note: This section should be very similar to your proposal.
C. Results: Present the data in both tables and graphs in such a way that conclusions can
be easily made. Make sure to label the graphs/tables clearly and consistently.
D. Conclusions: What conclusions can be drawn from your experiment? Be specific.
Did you encounter any problems during your project? Would you do anything
different if you were to repeat your experiment? What did you learn from this
project?
E. Your original proposal
Poster: The poster should completely summarize your project, yet be simple enough to be understood by a
freshman. Be sure to include some pictures of your data collection in progress. Do not make it heavy--I want
to hang them up!
Oral Presentation: Both members need to participate equally. Your poster should be used as a visual aid.
Approximately 5 minutes. Be prepared for questions.
Due dates:
 Proposal: December 1, 2006
 Poster, and Oral Presentation: December 11, 2006
 Note: All work is due at the beginning of the period, even if you are absent. Significant points will
be deducted for late work (20% per day)
Miscellaneous:
 The project must be done in pairs. You will turn in one project per pair.
 The project will be worth a test grade

The four paragraphs must be typed (single spaced 12 point font) and graphs should be computer
generated. (If needed, borrow JMP-Intro from Ms. Pearlman).
Examples of Successful Projects:
“Cartoons”, by Sean Wu and Brian Hartzheim
1. “Do you watch cartoons?” (90% yes)
2. “Do you still watch cartoons?” (60% yes)
“Milk vs. Orange Juice”, by Angela Chen and Sharon Lai
1. “Which do you prefer, milk or orange juice, as a breakfast drink?” (milk: 14%)
2. “Milk contains high levels of vitamin D and calcium. Do you prefer milk or orange juice as a breakfast
drink?” (milk: 64%)
“Cheating”, by Wilson Kurniawidjaja, Oliver Lee, and Charlene Wang
1. “Do you cheat in class?” (anonymous: 47% would)
2. “Do you cheat in class?” (not anonymous: 15% would)
“Make-Up”, by Caryn Suryamega and Trisha Tsuno
(all questions asked to males)
1. “Do you find females who wear makeup attractive?” (wearing makeup: 75% yes)
2. “Do you find females who wear makeup attractive?” (without wearing makeup: 30% yes)
“Time Online”, by Yale Lee and Helen Theung
1. “On average, how many hours do you spend online each week: 0-5, 6-10, 11-16, 17-25, 26- 35, or
more?”
2. “On average, how many hours do you spend online each week: 0-5, 6-10, 11-16, or more?”
-For this question, the students anticipated that subjects would be embarrassed to put “more”.
In the first question, 50% answered over 17 hours, but in the second question, 0% did.
(Josh Tabor)
Opening Activity: The Sexual Discrimination Problem (Josh Tabor)
Recently, a certain company had to fire 10 employees because of the sluggish economy. Of
these 10 employees, 5 were women. However only
1
of the company's employees were
3
women. This discrepancy has led the women who were fired to file a sexual
discrimination lawsuit. Do they have a legitimate claim?
AP Statistics
Chapter 4 Review
When will the Cherry Blossoms Appear? (from Dan Teague, NCSSM)
The anticipation of the first blooms of spring flowers is one of the joys of April. One of the
most beautiful is that of the Japanese cherry tree. Experience has taught us that, if the
spring has been a warm one, the trees will bloom early, but if the spring has been cool, then
the blossoms will appear later. Mr. Yamada is a gardener who has observed the date in
April when the blossoms first appear for the last 24 years. His son, Hiro, went on the
internet and found the average March temperature (in degrees Celsius) in his area for those
years. The data is below. To verify that you entered the data correctly, the mean
temperature is 4.321 and the mean days is 12.875.
1. Which should be the explanatory variable? Explain.
2. Draw a scatterplot and discuss the noticeable features. Is one variable
completely dependent on the other?
3. Calculate the least squares line and graph it on the scatterplot.
4. Interpret the slope in the context of the problem.
5. Interpret the x- and y-intercepts in the context of the problem.
6. Find the value of the correlation coefficient. If the temperature was measured
in degrees Fahrenheit, how would this value change? If r is high, can we
conclude that a change in temperature causes the blooms to appear at different
times? Explain.
7. Calculate and interpret the residual for the first point in the data set.
8. Sketch the residual plot. What does it tell you?
9. Calculate and interpret the values of r 2 and se in the context of the problem.
10. If you were to use number of hours instead of number of days, how would the
values of r 2 and se change?
11. Sketch the prediction boundaries on your original graph ŷ  2se . What
percentage of observations should be within the boundaries? What percentage
are within the boundaries?
12. Predict the date of first bloom for an average March temperature of 3.5˚ using
a single value and an interval of values.
13. Which observation do you think is be most influential? Explain.
14. Which observation had the biggest residual? Is it unusually large?
15. Find an exponential model for the data. Is this a better model than the linear
model? Explain.
16. Find a power model for the data. Is this a better model than the linear model?
Explain.
Temp Days
4.0
14
5.4
8
3.2
11
2.6
19
4.2
14
4.7
14
4.9
14
4.0
21
4.9
9
3.8
14
4.0
13
5.1
11
4.3
13
1.5
28
3.7
17
3.8
19
4.5
10
4.1
17
6.1
3
6.2
3
5.1
11
5.0
6
4.6
9
4.0
11
THE FOLLOWING ARE TABLE OF CONTENTS FOR EACH UNIT THROUGH
1/22/07.
AP STATISTICS STUDENTS MUST PREPARE AND SUBMIT A PACKET FOR
EACH CHAPTER AFTER THE UNIT TEST.
NOTE CHAPTERS 6-8 WERE COMBINED
Prepare your Chapter
1 Table of Contents Packet
Remember, try to keep your papers in relatively close order.
It is acceptable to have a couple assignments in reverse order.
AP STATISTICS
ASSIGNMENT
1
HW6 CHAPTER 1 SUMMARY
9/1
ASSIGNMENT
2
8/25
ASSIGNMENT
3
ASSIGNMENT
4
ASSIGNMENT
5
ASSIGNMENT
6
SEXUAL DISCRIMINATION
ACTIVITY
HW2 NOTES 1-25
CLASSNOTES: INTRO. TO
STATISTICS
HW3 1.6,7,9,10
HW4 NOTES 30-48
ASSIGNMENT
7
ASSIGNMENT
8
8/31
8/31
ASSIGNMENT
9
ASSIGNMENT
10
ASSIGNMENT
11
ASSIGNMENT
12
ASSIGNMENT
13
HW5 1.14,15,19
CLASSNOTES: MEASURES
OF CENTRAL TENDANCY
COMPARING MEAN TO
MEDIAN
CLASSNOTES: CHAPTER 1
CLASSNOTES: CHAPTER 1
HW7 1.26,27,29,30,32
HW8 1.49
ASSIGNMENT
14
9/11
ASSIGNMENT
15
HW9 SPECIAL ASSIGNMENT
1A
CHAPTER 1 TEST
Prepare your Chapter
2 Table of Contents Packet
Remember, try to keep your papers in relatively close order.
8/28
8/28
8/29
8/30
9/1
9/5
9/6
9/5
9/6
9/8
It is acceptable to have a couple assignments in reverse order.
AP STATISTICS
ASSIGNMENT
1
ASSIGNMENT
2
ASSIGNMENT
3
ASSIGNMENT
4
ASSIGNMENT
5
ASSIGNMENT
6
ASSIGNMENT
7
ASSIGNMENT
8
ASSIGNMENT
9
ASSIGNMENT
10
ASSIGNMENT
11
ASSIGNMENT
12
ASSIGNMENT
13
ASSIGNMENT
14
ASSIGNMENT
15
ASSIGNMENT
16
ASSIGNMENT
17
ASSIGNMENT
18
Prepare your
NOTES: NORMAL
DISTRIBUTION
(BINOMIAL/COIN EX.)
NOTES: NORMAL CURVE
DENSITY CURVES
Z SCORES
HW 10 2.2-4, 6,7
NOTES: RELATING Z SCORES
TO AREA
MULTIPLE CHOICE TEST
FREE RESPONSE 05 #1
GRADED
HW 11 NOTES ON P. 83-97
HW 12 2.20,22-25
WARM UP (NORMAL)
NOTES: HISTOG. D.N. AND
NORMAL PROBABILITY
(QUANTILE) PLOT
HW 13 2.28,29
9/6
HW 14 2.39,41
HW 15 2.26
HW 16 2.46
HW 17 CHAPTER 2
SUMMARY
CHAPTER 2 TEST
9/20
9/20
9/22
9/25
red Chapter 3 Table of Contents Packet
Remember, try to keep your papers in relatively close order.
It is acceptable to have a couple assignments in reverse order.
It is acceptable to have assignments in descending order.
AP STATISTICS
9/7
9/11
9/12
9/12
9/13
9/14
9/15
9/15
9/18
9/18
9/19
9/19
9/28
ASSIGNMENT
1
AGE RESIDUAL ACTIVITY
9/20
ASSIGNMENT
2
ASSIGNMENT
3
ASSIGNMENT
4
9/20,21
9/25
9/26
ASSIGNMENT
5
ASSIGNMENT
6
NOTES: BIVARIATE DATA
NOTES: LSRL
HW 18 READ 107-122 DO
3.1,2,5,7
HW 19 3/8,9
NOTES: RESIDUALS
ASSIGNMENT
7
9/28
ASSIGNMENT
8
ASSIGNMENT
9
ASSIGNMENT
10
ASSIGNMENT
11
ASSIGNMENT
12
ASSIGNMENT
13
HW 20 3 INTERNET
ACTIVITIES
HW 21 READ 128-165
DO 3.20-22,24,28
WARM UP
NOTES: COEFFICIENT OF
DETERMINATION=R
SQUARED
HW 22 3.33,34,36-38
WARM UP
HW 23 3.41,50,52,58
ASSIGNMENT
14
ASSIGNMENT
15
10/9,10
10/10
ASSIGNMENT
16
ASSIGNMENT
17
2005 FREE RESPONSE#3
HW 24 CHAPTER 3
SUMMARY
HW 25 CH.3 REVIEW PACKET
TEST CHAPTER 3
Prepare your
red Chapter 4 Table of Contents Packet
Remember, try to keep your papers in relatively close order.
It is acceptable to have a couple assignments in reverse order.
It is acceptable to have assignments in descending order.
AP STATISTICS
9/27
9/26,10/2
10/2
10/3
10/3
10/5
10/5,6
10/9
10/11
10/13
ASSIGNMENT
1
Gypsy Moth problem
10/4
ASSIGNMENT
2
ASSIGNMENT
3
ASSIGNMENT
4
ASSIGNMENT
5
ASSIGNMENT
6
10/5
10/6
10/11
10/12
10/12
ASSIGNMENT
7
ASSIGNMENT
8
Butcher problem
Planet problem
4.2
HW 26 read and notes 176-195
Notes: extrapolation, lurking
variables
Notes: marginal distributions
HW 27 4.14
ASSIGNMENT
9
ASSIGNMENT
10
ASSIGNMENT
11
ASSIGNMENT
12
ASSIGNMENT
13
4.39
HW 28 read and notes 206-231
Notes: Simpson's Paradox
Notes: S e
HW 29 4.41,46
10/17
10/17
10/18
10/18
10/18
ASSIGNMENT
14
ASSIGNMENT
15
ASSIGNMENT
16
ASSIGNMENT
17
ASSIGNMENT
18
ASSIGNMENT
19
Cherry Blossom
HW 30 4.47,49
HW 31 Chapter 4 summary
Free Response 2004B #1
TEST CHAPTER 4 Part 1
TEST CHAPTER 4 PART 2
10/19,20
10/20
10/23
10/27
10/27
10/31
10/16,17
10/16
ALSO INCLUDE TEST CORRECTIONS ON CH. 4 TEST PART 1 AND STUDY
GUIDE IF COMPLETED.
Prepare your
yellow Chapter 5 Table of Contents Packet
Remember, try to keep your papers in relatively close order.
It is acceptable to have a couple assignments in reverse order.
It is acceptable to have assignments in descending order.
AP STATISTICS
ASSIGNMENT
1
Design study notes
10/21,22
ASSIGNMENT
2
*3 IMPORTANT
PRINCIPLES OF
EXPERIMENTAL DESIGN*
10/23
ASSIGNMENT
3
ASSIGNMENT
4
ASSIGNMENT
5
ASSIGNMENT
6
ASSIGNMENT
7
ASSIGNMENT
8
ASSIGNMENT
9
ASSIGNMENT
10
ASSIGNMENT
11
ASSIGNMENT
12
ASSIGNMENT
13
ASSIGNMENT
14
ASSIGNMENT
15
ASSIGNMENT
16
ASSIGNMENT
17
ASSIGNMENT
18
Random # 6/26 exercise line 127
HW33 5.1,3,4,14,16,19,21,22
HW34 5.8-12
HW35 DIRTY LITTLE SECRET
10/23
10/25
10/26
10/26
GETTYSBURG ADDRESS
MORE ON *3 IMPORTANT
PRINCIPLES OF
EXPERIMENTAL DESIGN*
HW36 R. 265-285 5.31-33,36
RIVER EXERCISE: STRATA
HW37 3 ARTICLES
HW38 R286-300 5.54,55,59
B-DAY SIMULATION AND 5
STEPS FOR SIMULATIONS
DENTISTS AND INFERENCE
EXAMPLE
HW40 CEREAL TOYS
SIMULATION
Chapter 5 Summary
CHAPTER 5 TEST
Free Response 2006 #5 -your
response and the sample
responses
10/30,31
11/1
11/2
11/3
11/3
11/6
11/6
11/8
11/9
11/9
11/16
11/22
ALSO INCLUDE TEST CORRECTIONS ON CH. 5 TEST AND STUDY GUIDE IF
COMPLETED.
Prepare your pink Chapters 6-8 Table of Contents Packet
Remember, try to keep your papers in relatively close order.
It is acceptable to have a couple assignments in reverse order.
It is acceptable to have assignments in descending order.
AP STATISTICS
ASSIGNMENT
1
HW39 Probability Proficiency
11/8
ASSIGNMENT
2
Notes: Conditional Probability
11/9
ASSIGNMENT
3
HW42 Titanic Survivors
11/14
ASSIGNMENT
4
Notes: Probability Summary
11/13
ASSIGNMENT
5
Notes: Permutations versus Combinations
11/13
ASSIGNMENT
6
Multistage problems: cab and boy boy 1/3 vs.
1/2
11/14
ASSIGNMENT
ASSIGNMENT
7
8
Notes: Bernoulli
Multistage: cancer
11/14,15
11/15
ASSIGNMENT
9
HW43 6.6,12,15,18,24,33
11/17
ASSIGNMENT
10
Multistage: drug presence
11/17
ASSIGNMENT
11
HW44 6.37,41,43,56
11/20
ASSIGNMENT
12
Keno
11/21
ASSIGNMENT
13
Class problmes
11/21
ASSIGNMENT
14
HW45 Chapter 6 Summary
11/22
ASSIGNMENT
ASSIGNMENT
15
16
11/27
11/28
ASSIGNMENT
17
HW46 Read and notes 367-405
Notes: Mux , Sigmax, Transformations on
Random Variables
HW47 7.2-5,13,14
ASSIGNMENT
18
HW48 7.19,22,23
11/29
ASSIGNMENT
19
HW49 7.31-33
11/29
ASSIGNMENT
20
7.28
11/29
ASSIGNMENT
21
Chapter 7 Summary Packet
11/28
ASSIGNMENT
22
Random Variable Worksheet (Tabor)
12/1
ASSIGNMENT
23
HW50 Chapter 8 notes
12/1
ASSIGNMENT
ASSIGNMENT
24
25
Chapter 6 Test
Notes: Binomial Distributions, 8.1-4
12/4
12/5
ASSIGNMENT
26
Simulating a Binomial Scenario
12/6
ASSIGNMENT
27
Notes: Geometric Distributions
12/7
ASSIGNMENT
28
8.27, 29, 12
12/8
ASSIGNMENT
29
HW51 8.6-9
12/7
ASSIGNMENT
30
HW52 8.11,15,16,19,22
12/12
ASSIGNMENT
31
Chapter 8 Summary Packet
12/12
ASSIGNMENT
32
Chapters 7 and 8 Test
12/14
ASSIGNMENT
33
Chapters 1-8 Reveiw Packet
12/11-18
Prepare your Chapter
9 Table of Contents Packet
Remember, try to keep your papers in relatively close order.
It is acceptable to have a couple assignments in reverse order.
AP STATISTICS
11/28
ASSIGNMENT
1
HW1 NOTES CH.9
1/10
ASSIGNMENT
2
1/10
ASSIGNMENT
3
ASSIGNMENT
4
ASSIGNMENT
5
ASSIGNMENT
6
ASSIGNMENT
7
ASSIGNMENT
8
CLASSNOTES: WHAT IS A
SAMPLE DISTRIBUTION?
CLASSNOTES: SAMPLE
DISTRIB-> SAMPLE.
PROPORTIONS
HW2 9.3,4,8
CLASSNOTES: PRACTICE
USING A NORMAL
DISTRIBUTION FOR A
BINOMIAL
HW3 9.9,10,12* USE 5 STEP
SIMULATION:0,1=EGGS
A)LINE 128 B) RANDINT
CLASSNOTES: CLT AND
CENTS
HW4 9.15,16,17
ASSIGNMENT
9
1/18
ASSIGNMENT
10
ASSIGNMENT
11
ASSIGNMENT
12
ASSIGNMENT
13
CLASSNOTES:
ILLUSTRATING THE CLT
HW5 9.19,20,21
9.23,25,26,28
HW6 9.31,37,39
HW7 CHAPTER 9 SUMMARY
ASSIGNMENT
14
CHAPTER 9 TEST
1/22
1/11
1/12
1/12
1/16
1/16,17
1/17
1/18
1/18,19
1/19
1/22