AP Statistics Syllabus



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 computer-generated 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.

Course Outline:

|Topics |Book Assignments |Assessments |

|Chapters 1 |Read: pp. 1-25 & pp. 30-48 |Chapter 1 |

|Graphical Displays | | |

|Random Variable definition |Homework: 1.6, 1.7, 1.9, 1.10, 1.14,17, | |

|Types of variables |1.19,1.26,1.27,1.29,1.30,1.32, 1.49 | |

|Description of graphs (center, spread, | | |

|shape, unusual features [gaps, clusters, |Handouts: | |

|outliers, etc.]) |Sexual Discrimination Activity (Tabor) | |

|Bar graphs |Special Assignment 1A (Support material from The Practice of | |

|Segmented bar graphs |Statistics: Yates, Moore, McCabe) | |

|Pie graphs |Chapter 1 summary (Adapted from Hipke) | |

|Stemplot | | |

|Back-to-back stemplots | | |

|Dotplot | | |

|Histograms | | |

|Cumulative relative frequency plot | | |

|(Ogive) | | |

|Scatterplots |Aprroximately 10 days | |

|Time plots | | |

|Chapter 2 |Read: pp. 64-79, 83-101 |Chapter 2 Test |

|Exploring Data | | |

|Measures of center |Homework: 2.2-4,6,7,20-26,28,29,39,41,46 | |

|Measures of spread | | |

|Outliers |Handouts: | |

|Modified boxplots |Free Response '05 #1 | |

|Parallel boxplots |Chapter 2 summary (Adapted from Hipke) | |

|Z-scores | | |

|Empirical rule |Aprroximately 13 days | |

|Chapter 3 |Read: pp. 106-122, 128-135, 137-165 |Chapter 3 Test |

|Scatterplots | | |

|Examining relationships |Homework: 3.1,2,5,7-9, 20-22, 24,25,28,33,34,36-38,41,50,52,58 | |

|Interpreting scatter plots and outliers | | |

|Correlation |Handouts: | |

|Least Squares Regression line |Age Residual Activity (Yates, Moore, McCabe) | |

|Facts about LSRL |Pickles Will Kill You (Hinders) | |

|Residual Plots and Influential outliers |Free Response '05 #3 | |

| |Chapter 3 summary (Adapted from Hipke) | |

| | | |

| |Internet Activity: explore various aspects of regression using the | |

| |following applets: | |

| | | |

| | | |

| | | |

| | | |

| |Aprroximately 14 days | |

|Chapter 4 |Read: pp. 176-197, 190-214 |Chapter 4 Test |

|More on Two-Variable Data | | |

|Exponential data and log rules |Homework: 4.2,14,39,41,46,47,49 | |

|Power data | | |

|Interpreting correlation and regression |Handouts: | |

|Relations in Categorical data |Comparing r squared (Teague) | |

|Simpson's Paradox |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 5 |Read: pp. 245-261, 265-284, 286-300 |Chapter 5 Test |

|Sampling & Experimental Design | | |

|Census |Homework: 5.1,3,4,8-12,14,16,19,21,22,31-33,36,54,55,59 |Design Experiment Project |

|Population | | |

|Sample |Handouts: | |

|Voluntary response sample |Gettysburg Address (Tabor) | |

|Confounded variables |River Exercise (Tabor) | |

|Sampling methods: SRS, stratified, |Dentist-Scope of Inference (Tabor) | |

|systematic, cluster, multi-stage sampling |Cereal Toy Simulation (Tabor) | |

|Sources of bias in samples |Cherry Blossom (Teague) | |

|Probability sample |Articles: Polling's Dirty Little Secret, Holocaust Denial, Emily's | |

|Completely randomize experiment |Experiment | |

|Randomized block experiment |Free Response '06 #5 | |

|Blind, double blind, |Chapter 5 summary (Adapted from Hipke) | |

|Matched pairs experiment | | |

|Observational studies | | |

|Principles of experiment design: | | |

|randomization, replication & control, | | |

|Sources of bias in experiments: | | |

|confounding, placebo effect, blinding | | |

|Statistically significant | | |

|Simulations | | |

| | | |

| | | |

| | | |

| | | |

| | | |

| | | |

| |Aprroximately 15 days | |

|Chapter 6 |Read: pp. 310-316, 317-337, 341-359 |Chapter 6 Test |

|Population of interest & generalizing of | | |

|results |Homework: 6.6,12,15,18,24,33 | |

|Probability | | |

|Probability rules for addition & |Handouts: | |

|multiplication |Probability Proficiency | |

|Complements |Titanic-Conditional Probability (Tabor) | |

|Mutually exclusive events |Multistage (Hinders) | |

|Independent vs. disjoint events |Multistage (Tabor) | |

|Conditional probability |Chapter 6 summary (Adapted from Hipke) | |

|Contingency tables | | |

| |Aprroximately 7 days | |

|Chapter 7 |Read: pp. 366-380 |Chapter 7 Test |

|Discrete distributions | | |

|Random Variables |Homework: 7.2-5,13,14,19,22,23,28,31-33 | |

|Expected Value | | |

|Means & standard deviations of random |Handouts: | |

|variables |Keno (Tabor) | |

|Transformations, sums and differences |Chapter 7 summary (Adapted from Hipke) | |

|Law of large numbers | | |

| | | |

| | | |

| |Aprroximately 7 days | |

|Chapter 8 |Read: 414-432, 434-453 |Chapter 8 Test |

| | | |

|Probability distributions |Homework: 8.1-4,6-9,11,12,15,16,19,22,27,29 |1st Semester Exam |

|Binomial distributions | | |

|Geometric distributions | | |

|Cumulative distribution functions |Handouts: | |

|Mean & standard deviation of the above |Chapter 8 summary (Adapted from Hipke) | |

|distributions |Review packet: Chapters 1-8 (Hipke) | |

| | | |

| | | |

| | | |

| | | |

| |Aprroximately 8 days | |

|Chapter 9 Sampling Distributions ([pic]) |Read: pp. 454-469, 481-497 |Chapter 9 Test |

|Mean & standard deviation formulas | | |

|Central Limit Theorem |Homework: 9.1-6,8-10,15-19,26,28,30-33,35 | |

|Parameter versus statistic | | |

|Simulate sampling distributions |Internet Activity – investigate the Central Limit Theorem using | |

|APPROXIMATELY NORMAL |ruf.rice.edu/~lane/stat_sim/sampling_dist/index.html | |

|Law of large numbers | | |

| |Handouts: | |

| |Chapter 9 summary (Adapted from Hipke) | |

| |To be determined | |

| | | |

| |Aprroximately 9 days | |

|Chapter 10 |Read: pp. 504-527, 531-556, 567-577 |Chapter 10 Test |

|Confidence Intervals for means (one sample| | |

|& matched pairs) |Homework: | |

|Critical values |10.1-3,5,6,9,13-15,17,26-29,31,35,37,39,41,44,58,59,61,66,67,69,71,| |

|Choosing sample size |80,81 | |

|Margin of error | | |

|Properties of confidence intervals | | |

|Calculation & interpretation of confidence|Handouts: | |

|intervals for means |Chapter 10 summary (Adapted from Hipke) | |

|Significance tests |To be determined | |

|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 | | |

| | | |

| | | |

| | | |

| |Aprroximately 10 days | |

|Chapter 11 |Read: pp. 586-613 |Chapter 11 Test |

|Inference for Distributions | | |

|Inference for the mean of a population |Homework: 11.1-7,11-13,15,17,19,20,31-33,37,40,41,43,44,58,64 | |

|Standard error | | |

|One sample t statistic |Activities: | |

|T distribution |Power Applet Activity – investigate the effects of sample size, | |

|Degrees of freedom |alpha, and difference between null & alternative means on power | |

|Matched pairs t procedures |using | |

|Robustness | | |

|Two sample procedures | | |

|Interpretation of results |Handouts: | |

| |Chapter 11 summary (Adapted from Hipke) | |

| |To be determined | |

| | | |

| |Aprroximately 13 days | |

|Chapter 12 |Read: pp. 658-675, 678-694 |Chapter 12 Test |

|Inference for Populations | | |

|Inference for a population proportion |Homework: 12.1-4,6,7,9,10,17,20-24 | |

|Assumptions for inference for population | | |

|proportions |Handouts: | |

|Large sample inference for a population |Chapter 12 summary (Adapted from Hipke) | |

|proportion |To be determined | |

|Choosing the sample size | | |

|Sample size for desired margin of error | | |

|Comparing two proportions | | |

|Significance test for comparing two | | |

|proportions | | |

| | | |

| | | |

| |Aprroximately 7 days | |

|Chapter 13 |Read: pp. 700-716 |Test on Chapter 13 |

|Inference for Tables: Chi-Square | | |

|Procedures |Homework: 13.1-3,8-10,13-16,19,21,28,37 | |

|Test for goodness of fit | | |

|Chi-square statistic |Handouts: | |

|Degrees of freedom |Chapter 13 summary (Adapted from Hipke) | |

|Chi-square distribution with n-1 degrees |To be determined | |

|of freedom | | |

|Two-way tables | | |

|Expected counts confidence intervals | | |

| | | |

| |Aprroximately 5 days | |

|Chapter 14 |Read: pp. 752-767, 769-772, 774-781 |Test on Chapter 14 |

|Inference for Regression | | |

|Assumptions for regression inference |Homework: 14.1,2,4,6,8,9 | |

|Standard error about the least-squares | | |

|line | | |

|Confidence interval for regression slope |Handouts: | |

|Significance tests for regression slope |Chapter 14 summary (Adapted from Hipke) | |

| |To be determined | |

| | | |

| |Aprroximately 5 days | |

|Review and Practice |Practice exams |AP Exam, Final exam |

| | | |

| |Aprroximately 15 days | |

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 [pic] of the company's employees were 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.

|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 |

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 [pic] and [pic] 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 [pic] and [pic] change?

11. Sketch the prediction boundaries on your original graph [pic]. 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.

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 |SEXUAL DISCRIMINATION ACTIVITY |8/25 |

|ASSIGNMENT 3 |HW2 NOTES 1-25 |8/28 |

|ASSIGNMENT 4 |CLASSNOTES: INTRO. TO STATISTICS |8/28 |

|ASSIGNMENT 5 |HW3 1.6,7,9,10 |8/29 |

|ASSIGNMENT 6 |HW4 NOTES 30-48 |8/30 |

|ASSIGNMENT 7 |HW5 1.14,15,19 |8/31 |

|ASSIGNMENT 8 |CLASSNOTES: MEASURES OF CENTRAL TENDANCY |8/31 |

|ASSIGNMENT 9 |COMPARING MEAN TO MEDIAN |9/1 |

|ASSIGNMENT 10 |CLASSNOTES: CHAPTER 1 |9/5 |

|ASSIGNMENT 11 |CLASSNOTES: CHAPTER 1 |9/6 |

|ASSIGNMENT 12 |HW7 1.26,27,29,30,32 |9/5 |

|ASSIGNMENT 13 |HW8 1.49 |9/6 |

|ASSIGNMENT 14 |HW9 SPECIAL ASSIGNMENT 1A |9/11 |

|ASSIGNMENT 15 |CHAPTER 1 TEST |9/8 |

Prepare your Chapter 2 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 |NOTES: NORMAL DISTRIBUTION (BINOMIAL/COIN EX.) |9/6 |

|ASSIGNMENT 2 |NOTES: NORMAL CURVE |9/7 |

|ASSIGNMENT 3 |DENSITY CURVES |9/11 |

|ASSIGNMENT 4 |Z SCORES |9/12 |

|ASSIGNMENT 5 |HW 10 2.2-4, 6,7 |9/12 |

|ASSIGNMENT 6 |NOTES: RELATING Z SCORES TO AREA |9/13 |

|ASSIGNMENT 7 |MULTIPLE CHOICE TEST |9/14 |

|ASSIGNMENT 8 |FREE RESPONSE 05 #1 GRADED |9/15 |

|ASSIGNMENT 9 |HW 11 NOTES ON P. 83-97 |9/15 |

|ASSIGNMENT 10 |HW 12 2.20,22-25 |9/18 |

|ASSIGNMENT 11 |WARM UP (NORMAL) |9/18 |

|ASSIGNMENT 12 |NOTES: HISTOG. D.N. AND NORMAL PROBABILITY (QUANTILE) PLOT |9/19 |

|ASSIGNMENT 13 |HW 13 2.28,29 |9/19 |

|ASSIGNMENT 14 |HW 14 2.39,41 |9/20 |

|ASSIGNMENT 15 |HW 15 2.26 |9/20 |

|ASSIGNMENT 16 |HW 16 2.46 |9/22 |

|ASSIGNMENT 17 |HW 17 CHAPTER 2 SUMMARY |9/25 |

|ASSIGNMENT 18 |CHAPTER 2 TEST |9/28 |

Prepare your 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

|ASSIGNMENT 1 |AGE RESIDUAL ACTIVITY |9/20 |

|ASSIGNMENT 2 |NOTES: BIVARIATE DATA |9/20,21 |

|ASSIGNMENT 3 |NOTES: LSRL |9/25 |

|ASSIGNMENT 4 |HW 18 READ 107-122 DO 3.1,2,5,7 |9/26 |

|ASSIGNMENT 5 |HW 19 3/8,9 |9/27 |

|ASSIGNMENT 6 |NOTES: RESIDUALS |9/26,10/2 |

|ASSIGNMENT 7 |HW 20 3 INTERNET ACTIVITIES |9/28 |

|ASSIGNMENT 8 |HW 21 READ 128-165 |10/2 |

| |DO 3.20-22,24,28 | |

|ASSIGNMENT 9 |WARM UP |10/3 |

|ASSIGNMENT 10 |NOTES: COEFFICIENT OF DETERMINATION=R SQUARED |10/3 |

|ASSIGNMENT 11 |HW 22 3.33,34,36-38 |10/5 |

|ASSIGNMENT 12 |WARM UP |10/5,6 |

|ASSIGNMENT 13 |HW 23 3.41,50,52,58 |10/9 |

|ASSIGNMENT 14 |2005 FREE RESPONSE#3 |10/9,10 |

|ASSIGNMENT 15 |HW 24 CHAPTER 3 SUMMARY |10/10 |

|ASSIGNMENT 16 |HW 25 CH.3 REVIEW PACKET |10/11 |

|ASSIGNMENT 17 |TEST CHAPTER 3 |10/13 |

| | | |

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

|ASSIGNMENT 1 |Gypsy Moth problem |10/4 |

|ASSIGNMENT 2 |Butcher problem |10/5 |

|ASSIGNMENT 3 |Planet problem |10/6 |

|ASSIGNMENT 4 |4.2 |10/11 |

|ASSIGNMENT 5 |HW 26 read and notes 176-195 |10/12 |

|ASSIGNMENT 6 |Notes: extrapolation, lurking variables |10/12 |

|ASSIGNMENT 7 |Notes: marginal distributions |10/16,17 |

|ASSIGNMENT 8 |HW 27 4.14 |10/16 |

|ASSIGNMENT 9 |4.39 |10/17 |

|ASSIGNMENT 10 |HW 28 read and notes 206-231 |10/17 |

|ASSIGNMENT 11 |Notes: Simpson's Paradox |10/18 |

|ASSIGNMENT 12 |Notes: S e |10/18 |

|ASSIGNMENT 13 |HW 29 4.41,46 |10/18 |

|ASSIGNMENT 14 |Cherry Blossom |10/19,20 |

|ASSIGNMENT 15 |HW 30 4.47,49 |10/20 |

|ASSIGNMENT 16 |HW 31 Chapter 4 summary |10/23 |

|ASSIGNMENT 17 |Free Response 2004B #1 |10/27 |

|ASSIGNMENT 18 |TEST CHAPTER 4 Part 1 |10/27 |

|ASSIGNMENT 19 |TEST CHAPTER 4 PART 2 |10/31 |

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 |Random # 6/26 exercise line 127 |10/23 |

|ASSIGNMENT 4 |HW33 5.1,3,4,14,16,19,21,22 |10/25 |

|ASSIGNMENT 5 |HW34 5.8-12 |10/26 |

|ASSIGNMENT 6 |HW35 DIRTY LITTLE SECRET |10/26 |

|ASSIGNMENT 7 |GETTYSBURG ADDRESS |10/30,31 |

|ASSIGNMENT 8 |MORE ON *3 IMPORTANT PRINCIPLES OF EXPERIMENTAL DESIGN* |11/1 |

|ASSIGNMENT 9 |HW36 R. 265-285 5.31-33,36 |11/2 |

|ASSIGNMENT 10 |RIVER EXERCISE: STRATA |11/3 |

|ASSIGNMENT 11 |HW37 3 ARTICLES |11/3 |

|ASSIGNMENT 12 |HW38 R286-300 5.54,55,59 |11/6 |

|ASSIGNMENT 13 |B-DAY SIMULATION AND 5 STEPS FOR SIMULATIONS |11/6 |

|ASSIGNMENT 14 |DENTISTS AND INFERENCE EXAMPLE |11/8 |

|ASSIGNMENT 15 |HW40 CEREAL TOYS SIMULATION |11/9 |

|ASSIGNMENT 16 |Chapter 5 Summary |11/9 |

|ASSIGNMENT 17 |CHAPTER 5 TEST |11/16 |

|ASSIGNMENT 18 |Free Response 2006 #5 -your response and the sample |11/22 |

| |responses | |

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 7 |Notes: Bernoulli |11/14,15 |

|ASSIGNMENT 8 |Multistage: cancer |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 15 |HW46 Read and notes 367-405 |11/27 |

|ASSIGNMENT 16 |Notes: Mux , Sigmax, Transformations on Random Variables |11/28 |

|ASSIGNMENT 17 |HW47 7.2-5,13,14 |11/28 |

|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 24 |Chapter 6 Test |12/4 |

|ASSIGNMENT 25 |Notes: Binomial Distributions, 8.1-4 |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

|ASSIGNMENT 1 |HW1 NOTES CH.9 |1/10 |

|ASSIGNMENT 2 |CLASSNOTES: WHAT IS A SAMPLE DISTRIBUTION? |1/10 |

|ASSIGNMENT 3 |CLASSNOTES: SAMPLE DISTRIB-> SAMPLE. PROPORTIONS |1/11 |

|ASSIGNMENT 4 |HW2 9.3,4,8 |1/12 |

|ASSIGNMENT 5 |CLASSNOTES: PRACTICE USING A NORMAL DISTRIBUTION FOR A |1/12 |

| |BINOMIAL | |

|ASSIGNMENT 6 |HW3 9.9,10,12* USE 5 STEP SIMULATION:0,1=EGGS A)LINE 128 B)|1/16 |

| |RANDINT | |

|ASSIGNMENT 7 |CLASSNOTES: CLT AND CENTS |1/16,17 |

|ASSIGNMENT 8 |HW4 9.15,16,17 |1/17 |

|ASSIGNMENT 9 |CLASSNOTES: ILLUSTRATING THE CLT |1/18 |

|ASSIGNMENT 10 |HW5 9.19,20,21 |1/18 |

|ASSIGNMENT 11 |9.23,25,26,28 |1/18,19 |

|ASSIGNMENT 12 |HW6 9.31,37,39 |1/19 |

|ASSIGNMENT 13 |HW7 CHAPTER 9 SUMMARY |1/22 |

|ASSIGNMENT 14 |CHAPTER 9 TEST |1/22 |

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