Download AP Statistics Student Version 13

Advanced Placement Statistics
Renée Pittelkau, Room 101
River Ridge HS
[email protected]
(360)412-4820
The HAWK WAY
R - Respectful
R - Responsible
H - Honorable
S - Successful
COURSE DESCRIPTION
This course introduces students to the major concepts and tools for collecting, analyzing, and drawing
conclusions from data. Students are exposed to four broad conceptual themes: data exploration, survey
planning, probability and statistical inference. Lecture is minimized with students actively engaged in
discovery, exploration, and communication of statistical relationships and concepts. The teacher’s role
is to guide and refine student discoveries, inferences, and communication using appropriate statistical
language and vocabulary. Students will draw connections between design, analysis, and conclusions
as their standard practice. Students will work individually as well as in small groups to allow
discussions to take place about statistical topics such as inference and methodology. Both written and
oral communications are completed with practice from the textbook, worksheets, practice AP
Questions, projects, and assessments.
TEXT BOOK
The Practice of Statistics for AP* (4th edition), by Starnes, Yates, and Moore, W.H. Freeman &
Company., 2010. (E-book)
CLASSROOM PROCEDURES & POLICIES
 Good attendance is critical for success in Mathematics. The school’s Attendance and Tardy Policy
is strictly enforced. When absent, it is the student’s responsibility to complete the missed
assignments. Students have the assignment sheet for the entire year with all important dates
outlined.
 Students should have a three ring binder or graphing notebook (folder) dedicated to just AP
Statistics. Notebooks will be checked at the end of every Chapter and points will be given based
on # of Book Problems completed as well as in class notes taken. This notebook will contain the
following:
 Statistical Tools and Notes: tables, formulas, calculator instructions, example problems
and notes done in class.
 Activities & Free-Response Problems: You will have worksheets, handouts and free
response problems to work in every chapter. They are useful with exam preparation.
 Quizzes: Keep your quizzes as you will want to refer to them to prepare for your Unit
Assessments, Midterm, Final and AP Exam.
 Book Problems: They will be assigned daily, be sure to follow your syllabus. Problems
will be answered completely, work will be shown and all problems will be attempted
prior to being turned in for credit. I will collect homework (your notebooks) at the end
of each Chapter. Homework needs to be completed daily to keep up with the fast pace
of the class.
 Cell phones will be turned off during class time.
TECHNOLOGY
1
The Practice of Statistics textbook is an on-line textbook (e-book), students must have internet
access at home to complete the daily work and study the material from the textbook.
The AP Statistics curriculum demands a graphing calculator. Because of this requirement, each
student should have a TI-83 or TI 84 graphing calculator (TI-84 preferred). Other graphing
calculators could be used, but support of those calculators will not be offered in this course.
Calculators for student use may be checked out in the library for the school year. The student will
learn how to use computerized data for statistical purposes. The course teaches students to routinely
and effectively use technology to develop an understanding of the principles and practices of statistics.
The following syllabus integrates the instruction of technological practices and uses all resources
available. The statistical themes of exploring and analyzing data, sampling and experimentation,
anticipating patterns, and statistical inference are completed using technology.
GRADING
The overall grade will be determined as follows:
 Free-Response Question(s): 2-6 every Chapter
(10% of total grade)
 Homework/Class Activities & Participation, Notebook Check
(20% of total grade)
 Assessments, Quizzes, & Projects
(70% of total grade)
Grading Scale:
92% - 
A
82 - 91%
B
70 - 81%
C
Below 70%
F
AP Statistics Topic Outline
The outline of the major topics covered in the AP Statistics course follows. The order given here works
well to define the scope of the course, but you may find that a different sequence for covering the material
is more suitable for your class.
I. Exploring Data: Observing Patterns and Departures from Patterns (20% - 30%)
Exploratory analysis of data makes use of graphical and numerical techniques to study patterns
and departures from patterns. Emphasis should be placed on interpreting information from
graphical and numerical displays and summaries.
A) Constructing and interpreting graphical displays of distributions of univariate data (dotplot,
stemplot, histogram, cumulative frequency plot)
1) Center and spread
2) Clusters and gaps
3) Outliers and other unusual features
4) Shape
B) Summarizing distributions of univariate data
1) Measuring center: median, mean
2) Measuring spread: range, interquartile range, standard deviation
3) Measuring positions: quartiles, percentiles, standardized scores (z-scores)
4) Using boxplots
5) The effect of changing units on summary measures
2
C) Comparing distributions of univariate data (boxplots, back-to-back stemplots, parallel boxplots)
1) Comparing center and spread: within group, between group variation
2) Comparing clusters and gaps
3) Comparing outliers and other unusual features
4) Comparing shapes
D) Exploring bivariate data
1) Analyzing patterns in scatterplots
2) Correlation and linearity
3) Least squares regression line
4) Residual plots, outliers, and influential points
5) Transformations to achieve linearity, logarithmic and power transformations
E) Exploring Categorical Data
1) Frequency tables and bar charts
2) Marginal and joint frequencies for two-way tables
3) Conditional relative frequencies and association
4) Comparing distributions using bar charts
II. Sampling and Experimentation: Planning and conducting a study (10% - 15%)
Data must be collected according to a well-developed plan if valid information on a conjecture is
to be obtained. This plan includes clarifying the question and deciding upon a method of data
collection and analysis.
A) Overview of methods of data collection
1) Census
2) Sample survey
3) Experiment
4) Observational study
B) Planning and conduction surveys
1) Characteristics of a well-designed and well-conducted survey
2) Populations, samples, and random selection
3) Sources of bias in sampling and surveys
4) Sampling Methods, including simple random sampling, stratified and cluster sampling
C) Planning and conducting experiments
1) Characteristics of a well-designed and well-conducted experiment
2) Treatments, control groups, experimental units, random assignments, and replication
3) Sources of bias and confounding, including placebo effect and blinding
4) Completely randomized design
5) Randomized block design, including matched pairs design
D) Generalizability of results and types of conclusions that can be drawn from observational studies,
experiments, and surveys
III. Anticipating Patterns: Exploring random phenomena using probability and simulation (20% 30%)
Probability is the tool used for anticipating what the distribution of data should look like under a
given model.
A) Probability
1) Interpreting probability, including long-run relative frequency interpretation
2) “Law of large numbers” concept
3) Addition rule, multiplication rule, conditional probabilities, and independence
4) Discrete random variables and their probability distributions, including binomial and geometric
5) Simulation of random behavior and probability distributions
6) Mean (expected value) and standard deviation of a random variable, and linear transformation
of a random variable.
3
B) Combining independent random variables
1) Notion of independence verses dependence
2) Mean and standard deviation for sums and differences of independent random variables
C) The normal distribution
1) Properties of the normal distribution
2) Using tables of the normal distribution
3) The normal distribution as a model for measurements
D) Sampling distributions
1) Sampling distribution of a sample proportion
2) Sampling distribution of a sample mean
3) Central Limit Theorem
4) Sampling distribution of a difference between two independent sample proportions
5) Sampling distribution of a difference between two independent sample means
6) Simulation of sampling distributions
7) t-distribution
8) Chi-square distribution
IV: Statistical Inference: Estimating population parameters and testing hypotheses (30% - 40%)
Statistical inference guides the selection of appropriate models.
A) Estimation (point estimators and confidence intervals)
1) Estimating population parameters and margins of error
2) Properties of point estimators, including unbiasedness and variability
3) Logic of confidence intervals, meaning confidence level and confidence intervals, and
properties of confidence intervals
4) Large sample confidence interval for a proportion
5) Large sample confidence interval for a difference between two proportions
6) Confidence interval for a mean
7) Confidence interval for a difference between two means (unpaired and paired)
8) Confidence interval for the slope of a least-squares regression line
B) Tests of significance
1) Logic of significance testing, null and alternative hypotheses; p-values; one- and two-sided
tests; concepts of Type I and Type II errors; concept of power
2) Large sample test for a proportion
3) Large sample test for a difference between two proportions
4) Test for a mean
5) Test for a difference between two means (unpaired and paired)
6) Chi-square test for goodness of fit, homogeneity of proportions, and independence (one- and
two-way tables)
4
Return this page to Mrs. Pittelkau, by Monday September 9, 2013.
Keep Syllabus in your binder for reference for the entire year.

I have read and understand the course expectations for AP Statistics, including the fact that
students must have internet access in order to complete assigned work and review textbook.
 I will do my best to be a productive and active member of this class.
 I will complete all work to the best of my ability and never give up.
 I will follow class expectations and be respectful of all those around me.
 I understand the consequences for my actions
Student: _______________________________ ______________________________
print name
sign name

I have read and understand AP Statistics expectations for my student. I will do my best to support
my young adult and teacher this year. I also understand that my student must have internet
access in order to complete assigned work and study.

I am aware that progress reports will be handed out at the end of each Unit, which will be about
every six to eight weeks. Grades can also be checked on Skyward and will be updated at the end of
every Chapter.

I understand that I may contact the teacher at any time with concerns for my student or just to
check in. ([email protected])
Please print neatly so I can keep in contact with you. Communication is important to me. Also please indicate
which adult I should contact first (check box next to name) if there is a preference.
 Parent/Guardian: _________________________ ____________________________
print name
sign name
home # ___________________ work # __________________
e-mail ________________________
 Parent/Guardian: _______________________
______________________________
print name
sign name
home # ___________________ work # __________________
e-mail ________________________
Date Signed: __________________
Please share any other information you feel is important for me to know so that I can help your student
become for successful.
5
AP Statistics Outline for the Year
Chapter 1: Exploring Data
Introduction: Data Analysis:Making Sense of Data
1.1 Analyzing Categorical Data
1.2 Displaying Quantitative Data with Graphs
1.3 Describing Quantitative Data with Numbers
Chapter 1
Date
9/4
9/5
9/6
9/9
9/10
9/11
Stats
Intro
Pg. 2 - 6
1.1
Pg.8-12
1.1
Pg.12-21
1.2
Pg.27-34
1.2
Pg.35-42
1.3
Pg.50-58
9/12
1.3
Pg.58-68
9/13
Review
9/16
Review
9/17
Test
9/18
Wrap-up
Lesson & Objectives
Identify individuals and variables, classify as quantitative or categorical, identify
units of measure
Bar Graphs and Pie Charts, Graphs : Good or Bad
Homework
# 3, 5, 7, 8
Two-Way Tables and Marginal Distributions, Relationships Between Categorical
Variables: Conditional Distributions, Organizing a Statistical Problem
Dotplots, Describing Shape, Comparing Distributions, Stemplots
# 21, 23, 25, 2732
# 37, 39, 41, 45
1.1 Worksheet due
Histograms, Using Histograms Wisely, Technology: Making Histograms on the
Calculator
Measuring Center : Mean and Median, Comparing Mean and Median, Measuring
Spread: IQR, Identifying Outliers
1.2 Worksheet due
Five Number Summary and Boxplots, Measuring Spread : Standard Deviation,
Choosing Measures of Center and Spread, Technology : Making Boxplots on the
calculator, Computing Numerical Summaries on the Calculator
Review for Chapter 1 Test,
1.3 Worksheet due
Review for Chapter 1 Test
# 11, 15, 17
#53, 57, 59, 60,
69-74
# 79, 81, 83, 89
# 91, 97, 107-110
Study for Test
Study for Test
Chapter 1 Test, Notebook Check (HW: 40 problems), FR Packet due
Go over Chapter 1Test & Free Response
Share completed and updated grades after 1 chapter. check out e-books
Chapter 2: Modeling Distributions of Data
2.1 Describing Location in a Distribution
2.2 Normal Distributions
Chapter 2
Date
9/19
9/20
9/23
9/24
Stats
2.1
Pg. 84-91
2.1
Pg. 92-103
2.2
Pg.110-119
9/26
2.2
Pg.119-124
2.2
Pg.124-129
Review
9/27
Test
9/25
Lesson & Objectives
Introduction, Measuring Position: Percentiles, Cumulative Relative Frequency
Graphs, Measuring Position: z-scores
Transforming Data, Density Curves
Normal Distributions, The 68-95-99.7 Rule, The Standard Normal Distribution,
Technology: Standard Normal Curve Calculations with the Calculator and with an
Applet
2.1 Worksheet due
Normal Distribution Calculations, Technology: Normal Curve, Calculations with
the Calculator and with an Applet
Assessing Normality, Normal Probability Plots on the Calculator
2.2 Worksheet due
Review for Chapter 2 Test
Homework
# 5, 7, 9, 11,
15
# 19, 21, 31,
33-38
# 41, 43, 47,
49, 51
#53, 57, 59
# 63, 68, 6974
Study for Test
Chapter 2 Test, Notebook Check HW: (30 problems), FR Packet due
6
Chapter 3: Describing Relationships
3.1 DOFS
3.2 Describing Relationships and using Correlation
Chapter 3
Date
9/30
Stats
Intro & 3.1
Pg.141-150
10/1
3.1
Pg.150-156
Work
10/2
10/3
3.2
Pg.164-171
10/4
3.2
Pg.171-178
10/7
3.2
Pg.179-181
3.2
Pg.181-189
Review
10/8
10/9
Lesson & Objectives
Activity: CSI Stats, Explanatory and response variables
Displaying relationships: scatterplots (interpreting), Technology: Scatterplots
on the Calculator
Measuring linear association: correlation, facts about correlation, Technology:
Correlation and Regression Applet
Work Day
Homework
# 5,6, 7, 8, 13
Least-squares regression, interpreting a regression line, making prediction,
Technology: Least-Squares Regression Lines on the Calculator
3.1 Worksheet due
Residuals and the least-squares regression line, calculating the equation of the
least-squares regression line. Technology: Residual Plots and s on the
calculator
How well the line fits the data: residual plots. How well the line fits the data:
the role of r2 in regression
Interpreting computer regression output, Correlation and regression wisdom
3.2 Worksheet due
Review for Chapter 3 Test, Go over Chapter 3 Review Exercises
# 35, 39, 41
10/10
Test
Chapter 3 Test Notebook Check HW: (38 problems), FR Packet due
10/14
Final
Go over Test and Review for Unit 1Assessment
10/1510/16
10/17
Unit Test
Unit I Assessment
Wrap-up
Go over Unit I Assessment and share updated grades after 20%-30% of AP
Test has been covered.
# 15-18, 21, 27-32
# 43, 45, 47, 49
# 53, 55, 57
# 63, 65, 67,71-78
Study for Test
Chapter 4: Designing Studies
4.1 Sampling and Surveys
4.2 Experiments
4.3 Using Studies Wisely
Chapter 4
Date
10/18
Stats
4.1
Pg. 206-215
10/21
10/30
4.1
Pg. 215-219
4.1
Pg. 220-224
4.2
pg. 231-236
4.2
Pg. 236-242
4.2
Pg. 242-246
4.2
Pg. 246-251
4.3
Pg. 261-264
Review
10/31
Review
11/1
Test
Chapter 4 Test Notebook Check HW: (44 problems), FR Packet due
11/4-8
Final
Review Chapters 1-4. Do a mini-mock exam over all 4 chapters taught so
far
Unit II Assessment
10/22
10/23
10/24
10/25
10/28
10/29
Lesson & Objectives
Introduction, Sampling and Surveys, How to Sample Badly, How to Sample
Well, Random Samples, Technology: Using a calculator to generate a
random sample
Other Sampling Methods
Homework
# 1, 3, 5, 9, 11
Inference for Sampling, Sample Surveys: What can go wrong?
# 29, 31, 33,
35, 37-42
# 45, 49, 51
Observational Study vs Experiments, The Language of Experiments, How to
Experiment Badly
4.1 Worksheet due
How to Experiment Well, Three Principles of Experimental Design
# 17, 21, 23, 25
# 55, 59, 65, 67
Experiments: What Can Go Wrong? Inference for Experiments
# 69, 73, 75
Blocking, Matched Pairs Design
# 79, 81, 83, 85,
91-98
# 105, 107
Scope of Inference, the Challenges of Establishing Causation
4.2 Worksheet due
Review, mini-quiz
4.1- 4.3 Review Worksheet due
Review for Chapter 4 Test, Go over Chapter 4 Review Exercises
Study for Test
7
Chapter 5: Probability: What Are The Chances?
5.1 Randomness, Probability and Simulation
5.2 Probability Rules
5.3 Conditional Probability and Independence
Chapter 5
Date
11/12
11/13
11/14
11/15
11/18
Stats
5.1
Pg.281-288
5.1
Pg.289-293
5.2
Pg.299-303
5.2
Pg.303-309
5.3
Pg.312-321
Lessons & Objectives
Introduction, The Idea of Probability, Myths about Randomness
Homework
# 1, 3, 7, 9, 13
Simulation, Technology: Random Numbers with Calculators
# 15, 17, 19,
22, 25, 27, 29
# 31-36, 39,
41, 43, 45
# 51, 53, 55,
57-60
# 63, 65, 67,
69, 75, 77, 79
Probability Models, Basic Rules of Probability
5.1 Worksheet due
Two-Way Tables and Probability, Venn Diagrams and Probability
What is Conditional Probability? Conditional Probability and
Independence, Tree Diagrams and the General Multiplication Rule
5.2 Worksheet due
Independence: A Special Multiplication Rule, Calculating
Conditional Probabilities
11/19
5.3
Pg.321-327
11/20
Review
Review for Chapter 5 Test
11/21
11/22
Review
Test
5.3 Worksheet due
Review for Chapter 5 Test
Chapter 5 Test Notebook Check HW: (46 problems), FR Packet
due
# 83, 85, 87,
91, 93, 95, 97,
104-106
Study for Test
Chapter 6: Random Variables
6.1 Discrete and Continuous Random Variables
6.2 Transforming and Combining Random Variables
6.3 Binomial and Geometric Random Variables
Chapter 6
Date
11/25
11/26
11/27
12/2
12/3
12/4
12/5
12/6
12/9
12/10
12/11
Stats
6.1
Pg.339-346
6.1
Pg.346-352
6.2
Pg.358-363
6.2
Pg.364-376
6.3
Pg.382-390
6.3
Pg.390-397
6.3
Pg.397-401
Review
Review
Test
Lesson & Objectives
Introduction, Discrete Random Variables, Mean (Expected Value)
of a Discrete Random Variable
Standard Deviation (and Variance) of a Discrete Random
Variable, Continuous Random Variables, Technology : Analyzing
Random Variables on the Calculator
Linear Transformations
6.1 Worksheet due
Combining Random Variables, Combining Normal Random
Variables
Binomial Settings and Binomial Random Variables, Binomial
Probabilities, Technology : Binomial Probabilities on the
Calculator
6.2 Worksheet due
Mean and Standard Deviation of a Binomial Distribution,
Binomial Distributions in Statistical Sampling
Geometric Random Variables, Technology : Geometric
Probabilities on the Calculator
Review for Chapter 6 Test
6.3 Worksheet due
Review for Chapter 6 Test
Chapter 6 Test Notebook Check HW: (41 problems), FR
Packet due
Catch Up Day
Homework
# 1, 5, 7, 9, 13
# 14, 18, 23, 25, 2730
# 37, 41, 43, 45
# 49, 51, 57, 58, 63,
65, 66
# 69, 71, 73, 75, 77
# 81,83, 85, 87
# 91, 95, 99, 101105
8
Chapter 7: Sampling Distributions
7.1 What Is a Sampling Distribution?
7.2 Sample Proportions
7.3 Sample Means
Chapter 7
Date
12/12
1/8-9
1/10
Stats
7.1
Pg.413-417
7.1
Pg.417-428
7.2
Pg.432-438
7.2
Pg.432-438
7.3
Pg.442-448
Casino
Lab
Review
7.3
Pg.449-453
Review
Test
1/13-15
Unit Test
12/13
12/16
12/17
12/18
12/19-20
1/6
1/7
Lesson & Objectives
Introduction: German Tank Problem, Parameters and Statistics
Homework
# 1, 3, 5, 7
Sampling Variability, Describing Sampling Distributions
# 9, 11, 13, 14,
19, 21-24
# 27, 29, 35, 37
The Sampling Distribution of 𝑝̂ , Using the Normal Approximation
for 𝑝̂ , Activity: "The Candy Machine"
7.1 Worksheet due
Continue work on 7.2
The Sampling Distribution of 𝑥̅ : Mean and Standard Deviation,
Sampling from a Normal Population
7.2 Worksheet due
Intro to Casino Lab: play in class then complete over winter break
Review after 2 weeks off from school
The Central Limit Theorem
7.3 Worksheet due (1/8)
Review for Chapter 7 Test, Go over Chapter 7 Review Exercises
Chapter 7 Test Notebook Check HW: (33 problems), FR Packet
due
Unit III Assessment
# 39, 41, 43-46
# 49, 51, 53, 55
Casino Lab
due 1/7
# 59, 63, 65-68
Study for Test
Chapter 8: Estimating with Confidence
8.1 Confidence Intervals: The Basics
8.2 Estimating a Population Proportion
8.3 Estimating a Population Mean
Chapter 8
Date
1/16
Stats
8.1
Pg.468-478
Lesson & Objectives
The Idea of a Confidence Interval, Interpreting Confidence Levels
and Confidence Intervals, Constructing a Confidence Intervals
1/17
8.1
Pg.478-484
8.2
Pg.484-490
8.2
Pg.490-494
8.3
Pg.499-511
Using Confidence Intervals Wisely
1/21-22
1/23-24
1/27
1/28
8.3
Pg.511-516
1/29-30
Review
1/31
Test
Conditions for Estimating p, Constructing a Confidence Interval for p
8.1 Worksheet due
Putting It All Together : The Four-Step Process, Choosing the
Sample Size, Technology : Confidence Intervals on the Calculator
When σ is Known : The One Sample z Interval for a Population
Mean, When σ is Unknown: The t Distributions, Constructing a
Confidence Interval for μ, Technology: Inverse t on the Calculator
8.2 Worksheet due
Using t Procedures Wisely, Technology : Constructing Intervals for μ
on the Calculator
Review for Chapter 8 Test, Go over Chapter 8 Review Exercises
8.3 Worksheet due (1/29)
Chapter 8 Test Notebook Check HW: (38 problems), FR Packet
due
Homework
# 1, 3, 5, 7,
9, 11, 13,
15
# 17, 19,
21-24
# 27, 31,
33, 35, 37
# 41, 43,
47, 49-52
# 55, 57,
59, 64
# 65, 69,
71, 73, 7578
Study for
Test
9
Chapter 9: Testing a Claim
9.1 Significance Tests : The Basics
9.2 Tests about a Population Proportion
9.3 Tests about a Population Mean
Chapter 9
Date
2/3
2/4
2/5-6
2/7
2/10
2/11
Stats
9.1
Pg.527-537
9.1
Pg.538-545
9.2
Pg.549-556
9.2
Pg.556-561
9.3
Pg.565-577
2/12
9.3
Pg.577-585
Review
2/13
2/14
Review
Test
Lesson & Objectives
The Reasoning of Significance Tests, Stating Hypotheses,
Interpreting P-values, Statistical Significance
Type I and Type II Errors, Planning Studies : The Power of a
Statistical Test
Carrying Out a Significance Test, The One-Sample z Test for a
Proportion, Technology: One-Proportion z Test on a Calculator
9.1 Worksheet due
Two-Sided Tests, Why Confidence Intervals Give More
Information
Carrying Out a Significance Test for μ, The one Sample t Test,
Two-Sided Tests and Confidence Intervals, Technology:
Computing P-values from t Distributions and One Sample t Test
on the Calculator
9.2 Worksheet due
Inference for Means : Paired Data, Using Tests Wisely
Homework
# 1, 5, 7, 9, 11
# 19, 20, 23, 25,
27-30
# 33, 37, 41, 43,
45
# 47, 49, 51, 53,
55, 57-60
# 63, 67, 71, 73
# 77, 85, 89, 95,
99-104
Review for Chapter 9 Test, Go over Chapter 9 Review Exercises
9.3 Worksheet due
Review for Chapter 9 Test, Go over Chapter 9 Review Exercises
Chapter 9 Test Notebook Check HW: (40 problems), FR
Packet due
Chapter 10: Comparing Two Populations or Groups
10.1 Comparing Two Proportions
10.2 Comparing Two Means
Chapter 10
Date
2/19
2/20
2/21
Stats
10.1
Pg.602-608
10.1
Pg.608-611
10.1
Pg.611-619
2/24
10.2
Pg.627-633
2/25
10.2
Pg.633-638
2/26
10.2
Pg.638-649
2/27
Review
2/28-3/3
Test
Lesson & Objectives
Activity: Is Yawning Contagious? The Sampling Distribution of a
Difference Between Two Proportions
Confidence Intervals for p1 – p2, Technology: Confidence Intervals
for a Difference in Proportions on the Calculator
Significance Tests for p1 – p2, Inference for Experiments,
Technology: Significance Tests for a Difference in Proportions on
the Calculator.
Activity: Does Polyester Decay? The sampling Distribution of a
Difference Between Two Means
10.1 Worksheet due
The Two-Sample t-Statistic, Confidence Intervals for μ1 – μ2,
Technology: Confidence Intervals for a Difference in Means on the
Calculator
Significance Tests for μ1 – μ2, Using Two-Sample t Procedures
Wisely, Technology: Two Sample t Tests on the Calculator
Go over #61-64 in class as a good review of Ch 8-10
10.2 Worksheet due
Review for Chapter 10 Test, Go over Chapter 10 Review Exercises
Homework
#1, 3, 5
#7, 9, 11, 13
# 15, 17, 21, 23,
25, 29-32
# 35, 37
# 39, 41, 43, 45
# 51, 53, 59, 65,
67-70
Study for Test
Chapter 10 Test Notebook Check HW: (30 problems), FR
Packet due
10
Chapter 11: Inference for Distributions of Categorical Data
11.1 Chi-Square Goodness-of-Fit Test
11.2 Inference for Relationships
Chapter 11
Date
3/4-5
3/6
3/7
3/10
Stats
11.1
Pg.676-685
11.1
Pg.685-690
11.2
Pg.696-714
3/11-12
11.2
Pg.714-723
Review
3/13-14
Test
Lesson & Objectives
Activity: The Candy Man Can, Comparing Observed and Expected
Counts: The Chi-Square Statistic, The Chi-Square Distributions and Pvalues, Finding P-values for Ch-Square Tests on the Calculator
The Chi-Square Goodness-of-Fit Test, Follow-Up Analysis,
Technology: Chi-Square Goodness-of-Fit Tests on the Calculator
Comparing Distributions of a Categorical Variable, Expected Counts
and the Chi-Square Statistic, The Chi-Square Test for Homogeneity,
Follow-Up Analysis, Comparing Several Proportions, Technology:
Chi-Square Tests for Two-Way Tables on the Calculator
11.1 Worksheet due
The Chi-Square Test of Association/Independence, Using Chi-Square
Tests Wisely
Review for Chapter 11 Test, Go over Chapter 11 Review Exercises
11.2 Worksheet due (3/11)
Chapter 11 Test Notebook Check HW: (27 problems), FR Packet
due
Homework
#1, 3, 5
# 7, 9, 11,
17, 19-22
# 27, 29, 31,
33, 35, 37,
39
# 45, 49, 51,
53-58
Study for
Test
Chapter 12: More About Regression
12.1 Inference for Linear Regression
12.2 Transforming to Achieve Linearity
Chapter 12
Date
3/17
3/18
3/19
3/20
3/21
Stats
12.1
Pg.738-744
12.1
Pg.744-751
12.1
Pg.751-758
12.2
Pg.765-771
3/24-25
12.2
Pg.771-785
Review
3/26-27
Test
3/28
3/31-4/4
Final
Unit Test
Lesson & Objectives
The Sampling Distribution of b, Conditions for Regression Inference
Homework
# 1, 3
Estimating Parameters, Constructing a Confidence Interval for the
Slope, Technology : Regression Inference on the Calculator
Performing a Significance Test for the Slope
# 5, 7, 11
Transforming with Powers and Roots, Technology : Transforming to
Achieve Linearity on the Calculator
12.1 Worksheet due
Transforming with Logarithms
#13, 15, 17,
19, 21-26
# 33, 35
# 39, 41,
45-48
Review for Chapter 12 Test, Go over Chapter 12 Review Exercises
12.2 Worksheet due (3/24)
Chapter 12 Test Notebook Check HW: (23 problems), FR Packet
due
Go over Test and Review
Unit IV Assessment
11
April 14 – May 8
Review and prepare for the AP Exam. Do released exams and sample exams from resource books listed
previously. You will 2 complete a mock exams. One over Spring Break and one in class that will take 4 days.
It will be a complete exam with 40 multiple choice and 6 free-response questions.
May 9, 2014 (12:00 pm - 3:00 pm)
AP Statistics Exam
After the AP Exam (May 13 - June 7) End of Year Stats Project (Counts as Assessment Score)
*Students will develop an experiment, collect data, and interpret the data using the vocabulary and
knowledge of the statistics learned throughout the year. (This will be monitored to make sure the
experiment is actually testable.) The purpose of this assignment is to tie together everything we have done
all year in statistics so the students may see the end product. Final test grade will be the completion and
presentation of the project to the class.
12