Chapter 4.1
[Page 208]
Alternate Example: Sampling Students and Soda
Problem: Identify the population and sample in each of the following settings.
(a) The student government at a high school surveys 100 of the students at the school to get their
opinions
Chapter 5.1
Randomness, Probability, and Simulation
[Page 283]
Alternate Activity: Whose Book is This?
Suppose that 4 friends get together to study at Tims house for their next test in AP Statistics.
When they go for a snack in the kitchen, Tims three-yea
Chapter 12.1
Inference for Linear Regression
[Page 738]
Alternate Activity: Does seat location matter?
Many people believe that students learn better if they sit closer to the front of the classroom. Does sitting closer cause
higher achievement, or do bet
Section 12.1
Inference for Linear Regression
1) Least-squares regression fits a straight line to data to predict a
response variable y from an explanatory variable x. Inference in
this setting uses the sample regression line to estimate or test a
claim ab
Chapter 11.1 Chi-Squared Goodness-of-Fit Tests
[Page 679]
Alternate Example: A fair die?
Jenny made a six-sided die in her ceramics class and rolled it 60 times to test if each side was equally likely to
show up on top.
Problem: Assuming that her die is f
Section 11.1: Chi-Square Goodness-of-Fit Tests
1) A one-way table is often used to display the distribution of a
categorical variable for a sample of individuals.
2)
3)
4)
5)
6)
The chi-square goodness-of-fit test tests the null hypothesis
that a categori
Section 10.1 Comparing Two Proportions
1) Choose an SRS of size n1 from Population 1 with proportion of
successes p1 and an independent SRS of size n2 from Population 2
with proportion of successes p2.
2) Confidence intervals and tests to compare the prop
Chapter 10.1 Comparing Two Proportions
[Page 602]
Alternate Activity: Drinking age and response bias
In Chapter 4 we learned how the wording of a question can create bias. Two AP Statistics students, Kala and
Liz, decided to investigate this issue by aski
Chapter 9.1 Significance Tests: The Basics
[Page 530]
Alternate Example: Can you be confident of victory?
Heading into the mayoral election, Jack is feeling fairly confident that he will be elected by obtaining more than
50% of the vote. Suppose that a ra
Section 9.1 Significance Tests: The Basics
1) A significance test assesses the evidence provided by data
against a null hypothesis H0 in favor of an alternative
hypothesis Ha.
2)
3)
4)
5)
The hypotheses are stated in terms of population parameters.
Often,
Chapter 8.1 Confidence Intervals: The Basics
1) To estimate an unknown population parameter, start with a
statistic that provides a reasonable guess. The chosen statistic is
a point estimator for the parameter. The specific value of the
point estimator th
Chapter 8.1
Confidence Intervals: The Basics
[Page 468]
Alternate Activity: The Mystery Proportion
With the class watching, enter the command randBin(100,P)/100. This will generate a value of p for a random
sample of size 100 from a population where the t
Chapter 7.1 What is a Sampling Distribution?
1) A parameter is a number that describes a population. To
estimate an unknown parameter, use a statistic calculated from a
sample.
2)
3)
4)
5)
The population distribution of a variable describes the values
of
Chapter 7.1 What is a Sampling Distribution?
[Page 417]
Alternate Example: Heights and Cell Phones
Problem: Identify the population, the parameter, the sample, and the statistic in each of the following settings.
(a) A pediatrician wants to know the 75th
Chapter 6.1
Discrete and Continuous Random Variables
[Page 343]
Alternate Example: NHL Goals
In 2010, there were 1319 games played in the National Hockey Leagues regular season.
Imagine selecting one of these games at random and then randomly selecting on
Chapter 1 Introduction
[Page 3]
Alternate Example: US Census Data
Here is information about 10 randomly selected US residents from the 2000 census imported
using Fathom software.
Female
Female
Male
Female
Female
Female
Marital
Status
Married
Married
Marri
Chapter 1 Introduction
Data Analysis: Making Sense of Data
Individuals objects (people, animals, things) described by a set of
data
Variable - any characteristic of an individual
Categorical Variable: places an individual into one of several groups
or cat
AP Statistics Review
Exam is on Friday 5/10/13 at
12:00
Practice without looking at anything but the formula sheet.
Start studying a little each night. No cramming.
Stay organized and studious.
Stay confident, but dont get overconfident.
4 Parts of the Co
Section 5.1: Randomness, Probability, and Simulation
1)
2)
3)
4)
5)
A chance process has outcomes that we cannot
predict but have a regular distribution in many
distributions.
The law of large numbers says the proportion
of times that a particular outcome
Chapter 4.1
Sampling and Surveys
The population in a statistical study is the entire group of individuals
about which we want information.
A sample is the part of the population from which we actually collect
information. We use information from a sample
Chapter 3
Da
y
1
Topics
Objectives: Students will be able to
homework
Describe why it is important to investigate
Chapter 3 Introduction
Activity: CSI Stats
relationships between variables.
Identify explanatory and response variables in
2
3.1 Explanato
Chapter 3.1
[Page 143]
Alternate Examples:
Explanatory: amount of rain. Response: weed growth.
Explanatory: winning percentage of a basketball team. Response: attendance at
games. Note: It is possible to reverse these variables if you think that crowd sup
Chapter 3: Describing Relationships
3.1 Scatterplots and Correlation
1.
2.
3.
4.
5.
A response variable measures an outcome of a study. An
explanatory variable may help explain or influence changes
in a response variable
A scatterplot shows the relationsh
Chapter 2
Day
Topics
1
2.1 Introduction, Measuring
Position: Percentiles, Cumulative
Relative Frequency Graphs,
Measuring Position: z-scores
2
2.1 Transforming Data, Density
Curves
3
Review and Quiz
2.2 Normal Distributions, The 6895-99.7 Rule, The Standa
+
Chapter 1: Exploring Data
Section 1.1
Analyzing Categorical Data
The Practice of Statistics, 4th edition - For AP*
STARNES, YATES, MOORE
+
Chapter 1
Exploring Data
Introduction:
Data Analysis: Making Sense of Data
1.1
Analyzing Categorical Data
1.2
D
+
Chapter 1: Exploring Data
Section 1.2
Displaying Quantitative Data with Graphs
The Practice of Statistics, 4th edition - For AP*
STARNES, YATES, MOORE
+
Chapter 1
Exploring Data
Introduction:
Data Analysis: Making Sense of Data
1.1
Analyzing Categoric
Chapter 2.1
Describing Location in a Distribution
th
The p percentile of a distribution is the value with p percent
of the observations less than it.
A cumulative relative frequency graph (or ogive) displays
the cumulative relative frequency of each clas
Chapter 2.1
[Page 85]
Alternate Example: Wins in Major League Baseball
The stemplot below shows the number of wins for each of the 30 Major League Baseball teams
in 2009.
59
6 2455
7 00455589
8 0345667778
9 123557
10 3
Problem: Find the percentiles for th
+
Chapter 1: Exploring Data
Introduction
Data Analysis: Making Sense of Data
The Practice of Statistics, 4th edition - For AP*
STARNES, YATES, MOORE
+
Chapter 1
Exploring Data
Introduction:
Data Analysis: Making Sense of Data
1.1
Analyzing Categorical D
Chapter 1
Da
y
Topics
Objectives: Students will be able to
1
Chapter 1 Introduction
2
1.1 Bar Graphs and Pie Charts,
Graphs: Good and Bad
3
1.1 Two-Way Tables and Marginal
Distributions, Relationships
Between Categorical Variables:
Conditional Distributio