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
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.
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.
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 th
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
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 goodnes
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
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,
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
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 hypothes
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
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
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 populat
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 followi
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
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
Fe
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:
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 c
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
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
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.
Identif
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
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
+
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: Maki
+
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
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)
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 034566
+
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 Anal
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