CHAPTER
10:
COMPARING
Two
POPULATIONS OR GROUPS
"We must be careful not to confuse data with the abstractions
we use to analyze them." William James
Chapter Overview
Up to this point, our studies have focused on inference for a single parameter. However,
CHAPTER
6: RANDOM VARIABLES
"Chance, too, which seems to rush along with slack reins,
is bridled and governed by law. 11 Boethius
Chapter Overview
In the last chapter we learned the basic definition and rules of probability. We continue our study of
proba
CHAPTER
4: DESIGNING STUDIES
"Not everything that can be counted counts;
and not everything that counts can be counted" -George Gallup
Chapter Overview
The first three chapters introduced us to some of the basics of exploratory data analysis. In this chap
CHAPTER
5:
PROBABILITY - WHAT ARE THE CHANCES?
"The most important questions of life are, for the most part,
really questions of probability." Pierre-Simon LaPlace
Chapter Overview
Now that we have learned how to collect data and how to analyze it graphic
CHAPTER
8:
ESTIMATING WITH CONFIDENCE
"Do not put your faith in what statistics say until you have carefully considered
what they do not say." William W. Watt
Chapter Overview
Now that you have learned the basics of probability and sampling distributions,
CHAPTER
7:
SAMPLING DISTRIBUTIONS
"Statistics may be defined as 'a body of methods
for making wise decisions in the face of uncertainty. m W.A. Wallis
Chapter Overview
In chapters 1-3, you learned how to explore a set of data. Chapter 4 introduced you to
CHAPTER
9: TESTING A CLAIM
"A statistical analysis, properly conducted, is a delicate dissection of uncertainties,
a surgery of suppositions." M.J. Moroney
Chapter Overview
In the last chapter, you learned how to estimate a parameter based on a sample sta
CHAPTER
12: MORE ABOUT REGRESSION
"A judicious man looks on statistics not to get knowledge,
but to save himself from having ignorance foisted on him. JJ Thomas Carlyle
Chapter Overview
In the last chapter, you learned how to determine whether or not ther
CHAPTER
11:
INFERENCE FOR DISTRIBUTIONS
OF CATEGORICAL DATA
"By a small sample, we may judge the whole piece." Miguel de Cervantes (Don Quixote)
Chapter Overview
So far, our study of inference has focused on how to estimate and test claims about single me
Quiz 2.1B AP Statistics Name:
A researcher recorded the time between consecutive eruptions (in minutes) of the Old Faithful geyser
in Yellowstone National Park over an 8-day period. A graph and some summary statistics from
CrunchIt! software are shown bel
.I
Table entry
for z is the
probability
lying below z.
Table A
z
Standard normal probabilities
.00
.01
.02
.03
.04
.05
.06
.07
.08
.09
-3.4
.0003
.0003
.0003
.0003
.0003
.0003
.0003
.0003
.0003
.0002
-3.3
.0005
.0005
.0005
.0004
.0004
.0004
.0004
.0004
.0
CHAPTER
1 : EXPLORING
DATA
"Statistical thinking will one day be as necessary for efficient citizenship
as the ability to read and write." H. G. Wells
Chapter Overview
Statistics is the science of data. We begin our study of the subject by mastering the a
CHAPTER
2:
MODELING DISTRIBUTIONS OF DATA
lilt is not knowledge, but the act of learning, not possession but
the act of getting there, which grants the greatest enjoyment. " Carl Friedrich Gauss
Chapter Overview
In Chapter 1, we built a "toolbox" of graph
Chapter 1 : Solutions
Introduction Concept 2:
_ I can identify key characteristics of a set of data.
1) This data set describes the students in Mr. Buckley's class (James, Jen, . , Sharon)
2) Quantitative: ACT Score, GPA
Categorical: Gender, Favorite Subj
CHAPTER
3:
DESCRIBING RELATIONSHIPS
"You can only predict things after they've happened. "
Eugene /onesco
Chapter Overview
Our statistics toolbox now contains a variety of ways to explore a single quantitative variable. Further,
we have learned ways to ex