Chapter 1
Looking at Data - Distributions
Section 1.2
Describing Distributions with
Numbers
Introduction
Various numerical measures are given to
summarize and describe distributions.
Measures of center and spread along
with the shape of the distribution g
Chapter 4
Probability: The Study of
Randomness
Introduction
Probability of an outcome of a random
phenomenon is the proportion of time
the outcome would occur in a very long
series of repetitions.
We can also think of probability as the
likelihood of a ra
Chapter 8
Inference for Proportions
8.1 Inference for a Single
Proportion
We explore confidence intervals and
testing hypotheses concerning a
population proportion.
Inference for a Proportion
We consider:
estimating a population proportion by a
confidence
STAT 201
Fall 2012
TR 1:15-2:30 PM, Bingham 204
Instructor:
Dr. Patricia Pepple Williamson
325 Yost Hall, 368-6013
email: patricia.williamson@case.edu
Office Hours: 1:30-3:30 MW, 12:00-1:00 TR
Textbook:
Introduction to the Practice of Statistics, 7th edit
Chapter 12
One-Way Analysis of Variance
(ANOVA)
12.1 Inference for One-Way ANOVA
Analysis of Variance is a statistical procedure
used to determine whether there exists
differences among population means. This is
a generalization of testing
H0: 1 = 2
Ha: 1
Chapter 1
Looking at Data - Distributions
Section 1.3
Density Curves and Normal
Distributions
Introduction
So far we have accumulated some tools for
describing distributions.
Review
For a quantitative variable:
1. Make a graph - stemplot, histogram, or
bo
Chapter 5
Sampling Distributions
Introduction
Goal of Statistics draw conclusions
about a population on the basis of a
sample
A statistic summarizes data produced by
a random sample. A statistic varies from
sample to sample. A statistic has a
distribution
Chapter 2
Looking at Data - Relationships
2.3 Least-Squares
Regression
If points in a scatterplot form a linear
pattern, it is desirable to model the
relationship with a line. The best fitting line
to the points is called the regression line.
Least-square
Chapter 1
Looking at Data - Distributions
Introduction
Statistics deals with making intelligent
judgments and informed decisions in the
presence of uncertainty and variation.
EXA Which is better in fighting cavities?
Crest or Colgate
Goal
Goal of Statisti
Chapter 2
Looking at Data - Relationships
Introduction
Now we concentrate on relationships
among several variables. To start out,
note what the variables are and what
type they are.
When a relationship is noted, we may want
to know whether or not one vari
Chapter 3
Producing Data
Introduction
We want to collect data in such a way so
that we can use it to make inferences
about the general population.
(statistical inference)
Data for such use can be collected by
sampling or experiments.
3.2 Sampling Design
W
Chapter 3
Producing Data
Introduction
We want to collect data in such a way so
that we can use it to make inferences
about the general population.
(statistical inference)
Data for such use can be collected by
sampling or experiments.
Introduction
Consider
Chapter 5
Sampling Distributions
Introduction
Goal of Statistics draw conclusions
about a population on the basis of a
sample
A statistic summarizes data produced by
a random sample. A statistic varies from
sample to sample. A statistic has a
distribution