STAT3010: Lecture 14
Logistic Regression Analysis (Section 10.4, Page 487)
In logistic regression analysis, we consider applications involving a single
dependent variable, Y, which is dichotomous (ie.
STAT3010: Lecture 3
REVIEW OF HPYOTHESIS TESTS-CONTD
Two Independent Populations (not equal variances)
Example: An experiment was conducted involving the comparison of the
mean heart rates following 3
STAT3010: Lecture 4
CHAPTER 9: ANALYSIS OF VARIANCE
Analysis of Variance (ANOVA) is one of the most widely used
statistical techniques for testing the equality of population
means. ANOVA is used to te
STAT3010: Lecture 5
Notation and Examples (Section 9.2, Page 413)
To make a decision of reject/do not reject the null hypothesis,
we simplify the test by the use of the ANOVA table. Here are
the formu
STAT3010: Lecture 6
Multiple Comparisons Procedures- Contd (Section 9.5,
Page 425)
Recall: Last class we looked at the Scheffe Multiple
Comparison Procedure. These calculations take some time
(especia
STAT3010: Lecture 7
Repeated Measures Analysis of Variance (Section 9.6,
Page 436)
Repeated Measurements are measurements made on your
subjects over a particular time. The purpose of these repeated
me
STAT3010: Lecture 8
TWO-WAY ANALYSIS OF VARIANCE
(Your text book doesnt cover 2-way ANOVA so youll have to
use my lecture notes. )
In chapter 9, we used analysis of variance to decide whether
three or
Homework Solutions to week 4
Page 454-461:
15.
Repeated Measures ANOVA
H0: 1 = 2 = 3
H1: at least 2 means differ.
Source
= 0.05
SS
Df
MS
3149.1
4
787.3
1.2
2
0.6
Within
248.1
8
31.0
Total
3398.4
14
B
STAT3010: Lecture 9
TWO-WAY ANALYSIS OF VARIANCE
Recall: Last class we set up the complete Two-Way ANOVA
table for the Poplar Tree example:
ANOVA TABLE:
Source of
Variation
df
Sum of
Squares
Mean
Squa
Solutions to example 1:
2-WAY, EQUAL NS, INDEPENDENT SAMPLES ANOVA
Plot of behavior*dosage. Symbol is value of therapy.
behavior
27
G
26
P
n
B
25
P
24
B
G
23
n
P
22
B
21
G
20 n
absent
low
high
STAT3010: Lecture 10
TWO-WAY ANALYSIS OF VARIANCE
Recall: Last lecture, we looked at the Two-way ANOVA based
on equal sample sizes in each cell, but what if we had unequal
sample sizes?
Two-way ANOVA
STAT3010: Lecture 2
Lecture 2:
REVIEW OF DISTRIBUTIONS CONTD
DISCRETE DISTRIBUTIONS:
THE BINOMIAL DISTRIBUTION
Definition
A population or process distribution for a discrete variable
mass function
p (
Lecture 1:
REVIEW OF DISTRIBUTIONS
Continuous Distributions:
Definitions
A density function f (x) is used to describe (at least
approximately) the population or process distribution of a
continuous va
STAT3010: Lecture 13
Multiple Regression Analysis (Section 10.3, Page 485)
In multiple regression analysis, we consider applications involving a single
continuous dependent variable, such as systolic
STAT3010: Lecture 12
CORRELATION AND REGRESSION
Simple Linear Regression Contd (Section 10.2, Page 477)
The least squares estimates:
These estimates are called the least squares estimates of the slope
STAT3010: Lecture 15
LOGISTIC REGRESSION ANALYSIS
Multiple Logistic Regression (Section 11.3, Page 517)
The simple logistic model is based on a linear relationship between the natural
logarithm (ln) o
STAT3010: Lecture 17 and 18
CHAPTER 12: NONPARAMETRIC TESTS
Recall in STAT2010 and Chapter 9, we presented techniques for tests of
hypothesis concerning one, two, or more than 2 population means. Reme
STAT3010: Lecture 10
TWO-WAY ANALYSIS OF VARIANCE
Two-way ANOVA with unequal cell numbers "Unbalanced designs"
Much more common than equal cell numbers because o in observational
studies you often ca
STAT3010: Lecture 7
Repeated Measures Analysis of Variance (Section 9.6, Page 436)
Repeated Measurements are measurements made on your subjects over a
particular time. The purpose of these repeated me
STAT3010: Lecture 8/9
TWO-WAY ANALYSIS OF VARIANCE
In chapter 9, we used analysis of variance to decide whether three or more
populations have the same mean. Those were called one-way ANOVAs (or
singl
Final Lectures
CHAPTER 12: NONPARAMETRIC TESTS
The Kruskal-Wallis Test - k Independent Samples Test Contd (Section
12.4, Page 558)
Post Hoc (Multiple Comparison Procedures)
Post Hoc comparisons for th
STAT3010: Lecture 2
Lecture 2:
REVIEW OF DISTRIBUTIONS CONTD
DISCRETE DISTRIBUTIONS:
THE BINOMIAL DISTRIBUTION
Definition
A population or process distribution for a discrete variable x is specified by
Lecture 1: STAT 3010U
REVIEW OF DISTRIBUTIONS
Continuous Distributions:
Definitions
A density function f (x) is used to describe
(approximately) the process distribution of a continuous variable x . T
STAT3010: Lecture 6
The Tukey Procedure
The Tukey procedure is also called the Studentized Range test.
The Tukey procedure is appropriate for pairwise comparisons, but it doesnt
handle general contras
STAT3010: Lecture 5
Fixed Versus Random Effects Models (Section 9.3, Page
424)
Theres two types of analysis of variance applications: fixed effects models and
random effects models.
Note: We will only
Class Activity 1
Rules: Name the test as either a Z-test, t-test, chi square test, oneway ANOVA, repeated measures or two-way ANOVA;
If the test is either a Z or t-test, state whether its a single mea