MATH 324
Model Fitting
Marie-Pier C
ote
McGill University
Fall 2016
1 / 73
E. Model fitting
E. Model fitting
1. Method of moments
2. Method of maximum likelihood
3. Diagnostic plots
This material is b
Johanna G. Nelehov
McGill University, Fall Term 2015
Solutions to Assignment 2
Statistics MATH 324
Q9 (a) The (approximate) probability that the average resistance for the 25 resistors is
between 199
Johanna G. Nelehov
McGill University, Fall Term 2015
Solutions to Assignment 1
Statistics MATH 324
Q1 (a) The mean of the Poisson random variable is
E(X) =
ke
k!
k=0
= e
=0
k
=
e
k=1
k
k1
=e
(k 1)
Introduction to Statistics
Topic 6: The Normal Distribution
In this topic, you will learn:
Special case of Continuous Probability Density
Function (The Normal Distribution)
Finding Probabilities for
Introduction to Statistics
Topic 8: Hypothesis Testing for one
Sample Mean
In this topic, you will learn:
Null and Alternative Hypotheses
Steps Involved in Hypothesis Testing
Type I and II Error
S
Introduction to Statistics
Topic 9: Hypothesis Testing for
two-Sample Means
In this topic, you will learn:
Hypothesis Testing for Paired Means
Hypothesis Testing for Unpaired Means
Test for Significan
MATH 324
Tests
Marie-Pier C
ote
McGill University
Fall 2016
1 / 177
G. Hypothesis testing
G. Hypothesis testing
1. Principles of hypothesis testing
2. Testing simple hypotheses
3. Uniformly most power
MATH 324
Interval Estimation
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ote
McGill University
Fall 2016
1 / 75
F. Interval estimation
F. Interval estimation
1. Principles of interval estimation
2. Small-sample confidence intervals
MATH 324
Estimation
Marie-Pier C
ote
McGill University
Fall 2016
1 / 83
D. Point estimation
D. Point estimation
1. Bias and mean squared error of point estimators
2. Consistency
3. Relative efficiency
Overview of today
Brief history of trade/labour unions
Political economic context of rise of unions
Union orientations and roles
Why unions matter
Industrial democracy & stabilization of economy
Indus