Math 351 Section 1 - Calendar- Spring 2020

Last Updated: Friday, May 15 2020 at 10:58 AM
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All numbers indicate sections from An Introduction to Mathematical Statistics and Its Applications -- Fifth Edition.

R is for the reading assignment
C is for exercises that are assigned and will be collected
NC is for exercises that are assigned but will not be collected

Monday

Wednesday

Friday

Jan. 27
Lecture #1:
Introduction to Math Stats

Jan. 29
Lecture #2:
Introduction to Point Estimation
Maximum Likelihood Estimators

Homework Due:
R 5.1-5.2
Written Homework #1:
C Additional Problems
NC 4.2.2,4.2.3
Jan. 31
Lecture #3:
MLE for Gamma and normal distributions

Homework Due:
Written Homework #2:
C Additional Problems
NC 4.3.23,4.3.27
Feb. 3
Lecture #4:
MLE for uniform distributions
Method of Moments

Feb. 5
Lecture #5:
Properties of Point Estimators
Unbiased Estimators

Homework Due:
R 5.4
Written Homework #3:
C 5.2: 1,2,4,9,12
C Additional Problems
NC 5.2: 3,5,7,10,16
Feb. 7
Quiz #1
Lecture #6:
Efficiency
Efficiency for Uniform Parameters
Consistency

Homework Due:
R 5.7
Written Homework #4:
C 5.2:17,19,20
C 5.4:2,4,9
NC 5.2:21,22,26
Feb. 10
Lecture #7:
Intro to Confidence Intervals
Confidence Intervals for Normal

Homework Due:
R 5.3
Feb. 12
Lecture #8:
de Moivre-Laplace theorem
Confidence Interval for Bernoulli Trials
Intro to Hypothesis Test

Homework Due:
R 5.3
Written Homework #5:
C 5.4:19,20,22
C Additional Problems
NC 5.4:17,18,22
Feb. 14
Quiz #2
Lecture #9:
Hypothesis Test
The Decision Rule

Homework Due:
R 5.6
Written Homework #6:
C 5.3: 1,2,4,6,7
NC 5.3: 3,5,11
Feb. 17
Lecture #10:
Testing Bernoulli Trials


Homework Due:
R 6.1-6.3
Feb. 19
Lecture #11:
Type I and II errors Power of a test


Homework Due:
R 6.4
Written Homework #7:
C 5.3:12,14
C 6.2:1,2,4,5,8
NC 5.3:15,17,19,25
NC 6.2:3,7,9
Feb. 21
Quiz #3
Lecture #12:
Effects on Power
Gamma Distribution revisited

Homework Due:
R 6.6
Written Homework #8:
C 6.3: 2,3,4,6
C 6.4: 2,3,4
NC 6.3:1,5
NC 6.4:1
Feb. 24
Lecture #13:
χ2 Distribution

Homework Due:
R 7.1
Feb. 26
Lecture #14:
Multivariate Change of Variables
Orthogonal Linear Functions
Fisher's Theorem

Homework Due:
R 7.2
Written Homework #9:
C 6.4: 8,9,10,14
C Additional Problems
NC 6.4: 7,11
Feb. 28
Exam 1
Topics TBA

March 2
Spring Break
March 4
Spring Break
March 6
Spring Break
March 9
n,S2
Distribution of S2
Independence from sample mean
Homework Due:
R 7.3
March 11
Lecture #15:
F Distribution
t Distribution

Homework Due:
Written Homework #10:
C Additional Problems
March 13
Lecture #16:
PDF of t Distribution
Inference on μ

Homework Due:
R 7.4
Written Homework #11:
C 7.3: 7,14
C Additional Problems
NC 7.3: 9
March 16
School Closure
March 18
School Closure
March 20
School Closure
March 23
Lecture #17:
Confidence Intervals for μ
One sample t-test

March 25
Lecture #18:
Inference on σ
Two sample t-test
Two-sample Inference Same Variance

Homework Due:
Written Homework #12:
R 7.5
C 7.3: 4,8,9
C Additional Problems
NC 7.3: 10,11,12
March 27
Lecture #19:
Two-sample Inference Same Variance Example
Behrens-Fisher Problem

Homework Due:
Written Homework #13:
R 9.1
C 7.4: 2,,6,13,17,19,20
C Additional Problems
NC 1,4,5,15,18,21
March 30
Lecture #20:
Testing σ12
F-test

Homework Due:
R 9.2
April 1
Quiz #4
Lecture #21:
Binomial Data

Homework Due:
R 9.3-9.4
Written Homework #14:
C 7.4: 14,22
C 7.5: 2,6,9,10
C 9.2: 2,4 (Assume same Variance)
NC 7.5: 1,3,5
NC 9.2: 1,5
April 3
Lecture #22:
Multinomial Distribution


Homework Due:
R 9.4,9.5
Written Homework #15:
C 9.2: 8,12,15,20
C 9.3: 2,4,5,6
C Additional Problems
NC 9.2: 10,17
NC 9.3: 1,3
April 6
Lecture #23:
Distribution of D

Homework Due:
R 10.1-10.2
April 8
Lecture #24:
Proof of Χ2-test

Homework Due:
R 10.3
Written Homework #16:
C 10.2:1,2,4,6
NC 10.2:5,7
April 10
Easter Break
April 13
Easter Break
April 15
Lecture #25:
Person's Chi-Square Test
Questions for Exam

Homework Due:
R 10.4
Written Homework #17:
C Additional Problems
NC 10.2: 1,3,5
April 17
Exam 2
April 20
Lecture #26:
Goodness of Fit test for unknown parameters

April 22
Contingency Tables

Homework Due:
R 11.1
Written Homework #18:
C 10.3:9,10,11
C Additional Problems
April 24
Quiz #5
Lecture #27:
Contingency Table Examples
Introduction to Linear Regression

Homework Due:
R 11.2
Written Homework #19:
C 10.4: 2,4,5,6,8,9
NC 10.4: 1,3,7
April 27
Lecture #28:
Introduction to Linear Regression
Least Square Fit
Linear Models

Homework Due:
R 11.3
April 29
Lecture #29:
MLE for σ2
Properties for the estimator of β1

Homework Due:
Written Homework #20:
C 10.5: 2,3,6,8
C 11.2: 1
NC 10.5: 1,4,5
May 1
Quiz #6
Lecture #30:
Fisher's Theorem one last time

Homework Due:
Written Homework #21:
C 11.2: 2,3,7
C 11.3: 2,6
C Additional Problems
NC 11.2:5,9
NC 11.3:5,9
May 4
Lecture #31:
Regression Hypothesis Test

May 6
Lecture #32:
Inferences on Ŷ

Homework Due:
R 11.4
May 8
Quiz #7
Lecture #33:
Prediction Interval

Homework Due:
Written Homework #22:
C 11.3: 8,9,10,12
May 11
Lecture #34:
R2

May 13
Lecture #35:
What does Regression mean?
Questions for the final

Final Exam
Friday, May 15 at 11 AM


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