MATH 4520/5520

Introduction to Mathematical Statistics

Summer 2023

TIME: MTWRF 1:00 PM - 02:35 PM

1:00-1:45, then 5 min break, then 1:50-2:35

Instructor: Dr. Janos Englander


Course content:

Examines point and confidence interval estimation. Principles of maximum likelihood, sufficiency, and completeness: tests of simple and composite hypotheses, linear models, and multiple regression analysis. Analyzes various distribution-free methods. Prereq: MATH 4510 or APPM 3570, and Calculus 1-2-3. Same as APPM 4520.

How to reach me/office hrs:

Meeting ID: 983 2203 7216

Bad greeting: "Hey Professor" 

Okay greeting: "Hi Professor"

Nice greeting: "Dear Professor X"

Grading:

Grading will be done in two steps:

(1) You can only pass the course if the weighted average of your exams is at least 60, regardless of  other factors.

This weighted average is w = (2a+2b+3c)/7, where a and b are the two MT scores and c is the score of the final.

(2) If  w=60 or w>60 then we calculate your course grade (different from w), using these weights:

My grader for this semester is Mr. V. Ghanta, email: Venkata.Ghanta@colorado.edu

Please direct questions like "why did I loose 2 points here" to him.

IMPORTANT: HW must be uploaded to Canvas!

EXAM DATES:

First MT: July 25, 2023, Tuesday, in class

Second MT: Aug 4, 2023, Friday, in class

Final:  Aug 11, 2023, Friday, 1:00-2:35 in class 


Note: When students have three or more final examinations on the same day, they are entitled to arrange an alternative examination time for the last exam or exams scheduled on that day.

TEXTBOOK: "John E. Freund's Mathematical Statistics with Applications" 

(8th Edition)


Important: The textbook should exactly (!) be the hardcover or the paperback shown here: CLICK . It should NOT be the international edition, as it skips certain parts. However, the eTextbook is fine if the same as in this link. For example, the hardcover has these ISBN identifiers: ISBN-13: 978-0321807090 and ISBN-10: 032180709X.

Enrollment questions: 

Please see the Registrar's web page, or call their office. If you still have problems, then see Tiffany at the Math. Dept. Office, please.



Help Lab: 

The Undergrad Resource Center (a.k.a. Help Lab)  is a valuable resource.

Please check  the hours of operation at http://math.colorado.edu/marc/

Material to be covered: We begin with a brief overview of Chapters 1-7 and continue with Chapters 8, 10-14, and some of Chapters 15 and 16, if time permits. 

Prereqs and a warning:

MATH 4510 is a prereq, and so is Calc 1-2-3, in particular it is assumed that students are familiar with double and multiple integrals.

How 5520 students are different: Students enrolled into MATH/APPM 5520, will have to do extra homework problems as well as extra problems on the tests.

Homework: 

From Friday to Friday. (With some exceptions.) To find them and to turn in: on Canvas.

Important: 

If you are a graduate student, then please put a huge "G" at the right top corner of your HW. Thank you. And of course, please try to write in a legible way. Typing would be even better :) 

(LaTeX or any other typesetting system is preferred to handwriting. If not, a nice handwriting...)

Numbers will refer to textbook, 8th Edition, with ISBN given above.

Note: The grader will check 3 randomly selected problems, but she will also check if effort was made to solve every problem. The 3 problems will be the same for each UG student.

Some useful links:

Standard Normal Table

Here you have some interesting Statistical Applets and Buffon's Needle Simulation -- take a look.

Example for P-values: click

Explanation on Exponential, Gamma and Poisson: click

Chegg policy: 

Please do not use Chegg ("ask a question" feature) because:

(1) Chegg's answers are frequently incorrect.

(2) Our department adopted an aggressive policy:  posted questions AND answers are requested from Chegg via OIT at CU. Detected cheating results in a 0 score for the whole exam or HW.

FOR SOME IMPORTANT CU POLICIES, click HERE


Add/Drop Calendar



Spring 2023 Last Day to Add or Swap a Class (11:59 p.m.)

Wednesday 1/25


Spring 2023 Last Day to Be Automatically Enrolled from a Waitlist (11:59 p.m.)

Wednesday 1/25


Spring 2023 Last Day to Drop a Class Without Penalty (11:59 p.m.)

Wednesday 2/1


Spring 2023 Waitlists Are Canceled (11:59 p.m.)

Monday 2/6


Spring 2023 Last Day to Drop a Class (11:59 p.m.)

Friday 3/24


FAQ:


SOME STUFF

MIDTERM related STUFF: 


IMPORTANT: MT1 in March 2023 will be based on HW problems.

An old practice MT with solution: CLICK                           

Solutions to an old Midterm: CLICK

Spring 2020 EXAMS

A practice MT: CLICK

Solutions to MT1: CLICK    

A second practice midterm before MT2: CLICK

Solutions to MT2:  CLICK

Solutions to MT1


FINAL related STUFF:

Practice Final   

Exercises for ML and N-P .   (12.12 is the same as Pr 6 in the practice final, except theta_1>theta_0)

Final.Spring.2018.with.Solutions