Professor:
John Millson
Office phone
301-405-5156
Class time:
Tu-Th
12:30-1:45
Class location:
Armory 0126
Office hours:
after class on Thursday
e-mail address:
jjmillson@gmail.com
Web page:
www.math.umd.edu/~jjm
Course text:
Probability and Statistics for Engineering and the
Sciences, University of Maryland, Ninth Edition by Jay Devore
TEACHING ASSISTANTS FOR SPRING 2019
Yuchen Luo
Office: MTH 3303
Sections
0312,0322,0341
email: yluo24@math.umd.edu
Michael Rawson
Office: MTH 4204
Sections
0311,0321,0331 (end in 1)
email:rawson@umd.edu
Mark Wymer
Office MTH 4414
Sections
0323,0332,0342
email:mwymer@math.umd.edu
HW 12
You will be tested on one of these questions in your TA session on Friday, May 10
Section 5.3 Problem 41
Section 5.4 Problem 53, 57 (for this problem you need to know that if X has gamma distribution with parameters α
and beta then E(X) = α β and V(X) = α β
2.
Section 5.5 Problem 64. (here a week means a "working week" so the five days Monday through Friday)
Two Hints:
1. it is better to divide the ten given random variables X
1,. . . ,X
10 into two groups of
five random variables each, corresponding to morning and evening waiting times so
X
1 = waiting time for Monday morning, Y
1 = waiting time for Monday evening
...
X
5 = waiting time for Friday morning, Y
5 = waiting time for Friday evening
2. If a random variable X has uniform distribution on the interval [0,L] then E(X) = L/2 and V(X) = L
2/12.
THE COURSE LECTURES
In addition to the text, I want you to download my lectures.
HAND-PRINTED LECTURES
Here is a complete set of scanned
hand printed lectures (easy to read) available in pdf format.
Professor Millson's Handwritten
Lectures
SLIDES FOR MY COURSE LECTURES
Here are typed slides for my lectures - the slides I used in class.
MIDTERM AND FINAL DATES
The first midterm will be in the
lecture hall ARM 0126 on Thursday, March 7 and the second midterm will be in ARM0126 on
Thursday , April 11.
The final exam will be in ARM0126 on Tuesday, May 21
from 1:30 - 3:30 PM
The homework quizzes, exams and final will be conducted according to the following rules.
1. No notes and NO "CHEAT SHEET".
2. No text.
3. No laptops
4. No calculators
5. No cellphones.
I will provide you on the exam with the formulas/tables you will need.
COURSE DESCRIPTION
We will cover the
following topics in the order given..
1. All of Chapter 2.
2. All of Chapter 3
3. All of Chapter 4 except for
the last two sections.
4. All of Chapter 5 but very little multiple
integrals.
5. Random Samples (from handout) .
6. Some of Chapter 6 on point estimation.
7. Random intervals (from handout).
8. Some of Chapter 7 on interval estimations.
9. Moment generating functions (from handout).
COURSE GRADE
Your course grade will be determined from the
following:
Test #1 50 points
Test #2 50 points
Homework 50 points
Final exam 100 points
Total 250
points
If you get 125 points or more you will get at worst a C-. If you get
less than 125 points you
will get an F.
Your homework grade.
The week's homework will be assigned on my web page after the Thursday class
THE HOMEWORK QUIZZES
For the first 35 minutes of your TA section on Monday your TA will do
the HW problems (if you are lucky he/she will do the one you are about
to be tested on). At the end (fifteen minutes left) of
your TA section your TA will pick one of
the HW problems, you will put away your notes, do the problem and hand it in.
In other words every week you will have a HW quiz. On occasion you may be
asked to hand in an entire assignment or a part of one.
If you have an excused absence from a HW quiz (TA session) you have two choices:
1. Do the entire assigment and hand it in
before the TA section in question (your TA will then grade the relevant question).
2. Otherwise you will receive the grade of E (excused) for the week's HW quiz and your homework total will be rescaled by the
appropriate factor (larger than one).
All HW quizzes will count (I will not discount your two worst quizzes as is sometimes done).
MAKEUPS
There will be no makeup for the
final exam or midterms except in case of medical emergency, family medical emergency, job interview
or university related absence. If you have a medical emergency we will
need a note verifying that from a medical professional. If you have a job interview we will need to see written evidence
of that interview and interview date.
In particular there will be no makeups
for family vacations so be careful about buying airplane tickets.
If you do miss a midterm or the final without being excused notify me that you have missed
the midterm or the final within a week. Otherwise you will receive a zero.
GRADING APPEALS
After each midterm or HW quiz students have one week from when the midterm
or quiz is returned to appeal the grading. No appeals for regrading work done during the semester
(including the midterms) can be made after the day of the final exam.
Appeals for the final exam must be done in writing.
BACKGROUND EXTRA COURSE NOTES (to be downloaded by you)
- To obtain a copy of the
handout on the basic probability distributions in pdf
format click distributions
- To obtain a copy of the lecture
Change of Continuous Random Variable in pdf
format click change of variable
-
The pdf
file for homework assignment (Extra Problem for HW 9) (Covariance and Correlation) is
available right here: ExtraProblemforHomework9
- The pdf
file for the lecture Random Samples is available right here: randomsamples
-
The pdf file for Practice Midterm 1 is not available here - go to Canvas for the link.
-
The pdf file for Practice Midterm 2 is not available here - go to Canvas for the link
-
The pdf file for the lecture on random intervals
is available right here: RandomIntervals
-
The pdf file for the lecture on confidence
intervals for the mean in a normal distribution when the variance is known
is available right here: ZConfidenceIntervals
-
The pdf file for the lecture on confidence
intervals for the mean in a normal distribution when the variance is
unknown is available right here: TConfidenceIntervals
-
The pdf file for the lecture on prediction
intervals for the next observation from a normal distribution when the
variance is known is available right here: ZPredictionIntervals
-
The pdf file for the lecture on prediction
intervals for the next observation from a normal distribution when the
variance is unknown is available right here: TPredictionIntervals
- Last Lecture. Moment Generating Functions
To obtain a copy of this lecture in pdf
format click momentgeneratingfunctions
-
The pdf file for the practice final exam is available
right here: PracticeFinal
The pdf file for the solutions of the practice final exam is available
right here: PracticeFinalSolutions