Prerequisites: | Single and multivariable calculus are a must; either Math 2283 or 3283 or 2574 are recommended. Ability to understand and occasionally write proofs required. |
Instructor: |
Victor Reiner (You can call me "Vic") Office: Vincent Hall 256 Telephone (with voice mail): 625-6682 E-mail: reiner@math.umn.edu |
Classes: | I teach two of the three lectures for this course this semester: Lecture 002, Tues-Thurs 10:10-12:05am, Vincent Hall 113 Lecture 003, Tues-Thurs 4:40-6:35pm, Ford Hall 115 (Lecture 001 is taught by Prof. Foo, Tues-Thurs 10:10-12:05am) |
Office hours: | Tues-Thurs 11:35-12:05pm, 6:05-6:35pm, and by appointment. |
Course content: | This is a course in the elements of probability and statistics, including topics such as probability spaces, random variables, their distributions, expected values, variances, law of large numbers, moments, moment generating functions, joint distributions, conditional and marginal distributions, Bayes theorem. We will also discuss the the normal distribution ("bell-shaped curve") and central limit theorem, as well as some of the other standard distributions, such as the Bernoulli, binomial, hypergeometric, Poisson, gamma, exponential, beta distributions. |
Required text: | Probability and Statistics, 4th edition by M. H. DeGroot and M. J. Schervish, Pearson either in the Univ. of Minnesota custom edition that has only Chapters 1-7 or feel free to buy the whole book, although the rest will not be needed. We should do most of Section 1.4-7.3, possibly omitting a few sections (e.g. 1.11, 3.10) Here is a web page of resources, errata for the text. |
Another resource: |
Prof. Charles Geyer's
slides
and
old course notes
from when he teachs this class. They're long, but I like them a lot. |
Relation to other courses: |
Math 5651 equals Stat 5101. No credit can be given for Math 5651 if credit has been received for Stat 4101 or Stat 5101. Math 5651 is a reasonable stand-alone course. It also functions as the sole prerequisite for Stat 5102 (mostly statistics), Math 5652 (more probability, stochastic processes), Math 5654 (prediction and filtering). Another reasonable stand-alone course in probability is Math 4653, which is taught at a lower level, and does not function as a prerequisite for the above classes. However one can get credit for Math 5651 after having taken Math 4653. |
Homework: | To be handed in at the beginning of the class period on the due date listed below. Late homework will not be accepted. I encourage collaboration on the homework, as long as each person understands the solutions, writes them up in their own words, and indicates on the homework page with whom they have collaborated. |
Component | Percentage of grade |
---|---|
Diagnostic exam (not graded; only for completion) |
2 |
homework (both quantity and quality) |
23 |
First midterm | 25 |
Second midterm | 25 |
Final exam | 25 |
TOTAL | 100 |
Homework/exam | Due date | HW problems/material covered |
---|---|---|
Math 5651 diagnostic exam from Prof. Greg Anderson, with a hint for Problem 5: you can use without proof the fact that integrating over the real line, ∫_{R} e^{-x2} dx = √ π |
Tuesday Jan. 26 | Only to be graded for completion; you must attempt seriously every problem |
HW 1 | Thursday Jan. 28 |
1.4 # 9 1.5 # 6,8,9 1.6 # 2,4,6,8 1.7 # 6,8,10 1.8 # 4,6,16,19 1.9 # 4,6,8 (moved sections 1.10, 1.12 to HW 2) |
HW 2 | Thursday Feb. 11 |
1.10 # 2,6,8 1.12 # 6,8,10,11 2.1 # 4,6,11 2.2 # 4,10,16 2.3 # 1,4,8 2.4 # 2 2.5 # 6,12,24 |
First exam | Thursday Feb. 25 in class |
Exam 1 (Chaps. 1, 2, Sec. 3.1, and EX for discrete X) Median and average scores approx. 70/100 Lec 002 Exam and answer key, Lec 003 Exam and answer key. |
HW 3 | Thursday Mar. 3 |
3.1 # 10 3.2 # 6,10 3.3 # 4,8,12 3.4 # 2,8,10 3.5 # 2,6,10 3.6 # 2,8,12 |
HW 4 | Thursday Mar. 24 |
3.7 # 2,6,8 3.8 # 4,14 3.9 # 4,8,16 3.11 # 6,8,14,22 4.1 # 4,6,8 |
Second exam | Thursday Mar. 31 in class |
Exam 2 (Covered Sections 1.4--4.2, with greatest emphasis on 3.1--4.2) Median and average scores approx. 76/100 Lec 002 Exam and answer key, Lec 003 Exam and answer key. |
HW 5 | Thursday Apr. 14 |
4.2 # 4, 10 4.3 # 4, 6 4.4 # 6, 8, 10 4.5 # 4, 6, 12 4.6 # 2, 5, 10, 18 4.7 # 2, 6, 8 4.9 # 10, 16 |
HW 6 | Thursday Apr. 28 |
5.2# 6,10 5.3# 2,6 5.4# 6,8 5.5# 5,6 5.6# 6,14 5.7# 1,8 5.8# 4 5.10# 2,8 5.11# 2,12,16 |
Chap. 6,7 problems to try | (not to be handed in) |
6.2# 2,6,7 6.3# 4,8 7.3# 5,14 |
Final exam | Tuesday May 10 Lec 002 from 1:30-3:30pm in VinH 113 Lec 003 from 4:40-6:40pm in FordH 115 |
Covered whole course, but emphasis on material since Exam 2, to end of Chapter 5. Median 73/100, average 75/100 Final exam and Final answer key |