This is a first course in probability and a prerequisite for a course in statistics. The course will cover:
How the rules of probability quantify chance
Discrete random variables and their distributions
Continuous random variables and their densities
Computing expectation and probability by conditioning
Multivariate probability distributions
This course will provide you with the main tools for calculating probabilities and thinking about randomness. It will also cover a number of examples, and it will give a background for understanding statistics.
Students will be expected to understand all of the main concepts and to connect them in order to solve problems. The best way to learn the material, in addition to coming to lectures, is to read the text and do lots of problems from the book.
Prerequisites
Linear algebra and calculus
Text
"Mathematical Statistics with Applications"
by D.D. Wackerly, W.Mendehall III, and R.L. Scheaffer (Duxbury Press, 2007.)
Grading
Homework 10% - approximately 5 homework sets, once every other
week
Midterm Exam 20% - in the 7th or 8th week of class
Final Exam 70% - covering entire course material
OR Final Exam 100% - covering entire course material
Rules
Homework problems are assigned in class, and are due
approximately a week after they have been
assigned (exact dates on the website). Hand in your
homework on time at the beginning of class, as late homeworks will not be accepted.
Students are encouraged to work together on homework. However, each student must write up the homework set their own.
I will answer basic questions over email within a day or two (not instantaneously), but for clarifications of material please come to office hours.
There will me no make-up midterm or final exam. The time for the final exam will be announced by the Concordia examination office. In case of special circumstance (approved by university regulations) you must contact me before hand.