Intro to Prob and Stats

There is no required textbook. All lecture notes will be posted here. For further reading I recommend John E. Freund's Mathematical Statistics with Applications. Interesting Fact: The author died in 2004 and the current edition is written by Miller and Miller.

Office Hours: Tues and Wed at 4-5pm over Zoom. Also by appointment.

Here is the syllabus.
Click here for Course Notes
Item Date Information
Homework 1
Solutions
Thurs, Jan 27 Interactive Binomial
Binomial Probability
Algebra of Sets
Three Rules for Probability
Homework 2
Solutions
Thurs, Feb 10 Multinomial Probability
Principles of Counting
Hypergeometric Probability
Conditional Probability
Bayes' Theorem
Exam 1: Thurs Feb 17, in class
Solutions
Homework 3
Solutions
Thurs, Mar 3 Discrete Random Variables
Binomial, Geometric, Hypergeometric
Expected Value
Linearity of Expected Value
Homework 4
Solutions
Tues, Mar 22 Variance and Standard Deviation
Covariance
Bilinearity of Covariance
Independent Random Variables
Exam 2: Thurs Mar 24, in class
Solutions
Homework 5
Z Table
Solutions
Thurs, Apr 7 Continuous Random Variables
De Moivre-Laplace Theorem
Central Limit Theorem
Homework 6
T Table
Solutions
Thurs, Apr 21 Estimating a Proportion
Estimating a Mean
Hypothesis Tests
Confidence Intervals
Exam 3: Thurs Apr 28, in class
Solutions