Spring 2019

This schedule is subject to change.

Date Topic
Wed 1/9 1 Introduction
Fri 1/11 2.1, 2.2 Sample spaces, 2.3 Probability
Mon 1/14 More 2.3 Probability, 2.4 Conditional probability
Wed 1/16 More 2.4 Conditional probability
Fri 1/18 No class meeting - Read 2.4 Conditional probability
Mon 1/21 MLK Day
Wed 1/23
More 2.4 Conditional probability
Fri 1/25
2.5 Independence
Mon 1/28
2.6 Combinatorics
Wed 1/30
More 2.6 Combinatorics
Fri 2/1
2.6 Combinatorics, 2.7 Combinatorial probability
Mon 2/4
3.1 Random variables, 3.2 Binomial distribution
Wed 2/6
3.2 Binomial and hypergeometric distributions
Fri 2/8
3.3 Discrete random variables
Mon 2/11
3.4 Continuous random variables
Wed 2/13
3.5 Expected value
Fri 2/15
More 3.5 Expected value
Mon 2/18
3.6 Variance
Wed 2/20
Catch up, review
Fri 2/22
Exam #1 (take-home; no class meeting)
Mon 2/25
3.7 Joint densities
Wed 2/27
More 3.7 Joint densities
Fri 3/1
3.8 Combining random variables
3/4-3/15
Spring break/Journeys/Peak week
Mon 3/18
3.9 More mean and variance
Wed 3/20
4.1, 4.2 Poisson distribution
Fri 3/22
More 4.2 Poisson distribution, 4.3 Normal distribution
Mon 3/25
More 4.3 Normal distribution
Wed 3/27
More 4.3 Normal distribution
Fri 3/29
4.4 Geometric distribution
Mon 4/1
More 4.4 Geometric distribution, 4.5 Negative binomial distribution
Wed 4/3
Catch up, review
Fri 4/5
Exam #2 (take-home; no class meeting)
Mon 4/8
5.1, 5.2 Estimation
Wed 4/10
More 5.2 Estimation
Fri 4/12 More 5.2 Estimation
Mon 4/15
5.3 Interval estimation
Wed 4/17
More 5.3 Interval estimation
Fri 4/19
Easter
Mon 4/22
6.1, 6.2 Hypothesis testing
Wed 4/24
More 6.2 Hypothesis testing
Fri 4/26
6.3 Testing proportions
Mon 4/29
6.4 Errors
Wed 5/1
Review, summary