## Introduction: Probability and Counting

### Mark Sawyer + Follow

#### Lecture Description

Outcomes, sample, space, events, and probability functions.#### Course Description

This is a math course aimed at students with life science majors covering elementary probability, probability distributions, random variables, and limit theorems.#### Lectures

- Introduction: Probability and Counting
- Probability Functions
- Permutations
- Probability Functions (continued)
- Conditional Probability
- Conditional Probability (continued)
- Independent Events
- Random Variables
- Expected Values
- Binomial Distributions
- Midterm Review
- Multinomial Distributions
- Geometric Distributions
- Poisson Distributions
- Poisson Distributions (continued)
- Density Function
- Exponential Distributions
- Normal Distributions
- Normal Distributions (continued)
- Standard Normal Distributions
- Central Limit Theorem
- Hitstogram Correction
- Midterm Review 2
- Analyzing Data in Probability
- Analyzing Data in Probability (continued)
- Limit Theorems
- Limit Theorems (continued)
- Course Review

## Discussion