#### Description

This is a course in Probability Theory with a minimum of prerequsites designed primarily for students in the Social Sciences who normally would take a Statistics course in their own department. Credit will only be given for one of MATH 111 and STAT 100.

#### Prerequisites

Satisfactory score on Math Department placement exam or completion of the appropriate module of MATH 003, or MATH 110. Not open to students who have completed STAT 100 or any MATH or STAT course with prerequisite of MATH 141. Credit will be granted for only one of the following: MATH 111 or STAT 100

#### Topics

**Counting**

Sets

Venn Diagrams

Partition principle for counting

Multiplication rule

Permutations

Combinations

Binomial formula

**Probability**

Sample spaces

Probability fundamentals

**Conditional Probabilities and Independence**

Conditional probability

Bayes Theorem

Independence

**Discrete Random Variables**

Probability function

Expected value

Variance

Binomial Distribution

Hypergeometric random variables

**Continuous Random Variables**

Normal random variables

Normal approximation

Probability estimation