MATH 111 (Introduction to Probability)
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 |
| TEXT |
Text(s)
typically used in this course |
|
