Introduction to Statistics and Probability

Overview of probability; conditional probability and independence; Bayes Theorem; discrete and continuous random variables including jointly distributed; key distributions including the normal and its spin offs; properties of expectation and variance; conditional expectation; covariance and correlation; Central Limit Theorem; law of large numbers; Parameter Estimation.

Prefix
BIOST
Number
556
Credits
5
Variable Credit?
No
Credit/no-credit only?
No
Joint Class?
Yes
With
DATA 556/STAT 556
Offered
Autumn