ASSIGNMENT

$1)$ Decision Theory which examines the expected value of a set of decisions, based upon certain philosophies under uncertainty or risk.

$2)$ Regression Analysis which examines the relationship between a dependent variable and one or more independent variables to determine the predictive ability of the model $($can also use on time series data$).$

$3)$ Linear Programming $$ creating objective function and constraints to a problem and running solver $($production mix, marketing, finance, or transportation$)$

$4)$ Project Management $$ one time or three time estimates, probabilities of completion

$5)$ Forecasting $$ decomposition only, unless trying different techniques with MAD

and discussing the benefits$/$disadvantages of each technique