Mathematics

# MATH 3081: Probability and Statistics

Lecture - 4 credits

ND

EI

IC

FQ

SI

AD

DD

ER

WF

WD

WI

EX

CE

- Focuses on probability theory.
- Topics include sample space; conditional probability and independence; discrete and continuous probability distributions for one and for several random variables; expectation; variance; special distributions including binomial, Poisson, and normal distributions; law of large numbers; and central limit theorem.
- Also introduces basic statistical theory including estimation of parameters, confidence intervals, and hypothesis testing.

Focuses on probability theory.

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