Course Detail

Statistics: Applied Probability

STAT 151 OL1 (CRN: 60541)

3 Credit Hours

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About STAT 151 OL1

Foundations of probability, conditioning, and independence. Business, computing, biological, engineering reliability, and quality control applications. Classical discrete and continuous models. Pseudo-random number generation. Prerequisites: MATH 020 or MATH 022.


Karen Benway ()

Related Program

Actuarial Exam Preparation


Dates: May 18 - August 14, 2015; Prereqs: MATH 020 or MATH 022

More Information

Section Description

This course will be a study of how we can use probability to model random phenomena. Topics will include: - Properties of probability including conditional probability, independence and Bayes' Rule. - Discrete random variables and their probability distributions including Uniform, Hypergeometric, Binomial, Negative Binomial and Poisson distribution models. - Continuous random variables and their probability distributions including Uniform, Exponential, Gamma, Chi-square and Normal distribution models. - Bivariate distributions including joint, marginal and conditional probability distributions, sums of independent random variables and the bivariate normal distribution.

Section Expectation

Two semesters of calculus are a prerequisite for STAT 151. We will use both differential and integral calculus.


Students will be evaluated based on: Weekly participation in Discussion Board 10% Weekly homework assignments 20% Proctored Midterm Exam 35% Proctored Final Exam 35%


Course runs from to



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Important Dates

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Last Day to Withdraw with 25% Refund
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