Course Detail

Statistics: Applied Probability

STAT 151 OL1 (CRN: 60809)

3 Credit Hours

The period for adding the course STAT 151 OL1 has ended.

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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.

Instructor

Karen Benway ()

Related Program

Actuarial Studies

Notes

Dates: May 19 - August 8, 2014

More Information

Section Description

Catalog Description: 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. Course Summary: This course involves the study of random phenomena. The notion of probability is developed from an experimental as well as a theoretical perspective. We will use mathematics skills including set theory, combinatorics, infinite series, exponential and logarithmic function and integral evaluation. Note that successful completion of differential and integral calculus is a prerequisite for this course. STAT 151 is a rigorous course that many students find challenging. At the very least, it requires a substantial amount of work. For these reasons, it is very important to keep up with the course material and seek help immediately if you need it.

Evaluation

Grades will be assigned using the following criteria: Discussion Board 20% Quizzes 20% Tests 45% Final Exam 15%

Meetings

Course runs from to

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Location

Online Course (View Campus Map)

Important Dates

Deadlines
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Last Day to Withdraw with 25% Refund
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