STAT 2510 OL1 (CRN: 61421)

Statistics: Applied Probability

3 Credit Hours—Seats Available!

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About STAT 2510 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 1224 or MATH 1248 or MATH 1242.

Notes

Prereqs enforced by the system; MATH 1224 or MATH 1248 or MATH 1242; Asynchronous online

Section Description

This is a 3 credit hour lecture course covering foundations of probability, conditioning, and independence. Classical discrete and continuous models. **THIS COURSE IS FAST PACED, LOTS OF INTENSE MATERIAL. PLEASE CONSIDER YOUR WORK/SCHOOL LOAD WHEN SIGNING UP FOR THIS SUMMER COURSE.

Section Expectation

Prerequisites: MATH 1224 or MATH 1234 or MATH 1242. Required Textbook: “Introduction to Probability” by Ward and Gundlach, Freeman (1st Ed.). Assignments are in BrightSpace. There is an assignment for each chapter. Homeworks are due on a weekly basis. Examinations: There are 4 exams for the 4 units of material. They are not cumulative exams.

Evaluation

Grades will be based on: Assignments (20% - drop the lowest 4), and Exams (20% each)

Important Dates

Note: These dates may not be accurate for select courses during the Summer Session.

Courses may be cancelled due to low enrollment. Show your interest by enrolling.

Deadlines
Last Day to Add
Last Day to Drop
Last Day to Withdraw with 50% Refund
Last Day to Withdraw with 25% Refund
Last Day to Withdraw

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