Course Detail
Statistics: Applied Probability
STAT 2510 OL1 (CRN: 61421)
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.
Instructor
Notes
Prereqs enforced by the system; MATH 1224 or MATH 1248 or MATH 1242; Asynchronous online
More Information
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)
Class Times
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Location
Online (View Campus Map)
Important Dates
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