Course Detail
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Statistics: Applied Probability
STAT 2510 OL1 (CRN: 61421)
3 Credit Hours
to Online (View Campus Map)
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
to
Location
Online (View Campus Map)
Important Dates
Note: These dates may change before registration begins.
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Resources
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| STAT 1110 OL1 | Statistics: Elements of Statistics |
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