About STAT 2510 A
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; Open to Degree and PACE students
Section Description
This is a 3 credit hour lecture course covering foundations of probability, conditioning, and independence. Classical discrete and continuous models.
Section Expectation
Prerequisites: MATH 1224 or MATH 1234 or MATH 1242.
Required Textbook: “Introduction to Probability” by Ward and Gundlach, Freeman (1st Ed.).
iClicker participation at each class
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%), Participation (10%) and Exams (17.5% each)
Important Dates
| 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 |
Resources
Other Sections
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Statistics: Applied Probability (STAT 2510 B) Quick Course Review Quick View
This section is closed
- CRNCreditsInstructors
- 93176 3 Katherine Merrill
- DatesDays of the WeekTimes
- to Tue Thu to
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