STAT 2510 OL1 (CRN: 61421)

Statistics: Applied Probability

3 Credit Hours

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.

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

Resources