Introduction to Probability

Student Learning Outcomes, Goals, Objectives:

Students successfully completing this course will be able to:

• understand the basic concepts of probability and its laws;

• understand various discrete and continuous probability distributions;

• be able to compute and interpret probabilities and moments associated with a probability density.

• understand various sampling distributions;

• appreciate the significance of Central Limit Theorem and its important role it plays in sampling;

• apply the concepts and methods in solving real world problems.

Course Grading Information:

Activity/Performance Measure	Percentage/Points
Homework	30%
Midterm 1	20%
Midterm 2	20%
Final Project	30%

Grading Scale:

Percentage	Letter Grade
93-100	A
90-92	A-
87-89	B+
83-86	B
80-82	B-
77-79	C+
73-76	C
70-72	C-
67-69	D+
63-66	D
60-62	D-
0-59	F

Attendance/Participation:

Attendance/participation is not a graded component included in the student's final grade for this course. However, attendance to each class meeting is required and beneficial. Students are responsible for all announcements and supplements given within any lecture and/or via course email. Any in-class work missed cannot be made up.

Course Materials Purchased by the Students:

John Freund’s Mathematical Statistics with Applications, 8th edition, by Miller & Miller, Pearson, ISBN: 9780134995373 (paperback) or ISBN: 978-0-321-80709-0 (hardcover).

Scholarly Perspectives

This course engages diverse scholarly perspectives to develop critical thinking, analysis, and debate, and inclusion of a reading does not imply endorsement.