Exam P Preparation Program For January 2022 Sitting

Register Today!






Join The Exam P Preparation Program offering Bi-Weekly Live Lectures of key exam syllabus topics and related problem solving review, Bootcamp Classes, Quizzes, Practice Exams, plus the opportunity for each student to receive individual assistance and support from the lead instructor throughout the program.

Dr. Aaron Goldsmith specializes in preparing students for Exam P. His teaching experience includes leading a variety of probability/statistics courses at University of Wisconsin at Madison.  Dr. Goldsmith earned his PhD in mathematics at Texas A&M in 2015 and his BS from University of Missouri Rolla in 2007.  He possesses a great passion for helping his students succeed.

The Exam P Preparation Program provides the following:

  1. Bi-weekly 1.5 hour live lectures integrating concept building with significant focus on problem solving improvement
  2. Open Forum for questions with Professor Goldsmith immediately following each lecture
  3. Bootcamp classes with intensive focus on problem solving advancement
  4. Quizzes to reinforce material reviewed during live lectures
  5. ‘2’ Practice exams with full review of best solutions in class
  6. Weekly Online Office Hours with Professor Goldsmith
  7. Mini-Sessions in which students can schedule private help with Professor Goldsmith
  8. Q & A Email Correspondence in which students can email Professor Goldsmith questions
  9. The Exam P Discussion Group open only to program members to communicate with each fellow students and Professor Goldsmith
  10. All live classes recorded and available to students

Schedule

Live Classes & Subjects

(All Classes 7:00-8:30PM EDT)

Lecture 1
11/30
Review assumed curriculum, RV Transformation, Coefficient of Variation
Lecture 2
12/02
Conditional probability, Law of Total Probability, Bayes Theorem
Lecture 3
12/07
Normal Distribution, Central Limit Theorem
Lecture 4
12/09
Linear Combinations, Order Statistics
Lecture 5
12/14
Higher Moments, PGFs, MGFs
Lecture 6
12/16
Multivariate Probability, Joint Distributions
Lecture 7
12/21
Correlation Coefficient, Covariance
Lecture 8
12/23
Marginal/Conditional Distributions
Lecture 9
12/28
Multivariate Moments, MGFs
Lecture 10
12/30
BOOTCAMP 1
Lecture 11
01/04
BOOTCAMP 2
Lecture 12
01/06
BOOTCAMP 3 and Assign Exam 1
Lecture 13
01/11
Review Exam 1 and Assign Exam 2
Lecture 14
01/13
Review Exam 2

Join The Exam P Preparation Program and Position Yourself to Pass Exam P During the January 2022 Sitting

REGISTER