This course, taught by Garland Granger, CIA, CPA, CFE, covers methods of random sampling, non-random selection, and adjusting for population size and resource constraints. This also covers how to present this information properly.

This course covers sampling for attributes, sampling for classic variables, and statistical analysis and risk.

Learning Objectives
  • Explore Sampling for Attributes
  • Identify Sampling for Classic Variables
  • Explore Statistical Analysis and Risk
Last updated/reviewed: August 17, 2023
Course Search
5 Reviews (20 ratings)

Reviews

3
Member's Profile
Test was not easy to pass, even after lecture, reading definitions and reviewing course notes.

4
Member's Profile
Good webinar on Sampling. Material was structured well and easy to follow.

5
Member's Profile
good review. Taught in a way the makes it easy to understand.

2
Anonymous Author
A lot of what was on the exam wasn't covered in the notes

5
Member's Profile
illumeo is the best way to fullfill CPEs. thanks again

Prerequisites
Course Complexity: Foundational

No advanced preparation or prerequisites are required for this course.

Education Provider Information
Company: Illumeo, Inc., 75 East Santa Clara St., Suite 1215, San Jose, CA 95113
Contact: For more information regarding this course, including complaint and cancellation policies, please contact our offices at (408) 400- 3993 or send an e-mail to .
Instructor for this course
Course Syllabus
INTRODUCTION AND OVERVIEW
  1 Introduction to Statistical Sampling8:57
  Lesson 2 - Sampling for Attributes17:44
  Lesson 3 - Sampling for Classical Variables - Part 114:08
  Lesson 4 - Sampling for Classical Variables - Part 212:54
  Lesson 5 - Analysis and Conclusion21:08
CONTINUOUS PLAY
  Statistical Sampling Full Video1:14:51
SUPPORTING MATERIALS
  Study Guide: Statistical Sampling PDF
  Statistical Sampling Glossary/IndexPDF
REIVEW AND TEST
  REVIEW QUESTIONS quiz
 FINAL EXAMexam