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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: June 28, 2019

1 Review (2 ratings)Reviews

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

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 .
Course Syllabus
INTRODUCTION AND OVERVIEW
  8:571 Introduction to Statistical Sampling
  17:44Lesson 2 - Sampling for Attributes
  14:08Lesson 3 - Sampling for Classical Variables - Part 1
  12:54Lesson 4 - Sampling for Classical Variables - Part 2
  21:08Lesson 5 - Analysis and Conclusion
CONTINUOUS PLAY
  1:14:51Statistical Sampling Full Video
SUPPORTING MATERIALS
  PDFStudy Guide: Statistical Sampling
  PDFStatistical Sampling Glossary/Index
REIVEW AND TEST
  quizREVIEW QUESTIONS
 examFINAL EXAM