About this course

This is a verified track course, which means you can choose to receive a certificate at any point while enrolled by verifying your ID and paying a processing fee (listed to the right).

In this course, you will explore key concepts in statistics and sampling whilst being walked through a worked example.

What you will learn

The worked example in the course shows how to calculate the sample size when performing tests designed to prove that the charges presented to customers are accurate with a high level of confidence. However, the same principles can be applied to many other scenarios where assurance practitioners take a sample of test results and want to know the relationship between the size of the sample and the reliability of the conclusions drawn.
The following topics will be covered:

Topic 1: Describing an Assurance Challenge Mathematically
Topic 2: Statistical Confidence
Topic 3: The Initial Question and Answer
Topic 4: Performing Calculations
Topic 5: Choosing the Decision Threshold

Instructor

Eric Priezkalns

Eric is the Chief Executive of the Risk & Assurance Group (RAG). He is also the Editor of Commsrisk.com, and has spent many years encouraging telcos and vendors to invest in educating their staff about the leading practices in telecoms risk management.

Eric has managed risks and assured revenues for various telcos as either a manager or a consultant. He was the Director of Risk Management for Qatar Telecom and he has worked with Cable & Wireless, T‑Mobile, Sky, Worldcom and others. He was lead author of Revenue Assurance: Expert Opinions for Communications Providers, published by CRC Press. He is a qualified chartered accountant, with degrees in information systems, and in mathematics and philosophy.

Course Provider

Risk & Assurance Group

RAG: STAT1
Calculating Sample Sizes for Assurance: A Worked Example

About this course

Calculating Sample Sizes for Assurance: A Worked Example