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Decision Optimization by Maximizing Expected Value
Expected value analysis is a powerful way to distill a massive array of possibilities into a few numbers, which helps clarify the most profitable course of action. This short course goes from the basics to important insights for business financial management.





It starts with a simple calculation based on potential outcomes and their probability. The first lesson walks you through the calculation and points out limits to it. We then look at influence diagrams, which are a good way to get a high-level view of the key factors in an expected value decision.





Next, we look at decision trees. Decision trees show the sequence of decisions and uncertainties. Every path through the tree is a scenario for which we can calculate an EV. The tree shows a range of outcomes, their probabilities, and the value of those outcomes. This helps us assess and clearly communicate both the EV and risk. We can better help evaluate the odds and magnitude of gaining – or losing – money.

This webinar is available with NO ADDITIONAL FEE if you have an active all access membership or webinar membership or can be purchased for $10.00!

Instructor:Rob Stephens
Course No:STAT-EXPECTED-G90025
Recommended CPE:1.00
Delivery Method:Group Internet Based - Webinar
Date Offered:3/31/2026 10:00 AM - 11:00 AM
Level of Knowledge:Basic
Prerequisites:None
Advanced Preparation:None
Registration Requirements:No registration is required
Recommended Field of Study:Webinars - Group
Statistics
  
Learning Objectives
  • Recall how to calculate the expected value.
  • Recognize decision tools.
  • Identify ways to reduce risk.

CPE Depot Inc. is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.nasbaregistry.org.

Sponsor Number: 109423

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