How to Measure Anything: Common Statistics Misconceptions that Get in the Way of Measurement (Doug Hubbard, 60 minutes)

Often, misunderstandings about statistics will cause decision makers to assume that certain things aren’t measurable. They may believe that they lack a “statistically significant” amount of data or that messy and biased data is the same value as no data at all. Doug Hubbard will explain that the real math behind these concepts contradicts common assumptions about what can be inferred from a given amount of data. After a few key misconceptions are overturned, you will see how much more is measurable than you ever thought.

Interactive Decision Support at Lockheed Martin Using Probability Management Concepts   (Phil Fahringer, 60 minutes) 

Philip Fahringer, Lockheed Martin Fellow, will provide a live demonstration of Decision Support Applications implemented at Lockheed Martin using Probability Management approaches and concepts. These applications have directly led to improved customer and business outcomes through better communication of analytic insights to help better balance performance and risk and inform decision making.

Analytical models are easy to explain. The hard part is getting people to understand them. This is particularly true with statistical concepts, for which most of us have little intuition. This webinar shows how to bring statistical concepts to life through SIPmath simulations in Excel which run thousands of trials per keystroke. Learn how to wake people up with your analytical presentations instead of putting them to sleep with PowerPoint.

Topics: The Flaw of Averages, Communicating Uncertainty as Data, SIPmath - the Arithmetic of Uncertainty

SIPmath Modeler Tools Basics (Brian Putt, 60 minutes)

In this tutorial webinar, you will learn how to use the free 3.0 SIPmath Modeler Tools, available on our website. With these tools you can easily create dynamic simulation models that can run in Microsoft Excel without any macros or add-ins. Create new models or make your existing deterministic model robust to reflect uncertainty using the SIPmath Tools

SIPmath - The Glue to Integrate Models Across Organizational Boundaries (Eric Torkia, 60 minutes)

One of the major challenges Monte Carlo simulation is that the applications tend to be focused on a specific problem or area in the organization. Of course, the true power of this analysis needs to be shared and used as inputs to other models otherwise there is the potential of missing out on key insights because important models are not being aggregated from all areas of the organization. This approach allows for, through a structured approach, the ability create company-wide meta-models that combine all the insight from sub-models created in other parts of the organization. This notion of networking multiple models also extends outside the firm. Organizations could and can integrate probabilistic data from outside entities (such as government agencies, banks, open data repositories, etc. ) to enrich their model with “real” data.

SIPmath Workbench: From Blank Worksheet to Proof of Concept in 10 Minutes (Sam Savage, 60 minutes)