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In the November, 2014 issue of Business Valuation Update™, Robert Dohmeyer and Herbert Kierulff posited that "many appraisers have missed the statistical and causal subtleties inherent in both luck and skill, adhering to conventional wisdom that says 'companies with superior margins deserve a premium multiple.'"
In this live presentation of this and a subsequent article on the proper implementation of mean, median, and harmonic mean, Dohmeyer and Kierulff address how the nuances of statistical methods and measures are being overlooked at the expense of a sound and defensible conclusion of value.
Program Agenda
Statistical data errors and irregularities
Mean, median, harmonic mean: are they biased?
The low bias of the harmonic mean
The case for the median
Advanced central tendency
Statistical irregularity in reversion to the mean
Implications
Statistical error: Bias in the nature of the population
Major implication for income approach
Learning Objectives
Identify errors inherent in the use and application of basic statistical methods
Define how these errors affect valuations and values
Associate the implications of statistical selection and use errors with common business and valuation assumptions
Define how to best prepare for, avoid, or account for errors inherent in these statistical methods
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