With statistical sampling, counsel can simplify damage analyses, avoid potential issues with incomplete or missing data, and minimize the risk of error. In our prior ...

In a unanimous decision, the California Supreme Court on May 29 reversed a class action verdict for a class which was based on a flawed statistical model to determine liability and damages. Duran v. U ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

Systematic sampling is straightforward and low risk, offering better control. However, it may introduce sampling errors and ...

If no other sources are available to measure certain variables of a target population, Statistics Netherlands often uses a random sample, i.e. a sample of units from the population drawn in accordance ...

When auditing a company, auditors use a combination of professional judgment and statistical sampling methods to estimate account balances. Statistical sampling is an efficient way to design samples, ...

In a simple random sample, each individual in the population has an equal probability of being chosen. Additionally, each sample of size n has an equal probability of being the chosen sample. This ...

Originating in the 1920s as a sampling scheme for agricultural regulatory inspectors, the square root (Sqrt) of the lot size (N) + 1 was semiformalized in an unpublished report by the Association of ...