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 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 ...

In a September 28, 2018 Change Request to Medicare’s Program Integrity Manual (“PIM”), the Centers for Medicare & Medicaid Services (“CMS”) updated its instructions to Medicare contractors regarding ...

Ali Hussain has a background that consists of a career in finance with large financial institutions and in journalism covering business. Vikki Velasquez is a researcher and writer who has managed, ...

here is very good news for CPAs whose clients face the often burdensome administrative costs of claiming allowable expense deductions for meals and entertainment (M&E)—the IRS now will permit the use ...

Discover how sample size neglect impacts statistical conclusions and learn to avoid this cognitive bias studied by renowned experts like Tversky and Kahneman.

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scheme for agricultural regulatory inspectors, the square root (Sqrt) of the lot size (N) + 1 was semiformalized in an unpublished report by the Association of ...

Statistical significance is a critical concept in data analysis and research. In essence, it’s a measure that allows researchers to assess whether the results of an experiment or study are due to ...

What is a one sample t test? The t test is a commonly used hypothesis test in statistics that allows us to compare the mean value of a group of sampled data with some hypothesized value, usually a ...