Chapter 5 argued that substantial improvements in the cost-effectiveness of operational testing can be achieved by test planning and state-of-the-art statistical methods for test design. It was also ...

The books Lies, Damn Lies, and Statistics (Wheeler, 1976) and Damned Lies and Statistics (Best, 2001) have raised questions about whether statistics can be trusted. A number of educated people today, ...

Statistical testing and lower bounds in distributed estimation constitute a rapidly evolving area that addresses both the design of robust tests for assessing data properties across networked systems ...

Misuse of statistics in medical and sports science research is common and may lead to detrimental consequences to healthcare. Many authors, editors and peer reviewers of medical papers will not have ...

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 ...

This short course will provide an overview of non-parametric statistical techniques. The course will first describe what non-parametric statistics are, when they should be used, and their advantages ...

Suggested Citation: "1 Introduction." National Research Council. 1998. Statistics, Testing, and Defense Acquisition: New Approaches and Methodological Improvements ...