Numerous examples from clinical research are worked through both manually and using SAS. Methods presented include t-tests, analysis of variance, repeated measures ANOVA, linear regression, analysis ...

Statistics is a branch of applied mathematics that involves the collection, description, analysis, and interpretation of data drawn from a sample of a larger population.

“Students who blend scientific and mathematical skills with team leadership abilities are set to thrive in data analysis careers," Woods said. "These students bring a high level of precision to their ...

Often, before data are even collected, it is necessary to calculate and justify the required sample size for a study. Choosing an appropriate sample size is important since it allows us to detect ...

Data analytics draws from a range of disciplines — including computer programming, mathematics, and statistics — to perform analysis on data in an effort to describe, predict, and improve ...

As with any set of data, the more information you have accumulated, the more accurate your analysis will be. A single set of reports from 20 employees can be used to compare scores based on job ...

In this article, a summary of some research bearing on the statistical analysis of econometric models is reviewed. Many estimation, testing, and prediction techniques used in econometrics have just ...