It is preferable if you come to this short course having reviewed some of these basic concepts that will be frequently mentioned: ...

A behind-the-scenes blog about research methods at Pew Research Center. For our latest findings, visit pewresearch.org. Many of Pew Research Center’s survey analyses show relationships between two ...

I 'm a big fan of Python for data analysis, but even I get curious about what else is available. R has long been the go-to language for statistics, but the "Tidyverse" has given the language a serious ...

Multicollinearity is a common issue in multiple regression analysis, where the presence of high correlation among predictor ...

In statistics, a mathematical method of modeling the relationships among three or more variables. It is used to predict the value of one variable given the values of the others. For example, a model ...

During the course of operation, businesses accumulate all kinds of data such as numbers related to sales performance and profit, and information about clients. Companies often seek out employees with ...

The Annals of Statistics, Vol. 28, No. 5 (Oct., 2000), pp. 1245-1278 (34 pages) The interval mapping method has been shown to be a powerful tool for mapping QTL. However, it is still a challenge to ...

Recently linear rank statistics with censored data have been used as the estimating functions for the regression parameters in the linear model with an unspecified ...

Understanding one of the most important types of data analysis. by Amy Gallo You probably know by now that whenever possible you should be making data-driven decisions at work. But do you know how to ...