In this section, you will find information about some types of parametric tests used in data analysis. These tests are powerful tools for making inferences about populations. Whether you are looking ...

Generally speaking, the simpler the task, the less detail needed in the prompt. Here’s an example of a more complex analysis request on the same dataset. Ideally the user would put in some effort to ...

Data analyses usually make assumptions (which may be explicit or, more commonly, implicit): for example, “no unmeasured confounding”. When assumptions are untestable their potential importance can ...

Interpretation is central to the social scientist's process of analysis, regardless of whether that analysis relies on quantitative or qualitative data. This essay presents a "reconstructed logic" of ...

Investment decisions are frequently understood as products of quantitative analysis, such as the review of earnings reports, ...

The accelerated impact of data and analytics on organizational success means C-suite leaders must gain greater quantitative and data analysis knowledge. No longer can they merely delegate the ...