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 ...

Non-parametric tests are used when standard assumptions are not available. These tests don’t rely on distributions, often ...

Health researchers need to fully understand the underlying assumptions to uncover cause and effect. Timothy Feeney and Paul Zivich explain Physicians ask, answer, and interpret myriad causal questions ...

Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision-making. In both traditional ...

Nowadays, the word “insight” is used by many market researchers to describe the means by which companies and brands can understand their customers’ tastes, motivations and needs. These insights allow ...

Their goal is admittedly ambitious: To compete with the Summer Program in Quantitative Methods of Social Research offered by the University of Michigan—considered to be the gold standard in advanced ...

When you use the statistical analysis features in Excel, you are leveraging one of the most powerful tools available for data manipulation and interpretation. Excel is not just a spreadsheet ...

In the early 1920s, a trio of scientists sat down for a break at Rothamsted agricultural research station in Hertfordshire, UK. One of them, a statistician by the name of Ronald Fisher, poured a cup ...