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 ...

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 ...

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 ...

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 ...

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 ...

Professor Klaus Nordhausen develops modern multivariate statistical methods to analyze high-dimensional and large datasets in different fields.