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 ...

Newswise — Researchers from Northwestern University, University of Pennsylvania, and University of Colorado published a new Journal of Marketing study that proposes abandoning null hypothesis ...

"Statistical test," "null hypothesis," "p-value." These are terms that come up in nursing research, but they are hard to understand by name alone. This time, we will think about them using examples of ...

Permutation methods provide flexible, distribution-free approaches to statistical inference by rearranging data labels to generate an empirical null distribution for a test statistic. Historically ...

It may be common knowledge that p < .05 indicates statistical significance. Psychology students (and others) are often taught that p < .05 means the probability (p) of rejecting the null hypothesis ...

Liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS) is the main method for high-throughput identification and quantification of peptides and inferred proteins. Within this field, data ...

Subtitle] Why 'statistically significant' and 'effect within margin of error' can occur simultaneouslyStatistics textbooks teach interval estimation and hypothesis testing in separate chapters. As a ...

A practical guide to designing reliable A/B tests, from hypotheses and metrics to MDE, statistical power, sample size, ...

Should you believe the findings of scientific studies? Amid current concerns about the public’s trust in science, old arguments are resurfacing that can sow confusion. As a statistician involved in ...

Researchers from Northwestern University, University of Pennsylvania, and University of Colorado published a new Journal of Marketing study that proposes abandoning null hypothesis significance ...