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

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 ...

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 ...

What? Perhaps primary among the challenges and conditions that face life scientists is the infinite variability between individuals. An important tool for measuring those disparities is the Null ...

Research and statistical analysis help us understand how the world works, how effective medications and treatments are, what influences our health, the best approach for business practices, and much ...

Business owners like to know how their decisions will impact their businesses. According to Harvard Business School Online, before making decisions, managers may explore the benefits of hypothesis ...

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 ...

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 ...

Methods of statistical inference (statistical tests, confidence intervals) are sometimes misused or interpreted incorrectly in practice. Also, the methods should be used consistently with statistical ...

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