In order to test a hypothesis in traditional (“frequentist”) statistics, you posit an alternative called the “null hypothesis”. The null hypothesis should be chosen so as to represent the default ...

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 ...

One hundred years ago, an English lady, Dr Muriel Bristol, amazed some leading statisticians by proving that she could determine by taste the order in which the constituents are poured in a cup of tea ...

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 ...

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...

Understanding the basics of statistics can be quite challenging. One of the problems with statistical analysis is the manner in which it is presented, which is often rather disjointed. This series of ...

Central to the theme of hypothesis testing is the P-value, which is often misunderstood or misinterpreted. While it is often stated as the probability of the data having arisen by chance, the P-value ...

Suggested Citation: "Appendix D: Using Bayes Analysis for Hypothesis Testing." National Academies of Sciences, Engineering, and Medicine. 2019. Reproducibility and ...

Confidence intervals are computed from a random sample and therefore they are also random. The long run behavior of a 95% confidence interval is such that we’d expect 95% of the confidence intervals ...