Every statistical test comes with its own set of assumptions about the data. These can include normality (the data follows a normal distribution), homoscedasticity (consistency of variance across ...

Like many other statistical tests, the z test lets us calculate a test statistic to compare with a critical value, test our hypotheses and find a p-value to test the strength of evidence. The formula ...

This article explores the concept of statistical hypothesis testing, its process, and how organizations can leverage it to make better business decisions. We’ll also examine real-world examples ...

Background/ Aim The CONSORT (Consolidated Standards of Reporting Trials) statement discourages reporting statistical tests of baseline differences between groups in randomised controlled trials (RCTs) ...

Journal of the American Statistical Association (2015). [4] RAPTT: An Exact Two-Sample Test in High Dimensions Using Random Projections. Journal of Computational and Graphical Statistics (2016).

A fundamentally new concept of test has been steadily developing and gaining acceptance in the semiconductor industry. This concept is to apply the statistical methods that have long been used to ...

A very important and yet widely misunderstood concept or problem in science and technology is that of precision and accuracy of measurement. It is therefore necessary to define the terms precision and ...