Hypothesis testing is a formal procedure for investigating our ideas about the world using statistics. It is most often used by researchers to test predictions, called hypotheses. The first step in ...

The Bonferroni test guards against falsely declaring significance by correcting for multiple simultaneous hypothesis tests.

A t-test is an inferential statistic used in hypothesis testing to determine if there is a statistically significant difference between the means of two samples.

Today our goal is to cover hypothesis testing and the basic z-test, as these are fundamental to understanding how the t-test works. We’ll return to the t-test soon — with real data.

In the realm of technical product development, hypothesis testing acts as a bridge between design, data and decision-making. It enables teams to move beyond assumptions and validate their ideas ...

In Hypothesis Testing 1, 2 and 3, you have used normal and t-distributions to test hypotheses. Chi-Square tests use the Chi-Square probability distribution. You will be introduced to the use of that ...

Testing The Hypothesis Learning Objectives Students will conduct an experiment in order to determine the origin of a family artifact.

Importance of Hypothesis Testing in Business Essentially good hypotheses lead decision-makers like you to new and better ways to achieve your business goals.

, , Bayesian Hypothesis Testing: A Reference Approach, International Statistical Review / Revue Internationale de Statistique, Vol. 70, No. 3 (Dec., 2002), pp. 351-372 ...

Testing The Hypothesis Learning Objectives Students will conduct an experiment in order to determine the origin of a family artifact.