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.

Hypothesis testing is a procedure for evaluating the strength of a hypothesis. The methodology depends on the data and the reason for the analysis.

Developing a good hypothesis should always be informed by some degree of knowledge, irrespective of any certainty around what the outcome may be. Here is how you can create a hypothesis for your ad ...

Successful completion of this course demonstrate your achievement of the following learning outcomes for the MS-DS program: Define a composite hypothesis and the level of significance for a test with ...

Most SEO teams still rely on checklists and guesswork. Learn how a hypothesis-driven approach leads to faster and smarter results.

A method is given for adjustment of the Neyman smooth goodness-of-fit test to allow for estimation of parameters in a composite hypothesis. With this method the limiting distribution under the ...