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 ...

Ideally, we make a plan for the analysis before the data are collected. Once you have decided on the test you would like to use, you need to check the assumptions. These are conditions which your data ...

In Hypothesis Testing 1, you were introduced to the ideas of hypothesis testing in the context of deciding whether a coin was fair or biased in favor of heads. In this section hypothesis testing ...

Confidence intervals and hypothesis tests are directly linked. Confidence intervals can be used to check the reasonableness of claims about the parameter. If someone claims the parameter is equal to ...

Hypothesis testing provides organizations with a structured approach to evaluate assumptions using data, reducing reliance on intuition and enhancing decision accuracy. By validating decisions ...

Understanding the difference between a null hypothesis and a hypothesis can make or break your testing and analysis stages.

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 ...