Hypothesis testing is a statistical method for determining whether data sufficiently supports a specific hypothesis. It’s a vital skill when analyzing business processes to identify and solve problems. This course will dive deep into Hypothesis testing to enhance your analytical skills.
We’ll introduce you to Hypothesis Testing and explore the Null and Alternative Hypotheses. We’ll explain the use of p-values in decision-making, the Analysis Roadmap, and how to apply the Test Selection Matrix. You’ll also gain an understanding of the two types of errors that occur when using these concepts and how to navigate them.
What you’ll learn
Hypothesis Testing Concepts
Null and Alternative Hypotheses
The use of p-Values
The Analysis Roadmap and Test Selection Matrix
The 2 types of Errors involved with Hypothesis Testing