Have you ever wondered if a change to your website or marketing strategy really makes a difference? In this guide, I will show you how to use hypothesis test to make data-driven decisions with confidence.
In data analysis, hypothesis testing is frequently used when running A/B testing Compare two versions of a marketing campaign, website design, or product feature to make data-driven decisions.
- The hypothesis testing process.
- Different types of tests
- Understanding p-values
- Interpret the results of a hypothesis test.
Hypothesis testing is a way of deciding whether there is enough evidence in a sample of data to support a particular belief about the population. In simple terms, it is a method of testing whether a change you have made has a real effect or whether any difference is simply due to chance.
