Hypothesis testing can be an overwhelming topic to grasp if you're new to the subject. As well as dealing with all of the different terminology, you have to perform several steps to run a test. Even if you use software, you have decisions to make at each step, such as what you're testing in the first place and what kind of wiggle room for error you're willing to accept. This graphic gives an overview of the hypothesis testing process in one picture. See below for links to articles explaining each part of the procedure in more detail.
More info:
Null Hypothesis Definition and Examples, How to State
Alternate Hypothesis in Statistics: What is it?
Alpha Level (Significance Level): What is it?
Which statistical test to choose?
References
© 2021 TechTarget, Inc.
Powered by
Badges | Report an Issue | Privacy Policy | Terms of Service
Most Popular Content on DSC
To not miss this type of content in the future, subscribe to our newsletter.
Other popular resources
Archives: 2008-2014 | 2015-2016 | 2017-2019 | Book 1 | Book 2 | More
Most popular articles
You need to be a member of Data Science Central to add comments!
Join Data Science Central