Whether you’re building a chip or an airplane, you need to measure the effectiveness of the product at each step of the manufacturing process, much like you do with developing software. Flojoy, an ...

Testing functions isn't hard, but how do you test user input and output? In my last article, I started looking at "pytest", a framework for testing Python programs that's really changed the way I look ...

Statistical testing in Python offers a way to make sure your data is meaningful. It only takes a second to validate your data ...

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 ...

Christina Majaski writes and edits finance, credit cards, and travel content. She has 14+ years of experience with print and digital publications. Khadija Khartit is a strategy, investment, and ...

Multiple hypothesis testing is an important part of many high-throughput data analysis workflows. A common objective is to maximize the number of discoveries while controlling the expected fraction of ...

This is a preview. Log in through your library . Abstract Community detection in networks is a key exploratory tool with applications in a diverse set of areas, ranging from finding communities in ...

David R. Anderson, Kenneth P. Burnham and William L. Thompson This paper presents a review and critique of statistical null hypothesis testing in ecological studies in general, and wildlife studies in ...