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Statistical Inference and Hypothesis Testing in Data Science Applications
This course is part of Data Science Foundations: Statistical Inference Specialization
Free
This Course Includes
coursera
4.7 (37 reviews )
35 hours (approximately) 
english
Online - Self Paced
course
University of Colorado Boulder
About Statistical Inference and Hypothesis Testing in Data Science Applications
Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate
What You Will Learn?
- Define a composite hypothesis and the level of significance for a test with a composite null hypothesis..
- Define a test statistic, level of significance, and the rejection region for a hypothesis test. Give the form of a rejection region..
- Perform tests concerning a true population variance..
- Compute the sampling distributions for the sample mean and sample minimum of the exponential distribution..