Hypothesis Testing : Essential statistics for Data Science
What you'll learn
- What is Hypothesis Testing? How to Frame Null & Alternative Hypothesis statements? What are the results of a hypothesis testing? And real-time examples.
- Why do errors occur in hypothesis testing? What are Type I and Type II errors? How to choose Type I error ? How to balance between Type I & Type II errors?
- How to use a point estimate to judge between Null & Alternative hypothesis? How to deploy Z or t statistic / table, calculate P-value, choose alpha and decide
- What is Beta & Power of the hypothesis test? What factors influence Beta and Power of the test? How to estimate beta and power of the test?
Requirements
- It is good for the student to have a little understanding on sample distributions, point estimate, Z / t test statistic and tables
Description
Hypothesis testing is one of the most essential topics in any statistical study and machine learning algorithms
P-value, alpha and point estimates find their foot prints in most of the statistical and ML studies.
Hence it is important to understand hypothesis testing in as much detail as possible .
The course includes five lectures
Starting the first lecture with the concepts that help you understand Hypothesis testing and what Null & Alternative hypothesis are. How to frame Null & Alternative hypothesis. Explain with a few real time examples
Lecture 2 introduces you to the possible errors namely type I and Type II errors that occurs as a result of the hypothesis testing. Explains how to choose Type I error and balance between Type & II errors
The third lecture is the main lecture and an elaborate one. Helps you understand how to apply the concepts and carry out the hypothesis testing applying all the essential statistical concepts. Explains all the statistical steps and their sequence involved in carrying out the hypothesis test until the conclusion is arrived
The fourth lecture is dedicated for illustration of the hypothesis testing using real time examples
The fifth and the final lecture explains you all about the power of the hypothesis test. The roll of type II error and it probability beta on the power of the test
All the above steps Comprehensively cover all the details in great level of granularity that at the end of the course I am sure you will have a complete and a comprehensive understanding on Hypothesis testing and how to carry them out
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Who this course is for:
- Useful for Data science aspirants and professionals and student communities across management, marketing, medical , economics, engineering and many other wide spectrum of disciplines
Instructor
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- 10 Students
- 3 Courses
MTech IIT Kharagpur, Experienced Professional with over 30 years of experience in the fields of Digital TV, broadcast standards, consumer electronics and rolling mill automation, with expertise on Requirements Management, Inventions Disclosure Management, Advanced Development, Project & Supplier Management, Senior Business Analyst, Object Oriented and state machines based Requirements Modelling, Invention Disclosures , Digital TV Coaching & Trainings (international), Digital TV Technical Opinions/Blogs , Embedded development and posses International work experience with Philips/TPVISION Bruge, Ghent, Eindhoven, Robert Bosch Germany, AEG Westinghouse / CEGELEC USA