Course abstract
Hypothesis testing is concerned with statistical testing of postulates (usually concerning parameters) in an empirical way, i.e., from data. It is an important subject and step in all spheres of data analysis. The course aims at providing the basics of hypothesis testing with emphasis on some commonly encountered hypothesis tests in statistical data analysis such as in comparisons of averages, testing for variability, proportions and significance testing in regression analysis.
Course Instructor
Prof. Arun K. Tangirala
He is a professor in the Department of Chemical Engineering, IIT Madras. His research specializations include the fields of data-driven modelling and process systems engineering. He is also the author of a comprehensive classroom text on empirical modelling titled � Principles of System Identification � Theory & Practice� published by CRC Press in Dec. 2014.More info
Teaching Assistant(s)
Course Duration : Mar-Apr 2016
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Syllabus
Enrollment : 08-Feb-2016 to 14-Mar-2016
Exam registration : 15-Mar-2016 to 01-Apr-2016
Exam Date : 24-Apr-2016, 30-Apr-2016
Enrolled
998
Registered
49
Certificate Eligible
26
Certified Category Count
Gold
0
Elite
10
Successfully completed
11
Participation
5
Success
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Category : Successfully Completed
Elite
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Category : Elite
Gold
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Category : Gold
Legend
>=90 - Elite+Gold
60-89 - Elite
35-59 - Successfully Completed
<=34 - Certificate of Participation
Final Score Calculation Logic
- Assignment Score = Average of best 3 out of 4 assignments.
- Final Score(Score on Certificate)= 70% of Exam Score + 30% of Assignment Score.
Introduction to Statistical Hypothesis Testing - Toppers list
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