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.
Teaching Assistant(s)
No teaching assistant data available for this course yetCourse Duration : Feb-Mar 2017
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Enrollment : 01-Jan-2017 to 20-Feb-2017
Exam registration : 30-Jan-2017 to 27-Feb-2017
Exam Date : 23-Apr-2017
Enrolled
968
Registered
19
Certificate Eligible
8
Certified Category Count
Gold
0
Silver
0
Elite
4
Successfully completed
4
Participation
6
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
40-59 - Successfully Completed
<40 - No Certificate
Final Score Calculation Logic
- Assignment Score = Average of best 3 out of 4 assignments.
- Final Score(Score on Certificate)= 75% of Exam Score + 25% of Assignment Score
Introduction to Statistical Hypothesis Testing - Toppers list
Enrollment Statistics
Total Enrollment: 968
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