Inferential Statistics: Sampling & Hypothesis Testing

Course details

This course is thekeyto build an excellent understanding of Inferential Statistics. It has students (from over100countries) and here is what some of them have to say:

"The detail level coverage of the basic topics is amazing"~ Rehana Shake

"This instructor is doing a fine job explaining the statisticsconcepts"~ Frank Herrera

"Very clear examples, thank you sir!"~ Gitartha Pathak

Course Description:

This course is designed for students who are struggling with Statistics or who arecomplete beginners in statistics.

How is this course structured?

• Section 1 and 2: These 2 sectionscoverthe concepts thatare crucial to understand the basics of hypothesis testing - Normal Distribution, Standard Normal Distribution, Sampling, Sampling Distribution andCentral Limit Theorem. (Before you start hypothesis testing, make sure you are absolutely clear with these concepts)
• Section 3: This section caters to thebasics of hypothesis testing withthree methods- Critical Value Method, Z-Score Method and p-value method.

My approach is hands on:Concepts, examples and solved problems addressing all the concepts covered in the lectures.

Note : Only Hypothesis Testing in Case of Single Population Mean is covered