COURSE SUBSCRIPTION PERIOD : 6 MONTHS
VIDEO : 5 Hours
This course is designed for students who are struggling with Statistics or who are complete beginners in statistics.
How is this course structured?
- In the first 2 sections, I will cover the concepts that are crucial to understand the basics of hypothesis testing - Normal Distribution, Standard Normal Distribution, Sampling, Sampling Distribution and Central Limit Theorem. (Before you start hypothesis testing, make sure you are absolutely clear with these concepts)
- After covering these concepts in detail, I will start with the basics of hypothesis testing in Section 3. I will cover three methods to do hypothesis testing - 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
Lectures on t-distribution and practice questions are yet to be added
Shubham Kalra has a Masters in Economics from Delhi School of Economics and has worked as a Business Analyst in one of the largest banking and financial services organizations in the world.
He has done research projects in Education and Infrastructure Sector in India involving field work and analysis of data. He holds a diploma in Financial Planning and has good understanding of Risk Management concepts and Financial Instruments as well.
He loves teaching and has been teaching since his college days in one way or another. It was in 2015, when he started teaching full time and is now teaching Economics and Statistics to many students online.His areas of specialization include Economics, Statistics, Finance and Game theory.