Inferential Statistics : Master Hypothesis Testing
Inferential Statistics : Master Hypothesis Testing
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 7 Hours | Lec: 55 | 776 MB
Genre: eLearning | Language: English
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 7 Hours | Lec: 55 | 776 MB
Genre: eLearning | Language: English
Get a thorough understanding of one of the most important concepts in Statistics - Hypothesis Testing
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
Inferential Statistics : Master Hypothesis Testing
