Description
This course is the key to build an excellent understanding of Inferential Statistics. It has students (from over 100 countries) and here is what some of them have to say: Well explained sir, every concept is clear as water and the way you explain is very easy to understand the concept. Worth buying this course ~ K RoshnishreeThe explanations are quite intuitive and the best part is that the course includes practice problems which helps in building the concepts ~ Swati SahuThe detail level coverage of the basic topics is amazing ~ Rehana ShakeThis instructor is doing a fine job explaining the statistics concepts ~ Frank HerreraVery clear examples, thank you sir! ~ Gitartha PathakCourse Description: This course is designed for students who are struggling with Statistics or who are complete beginners in statistics. How is this course structured? Section 1 and 2: These 2 sections 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)Section 3: This section caters to the basics of hypothesis testing with three 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
