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Get a thorough understanding of the most important concepts in Statistics – Central Limit Theorem and Hypothesis Testing
An excellent training about Math
Statistics: Central Limit Theorem and Hypothesis Testing
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:”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 Roshnishree”The explanations are quite intuitive and the best part is that the course includes practice problems which helps in building the concepts” ~ Swati Sahu”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 PathakCourse 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
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