Statistics: Central Limit Theorem and Hypothesis Testing

Partner: Udemy
Affiliate Name:
Area:
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 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 statistics concepts"  ~ Frank Herrera"Very 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
Category: Teaching & Academics > Math > Statistics
Partner ID:
Price: 99.99
Commission:
Source: Impact
Go to Course