Introduction to Statistics: Hypothesis Testing
In this course, you will learn why it is rational to use the parameters recovered under the Classical Linear Regression Model for hypothesis testing in uncertain contexts. You will learn all about Hypothesis Testings: Examine whether a claim should be rejected or not. The instructor will focus on one sample testing, then 2 samples testing using P-value method, critical value method, or confidence interval method. Each section will have an introduction on how to use TI 83/84 commands step by step. Performing hypothesis testing for single, multiple hypotheses and identifying, resolving problems raised by identification of parameters are also important parts of this course.
Before starting this course, it is expected that you have an understanding of some basic statistics, including mean, variance, skewness and kurtosis. It is also recommended that you have completed and understood the previous course in this Specialisation: The Classical Linear Regression Model.
Who this course is for:
- Beginner for Statistics Course
Requirements
- Be able to do basics algebra
Course ratings: 4.4/5
Enroll here: https://www.udemy.com/course/introduction-to-statistics-hypothesis-testing/
