Hypothesis testing is a statistical process that test the claims and beliefs of researchers with the help of a set of numbers. It is a vast topic that covers different types of tests. This statistical tool is vividly studied and used by college students of all disciplines and by all researchers irrespective of the title of their research.

Through this course an effort has been made to explain each step of the process in detail. Visual learning has higher retention rate, hence with help of tables , graphs and other pictorial tools the aim is to help the learner follow the process smoothly. Different examples and scenarios have been discussed to provide a better understanding of the types of tests.

The importance of null and alternate hypothesis is covered in detail in the initial video. A summarized table is provided to serve as a quick reference to help the learner decide upon the correct set of hypothesis. Further, the step of drawing inference and conclusion is discussed in detail. The classical method and the P value method , both are discussed in this section.

The next part discusses the different types of hypothesis tests that are commonly used by researchers. Various elaborative examples are used in this section to help the learners get a better insight about different types of hypothesis tests.

By the end of this course, I am sure you would master the topic of Hypothesis testing.

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