Hypothesis Testing
Get familiar with the significant concept of Hypothesis Testing through this free online course. Learn types of errors, Z-test, T-test, sample, and population. Enroll and learn Hypothesis Testing in detail with the hands-on demo.
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About this Course
This free Hypothesis Testing course will help you comprehend the major concepts that help to carry it out successfully. You will learn about Type 1 & 2 errors and understand the Z-test in detail. You will learn about the Student’s T-test where you will go through types of T-tests, and their uses, and solve real-world examples to understand them better. You will further understand random sample and population size and their role in Hypothesis Testing. Lastly, you will learn independent T-test two sample and T-test outcome and paired T-test for student’s score. You will solve real-world examples along with a hands-on demo through which you will also gain the required practical knowledge. Complete the modules and a quiz to earn a free certificate of Hypothesis Testing course completion certificate.
Check out Great Learning’s Best Data Science Courses to gain in-depth knowledge in this field and earn the certificate that helps you grab better job opportunities.
Course Outline
This module discusses the important concept of hypothesis testing: type 1 and type 2 errors. You will go through them in detail and understand the various assumptions concerned along with solving a Z test result-related problem.
In this module, you will learn about the T-test from scratch. You will understand its uses, types, and solve an example to gain practical knowledge.
This module introduces you to the important terms in hypothesis testing called sample and population. You will understand how random sample and population size plays role in hypothesis testing.
This module in detail explains to you about independent T-test two sample and T-test outcome. You will go through a hands-on demo to understand how code works in each case.
In this module, you will go through an example where you will apply paired T-test for student scores and understand the implementation of the test and carry out the hypothesis testing.
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