The basics of hypothesis testing are explained in detail in this article.
What is hypothesis testing ?
Data is not interesting at all when we do interpretation and find out some meaning out of it then it becomes interesting. Hypothesis is the method of making data interesting.It provides confidence and liklihood to an answer.
Parameters of hypothesis testing?
H(0) — — ->Null hypothesis and H(1) — — ->Alternate hypothesis play a major role in hypothesis testing.
H(0):- Represent default assumption or assumption that has been asked in question.
H(1):-When default assumption would be rejected then Alternate hypothesis comes into picture.
Hypothesis test is one of the most important domain in statistics, and in industry, ‘AB Test’ utilizes this idea as well. However, most of
The shift towards microservices and modular applications makes testing more important and more challenging at the same time. Learn more here.
API endpoint when you send the get request to that URL it returns the JSON response. In this article, I am going to use postman assertions for all the examples since it is the most popular tool. But this article is not intended only for the postman tool.
Tackle any more than two classes A/B testing using these intuitive two steps
What are some statistical tests that we are most familiar with?