This blog will cover where to use the following tests, their mathematical expressions as well as implementation in Python. Hypothesis testing is a way of deriving insights from the plethora of data available to us.
Imagine a court case where a lawyer needs to prove his client is innocent. This is what we call the null hypothesis, an assumption made right at the beginning. Now we work from there. In the next step, the lawyer will collect data such as his whereabouts at the time of the crime, alibi, and more, and use it as evidence to prove his client’s innocence. Say the defendant is proven to be guilty, then our null hypothesis was rejected. In case he was proven to be innocent, our null hypothesis would be accepted. Another important term is the alternate hypothesis which is essentially the opposite of our null hypothesis. In the example we took, the alternate hypothesis was seen to be true.
Hypothesis test is one of the most important domain in statistics, and in industry, ‘AB Test’ utilizes this idea as well. However, most of
How do scientists demonstrate that a drug or vaccine is effective? Putting it to the test. It's your only choice. And, if you're reasonable, you'd never use medications that haven't been thoroughly tested. So, why don't you test software as thoroughly as you should?
The basics of hypothesis testing are explained in detail in this article.
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.