A p-value is expressed as a number between 0 and 1. It is used to determine if hypothesis test results are statistically significant or not.
There are two basic types of errors that can occur in hypothesis testing: “Type A or 1 Error” and “Type B or 2 Error.”
Hypothesis Testing helps prevent needless expenditure in pursuit of the wrong solution. We take a scientific approach to check assumptions.
When we test a hypothesis, there is a list of hypothesis testing terminology we can use to describe the results. Let’s take a look.
It’s important to figure out which question you want to answer. Once you know that, you can develop your null and alternative hypotheses.