In most experiments, you’ll have a number of factors to deal with. These are elements that affect the outcomes of your experiment. They fall into a few basic categories:
A tailed hypothesis tests is an assumption about a population parameter. One-tailed and Two-tailed tests are two types of tests.
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.