“Statistical hypothesis testing is a procedure that allows researchers to evaluate hypotheses about population parameters based on sample statistics.”
Discuss the following points in light of the above-mentioned statement:
What exactly is the purpose of hypothesis testing in statistical analysis? What does hypothesis testing obtain that could not be obtained otherwise?
Explain the distinction between a Type-I error and a Type-II error. Is it easier to commit one type of error than it is to commit another? Is one type of error more detrimental than another?