Question

statical hypothesis? explain the concept of type 1 error and type 2 error

Answer 1

Type I and type II errors. ... Instatistical hypothesis testing, a type I error is the incorrect rejection of a truenull hypothesis (also known as a "false positive" finding), while a type II erroris incorrectly retaining a false null hypothesis (also known as a "false negative

Answer 2

A Type II error can only occur if the null hypothesis is false. If the null hypothesis is false, then the probability of a Type II error is called β (beta). The probability of correctly rejecting a false null hypothesis equals 1- β and is called power. Power is covered in detail in another section.