In Statistics, Type I is a first kind of error in which the erroneous rejection of a null hypothesis which is true. We represent Type I error by a which is also known as level of significance. Before conducting any research, many people or mostly researchers have decided to attempt a hypothesis test. Further they check p-value if its value is greater than a value, then the null hypothesis is reject and fails to accept the hypothesis.
If the hypothesis test result of a p value is less than a value, ...