A statistical hypothesis is a statement about a parameter of a probability distribution. Through the sample elements a test is made that will indicate the acceptance or rejection of the formulated hypothesis.
Statistical hypothesis is an assumption of a population parameter. For example:
1. The average income of the population of Forquilhinha is $ 350.00. So H: μ = 350.00.
2. The proportion of students failing is 35%, ie: H:P = 0,35
The counterpart to an alternative hypothesis (H1) is the null hypothesis (H0). The first is always expressed by an inequality and the second always by an equality.The hypothesis test is used for cases such as comparison of means, observation pairs, variances, and parameters, among others. Next: Nonparametric Statistics