Qnt 351 Week 4, Dq 4

Week 4 DQ 4

Please explain terms related to hypothesis testing; please explain null and alternate hypotheses, explain the difference between two different test statistics, then define the equations used in both. Why do null and alternative hypotheses have to be mutually exclusive?

Null and alternate hypotheses:

The null hypothesis is a statement about the value of a population parameter developed for the purpose of testing numerical evidence. (Lind, et al., 2011)

Null hypothesis basically means there is no change between the mean and a number. It is developed to test whether or not to reject or fail to reject the hypothesis. It is not rejected unless sample data provides convincing evidence that it should be rejected. If this is rejected, it...