Grand Canyon University Steps of Hypothesis Testing Response
Description
*** Make a Comment ***
The first step in hypothesis testing is to pick the right statistical test (Corty, 2016). Since there are thousands to choose from and each of them provides a specific purpose, it is important to choose the one that is right for the type of study being done. The second step is to check assumptions and that it is okay to do the test (Corty, 2016). An assumption is determining if the test is meaningful and that itll be done ethically (Corty, 2016). We wouldnt want to run a test if we knew the machine was faulty, this would mean the assumption wasnt met and further testing is to cease. There are two types of assumptions, those that must be met to proceed called nonrobust assumptions and those that can be violated to some degree and itll be okay to proceed with the test called robust assumptions (Corty, 2016). The third step is to list the hypotheses. There can be either non-directional or directional tests. A non-directional test, also called a two-tailed test, doesnt indicate whether the explanatory variable has a positive or negative impact whereas knowing the direction of the data, is called a one-tailed test (Corty, 2016).