Hypothesis Testing Is The Process Of Which An Analyst May Test A Statistical Hypothesis?
Monica Gschwind
PSY 315
June 8, 2015
Judith Geske
Hypothesis testing is the process in which an analyst may test a statistical hypothesis. The methodology used by the analyst is based on the nature of the data used and the main goals of the analysis. The main goal in this is to either reject or accept the null hypothesis. Through testing, results will show that someone who may prove one answer, may not mean that answer is actually correct, for there may be many factors that may change the outcome. For this reason is why researchers the five or one percent probability rates. In this null hypothesis it will prove that there is no difference between these variables. With the single variables it is also proven that there is no difference from zero. Statistical evidence will later prove that if it is indeed proven to be fact or nullified based on the evidence gathered. A null hypothesis is a process in which research may try to disprove, reject or nullify the proposed hypothesis. In a study, the researcher may use the hypothesis based on a specific testable prediction; this is based on a dependent and independent variable in a study. In result, the hypothesis researched will match what the analyst is trying to prove to be true in the problem. The first step one must take when testing a hypothesis is restating the question experience analyzed into an alternative hypothesis and null hypothesis. The following scenario is as follows: “Do…

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