Introduction
A hypothesis is a tentative principle, supposition; or statement which is taken for granted as a possible explanation to some phenomenon or event. A useful hypothesis is a testable statement although it is something that has not been proved. A Null hypothesis is usually a guess to account for a fact or an occurrence. It is hypothesis that is tested and an Alternative hypothesis is the opposite of the null hypothesis.
The purpose of this paper is to answer the following four questions:-
1. What will your null and alternative hypotheses be? A diet of Genetically Modify foods causes no significant difference in kidney size than a diet of non-genetically modified foods. A diet of Genetically Modify foods causes significant difference in kidney size than a diet of non-genetically modified foods.
2. What significance level will you use to test this hypothesis? Why this level? 01% level because of significance of type 1 error.
3. What statistic will you use to test the hypothesis? Why? .Student t because of difference.
4. Would the Chi Square hypothesis test apply to this study? Why? Yes because it has no predetermined distribution.
Null Hypothesis?
I have chosen as my null hypothesis (H0) that a diet of Genetically Modify foods causes no significant difference in kidney size than a diet of non-genetically modified foods thus my alternative hypothesis (H1) is that a diet of Genetically Modify foods causes significant difference in kidney size than a diet of non-genetically modified foods. I have chosen the .01 level because I want to be reasonably certain that I lower my tolerance for errors for type I errors. I will use Student t statistic because I am testing the difference in kidne ...