Problem with statistical method type
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What statistical method is used to accept or reject the null hypothesis in determining if outsourcing is always beneficial? Please explain your reasons for choosing the selected method in detail and cite references (if any).
Also, explain the variables for which data will be collected. For each variable, identify the level of measurement that would be used.
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Solution Summary
Solution provides an explanation of statistical methods used to accept or reject null hypotheses.
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As an applied statistician and a faculty member in a graduate school of business let's see if we can shed a little light on your problem. First of all, however, I want you to do something for me... now and in the future. What I want you to do is put all your fears about statistics aside as there is nothing haunting or foreboding about statistical processes in any profession. Statistical processes are nothing more than extensions of the addition, subtraction, multiplication and division processes we all learned in high school. Statistics is simply a different expression of these for processes.
Now... a couple other important issues that needs to be addressed before getting into the "meat" of your assignment. Be patient! This wont hurt but it will help you to know what to do in the future as well as garner an appreciation of what research is all about. Did you ever ask yourself why prudent investigators set hypotheses and why the null hypothesis in necessary? Well...it goes like this:
Statistical processes are absolutely useless until something has been identified, a question asked, and a hypothesis stated. Here is an example. We all know what 1 + 1 equals... Yep, it equals 2. BUT what does it mean? The equation means nothing until you identify, with accuracy, the components of the equation or, in research, identify the investigative variables. That is, 1 what + 1 what equals 2 what? Well, 1 apple + 1 apple = 2 apples. But, 1 apple + 1 orange = what? Nothing but a fruit salad that has no common element. Therefore, identification of what you want to measure or gage is crucial to good research.
Ok, follow closely here:
The null hypothesis is standard for good research accountability because this hypothesis states that no differences, relationships or affects will exist in an examination of certain investigative variables. Should there be an acceptance of the null hypothesis then the research investigator's study is over and no explanation needs or can be given as to ...
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