I dont feel there is a way to write null hypothesis, it refers to the relevancy whether it is or is not. A null hypothesis (H0) is a stated assumption (that there is no difference) in parameters (mean, variance, DPMO) for two or more populations. According to the null hypothesis, any observed difference in samples is due to chance or sampling error. * http://www.leansigmamart.com Starting with understanding the DMAIC method, with out this you are never going to have successful results. I recently discovered this site dedicated to answering all the Lean Six Sigma / process improvement needs and questions. They offer a FREE very complete software system that will walk you through the entire DMAIC methodology. It has a training video at every possible step including example data, video demonstration, voice guided instructions, templates for every step, and a phone contact to even help you. Oh and did i say FREE? In that site they also have a forum for Q. & A. beside a live chat room. Do you use minitab? How about a complete section on how to use it with videos and links to their home page. They have so much more I cant list, just go there and see. I spend countless hours looking for answers as you did here. I found a source with accurate information and gives you what you are really looking for, plus a way to drive your projects with a mentor.
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The null hypothesis is an hypothesis about some population parameter. The goal of hypothesis testing is to check the viability of the null hypothesis in the light of experimental data. Based on the data, the null hypothesis either will or will not be rejected as a viable possibility.
Be able to reject the null hypothesis and accept the research hypothesis
The null hypothesis is the statement that there is no relationship between two observations.
No, you are never certain.
The significance level of the observation - under the null hypothesis. The significance level of the observation - under the null hypothesis. The significance level of the observation - under the null hypothesis. The significance level of the observation - under the null hypothesis.