Articles on Six Sigma - Analyze Phase
The vital inputs that were gathered in the earlier stages of define and measure need to be confirmed with statistical analysis. Lets discuss the analyze phase of a six sigma project in detail.
Six Sigma methodology focuses on verifiable facts and statistics can confirm a statement and make an opinion of a fact. Lets discuss the different types of analysis that are carried out during the analyze phase of the project..
Hypothesis testing is a statistical method used to check the effect of inputs on the outputs. Lets understand the concept of Hypothesis Testing in detail.
The confidence interval is a central concept of hypothesis testing. Its is very important for the six sigma project team to understand the concept of confidence interval.
While conducting a hypothesis test it is very important to understand - what type of hypothesis test should be conducted. The article explains the decision criteria on which this decision needs to be based.
Hypothesis testing is all about statistical analysis. There is always a possibility that a mistake could be made and that the conclusion reached after hypothesis testing may be invalid. Lets understand the types of errors during Hypothesis Testing.
The P-Value is an important part of the hypothesis test. It is the probability that the output (Y) will not change as a result of the variation in the input (X).
Correlation Analysis is a vital tool in any Six Sigma Project. Lets us understand in detail about what is correlation analysis and how is it performed.
The article discusses the various types of relationships that can exists between the inputs (Xs) and the outputs (Ys).
Once we find out the correlation between the inputs being measured as well as the desired outputs, it is time to come up with an equation which shows the precise relationship.
The 5 why method or the Root Cause analysis method plays an important role in determining that the Input (Xs) are recorded at actionable level. Lets discuss the same in detail.
Whether the Xs are actionable plays an important role in whether the analysis will meet the deliverables set for the analyze phase. The article discusses the concept of actionable Xs in detail.
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