• You have reached the Hypothesis Testing Section of an evolving dictionary in which we provide not only the meaning of an Excellence term but also discuss the application of the term. You can see the entire Dictionary here. This dictionary is growing with addition of two new terms every week. To take part in making of the dictionary, have a look at the latest question on home page here

• Discussion - Can Null Hypothesis statement for one situation be the same as Alternative hypothesis for another situation?
• Discussion - If we want to ensure that a statistical test picks up a significant effect, what will we want to increase - Confidence Level or Power of the test?
• Discussion - Correlation does not prove the cause-effect relationship between two variables. Why do we still use it in root cause analysis?
• Discussion - Correlation does not prove causation. Assuming continuous data for both, is it safe to say that proven cause effect relationship certainly results in strong correlation between the cause and effect variables?
• Discussion - Can Type 1 Error of one situation be considered as Type 2 Error in a different situation?
• Test of Equivalence - Discussion - Why is a test of equivalence (also called noninferiority testing) considered the opposite of Hypothesis testing? Give examples where noninferiority testing is a better approach as compared to usual hypothesis testing.
• When is Hypothesis testing used? Discussion - Hypothesis testing is one of the powerful methods used in Six Sigma methodology. In the pursuit of excellence, how important is hypothesis testing? In which phases of an improvement project, is it likely to be used?
• Discussion - In which phase of DMAIC, can hypothesis testing NOT be used?
• Discussion - What are the key reasons for lack of use of this powerful family of statistical tests?
• Several Discussions - Multiple topics related to Hypothesis Testing
• - Discussion - Let us consider a situation where drawing/testing large number of samples is disadvantageous and the Lean Six Sigma analyst has decided to use limited samples. What are the precautions that the analyst should take so as to limit biased and unbiased sampling errors ? Explain with suitable examples.
• Discussion - Can Null Hypothesis statement for one situation be the same as Alternative hypothesis for another situation?
• Discussion -  What are the key differences in OFAT testing and DOE ? What are the advantages of one over the other?
• Discussion - If we want to ensure that a statistical test picks up a significant effect, what will we want to increase - confidence or power of test?
• Discussion - What is “P-value” in hypothesis testing? Mention the most common misunderstandings with respect to P values?
• Discussion - What is the meaning of statistically significant difference? What are some of the most important ways to utilise this concept in problem solving and decision making?
• Discussion - Turing test checks if a machine can imitate intelligent and unintelligent behaviors of humans. While it makes sense to test if artificial intelligence is delivering business expectations, what could be the value in determining if machines can behave like humans or not?
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