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  Root Cause 6 Questions Hypothesis   testing   is   used   to   determine   which   process   factors   are   the   cause   of   the   variation   in   our   output   that   is   causing   defects.   TRue Statistical   data   analysis   enables   us   to   validate   the   root   causes   with   95%   confidence   in  the   results. True In hypothesis testing we are trying to determine if we can reject the alternative hypothesis (groups are different). False “r-squared” is the square of the correlation coefficient and is the measure of how much variation in the process output is accounted for by the model. True An r = +0.86 would indicate which of the following (choose one). | Strong positive relationship When conducting a hypothesis test, we usually treat "P is less than 0.05" as indicative that the difference between groups is insignificant. False Regression analysis takes correlation one step further by developing a mathematical model that represents the relationship betw

One   of   the   deliverables   of   the   Measure   Phase   is   to   calculate   baseline   performance. True   Process efficiency is defined as the extent to which customer requirements are met. False An input measure should be linked as closely as possible to the customer requirement. False The focus of the Measure Phase is to (choose one).   All of the above The following equation, Y = function(X), is meant to symbolize the following relationship (choose one). Ys (outputs) are driven or influenced by Xs (inputs and process) A guideline for developing a process measure is (choose one). All of the above, Input, process, and output measures are all examples of indicators. True An X is a predictor, is independent, and a cause that should be investigated. | True  An example of continuous data is (choose one)  Both the first and second answers above A data collection plan contains the following elements (choose one). All of the above  Check sheets are a type of data collection form that