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