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Tuesday, August 18, 2015

Pencils and Plots: Assessing the Normality of Data

Guest Blogger 
7 July, 2015

By Matthew Barsalou, guest blogger. Many statistical tests assume the data being tested came from a normal distribution. Violating the assumption of normality can result in incorrect conclusions. For example, a Z test may indicate a new process is more efficient than an older process when this is not true. This could result in a capital investment for equipment that actually results in higher... Continue Reading

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