Professional statisticians typically have powerful software at their disposal to perform advanced analyses and create slick graphs. But many professionals in the quality field don't enjoy that luxury. Faced with a limited budget, they must be resourceful with the software they already have. Besides, not everyone needs the capability to perform nonlinear regression with custom loss functions for maximum likelihood! Fortunately, many occasional data analysts already own a versatile software capable of providing most basic quality analyses -- Microsoft Excel.

Skeptical? I don't blame you. The following examples show how to apply Excel for the graphical analysis of quality data. The examples range from somewhat obvious to downright clever. As it turns out, Excel's capabilities are limited only by your creativity.

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