Box and Whisker Plot - Create a box plot in Excel for multiple data sets.Pareto Chart - This template helps you perform a pareto analysis to analyze most significant factors.Other Templates related to Control Charts This requires the use of the Gamma function for calculating factorials of half-integer numbers (see this blog post). The hardest part of creating the s-chart is calculating the c 4 factor. This is why the X-bar chart is limited to sample sizes of 2 to 25. After trying to read through reference, I decided not to try the numerical integration of the range distribution within Excel, so I just hard-coded the values for the factors into an array. W is commonly referred to as the relative range or studentized range and is used to estimate the process standard deviation when only the sample mean and range are known. These factors are the mean and standard deviation of the statistic W = R/ s, respectively and can be found tabulated in most text books or references about control charts. I know I'm eventually going to get asked about how the values for d 2 and d 3 are calculated for the X-bar and R charts. Reference is a great online resource that explains the formulas and steps for creating these control charts. I created these control charts based on the terminology used in reference below. The Control Chart Template above works for the most common types of control charts: the X-Bar chart (plotting the mean of a sample over time), the R chart (plotting the range or Max-Min of a sample over time), and the s chart (plotting the sample standard deviation over time). In the X-bar & S chart, n must be greater than 4. Note: In the X-bar & R control chart, the number of observations per sample (n) can be between 2 and 25. Evaluate process capability (Cp, CPU, CPL, Cpk, and % Yield) for given specification limits. Control limits are calculated based on the data you enter. This template contains a pre-made control chart for sample Mean and Range, or sample Mean and Standard Deviation (2 worksheets in one).
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