![]() ![]() Count the number of samples, then start at either end of the curve and count to the middle. The mid-point of a population or sample curve. Calculated by totaling the values for all of the data samples and dividing by the number of samples. The mathematical average of a population. (Not the emotion or human characteristic). For instance, the three-point estimating technique used for PERT does NOT consistently apply to a beta distribution. Similar statistical analysis may be applied to a beta distribution, but it does not bear the same characteristics as a normal distribution such that some of the assumptions used to solve normal distributions do NOT apply. NOTE: I discovered multiple references to the beta distribution while researching this article. The curve’s shape, center, and spread can be used to apply mathematical analysis.įor the CAPM, PMP, and Green-belt Lean Six Sigma certification, the emphasis on shape and the relevant formulas and relationships are limited to the normal distribution or bell curve. A test result population plotted on a histogram (bar chart) can also result in a curve drawn through or over the histogram data set(s). When the data sample demonstrates a linear or curvilinear distribution, we can apply more advanced statistics to acquire both deterministic (cause) and predictive (forecasting) results. ![]() The PMBOK™ 5 th Edition references multiple Quality tools that may be used to analyze data including the cause-and-effect (Ishikawa) diagram, check sheet, control chart, histogram, Pareto chart, flow chart, and scatter diagram. Test samples might be random, scattered but correlated, grouped or clustered, linear or curvilinear, or related through more complex associations. Two common goals for project managers and Six-sigma practitioners are: finding the root cause of an issue by mapping the set of symptoms, or achieving execution conformance so that a desired outcome might be consistently achieved. Confusing, at least, for anyone who does not have a background or an interest in statistics. While looking at several references for CAPM, PMP, and Six Sigma Distributions, I found a prolific volume of confusing information. So I decided to write a blog to which students might refer when they need a boost or a review. The topic generally leads to multiple examples, assistance with labs and sample questions, as well as after hours tutoring. Both PMI and Six-Sigma Certifications rely on an understanding of statistics and in particular very basic terms, formulas and distributions. ![]()
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