World Statistics Day will be observed on October 20, 2025, marking the fourth occasion of this global event instituted every five years by the United Nations Statistical Commission. This year, it coincides with the UN’s 80th anniversary, adding further significance to its celebration. 2025 Theme”Driving change with quality statistics and data for everyone” This theme emphasizes the
The Levey–Jennings (LJ) chart is one of the most widely used tools for routine quality control. Introduced in 1950 by Stanley Levey and E. R. Jennings for clinical laboratories. This article explains what an LJ chart is, how it differs from other control charts, where it is most effective, and how to interpret it with
Central Limit Theorem Interactive Demo Central Limit Theorem Interactive Demo Controls Select parameters for the simulation Distribution Type Uniform Normal Bimodal Exponential Gamma Log-Normal Sample Size 1 3 5 30 100 Number of Runs 5 100 1000 Start Reset Progress: 0 / 100 runs Distribution Plot: Working Area Current sample and calculation Current Distribution: uniform
In statistics, the shape of data distribution significantly impacts how data is interpreted and analyzed. Two important distribution shapes are left-skewed (negatively skewed) and right-skewed (positively skewed). Understanding their characteristics, implications, and how they affect data analysis is essential for accurate statistical conclusions.What is Skewness?Skewness measures the asymmetry of a data distribution relative to a
In the world of Lean Six Sigma and quality improvement, Minitab is an essential statistical software tool that helps professionals analyze data, identify trends, and make data-driven decisions. If you’re a Six Sigma Green Belt or Black Belt looking to enhance your skills or want specialized training in advanced statistical techniques, Quality Gurus offers comprehensive
What is Kurtosis?Kurtosis is a statistical measure that describes the shape of a distribution’s tails in relation to its overall shape. Specifically, it quantifies whether the data are heavy-tailed or light-tailed compared to a normal distribution. In simpler terms, kurtosis tells us about the propensity of a distribution to produce outliers:High kurtosis: Data have heavy tails
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