Idea Summary: PPM (Parts Per Million) PPM, or Parts per million, is a common metric used in Lean Six Sigma to measure and analyze […]

Idea Summary: Bias and Precision Measurement error is an important factor to consider in any type of research study, as it can significantly affect […]

Idea Summary: Priortisation Matrix A priortisation matrix is a powerful tool that can be used to quickly and effectively assign priority levels to tasks, […]

Idea Summary: Probability Distribution A probability plot is a powerful tool for data analysis that provides visual representation of the underlying probability distribution of […]

/*! elementor - v3.9.0 - 06-12-2022 */ .elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#818a91;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#818a91;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block} Idea Summary: Process Capability Process capability is the ability […]

What is Sigma in Six Sigma? 6σ Sigma is a statistical term that measures the standard deviation of a process. (σ) In Lean Six Sigma, […]

P-values are a statistical measure that tells you whether the results of your experiment are significant enough to reject the null hypothesis. The null hypothesis […]

Statistical Process Control Charts Control Charts are a key tool used in the Six Sigma methodology. They help you measure and track process performance, […]

The Mood’s Median test is a hypothesis test used to determine if there is a significant difference between two or more independent groups. This test […]

A lean six sigma initiative is only as good as the data that supports it. A minimum sample size of 30 to 50 is required […]

Multiple regression is a statistical technique that is used to predict the dependent variable based on one or more independent variables. In other words, it […]

Have you ever found yourself struggling to choose between multiple options, whether it be what product to buy, which service to use, or even what […]