## Maximizing Results with the Help of Orthogonal Regression

Published:Have you ever wondered whether the outgoing inspection values from your vendor are equivalent to the values of your incoming inspection? Maybe it’s time to use orthogonal regression to see if one of you can stop inspecting. If your vendor is doing final outgoing inspection, do you need to also do incoming inspection on the […]

Read more## Using Queuing Theory to Improve Patient Experience and Reduce ER Wait Times

Updated:Have you or a family member ever had to visit a hospital Emergency Room? What was your experience? How was your wait time? Letâ€™s see how one hospital handled long wait times and extensive patient dissatisfaction using queuing theory. The Emergency Room of a public hospital was experiencing long wait times to treat patients. Wait […]

Read more## Tukey’s (1-way ANOVA)

Updated:ANOVA will tell you whether there is a statistically significant difference in the population means of three or more groups of data. But which means are different? Tukeyâ€™s will tell you that. Analysis of Variance (ANOVA) is used to determine whether the population means of several sample data sets are statistically different or not. If […]

Read more## Statistic

Updated:Statistics is a branch of math that involves the collection, description, analysis, and inference of conclusions from quantitative data. But what is a statistic? Letâ€™s find out. The word statistic is a word with numerous possible definitions. In its simplest form, a statistic can be defined as a descriptor of a set of data. The […]

Read more## How Determining Total Cost of Quality Can Improve Your Business Processes

Updated:You are probably familiar with the notion that there are costs of poor quality, often shown as COPQ. These represent both internal and external failures to maintain good quality. There are also costs associated with maintaining good quality sometimes represented as COGQ. These costs represent appraisal and prevention costs. Total Cost of Quality (TCOQ) is […]

Read more## What is the Bartlett Test and How is it Used in Statistical Analysis

Updated:The Bartlett Test is named after the English statistician, Maurice Stevenson Bartlett. The test is also known as the Bartlettâ€™s test for homogeneity of variances. It is most used in the context of doing a 1-way Analysis of Variance (ANOVA). ANOVA is used to determine whether there is any statistical difference between the means of […]

Read more## Blended Learning

Updated:What are you blending when you speak about blended learning? You are combining face to face classroom learning with an instructor and online or computer driven learning. Letâ€™s learn a little more about this concept of learning. In the 1960â€™s, technology-based training emerged as an alternative to instructor-led training. One of the major advantages of […]

Read more## What are Transformations? A Complete Guide

Updated:Many statistical tools have an assumption of normality. Is there an option if my data is not normal? Transforming your data might help. Some statistical methods, such as hypothesis testing, have an underlying assumption of normality of your data before they can be used. Although control charts are generally robust to normality issues, sometimes the […]

Read more## Champion

Updated:When an organization attempts to implement a Six Sigma deployment, somebody needs to be selected to lead and manage it. Champions are upper-level managers who lead the execution of the Six Sigma deployment plans for the organization. That makes it one of the most critical roles in the eventual success of your Lean Six Sigma […]

Read more## Levels

Updated:The term levels is used in the context of Design of Experiments (DOE) and refers to the different settings you can use for running your experiments. Letâ€™s look at this in a little more detail. The purpose of doing a Design of Experiments (DOE) is to identify what variables or factors have a causal effect […]

Read more## Sampling

Updated:It is often not possible or practical to collect all the data from your process. It can be too costly or take too much time. It may not be possible to access all the data. If this situation exists in your process, then you will need to sample your data. Overview: What is sampling? Â There […]

Read more## The Ultimate Cheat Sheet for Mastering Binomial Distribution

Updated:A binomial distribution can be described as the probability of a binary outcome in an activity that is repeated multiple times. It is a distribution of discrete data rather than continuous data. For example, a coin toss has only two possible discrete outcomes: heads or tails. Inspecting and testing a manufactured part can have two […]

Read more## What You Need to Know About ISO 9000 Series of Standards

Updated:ISO 9000 is a series of standards, developed and published by the International Organization for Standardization (ISO). It defines, establishes, and maintains an effective quality management system for manufacturing and service industries. Overview: What is the ISO 9000 series?Â ISO 9000 is a series of individual standards. The core standards contained within the series are: […]

Read more## Quantitative Data

Updated:There are two broad categories of data in statistics: quantitative data and categorical data. Quantitative data is something you measure or count while categorical data presents data in categories or groups rather than the actual values themselves.Â Overview: What is quantitative data?Â Quantitative data describe values and numbers which are measured or counted and can […]

Read more## The Dos and Don’ts of Conducting Root Cause Analysis

Updated:In the context of Six Sigma and Continuous Improvement, a root cause is defined as an issue or factor that causes a nonconformance or defect which, if eliminated, will improve the process. The root cause is the base issue which sets a cause-and-effect reaction in motion eventually resulting in a problem. Overview: What is root […]

Read more## Quality Management

Updated:The strategy of continuously improving your organizational processes by setting your goals, identifying deviations from those goals, and then taking appropriate actions to adjust your processes to close the gaps.

Read more## Non-Parametric Test

Updated:Tests that do not require a specific distribution to be valid.

Read more## Interquartile Range

Updated:The difference between the first and third quartiles.

Read more## Frequency Plot

Updated:A frequency plot is a graphical representation of the distribution of continuous data based on how often a particular value occurs.

Read more## Quantitative Variable

Published:Quantitative data represents values and numbers which can be measured or counted and used in mathematical operations such as addition, subtraction, multiplication, or division.

Read more## The 2.67 Million Dollar Mystery (And How 5 LSS Tactics Solved It)

Published:This major beverage manufacturer was spending millions of dollars per year to replace recyclable plastic shells to transport 2-liter bottles from the plant to their customers. Where did all the plastic shells go? Letâ€™s find out. The process of retrieving delivered plastic shells from the customer should have been easy, but apparently it wasnâ€™t. The […]

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