Tag Archives: continuous

Graphical Analysis


Graphical Analysis

Graphing the data can be utilized for both historical data already available and when analyzing the data resulting from live data collection activities. Of course, you need to pick the right graphical tool as there are a lot of different ways to plot your data. A number of commonly used graphical tools will be covered here. However, note that if one graph fails to reveal anything useful, try another one.

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Probability Distributions in Minitab

Probability Distributions

There are different shapes, models and classifications of probability distributions including the ones discussed in the probability distributions article. It is always a good practice to know the distribution of your data before proceeding with your analysis. Once you find the appropriate model, you can then perform your statistical analysis in the right manner. Minitab can be used to find the appropriate probability distribution of your data. Read more »»

Normal Distribution

Normality Test

Continuous distributions describe variables that take values from a continuous range and can be measured with any degree of accuracy. The commonest and the most useful continuous distribution is the normal distribution. The Normal Distribution is a symmetrical probability distribution where most results are located in the middle and few are spread on both sides. It has the shape of a bell and can entirely be described by its mean and standard deviation. Read more »»

Probability Distributions

Probability Distributions

Most improvement projects and scientific research studies are conducted with sample data rather than with data from an entire population. A Probability Distribution is a way to shape the sample data to make predictions and draw conclusions about an entire population. It refers to the frequency at which some events or experiments occur. It helps finding all the possible values a random variable can take between the minimum and maximum statistically possible values. Read more »»

PDCA Cycle

PDCA

The PDCA Cycle is a framework for problem solving, continuous improvement and change. It is widely recognized as the basis of continually improving the quality of processes, products, and services. It is an easy to remember four logical sequence steps: Plan, Do, Check and Act. It provides a simple and structured approach for solving quality-related problems. Multiple iterations of the PDCA cycle may be necessary to solve the problem permanently and reach the ultimate goal state. Read more »»

Histograms and Boxplots

Histograms:

Histograms and Boxplots

A histogram is a graphical representation of a frequency distribution for numeric data. It is a bar chart that is often used as the first step to determine the probability distribution of a data set or a sample. It allows to visually and quickly assess the shape of the distribution, the central tendency, the amount of variation in the data, and the presence of gaps, outliers or unusual data points. Read more »»

Kaizen Event Charter Template

Kaizen Events are focused improvement activities designed to improve a process or work area. They emphasize on the elimination of unnecessary non-value added activities. This will result in improved quality, efficiency, delivery, cost saving, standardized systems and employee engagement. You can think of a Kaizen event as a continuous improvement activity at the micro level as opposed to some of the other large-scale efforts such as Lean and Six Sigma.

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Kaizen Report Template

A Kaizen Report is a form that documents and summarizes continuous improvement activities. It is used to share improvements and best practices across an organization, division or group. There are many ways to share Kaizen reports including public display boards, dedicated Kaizen bulletin boards, emails and the intranet. In all cases, Kaizen activities should be written clear and simple so that every team member can easily understand them. Additionally, Kaizen reports with photos and drawings tend to capture more attention.

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