Tag Archives: plot

Scatter Diagram Template

A scatter diagram is a graph that helps you visualize the relationship between two variables. It is used to check if changes in one variable are associated with changes in the other variable. For example, a scatter diagram can be plotted to check if there is a relationship between the number of months a person has been on the job and the time it takes him or her to complete his or her duties.

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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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Normality Testing in Minitab

Normality Testing

The Normal Distribution is the commonest and the most useful continuous probability distribution. Many statistical tests require that the distribution is normal or nearly normal. Several tools are available to assess the normality of data including: using a histogram to visually explore the data, producing a normal probability plot, and carrying out an Anderson-Darling normality test. All these tools are easy to use in Minitab statistical software.   Read more »  


 

Scatter Diagram

Scatter Plot

Many situations require the investigating whether a relationship exists between two or more variables. A line manager, for example, may want to check the relationship between the number of training hours and employee productivity, or if the number of defects is a function of the experience of the person causing it. A call center manager may be interested in studying the relationship between the number of people working on a shift and the average answer time.

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Histograms and Box Plots

Histograms and Box Plots

Histograms and box plots are graphical representations for the frequency of numeric data values. They aim to describe the data and explore the central tendency and variability before using advanced statistical analysis techniques. In this article, we will further discuss the similarities and differences between these two tools.

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