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PARETO CHART MINITAB HOW TO

This principle became foundation for Pareto Chart. "In any population, there are always significant a few and insignificant too many". This was translated into Pareto principle by Quality Guru, Joesh M Juran, as Vilfredo Pareto was an Italian economist who noted that 20% people of Italy possessed 80% wealth (mainly land) of the country. Catalyst 1 and Catalyst-4 seems to have high variation without any abnormal value.

Catalyst 5 seems to have most of the values on higher side, while two abnormal values on lower side indicate need to look for special causes.

Catalyst-2 and Catalyst-3 seems to have minimum Yield.

Click OK and your Individual Value Plot is ready.

Choose "Catalyst" in categorical variables.

Please open given excel file Main-Effects-Data and paste in the Minitab. Let us learn making Individual Value Plot using Minitab.

PARETO CHART MINITAB HOW TO

How to make Individual Value Plot in Minitab? This Graph does comparison considering all data together without specifying any measure of location or spread. Individual Value Plot also relates a continuous parameter with a discrete parameter. Catalyst-5 seems to have highest yield.Click OK to see your Main Effects Plot.Let us learn making Main Effect Plot using Minitab. The Main Effect compares only location (Mean) of data (and NOT variation). Main Effects Plot also relates a continuous parameter with a discrete parameter. Variation (IQR) in Yield with Catalyst-2 seems to be lowest while high with Catalyst-1, Catalyst-4 and Catalyst-5.Catalyst-4 and Catalyst-5 seems to have highest yield.Catalyst-2 and Catalyst-3 seems to have lowest yield.We can draw following inferences from the graph. The graph compares Yield (continuous parameter) with Catalyst Type (Discrete parameter). Click on "Catalyst1 to Catalyst5" and select it.Please open given excel file Box-Plot-for-Comparing and paste in the Minitab. Let us learn making multiple box plots using Minitab. How to make Multiple Box Plots in Minitab? In this we compare location (Median) as well as spread (IQR) for drawing conclusions. For example, if we desire to establish relationship between Yield from various Catalyst types, this is good method. It displays relationship between a continuous variable and a discrete attribute.

The box plot is a graph which is used for both one parameters and two parameter analysis. How BOX PLOTS help in relating two parameters? On other hand, at higher values relationship seems to be weaker. Follow the commandįrom the graph we can draw inference that it seems there is strong relationship at lower values of height and weight. Please open given excel file Scatter-Plot-Data and paste in the Minitab. Let us learn how to make scatter plot using Minitab.

Strength of relationship is based on perception - How strong is the relationship depends on closeness of data points as well as slope of trend.

For any inferences, basic knowledge of process is must.

Relationship is non-directional - This indicates that we cannot clearly determine if height depends on weight or weight depends on height.

Further analysis is needed for conclusions.

It seems - This word indicates all graphical tests are inferential.

Please note some important points in this reference "It seems if weight is high, height of individual is expected to be high". The adjacent graph gives following inference: The pattern of this graph indicates the relationship. For this, we will need height (H) and weight (W) of each individual and plot these as points (H, W) on X-Y coordinates. For example, if we desire to establish relationship between Weight (Y) and height (X) of all athletes, we can use this graph. The scatter plot is a graph that displays relationship between two continuous variables. Minitab enables several graphs, which help in drawing inferences about relationship between two parameters. How to analyze relationship between 2 parameters

In last article we learnt analysis of single parameter. In this edition, we will learn how to use graphical analysis for analyzing relationship among multiple parameters. This is sequel of article named Graphical Analysis in Minitab -Part 1, (which you can read by clicking on the link).