Name: Radhika Manghat Menon
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Plotting the scattered
Applying mathematics to coaching - Radhika Manghat Menon
“Out of chaos, comes Order!” – Friedrich Nietzsche.
You love him or hate him, but you just cannot ignore Nietzhe. His second most famous quote perhaps is the one above, top of the list being, “God is dead!”
In youth for most people, the quote was something like a heavy philosophical statement, which no denying, it is! But, now getting down to ‘demystifying’ this whole statement brings a whole lot of meaning and perspective to add value to one’s coaching journey.
To come to the topic of this article, scatter diagram or scatter plot is a mathematical tool used mostly in Quality systems. Origin of this tool goes back to Sir Francis Galton ( 1822 -1911) who was working with correlation among many other land mark discoveries and inventions.
A scatter plot, also called a scatter diagram or a scattergram, is a basic graphic tool that illustrates the relationship between two variables. The dots on the scatter plot represent data points. See figure 1.1
Scatter plots are used with variable data to study possible relationships between two different variables. Even though a scatter plot depicts a relationship between variables, it does not indicate a cause and effect relationship. Use Scatter plots to determine what happens to one variable when another variable changes value. It is a tool used to visually determine whether a potential relationship exists between an input and an outcome.
In a coaching engagement, a client comes to the table with a collection of variable that are conceived in his or her mind or real and tangible that can either cause progress or create bottlenecks in their journey of goal actualization. Various coaching models work on this paradigm using relevant tools and
References: 1) Wikipedia: Sir. Francis Galton 2) Isixsigma.com, Scatter plot/ scatter diagram 3) Brain Rules : Dr. John J Medina ( 2008) 4) Destructive Emotions and how we can overcome them, A Dialogue with HH Dalai Lama by Daniel Goleman.(2003)