## How to Calculate Interquartile Range (IQR) and Semi-interquartile Range or Quartile Deviation

Interquartile Range Interquartile range (IQR) is a measure of spread, based on quartiles, that still maintains the idea of range, but is not influenced …

## Transformation of Rectangular Axes: Translation, Rotation

Translation: Change of origin without any change in the direction of the axes Let the co-ordinates of a point P with respect to a …

## Karl Pearson’s Coefficient Method (Correlation)

Karl Pearson’s Coefficient Method Karl Pearson’s method of Coefficient of correlation is also known as Pearsonian coefficient or correlation or product correlation method. Let …

## Scatter Diagram Method (Correlation)

Scatter Diagram Method Scatter Diagram Method is the simplest method of studying the correlation between two variables. In this method, the values of one …

## Correlation – Definition, Types, Methods of Measurements

Correlation Correlation is a statistical tool used to study the relationship between two or more variables. Two variables are said to be correlated if …

## Mean Deviation The Absolute Measure of Dispersion

Mean Deviation Definition Mean deviation is defined as the mean of absolute deviations of the values from the central value.For individual series:\[MD\left( \overline{X} \right)=\frac{\sum{\left| …

## Quartile Deviation the Absolute Measure of Dispersion

Definition of Quartile Deviation Quartile Deviation divides the total frequency in to four equal parts. The lower quartiles Q1 refers to the values of …

## Range the Absolute Measure of Dispersion

Range Definition Range is the simplest method of studying variation. It represents the differences between the values of the extremes. It is the difference …

## Standard Deviation with Formula and Example

What is Standard Deviation? Standard deviation is the root of sum of the squares of deviations divided by their numbers. It is also called …

## Pigeonhole Principle with Examples

Here we will see how obvious the pigeonhole principle is. Its proof is very simple, and amazingly, it has several useful applications. Let us start …

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