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Data science is a field that deals with the collection and analysis of data. It is an interdisciplinary field that combines elements of statistics, mathematics, computer science, engineering, and operations research.

  • Variance: The difference between the largest and smallest values in a dataset.
  • Standard deviation: A measure of how far away a data point is from the mean.

One example of a measure of variability is the standard deviation. The standard deviation is one way to describe how spread out or dispersed a data set is. It can be calculated for any dataset, but it’s most commonly used for numerical data sets, like samples from an experiment or measurements from an experiment.

The range, IQR, variance, and standard deviation are all typical measurements of variability. Data sets with comparable values are considered to have low variability, whereas data sets with a wide range of values are said to have a lot of variability. You'll also need to find the mean and median while looking for variability.

The range (the gap between the largest and smallest observations), the interquartile range (the difference between the 75th and 25th percentiles), the variance, and the standard deviation are four measures of variability.

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