Product Design and Development

By:

Paulo Hutchinson

Publication details: Larsen and Keller 2019Description: 251pISBN:

9781641720595

DDC classification:

658.575 SID-B-13585

Summary: In statistics, measures of dispersion quantify the spread or variability of data around a central value like the mean or median. They provide insights into how much the data points differ from each other and from the average. Examples of measures of dispersion include range, variance, standard deviation, interquartile range, and mean deviation. Key aspects of measures of dispersion: Definition: They describe the extent to which values in a distribution differ from the average of the distribution. Purpose: They help understand the homogeneity or heterogeneity of the data, and the degree of variability. Types: Range: The difference between the largest and smallest values in a dataset. Interquartile Range (IQR): The difference between the 75th and 25th percentiles (Q3 and Q1). Variance: The average of the squared differences between each data point and the mean. Standard Deviation: The square root of the variance, representing the average distance of data points from the mean. Mean Deviation: The average of the absolute differences between each data point and the mean.

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Item type	Current library	Collection	Call number	Status	Date due	Barcode
Books	Symbiosis Institute of Design	General Book	658.575 (Browse shelf(Opens below))	Available		SID-B-13585

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In statistics, measures of dispersion quantify the spread or variability of data around a central value like the mean or median. They provide insights into how much the data points differ from each other and from the average. Examples of measures of dispersion include range, variance, standard deviation, interquartile range, and mean deviation.
Key aspects of measures of dispersion:
Definition:
They describe the extent to which values in a distribution differ from the average of the distribution.
Purpose:
They help understand the homogeneity or heterogeneity of the data, and the degree of variability.
Types:
Range: The difference between the largest and smallest values in a dataset.
Interquartile Range (IQR): The difference between the 75th and 25th percentiles (Q3 and Q1).
Variance: The average of the squared differences between each data point and the mean.
Standard Deviation: The square root of the variance, representing the average distance of data points from the mean.
Mean Deviation: The average of the absolute differences between each data point and the mean.

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