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Statistics
 Introduction Central Tendency Measures Mean Geometric Mean Media Armónica Mediana Moda Measures of Location Centiles Deciles Cuartiles Ejercicio Measures of Position Introducción Desviación media Varianza Desviación típica Coeficiente de variación Ejercicio Medidas de Forma Asimetría Apuntamiento Test

Introduction

In many real-life situations, it is helpful to describe data by a single number that is most representative of the entire collection of numbers. Three ways of characterizing any data distribution are:

• Measures of Central Tendency.
Describe the center point of a data set with a single value.

• Measures of Dispersion.
Describe how far individual data values have strayed from the mean.

• Measures of Skewness and Kurtosis.
Describe the degree of asymmetry and peakedness of a distribution, usually taken relative to a normal distribution.
You need to know that some measures of central tendency and variability are inappropiate for qualitative variables.