In this blog series, we will cover some basic definitions in statistics which are used to summarise numerical data. We will see them under four headings.
<ul>
<li>Measures of central tendency: These are measures which can be used to quantify or represent the most typical value or the centre of a data set. Below are the 3 commonly used measures of central tendency.
<ul>
<li>Mean
</li>
<li>Median
</li>
<li>Mode
</li>
</ul>
</li>
<li>Measures of dispersion: These measures indicate the variability or the spread of a dataset. Below listed are the commonly used measures of dispersion or spread
<ul>
<li>range
</li>
<li>interquartile range
</li>
<li>variance - population variance and a sample variance
</li>
</ul>
</li>
<li>Five-number summary for a numerical data set
<ul>
<li>minimum
</li>
<li>maximum
</li>
<li>first quartile
</li>
<li>third quartile
</li>
<li>second quartile or median
</li>
</ul>
</li>
<li>Some Adhoc Definitions
<ul>
<li>outlier</li>
</ul>
</li>
</ul>

In this blog series, we will cover some basic definitions in statistics which are used to summarise numerical data. We will see them under four headings.

* **Measures of central tendency**: These are measures which can be used to quantify or represent the most typical value or the centre of a data set. Below are the 3 commonly used measures of central tendency.
    
    * Mean
        
    * Median
        
    * Mode
        
* **Measures of dispersion:** These measures indicate the variability or the spread of a dataset. Below listed are the commonly used measures of dispersion or spread
    
    * range
        
    * interquartile range
        
    * variance - population variance and a sample variance
        
* **Five-number summary for a numerical data set**
    
    * minimum
        
    * maximum
        
    * first quartile
        
    * third quartile
        
    * second quartile or median
        
* **Some Adhoc Definitions**
    
    * outlier

Statistics - Some Basic Definitions

Summarising Numerical Data

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