Measures of central tendency

Measures of central tendency

1. Measures of central tendency help you find the middle, or the average, of a dataset.

   • The 3 most common measures of central tendency are the mode, median, and mean.
     • The central tendency is stated as the statistical measure that represents the single value of the entire distribution or a dataset.

2. Mean

   • The mean represents the average value of the dataset.
     • It can be calculated as the sum of all the values in the dataset divided by the number of values
       • In symmetric data distribution, the mean value is located accurately at the centre
         • But in the skewed continuous data distribution, the extreme values in the extended tail pull the mean value away from the centre.
           • So it is recommended that the mean can be used for the symmetric distributions.

3. Median

   • Is the value of the given data-set that is the middle-most observation, obtained after arranging the data in ascending order is called the median of the data.
     • The major advantage of using the median as a central tendency is that it is less affected by outliers and skewed data.
       • We can calculate the median for different types of data, grouped data, or ungrouped data using the median formula.

4. Mode

   • Mode is one of the measures of the central tendency, defined as the value which appears most often in the given data
   • the observation with the highest frequency is called the mode of data.
   • The mode for grouped data or ungrouped data can be calculated using the mode formulas

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