Mean, median, and mode are measures of central tendency that can be used to describe data sets. The mean is the average and includes all values, making it best for symmetrical distributions. The median is preferred for skewed distributions as it is not affected by outliers. The mode identifies the most frequent outcome and is useful for categorical preference data, though it can be problematic if there are multiple or outlier modes.

1. Applications of MEAN ,MODE & MEDIAN
Mean, mode and median

2. Measures of Central Tendency
 Introduction
1. A measure of central tendency is a single value that attempts to describe a set of
data by identifying the central position within that set of data
2. The mean, median and mode are all valid measures of central tendency but, under
different conditions
1. Types of data distribution
1. symmetrical distribution /normally distributed sample
2. Skewed Distribution
3. categorical data

3. Symmetrical distribution /normally distributed sample
 Mean / Median

4. Continued…..
 Mean
Typical example is of Production Factory
Where data is symmetric.
In this case mean is widely preferred as the best measure of central tendency as it is the
measure that includes all the values in the data set for its calculation .

5. Skewed Distribution
 Median

6. categorical data
 Mode
Typical example is when a preference of product is to be calculated.

7. Problems with mode
 Multiple modes and mode lying away from central data

8.  Thank you