Explain each of the following measure of central tendency mean, median, mode
Mean:
The mean is also known as the average. It is calculated by summing up all the values in a dataset and dividing by the number of data points. The mean is sensitive to extreme values and can be affected by outliers. It is commonly used when the data is normally distributed.
Median:
The median is the middle value in a dataset when it is ordered from lowest to highest. If the number of data points is even, the median is the average of the two middle values. The median is not affected by extreme values or outliers and is often used when the data contains outliers or is skewed.
Mode:
The mode is the value that appears most frequently in a dataset. A dataset can have multiple modes if multiple values have the same highest frequency. The mode is used to describe the most common value in the data and is useful when dealing with categorical or discrete data. Unlike the mean and median, the mode can be applicable to any type of data.