mediaanijakaumina

Mediaanijakaumina, often translated as median distribution, refers to a statistical concept where the median is used as a measure of central tendency for a set of data. Unlike the mean (keskiarvo), which is calculated by summing all values and dividing by the number of values, the median is the middle value in a dataset that has been ordered from least to greatest. If there is an even number of data points, the median is the average of the two middle values. The use of the median is particularly useful when dealing with skewed data or data that contains outliers, as it is less affected by extreme values than the mean. For example, in income distributions, a few very high earners can significantly inflate the mean, making the median a more representative figure for the typical income. In a probability distribution context, the median is the value that divides the probability mass in half, meaning that 50% of the observations are expected to fall below the median and 50% above. This property makes it a robust measure for understanding the central point of a distribution, especially in fields where extreme values are common or can distort an average.