Which of the following is a measure of central tendency

The measure of central tendency is the Median. It is a statistical measure that represents the middle value in a set of observations. To calculate the median, you need to arrange the observations in order of magnitude and then select the middle value. If there is an even number of observations, the median is the average of the two middle values. The median is a useful measure of central tendency because it is not affected by extreme values, also known as outliers. Unlike the mean, which can be skewed by extreme values, the median is based on the order of the observations and is not influenced by the size of the values. For example, if you have a set of ten test scores, ranging from 60 to 100, and one of the scores is 100, the mean score would be affected by the outlier. However, the median score would remain the same, as it is based on the middle value, which is not influenced by the outlier. In summary, the median is a measure of central tendency that represents the middle value in a set of observations. It is not affected by extreme values, making it a useful measure for datasets with outliers.