The mean is the best measure of central tendency because it__________
Answer Details
The mean is considered the best measure of central tendency because it is a balancing point in an observation.
Central tendency refers to the tendency of data to cluster around a particular value in a distribution. The three measures of central tendency are mean, median, and mode. The mean is the arithmetic average of a set of data and is calculated by summing all of the values and dividing by the number of values in the set.
The mean is the balancing point in an observation because it takes into account all the values in a set of data and calculates their average. It is the sum of all the values in the set divided by the total number of values. Because the mean is based on all the values in the data set, it is less likely to be affected by extreme values (outliers) than other measures of central tendency, such as the median or mode.
In addition to being a balancing point in an observation, the mean has several other advantages as a measure of central tendency. For example, it is easy to calculate and is a useful tool for comparing different data sets. It can also be calculated from incomplete data, which is not the case with other measures of central tendency.
Overall, the mean is the best measure of central tendency because it is a balancing point in an observation and takes into account all the values in a data set, making it less likely to be influenced by extreme values.