Under what circumstances is the mean the best measure of central tendency?
The mean is usually the best measure of central tendency to use when your data distribution is continuous and symmetrical, such as when your data is normally distributed.
However, it all depends on what you are trying to show from your data..
Is the mean or median a better measure of center?
However, in this situation, the mean is widely preferred as the best measure of central tendency because it is the measure that includes all the values in the data set for its calculation, and any change in any of the scores will affect the value of the mean. This is not the case with the median or mode.
What measure of central tendency is the best to use?
meanThe mean is the most frequently used measure of central tendency because it uses all values in the data set to give you an average. For data from skewed distributions, the median is better than the mean because it isn’t influenced by extremely large values.
Why are the measures of center important?
Measures of center are some of the most important descriptive statistics you can get. In our society, we always want to know the “average” of everything: the average age, average number, average speed, etc. etc. It helps give us an idea of what the “most” common, normal, or representative answers might be.
Which is better mean and median?
Unlike the mean, the median value doesn’t depend on all the values in the dataset. Consequently, when some of the values are more extreme, the effect on the median is smaller. … When you have a skewed distribution, the median is a better measure of central tendency than the mean.