The mode is the value with the most data. Unfortunately it tells you nothing about the rest of the distribution. The mean and median provide more useful information in most situations.
When there are no outliers in a data set, the mean is typically the best measure of central tendency. This is because the mean takes into account all values in the data set, providing a comprehensive average. It reflects the overall distribution of the data more accurately when the values are evenly spread without extreme variations. In such cases, the median and mode may not provide as much insight into the data's overall behavior.
It depends on what you want. If it is simply to know what the "average" value is, then the mode may be the best in these circumstances. But if you want to do anything else - eg determine the spread of the data, or test any hypothesis about the data, you will be much better off with the mean. That is because the mean has been studied much more comprehensively than other measures of central tendency and its characteristics are incorporated into many statistical tests.
If the wide range is evenly spread between the very small and the very large (the distribution is symmetric) then there is not much to choose between the median and the mean. If not, the median will have some advantages as a measure of central tendency.
Spread, in the context of a probability distribution, is a measure of how much the data vary about their central value.
Characteristics of distribution include its shape, which can be normal, skewed, or uniform; its central tendency, represented by measures like mean, median, and mode; and its variability, indicated by measures such as range, variance, and standard deviation. Additionally, the presence of outliers can significantly affect the distribution's characteristics. The distribution can also be described by its kurtosis, which measures the "tailedness," indicating how much of the variance is due to extreme values. Understanding these characteristics helps in analyzing data and making informed decisions.
When there are no outliers in a data set, the mean is typically the best measure of central tendency. This is because the mean takes into account all values in the data set, providing a comprehensive average. It reflects the overall distribution of the data more accurately when the values are evenly spread without extreme variations. In such cases, the median and mode may not provide as much insight into the data's overall behavior.
Range is a measure of variation; mode is a measure of center. Range will tell you how much the data vary, mode does not tell you how much the data vary.
It depends on what you want. If it is simply to know what the "average" value is, then the mode may be the best in these circumstances. But if you want to do anything else - eg determine the spread of the data, or test any hypothesis about the data, you will be much better off with the mean. That is because the mean has been studied much more comprehensively than other measures of central tendency and its characteristics are incorporated into many statistical tests.
If the wide range is evenly spread between the very small and the very large (the distribution is symmetric) then there is not much to choose between the median and the mean. If not, the median will have some advantages as a measure of central tendency.
The mean is most affected. Mode and Median are not influenced as much by outliers.
Spread, in the context of a probability distribution, is a measure of how much the data vary about their central value.
It means to see what your man does and to see how much he cares and loves you( If you go to Central community school go to T.H. not a boy a girl).
The median.
It is not enough to know only the mean or some other measure of the central tendency: it is useful to know the dispersion. If, in a test, the average score is 50 and you score 52 you have clearly scored better than average but how much better? If the scores range from 0 to 100, you are pretty close to average whereas if they range from 48 to 52 you are amongst the top of the class!
The mean of deterioration refers to the average extent of decline or worsening in a given situation or condition. It represents the central tendency of how much something has degraded or gotten worse over a specific period of time.
They have a tendency of being $50
The time it takes to get to Greenwich can vary depending on the mode of transportation and your starting location. By public transportation, it usually takes around 30-40 minutes from central London.