The measures of tendency (central) in statistics is referred to as mean, median and mode. Mean refers to the average in a given set of data, median is the middle score in a given set of data that has been arranged in order of magnitude and mode is the most...

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The measures of tendency (central) in statistics is referred to as mean, median and mode. Mean refers to the average in a given set of data, median is the middle score in a given set of data that has been arranged in order of magnitude and mode is the most frequent score in a given data set.

Normal distribution tendency refers to how the measures on tendency (central), namely mean, median and mode, are being positioned and the shape of distribution it forms. If the mean, median and mode are equal, then we will have a normal distribution, however if they are not identical we will have a skewed distribution (either positive or negative).

**The application of normal distribution tendency as a physicians:**

In the medical field and with the aid of biostatistics, physicians used normal distribution tendency in statistical distribution of population. If physicians need to study a certain medical condition affecting a certain group of people in an area, then it will not be practical for the physician to perform test and examine an entire population. But they perform tests on a certain number of people and obtain a sample of the population. This will help physicians to solve medical problems affecting a certain population and find trends in a particular group that could help improve the health of that group of people. An example can be found in the link below.