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Normal distributions are very informative in statistics, it is type of continuous distribution. It is often used in both natural and social sciences to help shed light on random variables where their distri-bution is not known.
The three features of normal distribution are
1. It has a bell shaped curve.
2. The total areas under the curve is equal to 1.
3. The bell shape is symmetrical.
2. How is the average of a normal distribution measured and what should be the relationship be-tween the three types of measurement?
There are three types of measure in order to support the average of normal distribution.
They are: The mean summarizes the properties of the group. It’s important to understand that the mean does not represent an individual – there may be no individual whose value matches the mean; but the mean is a summary of the entire population. It is easy to calculate: add up all the numbers, then divide by how many numbers there are. The sum divided by the count.
The median is almost always more representative of a typical member of a group. If you take all of the numbers in a list, and arrange them from lowest to highest, or vice versa, if there is an odd number, the number at the middle will be the median. If there is an even number, the median will be the average of the middle two numbers. Unlike the mean, the*…show more content…*

It establishes how far they have deviated from the mean in either direction. It gives us detail about the proportion of the distribution are -1 and +1 from the standard deviation, as well two standard deviations from the mean. This can be useful in measuring differences within a group of participants. For example, in a class where the mean is 50% for both boys and girls, looking at the standard deviation can show how much each gender deviated from the mean and can highlight the spread of scores. This can be a more useful

It establishes how far they have deviated from the mean in either direction. It gives us detail about the proportion of the distribution are -1 and +1 from the standard deviation, as well two standard deviations from the mean. This can be useful in measuring differences within a group of participants. For example, in a class where the mean is 50% for both boys and girls, looking at the standard deviation can show how much each gender deviated from the mean and can highlight the spread of scores. This can be a more useful

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