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In a stable population, the number of people of any age must be smaller than the number of people in the age just below. This is because the difference between the two is the number of younger people who died at that age. Furthermore mortality rates are age dependent: after a relatively (or in some cases absolutely) high infant mortality, the rate drops until old age kicks in. As a reult the distribution is not normal.
In a growing population the lower end of the distribution is large and so again not normal.
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What are some examples of abnormal and normal distribution in statistics?
IQ is normally distributed in the general population. Age is not.
What is a bell-shaped distribution in statistics?
It is called a normal distribution.
Why you prefer normal distribution over other distributions in statistics?
we prefer normal distribution over other distribution in statistics because most of the data around us is continuous. So, for continuous data normal distribution is used.
Why Normal distribution is better then other distributions in statistics?
The normal distribution has two parameters, the mean and the standard deviation Once we know these parameters, we know everything we need to know about a particular normal distribution. This is a very nice feature for a distribution to have. Also, the mean, median and mode are all the same in the normal distribution. Also, the normal distribution is important in the central limit theorem. These and many other facts make the normal distribution a nice distribution to have in statistics.
What is the usefulness of normal distribution and its application in statistics?
i dont even no
