It is called a normal distribution.
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.
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.
a Gaussian or 'normal' distribution
It may not be better, but there is a lot of information on the normal distribution. It is one of the most widely used in statistics.
Why we prefer Normal Distribution over the other distributions in Statistics
It is called a normal distribution.
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.
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.
The Student's T- Distribution is a type of probability distribution that is theoretical and resembles a normal distribution. The Student T- Distribution differs from the normal distribution by its degrees of freedom.
a Gaussian or 'normal' distribution
It is probably the most widely used distribution in statistics. In addition, a lot of information exists on this distribution.
It may not be better, but there is a lot of information on the normal distribution. It is one of the most widely used in statistics.
Not necessarily.
If the underlying distribution of the product is normally distributed then (and only then) the normal distribution can be used to identify specimens that are outside the acceptable range.
to estimate the parameter values of a known distribution like normal distribution in this we estimate the parameters pop.mean and s.d
The answer will depend on the consequences of making the wrong decision based on the statistics.