If the paired differences are normal in a test of mean differences, then the distribution used for testing is the
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.
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.
No, the normal distribution is strictly unimodal.
Yes. When we refer to the normal distribution, we are referring to a probability distribution. When we specify the equation of a continuous distribution, such as the normal distribution, we refer to the equation as a probability density function.
The Normal distribution is, by definition, symmetric. There is no other kind of Normal distribution, so the adjective is not used.
You can use a normal distribution to approximate a binomial distribution if conditions are met such as n*p and n*q is > or = to 5 & n >30.
Normal distribution is a perfectly symmetrical bell-shaped normal distribution. The bell curve is used to find the median, mean and mode of a function.
If the paired differences are normal in a test of mean differences, then the distribution used for testing is the
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.
PERT is a chart used to organize schedules and manage tasks within a project. PERT is an acronym of Program Evaluation Review Technique.
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.
The standard normal distribution is a normal distribution with mean 0 and variance 1.
The standard normal distribution is a special case of the normal distribution. The standard normal has mean 0 and variance 1.
le standard normal distribution is a normal distribution who has mean 0 and variance 1
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.