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When its probability distribution the standard normal distribution.

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Is normal distribution hypothetical?

The normal distribution is a theory, which works in practice (with a large enough sample). E.g if you were to plot the height of everyone in the country, you should end up with a normal distribution. Hence it is not usually considered hypothetical, in the same way that, say, imaginary numbers are hypothetical.


What is the perfect standard normal distribution?

The standard normal distribution is a subset of a normal distribution. It has the properties of mean equal to zero and a standard deviation equal to one. There is only one standard normal distribution and no others so it could be considered the "perfect" one.


What requirements are necessary for a normal probability distribution to be a standard normal probability?

For a normal probability distribution to be considered a standard normal probability distribution, it must have a mean of 0 and a standard deviation of 1. This standardization allows for the use of z-scores, which represent the number of standard deviations a data point is from the mean. Any normal distribution can be transformed into a standard normal distribution through the process of standardization.


What does it mean when you say a variable is normally distributed?

It means that the probability distribution function of the variable is the Gaussian or normal distribution.


What is the difference between a normal distribution and the standard normal distribution?

The standard normal distribution is a normal distribution with mean 0 and variance 1.


What is the difference of a normal distribution and a stardard normal distribution?

The standard normal distribution is a special case of the normal distribution. The standard normal has mean 0 and variance 1.


When we say Distribution is a normal?

When we say a distribution is normal, we refer to a statistical distribution that follows a bell-shaped curve, characterized by its symmetry about the mean. In a normal distribution, approximately 68% of the data falls within one standard deviation of the mean, 95% within two standard deviations, and 99.7% within three standard deviations. This distribution is defined by its mean and standard deviation, and it is widely used in statistics due to the Central Limit Theorem, which states that the sum of many independent random variables tends toward a normal distribution, regardless of the original distribution.


Is continuous distribution normal distribution?

le standard normal distribution is a normal distribution who has mean 0 and variance 1


Why is it correct to say a normal disstrubtion and the standard normal distribution?

A normal distribution refers to a continuous probability distribution that is symmetrical and characterized by its mean and standard deviation. In contrast, the standard normal distribution is a specific case of the normal distribution where the mean is 0 and the standard deviation is 1. This standardization allows for easier comparison and calculation of probabilities using z-scores, which represent the number of standard deviations a data point is from the mean. Thus, while all standard normal distributions are normal, not all normal distributions are standard.


Why is it correct to say a normal distribution and the standard normal distribution?

A normal distribution refers to any bell-shaped distribution characterized by its mean and standard deviation, allowing for a variety of shapes depending on these parameters. The standard normal distribution, however, is a specific case of a normal distribution where the mean is 0 and the standard deviation is 1. This standardization allows for easier comparison and calculation of probabilities using z-scores, which represent the number of standard deviations a data point is from the mean. Thus, while all standard normal distributions are normal distributions, not all normal distributions are standard normal distributions.


What proportion of subjects are considered outliers in a normal distribution?

There is no specific proportion: the answer depends on the level of significance beyond which subjects are considered to be outliers.


Does a normal probability distribution include a bimodal distribution?

No, the normal distribution is strictly unimodal.

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