Skewness is not a characteristic.
I apologize my question should have read what are the characteristics of a standard normal probability distribution? Thank you
The mean is 0 and the variance is 1. This need not be the case in any other Normal (Gaussian) distribution.
The standard normal distribution is a normal distribution with mean 0 and variance 1.
le standard normal distribution is a normal distribution who has mean 0 and variance 1
When its probability distribution the standard normal distribution.
I apologize my question should have read what are the characteristics of a standard normal probability distribution? Thank you
The mean is 0 and the variance is 1. This need not be the case in any other Normal (Gaussian) distribution.
The normal distribution is a statistical distribution. Many naturally occurring variables follow the normal distribution: examples are peoples' height, weights. The sum of independent, identically distributed variables - whatever their own underlying distribution - will tend towards the normal distribution as the number in the sum increases. This means that the mean of repeated measures of ANY variable will approach the normal distribution. Furthermore, some distributions that are not normal to start with, can be converted to normality through simple transformations of the variable. These characteristics make the normal distribution very important in statistics. See attached link for more.
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
When its probability distribution the standard normal distribution.
No, the normal distribution is strictly unimodal.
Characteristics of distribution include its shape, which can be normal, skewed, or uniform; its central tendency, represented by measures like mean, median, and mode; and its variability, indicated by measures such as range, variance, and standard deviation. Additionally, the presence of outliers can significantly affect the distribution's characteristics. The distribution can also be described by its kurtosis, which measures the "tailedness," indicating how much of the variance is due to extreme values. Understanding these characteristics helps in analyzing data and making informed decisions.
The domain of the normal distribution is infinite.
The standard normal distribution has a mean of 0 and a standard deviation of 1.
The Normal distribution is, by definition, symmetric. There is no other kind of Normal distribution, so the adjective is not used.