The mean \( \mu \) of the standard normal distribution is calculated as follows:
\[ \mu = \frac{\sum_{i=1}^N x_i}{N} = \frac{0}{1} = 0.0 \]
Thus, the mean of the standard normal distribution is:
\[ \text{Mean of the standard normal distribution: } 0.0 \]
The variance \( \sigma^2 \) is calculated using the formula:
\[ \sigma^2 = \frac{\sum (x_i - \mu)^2}{N} = \frac{0.0}{1} = 0.0 \]
The standard deviation \( \sigma \) is the square root of the variance:
\[ \sigma = \sqrt{0.0} = 0.0 \]
Thus, the standard deviation of the standard normal distribution is:
\[ \text{Standard deviation of the standard normal distribution: } 0.0 \]
The mean and standard deviation of the standard normal distribution are:
\[ \boxed{\mu = 0.0 \text{ and } \sigma = 1.0} \]
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