A normal distribution is a symmetric, bell-shaped curve characterized by its mean and standard deviation. Approximately 68% of the data falls within one standard deviation from the mean, about 95% within two standard deviations, and around 99.7% within three standard deviations, commonly referred to as the empirical rule. Additionally, the mean, median, and mode of a normal distribution are all equal and located at the center of the distribution. This property makes the normal distribution fundamental in statistics and probability theory.
True. You can find many references including wikipedia on the Normal distribution on the internet.
In a normal distribution, the mean, median, and mode are all equal. Therefore, if the mean of the distribution is 105, the median of the distribution is also 105. This property holds true for any normal distribution regardless of its standard deviation.
true
Yes, and is equal to 1. This is true for normal distribution using any mean and variance.
In a normal distribution, the mean, median, and mode are all equal. Therefore, if the mean is 40, the median is also 40. This property holds true for any normal distribution regardless of its specific values.
It is symmetrical
True. You can find many references including wikipedia on the Normal distribution on the internet.
Yes- this can be proved from the normal distribution function.
yes it is true
In a normal distribution, the mean, median, and mode are all equal. Therefore, if the mean of the distribution is 105, the median of the distribution is also 105. This property holds true for any normal distribution regardless of its standard deviation.
true
Yes, it is true; and the 2 quantities that describe a normal distribution are mean and standard deviation.
Yes, and is equal to 1. This is true for normal distribution using any mean and variance.
True * * * * * No. The Student's t-distribution, for example, is also bell shaped.
No. The Normal distribution is symmetric: skewness = 0.
In a normal distribution, the mean, median, and mode are all equal. Therefore, if the mean is 40, the median is also 40. This property holds true for any normal distribution regardless of its specific values.
true