Yes, it is true; and the 2 quantities that describe a normal distribution are mean and standard deviation.
No. The Normal distribution is symmetric: skewness = 0.
The standard normal distribution is a special case of the normal distribution. The standard normal has mean 0 and variance 1.
The standard deviation (SD) is a measure of spread so small sd = small spread. So the above is true for any distribution, not just the Normal.
The domain of the normal distribution is infinite.
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
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.
true
yup, it's a bell curve
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.