Q: What is true regarding the normal distribution?

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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.

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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

Yes, it is true; and the 2 quantities that describe a normal distribution are mean and standard deviation.

true

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.