It is symmetrical
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 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 standard normal distribution is a special case of the normal distribution. The standard normal has mean 0 and variance 1.
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
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
yup, it's a bell curve