A calculator for the Bivariate Normal
At the bottom of the page at the link, under "A calculator for cumulative probabilities from the bivariate normal distribution" there's a little binary applet, which can be downloaded, and which calculates the percentage chances of being in various parts of the volume of the distribution.
Yes. And that is true of most probability distributions.
Yes. Most do.
It is a continuous parametric distribution belonging to the family of exponential distributions. It is also symmetric.
You calculate the z-scores and then use published tables.
Because very many variables tend to have the Gaussian distribution. Furthermore, even if the underlying distribution is non-Gaussian, the distribution of the means of repeated samples will be Gaussian. As a result, the Gaussian distributions are also referred to as Normal.
Yes. And that is true of most probability distributions.
No. The Normal distribution is symmetric: skewness = 0.
They are continuous, symmetric.
The uniform distribution is limited to a finite domain, the normal is not.
Yes. Most do.
It is a continuous parametric distribution belonging to the family of exponential distributions. It is also symmetric.
The normal distribution, also known as the Gaussian distribution, has a familiar "bell curve" shape and approximates many different naturally occurring distributions over real numbers.
A family that is defined by two parameters: the mean and variance (or standard deviation).
You calculate the z-scores and then use published tables.
Because very many variables tend to have the Gaussian distribution. Furthermore, even if the underlying distribution is non-Gaussian, the distribution of the means of repeated samples will be Gaussian. As a result, the Gaussian distributions are also referred to as Normal.
In parametric statistical analysis we always have some probability distributions such as Normal, Binomial, Poisson uniform etc.In statistics we always work with data. So Probability distribution means "from which distribution the data are?
Y. L. Tong has written: 'Probability inequalities in multivariate distributions' -- subject(s): Distribution (Probability theory), Inequalities (Mathematics) 'The multivariate normal distribution' -- subject(s): Distribution (Probability theory), Multivariate analysis