geometric distribution

For continuous data we don’t have equally spaced
discrete values so instead we use a curve or function
that describes the probability density over the range of
the distribution.
The curve is chosen so that the area under the curve is
equal to 1.
If we observe a sample of data from such a distribution
we should see that the values occur in regions where
the density is highest.For continuous data we don’t have equally spaced
discrete values so instead we use a curve or function
that describes the probability density over the range of
the distribution.
The curve is chosen so that the area under the curve is
equal to 1.
If we observe a sample of data from such a distribution
we should see that the values occur in regions where
the density is highest.For continuous data we don’t have equally spaced
discrete values so instead we use a curve or function
that describes the probability density over the range of
the distribution.
The curve is chosen so that the area under the curve is
equal to 1.
If we observe a sample of data from such a distribution
we should see that the values occur in regions where
the density is highest.