Normal, or Gaussian, distribution describes a pattern where values in your defined range occur more frequently around a center point, or mean. Using the sales projection example, you observe that ...

These variables are especially useful in situations where measurements are involved—such as time, length, or temperature—because the possible values are not limited to specific points. For example, ...

Then ask them to stand up and measure again, recording any differences. This is an example of a continuous random variable, as height can take on any value within a range (e.g. someone could be 5’8.5” ...

Hi @KaniZ0r I tried to do with collection variables and it still dont work: Here is my json body: Here is what is created in database: And here is value of my variable when i click to eye up: And here ...

Continuous A continuous bivariate joint density function defines the probability distribution for a pair of random variables. For example, the function f (x,y) = 1 when both x and y are in the ...

A Python3 package for statistical analysis of crater count data. To see some of the functionality, start with three example notebooks: The examples/age_calculation_example notebook shows how to ...

Random factor analysis is a way of determining the level of quality of a firm's output by randomly sampling from its production. It may also refer to a form of statistical inference, known as ...