If a discrete distribution is one that graphs discrete variables, then a continuous distribution ... covering all values across its probability function. A discrete probability model is a ...

We can compare discrete ... continuous. Time is measurable data and the time taken to run 100 metres can take any value. Once data has been collected it is useful to put it in a chart, graph ...

To find a link between variables. Both variables are quantitative and could be discrete or continuous. A scatter graph is a line graph but without the line joining the points. Line graph close ...

In a discrete ... continuous distributions, such as the normal distribution, chi-square, and Student's t-distribution. There are also several data generating or data analyzing functions associated ...

The integration of DV and CV technologies in unified hybrid systems (by which we mean the simultaneous use of discrete and continuous variables ... or Wigner function. Gaussian states are ...

This course provides an introduction to discrete mathematics, particularly graph theory. Emphasis will be placed on the algorithmic aspects of the area. Topics to be covered include: Brief ...