A discrete distribution is one in which the random variable can take only a limited number of values.
A cumulative distribution, which can be discrete of continuous, is the sum (if discrete) or integral (if continuous) of the probabilities of all events for which the random variable is less than or equal to the given value.
A simple continuous distribution can take any value between two other values whereas a discrete distribution cannot.
A cumulative frequency polygon has straight lines connecting the points. A normal cumulative frequency diagram uses a smooth curve to join the points.
The difference between frequency polygon and line graphs is their purpose. Frequency polygons are for understanding shapes distributions, while line graphs shows information that is related in some way.
A convolution is a function defined on two functions f(.) and g(.). If the domains of these functions are continuous so that the convolution can be defined using an integral then the convolution is said to be continuous. If, on the other hand, the domaisn of the functions are discrete then the convolution would be defined as a sum and would be said to be discrete. For more information please see the wikipedia article about convolutions.
I think you are going for continuous variable, as compared with discrete variables.
There is no such thing as "the usual sampling distribution". Different distributions of the original random variables will give different distributions for the difference between their means.There is no such thing as "the usual sampling distribution". Different distributions of the original random variables will give different distributions for the difference between their means.There is no such thing as "the usual sampling distribution". Different distributions of the original random variables will give different distributions for the difference between their means.There is no such thing as "the usual sampling distribution". Different distributions of the original random variables will give different distributions for the difference between their means.
The difference between continuous and discrete system lies in the variables. Whereas the continuous systems have dynamic variables, the discrete system have static variables.
Cummulative is a misspelling. The word should be spelled cumulative.
nothing
Cumulative is formed by the addition of new material of the same kind. Comprehensive is covering completely or broadly.
A simple continuous distribution can take any value between two other values whereas a discrete distribution cannot.
Continuous refers to measurements that can take any value, possibly between two limits. Cumulative usually refers to a count "up to and including" the current value.
A cumulative frequency polygon has straight lines connecting the points. A normal cumulative frequency diagram uses a smooth curve to join the points.
The words discrete and discreet are pronounced in the same way and share the same origin but they do not mean the same thing. Discrete means 'separate,' as in a finite number of discrete categories, while discreet means 'careful and circumspect,' as in you can rely on him to be discreet .
The uniform distribution is limited to a finite domain, the normal is not.
A discrete random variable (RV) can only take a selected number of values whereas a continuous rv can take infinitely many.
discrete signal varies on the independent variable scale (example time scale) digital signal varies on the dependent variable scale as well