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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.

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What is the difference between a discrete and a continuous distribution?

A simple continuous distribution can take any value between two other values whereas a discrete distribution cannot.


How would the distributions change if the difference between the means was the same as the MAD for each distribution?

If the difference between the means of two distributions is equal to the Mean Absolute Deviation (MAD) for each distribution, this would indicate that the overlap between the two distributions is minimized. As a result, the distributions would likely be more separated, leading to a clearer distinction in their central tendencies. The spread of the data would remain unchanged, but the relative positioning of the distributions would be such that they are farther apart, making it easier to identify differences between the two populations.


What is the difference between a cummulative frequency graph and a cumulative frequency polygon?

A cumulative frequency polygon has straight lines connecting the points. A normal cumulative frequency diagram uses a smooth curve to join the points.


What is difference between frequency polygon and line graph?

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.


What is the difference between continuous and discrete convolution?

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.

Related Questions

The usual sampling distributionof the difference between means is a what?

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.


What is the difference between continuous and discrete system?

The difference between continuous and discrete system lies in the variables. Whereas the continuous systems have dynamic variables, the discrete system have static variables.


What is the difference between the words cumulative and cummulative?

Cummulative is a misspelling. The word should be spelled cumulative.


What is the difference between cumulative frequency and frequency?

nothing


What is the difference between a comprehensive exam and cumulative exam?

Cumulative is formed by the addition of new material of the same kind. Comprehensive is covering completely or broadly.


What is the difference between a discrete and a continuous distribution?

A simple continuous distribution can take any value between two other values whereas a discrete distribution cannot.


How would the distributions change if the difference between the means was the same as the MAD for each distribution?

If the difference between the means of two distributions is equal to the Mean Absolute Deviation (MAD) for each distribution, this would indicate that the overlap between the two distributions is minimized. As a result, the distributions would likely be more separated, leading to a clearer distinction in their central tendencies. The spread of the data would remain unchanged, but the relative positioning of the distributions would be such that they are farther apart, making it easier to identify differences between the two populations.


What is the difference between continuous and cumulative?

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.


What is the difference between a cummulative frequency graph and a cumulative frequency polygon?

A cumulative frequency polygon has straight lines connecting the points. A normal cumulative frequency diagram uses a smooth curve to join the points.


What is the difference between discrete and discreet?

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 .


What is an important difference between the uniform and normal probability distributions?

The uniform distribution is limited to a finite domain, the normal is not.


What is the difference between a discrete and a continuous probability function?

A discrete random variable (RV) can only take a selected number of values whereas a continuous rv can take infinitely many.

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