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No. Normal distribution is a continuous probability.
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Yes it can be negative.
A discrete uniform distribution assigns the same probability to two or more possible events. For example, there is a discrete uniform distribution associated with flipping a coin: 'heads' is assigned a probability of 1/2 as is the event 'tails'. (Note that the probabilities are equal or 'uniform'.) There is also a discrete uniform distribution associated with tossing a die in that there is a 1/6 probability for seeing each possible side of the die.
the empirical rules of probablility applies to the continuous probability distribution
The binomial probability distribution is discrete.
They are probability distributions!
The Poisson distribution is discrete.
The mean of a discrete probability distribution is also called the Expected Value.
Half the discrete unit.
Coppersmith's discrete logarithm method
No. Normal distribution is a continuous probability.
discrete & continuous
If X has any discrete probability distribution then the sum of a number of observations for X will be normal.
Discrete probability is probability in the context of random variables that can only take a discrete number of values. In the work environment there are some events that can have discrete outcomes and others that are continuous. For example, the number of customers in a day (or month) is a discrete variable. The amount that each one spends on your products is discrete. But the time interval between them is not. So the role that any kind of probability could play depends on what you wish to study.
On a Verification of Employment, How do you answer Probablity of continued employment?
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