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No. Normal distribution is a continuous probability.
1.
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!
Coppersmith's discrete logarithm method
The Poisson distribution is discrete.
Half the discrete unit.
The mean of a discrete probability distribution is also called the Expected Value.
discrete & continuous
No. Normal distribution is a continuous probability.
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?
It is a function that gives the probabilities associated with the discrete number of values that a random variable can take.