The mean of a discrete probability distribution is also called the Expected Value.
No. The binomial distribution (discrete) or uniform distribution (discrete or continuous) are symmetrical but they are not normal. There are others.
If X has any discrete probability distribution then the sum of a number of observations for X will be normal.
It is a discrete distribution in which the men and variance have the same value.
The Poisson distribution is a discrete distribution, with random variable k, related to the number events. The discrete probability function (probability mass function) is given as: f(k; L) where L (lambda) is the mean and square root of lambda is the standard deviation, as given in the link below: http://en.wikipedia.org/wiki/Poisson_distribution
The Poisson distribution is discrete.
If the question is asking if a continuous distribution can be converted to a discrete distribution, the answer is yes. Your age has a continuous distribution but in most cases, the information is recorded and analysed as if it were the whole number of years - a discrete distribution.
The statement is false. The binomial distribution (discrete) or uniform distribution (discrete or continuous) are symmetrical but they are not normal. There are others.
No, it's a continuous distribution.
The binomial probability distribution is discrete.
Half the discrete unit.
The mean of a discrete probability distribution is also called the Expected Value.
discrete distribution is the distribution that can use the value of a whole number only while continuous distribution is the distribution that can assume any value between two numbers.
A simple continuous distribution can take any value between two other values whereas a discrete distribution cannot.
No. The binomial distribution (discrete) or uniform distribution (discrete or continuous) are symmetrical but they are not normal. There are others.
No it is a "discrete" distribution because the outcomes can only be integers.
No. Normal distribution is a continuous probability.