No, it is continuous.
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 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.
No, it is continuous.
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.
Yes, If you have a large data set, you can approximate the discrete data by Normal distribution (which is continuous). An example would be, "A coin is tossed 1000 times. What is the probability of rolling between 300 and 400 heads?" This problem, usually solved by Binomial distribution (which is a discrete distribution), is very difficult to solve because of the large data set and can be approximated by the Normal distribution.
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.