No it is a "discrete" distribution because the outcomes can only be integers.
Use the continuity correction when using the normal distribution to approximate a binomial distribution to take into account the binomial is a discrete distribution and the normal distribution is continuous.
what are the uses of binomial distribution
what is meant by a negative binomial distribution what is meant by a negative binomial distribution
You distribute the binomial.
No it is a "discrete" distribution because the outcomes can only be integers.
Normal distribution is the continuous probability distribution defined by the probability density function. While the binomial distribution is discrete.
The binomial probability distribution is discrete.
Use the continuity correction when using the normal distribution to approximate a binomial distribution to take into account the binomial is a discrete distribution and the normal distribution 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. The binomial distribution (discrete) or uniform distribution (discrete or continuous) are symmetrical but they are not normal. There are others.
what are the uses of binomial distribution
what is meant by a negative binomial distribution what is meant by a negative binomial distribution
Don't know what "this" is, but all symmetric distributions are not normal. There are many distributions, discrete and continuous that are not normal. The uniform or binomial distributions are examples of discrete symmetric distibutions that are not normal. The uniform and the beta distribution with equal parameters are examples of a continuous distribution that is not normal. The uniform distribution can be discrete or continuous.
You distribute the binomial.
Diameter is a continuous random variable
In a symmetric binomial distribution, the probabilities of success and failure are equal, resulting in a symmetric shape of the distribution. In a skewed binomial distribution, the probabilities of success and failure are not equal, leading to an asymmetric shape where the distribution is stretched towards one side.