0
The normal distribution is a continuous probability distribution that describes the distribution of real-valued random variables that are distributed around some mean value.
The Poisson distribution is a discrete probability distribution that describes the distribution of the number of events that occur within repeated fixed time intervals, where the mean frequency is a known value, and each interval is independent of the prior interval(s)/event(s).
Still curious? Ask our experts.
Chat with our AI personalities
Maxine
Fran
ReneAdd your answer:
Earn +20 pts
What does probalility distribution mean?
In parametric statistical analysis we always have some probability distributions such as Normal, Binomial, Poisson uniform etc.In statistics we always work with data. So Probability distribution means "from which distribution the data are?
What is the difference between a general normal curve and a standard normal curve?
A standard normal distribution has a mean of zero and a standard deviation of 1. A normal distribution can have any real number as a mean and the standard deviation must be greater than zero.
If the paired difference's are normal in a test of mean difference's then the distribution used for testing is the?
If the paired differences are normal in a test of mean differences, then the distribution used for testing is the
What is the difference between Gamma distribution and Central limit theorem?
There is abig difference between them..gamma is a distribution but central limit theorm is just like a method or technique u use to approximate gamma to another distriution which is normal....stupid
When to use poisson distribution?
A Poisson distribution is appropriate when you have events that occurindependently of one another in space or time,at a constant rate, andoccur singly.The last condition means that the probability of more than one event occurring at any particular point in space or time is zero (or negligible).However, if the parameter (mean) of the Poisson distribution, L, is greater than 10, you may be better off using the Normal approximation, N(L, L), with the appropriate continuity corrections.
