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What is she binomial probability distribution is used with?
It is used when repeated trials are carried out , in which there are only two outcomes (success and failure) and the probability of success is a constant and is independent of the outcomes in other trials.
Why is it important to carry out a large number of trials in determining probability?
If you only carry out a few trials, then how can you know how many times a particular situation will occur? One has to do a lot of trials in order to determine how many times that situation will happen so he can conclude the probability he's looking for.
The probability of an event is 20 percent How many times should you expect this event to occur in the given number of trials 15 trials 40 trials 75 trials 120 trials?
15 trials: 3 times 40 trials: 8 times 75 trials: 15 times 120 trials: 24 times But don't bet on it.
How do you differentiate a Poisson distribution and a binomial one in a level qns?
The Poisson distribution is characterised by a rate (over time or space) of an event occurring. In a binomial distribution the probability is that of a single event (outcome) occurring in a repeated set of trials.
What happens to theoretical and experimental probability when you increase the number of trials?
When you increase the number of trials of an aleatory experiment, the experimental probability that is based on the number of trials will approach the theoretical probability.
