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What is the Assumptions for a Binomial distribution and Poisson?
For the binomial, it is independent trials and a constant probability of success in each trial.For the Poisson, it is that the probability of an event occurring in an interval (time or space) being constant and independent.
Which of the below is not a requirement for binomial experiment?
A binomial experiment requires a fixed number of trials, two possible outcomes (success or failure) for each trial, and independent trials. However, one thing that is not a requirement is that the probability of success must remain constant across trials; this condition holds true in a binomial experiment, but if it changes, it would not disqualify the experiment from being binomial as long as the other conditions are met.
Is a binomial also a polynomial?
yes a binomial is a polynomial
Is a polynomial also a binomial?
yes a binomial is a polynomial
What are the conditions needed in a binomial experiment?
A binomial experiment must meet four specific conditions: there are a fixed number of trials, each trial has only two possible outcomes (success or failure), the trials are independent of each other, and the probability of success remains constant across all trials. These conditions ensure that the experiment can be analyzed using the binomial probability formula.
If the constant term of (x3 plus ax2)5 is equal to -270 then what is a?
Both terms in the binomial have positive exponents of x and so it is not possible for there to be a constant term in its expansion. If the second term is a negative power then it is not possible to tell whether it should be (a/x^2) or 1/(ax^2) which will yield different answers.
Is it possible to have two terms in the product when a binomial is squared?
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Is it possible to have two terms in the product when any binomial is square?
No, it is not.
A binomial trial is one in which there are four possible outcomes.?
false
How many experimental outcomes are possible for the binomial and the Poisson distributions?
The binomial distribution is a discrete probability distribution. The number of possible outcomes depends on the number of possible successes in a given trial. For the Poisson distribution there are Infinitely many.
What is the parameters that determine a Binomial Distribution?
The binomial distribution has two parameter, denoted by n and p. n is the number of trials. p is the constant probability of "success" at each trial.
What is 2n 4 plus 3n a monomial a binomial or a polynomial?
It is a binomial, which is also a polynomial.
