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### What is the number of trials in a binomial distribution that has a mean of 8 and a standard deviation of 2?

There are 16 trials. Full Answer

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There are 16 trials. Full Answer

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Yes it is. For a binomial, there must be a fixed number of trials, the probability must remain constant for trials, trials must be independent, and each outcome must be classified into 2 categories. Full Answer

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Consider a binomial distribution with 10 trials What is the expected value of this distribution if the probability of success on a single trial is 0.5? Full Answer

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average number of successes Full Answer

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If the question is about 4 successful outcomes out of 16 trials, when the probability of success in any single trial is 0.20 and independent of the outcomes of other trials, then the answer is, yes, the binomial experiment can… Full Answer

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Statistics

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. Full Answer

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A number of trials, each of which has only two outcomes: these are usually termed "success" and "failure". The trials must be independent and the probability of success must remain constant. Full Answer

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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. Full Answer

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The Poisson distribution with parameter np will be a good approximation for the binomial distribution with parameters n and p when n is large and p is small. For more details See related link below Full Answer

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Statistics

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. Full Answer

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Statistics

No. A binary distribution gives the probability of obtaining x successes in n trials, x can not be greater than n. The binomial distribution can be used for any whole number greater than 0, but the distribution is not unbounded… Full Answer

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Probability

The requirements are that there are repeated trials of the same experiment, that each trial is independent and that the probability of success remains the same. Full Answer

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The binomial distribution can be approximated with a normal distribution when np > 5 and np(1-p) > 5 where p is the proportion (probability) of success of an event and n is the total number of independent trials. Full Answer

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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. Full Answer

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1 - 2 answers 2 - probabilty of success remains constant 3 - outcomes of trials are independent 4 - random variable of interest is the number of successes in a fixed number of of trials Full Answer

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It can represent anything you want it to. The conventional use is that it represents the number of successes. Full Answer

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The negative binomial can be applied in any situation in which there is a series of independent trials, each of which can result in either of just two outcomes. The distribution applies to the number of trials that occur before… Full Answer

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Binomials are used when the total of n independent trials take place and one wants to find the probability of r successes, when each success has a probability "p" of occurring. There should be independent trails, Probability of success stays… Full Answer

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No. A binomial distribution consists of trials with only two possible outcomes. The experiment described in the question has six - unless the die is so seriously loaded that only two outcomes are possible. Full Answer

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No. The fact that the outcome of one trial does not affect the outcome of any other trial follows from the fact that the trials that are independent. Whether the distribution is binomial or not is totally irrelevant. Full Answer

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Statistics

Nothing really. It concerns an experiment with identified success and failure probabilities (p and q), or Bernoulli trials, like the conventional binomial distribution. In an negative binomial experiment, the experiment is stopped after "r" successes occur in n trials. Thus… Full Answer

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If X takes the value 1 with probability p and 0 with probability (1-p), and there are n independent trials then E(X) = np Full Answer

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First i will explain the binomial expansion Full Answer

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The answer depends on the binomial. Full Answer

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If you chew Full Answer

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Algebra

no Full Answer

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Statistics

You distribute the binomial. Full Answer

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You have to multiply each term in the first binomial, by each term in the second binomial, and add the results. The final result is usually a trinomial. Full Answer

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Algebra

A binomial is a polynomial with two terms. Full Answer

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7x+8 is a binomial Full Answer

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A binomial coefficient is a coefficient of any of the terms in the expansion of the binomial (x+y)^n. Full Answer

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The binomial theorem describes the algebraic expansion of powers of a binomial, hence it is referred to as binomial expansion. Full Answer

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yes a binomial is a polynomial Full Answer

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A binomial system is binomial nomenclature which is the formal system of naming specific species. Full Answer

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what is meant by a negative binomial distribution what is meant by a negative binomial distribution Full Answer

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Neither of those expressions is a binomial. [ 2y + 2xy ] is a binomial. Full Answer

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a binomial is an equation that has varibles connected with + or - Full Answer

The binomial name is Giraffa camelopardalis. Full Answer

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Dr. Gerald Binomial. Full Answer

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igat ang binomial... Full Answer

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what are the uses of binomial distribution Full Answer

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what is the binomial nomenclature of typhoid Full Answer