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The mean of a binomial probability distribution can be determined by multiplying?
The mean of a binomial probability distribution can be determined by multiplying the sample size times the probability of success.
What is the binomial probability if the mean value is 3 and the variance is 1.2?
It is 0.6
In a normal distribution with mean 80 and variance 144 squared what is the probability above 100?
The probability is 0.4448, approx.
What shape would the probability distribution have for completely uncertain returns?
the variance is infinitely large and in the extreme case the probability distribution curve will simply be a horizontal line
What is the difference between poisson and binomial distribution?
Poisson and Binomial both the distribution are used for defining discrete events.You can tell that Poisson distribution is a subset of Binomial distribution. Binomial is the most preliminary distribution to encounter probability and statistical problems. On the other hand when any event occurs with a fixed time interval and having a fixed average rate then it is Poisson distribution.
Can you please tell me the variance and the standard deviation for n equals 80 and p equals 0.3?
For a binomial probability distribution, the variance is n*p*q which is 80*.3*.7 = 16.8. The standard deviation is square root of the variance which is 4.099; rounded is 4.1. The mean for a binomial probability distribution is n*p or 80*.3 or 24.
What are mean and variance of negative binomial distribution by conclusion?
what is meant by a negative binomial distribution what is meant by a negative binomial distribution
Distinguish between binomial distribution and normal distribution?
Normal distribution is the continuous probability distribution defined by the probability density function. While the binomial distribution is discrete.
The mean of a binomial probability distribution can be determined by multiplying?
The mean of a binomial probability distribution can be determined by multiplying the sample size times the probability of success.
What is the binomial probability if the mean value is 3 and the variance is 1.2?
It is 0.6
Is in binomial distribution mean always greater then variance?
yes
Is the binominal probability discrete or continuous?
The binomial probability distribution is discrete.
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?
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?
A binomial probability distribution with 5 as the probability of a success will have a distribution with a shape best described by?
Nothing since it is impossible. No event can have 5 as the probability of success.
How do you find the mean variance and standard deviation of the binomial distribution with the given values of n and p?
In a binomial distribution, the mean (μ) is calculated using the formula μ = n * p, where n is the number of trials and p is the probability of success in each trial. The variance (σ²) is computed using the formula σ² = n * p * (1 - p). The standard deviation (σ) is the square root of the variance, calculated as σ = √(n * p * (1 - p)). These parameters help summarize the distribution's central tendency and spread.
How to find the variance of 36 percent of voters favor a given ballot for groups of 30 voters find the variance for the nunmber who favor the measure?
If you assume a binomial distribution, the variance is n*p*(1-p) where n is the number of voters = 30 p is the probability of support = 0.36 So variance = 30*0.36*0.64 = 6.912
What is difference between skew binomial and symmetric binomial distribution?
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.
