Examples of 'binomial distribution' in a sentence
Meaning of "binomial distribution"
In statistics, it refers to a probability distribution describing the number of successes in a fixed number of independent Bernoulli trials
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- The discrete probability distribution of the number of successes in a sequence of n independent trials, each of which yields success with probability p.
How to use "binomial distribution" in a sentence
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binomial distribution
If we describes this as a binomial distribution with the.
Binomial distribution only considers two factors.
You would use the binomial distribution.
The binomial distribution and its properties.
I calculate this using the binomial distribution.
The binomial distribution is presented below.
This is what we did with the binomial distribution.
The negative binomial distribution may also be helpful.
Let us explore another example of a binomial distribution.
We choose to apply the binomial distribution in problems about healthcare.
Cofidence interval for probability of binomial distribution.
Has approximately the binomial distribution with parameters n and p.
Used to approximate probabilities for a binomial distribution.
The binomial distribution was used to compute the significance level.
The answer is to be found in the binomial distribution.
See also
The binomial distribution is a mathematical function with two variables n and p.
Proportions and the binomial distribution.
So in any binomial distribution this is a probability that you get k successes.
This is the probability mass function of a binomial distribution.
We know the binomial distribution.
A geometric distribution is a special case of negative binomial distribution.
Beta negative binomial distribution.
The charged multiplicities are shown to have a negative binomial distribution.
There is no binomial distribution.
These distributions can be modeled by the negative binomial distribution.
Poisson binomial distribution.
So let us go straight to the binomial distribution.
With the binomial distribution one can obtain a prediction interval.
Calculated with standard binomial distribution.
But in the binomial distribution you can kind of view it that way.
And why this is called the binomial distribution.
The mean of a binomial distribution is the number of trials multiplied by the probability.
This is no longer a clean binomial distribution.
The binomial distribution was used to compute the significance level of the McNemar test.
Extended negative binomial distribution.
A good model for calculating CIs around an estimate of a proportion is the binomial distribution.
Bivariate negative binomial distribution.
The expected uniformly random matrix bin coverage is calculated using the binomial distribution.
Find the mean of the binomial distribution using the formula.
This is you are taking every term of the binomial distribution.
Modified binomial distribution.
Compute mean and variance of the negative binomial distribution.
Generalised binomial distribution.
Usually it is assumed that disease cases follow a poisson or binomial distribution.
Generalized binomial distribution.
The distribution of polymprohic loci can be modeled using a binomial distribution.
Positive binomial distribution.
Let us delve a little bit more into the binomial distribution.
X has a binomial distribution.
The only thing we need to do is to apply binomial distribution formula.
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Examples of using Binomial
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So a binomial is just a polynomial with two terms
If we describes this as a binomial distribution with the
Binomial and applications training labour market
