Binomial distribution smallest value

In summary, the dilemma is asking for the smallest value of x (represented as d) in a binomial distribution with 12 trials and a probability of 0.7, where the probability of x being greater than d is less than 0.90. The equation for this is ^{12}C_0 0.7^0 0.3^{12} = 0.0053, and further calculations can be done to find the desired value of d.
  • #1
bob4000
40
0
could someone please shed some light upon the following dilemma:

Given that D~B(12,0.7), calculate the smallest value of d such that
P(D>d) <0.90.

much obliged
 
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  • #2
bob4000 said:
could someone please shed some light upon the following dilemma:

Given that D~B(12,0.7), calculate the smallest value of d such that
P(D>d) <0.90.

I am going to replace the D with an X and the d with an x and the B with a Bin.

X~Bin(12,0.7)
From this you know that n=12, p=0.7, q=0.3 and x=d.
n is the number of trials, p is the probability of the event n happening and q is 1 - p.

So X~Bin(12,0.7) = [tex]^nC_r p^r q^n^-^r = ^{12}C_0[/tex] [tex]0.7^0[/tex] [tex]0.3^{12} = 1\times1\times0.0053 = 0.0053[/tex]

All you then need to do this for the next few until you get an answer which answers your question.

The Bob (2004 ©)

EDIT: I think this post needs a little more information but I have not the time now. Sorry.
 
  • #3


The smallest value of d can be calculated by using the cumulative distribution function (CDF) of the binomial distribution. The CDF represents the probability that the random variable D is less than or equal to a certain value. In this case, we are interested in finding the smallest value of d such that the probability of D being greater than d is less than 0.90.

We can use a calculator or software to find the CDF for different values of d and then determine the smallest value that satisfies the condition. Alternatively, we can use a table of values for the binomial distribution to find the smallest value of d.

For example, using a calculator, we can find that P(D≤7) = 0.8862 and P(D≤8) = 0.9574. This means that the smallest value of d for which P(D>d) <0.90 is d=8.

Using a table, we can find the value of d by looking for the first row where the cumulative probability (in this case, 0.9574) is greater than 0.90. This corresponds to d=8.

In summary, the smallest value of d for which P(D>d) <0.90 is d=8, meaning that there is a 90% chance that D will be less than or equal to 8. I hope this helps to shed some light on the dilemma.
 

FAQ: Binomial distribution smallest value

What is the binomial distribution smallest value?

The binomial distribution is a probability distribution that describes the likelihood of obtaining a certain number of successes in a fixed number of independent trials. The smallest value in a binomial distribution is always 0, as there cannot be a negative number of successes.

How is the smallest value in a binomial distribution calculated?

The smallest value in a binomial distribution can be calculated using the formula P(X=0) = (n choose 0) * p^0 * (1-p)^(n-0), where n is the number of trials and p is the probability of success in each trial.

Can the smallest value in a binomial distribution be greater than 0?

No, the smallest value in a binomial distribution will always be 0. This is because the binomial distribution is based on a discrete set of values, and having a negative number of successes is not possible.

How does the smallest value in a binomial distribution affect the overall shape of the distribution?

The smallest value in a binomial distribution does not have a significant impact on the overall shape of the distribution. It simply represents the probability of having 0 successes, which is typically a small value compared to the other probabilities in the distribution.

Is the smallest value in a binomial distribution always the same as the mean?

No, the smallest value in a binomial distribution is not always the same as the mean. The mean, or average, of a binomial distribution is calculated by multiplying the number of trials by the probability of success. This value may or may not be the same as the smallest value, depending on the specific values of n and p.

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