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The estimated value is given by the expected value. The estimated number of clownfish in the store that have fin rot will be 216.
How to find that a given condition can be modeled by binomial distribution?
Binomial distributions consist of n independent Bernoulli trials.
[tex]X \sim B(n,p)[/tex]
Suppose we have random variable X pertaining to a binomial distribution with parameters n and p, then it is written as
The expected value of X is:
[tex]E(X) = np\\[/tex]
Nemo's fish store has 12 tanks of clownfish: each tank holds 30 fish.
He collects and inspects 5 fish from each tank and finds that 3 fish have fin rot
Then the estimated number of clownfish in the store that have fin rot.
The number of the clownfish in the store will be
n = 12 × 30
n= 360
Then the value of p will be
[tex]p= \dfrac{3}{5}\\\\p = 0.6[/tex]
Then the estimated number of clownfish in the store that have fin rot will be given by the expected value. Then we have
[tex]E(X) = 360 \times 0.6\\\\E(X) = 216[/tex]
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Answer:
Binomial distributions consist of n independent Bernoulli trials.
Suppose we have random variable X pertaining to a binomial distribution with parameters n and p, then it is written as
The expected value of X is:
Nemo's fish store has 12 tanks of clownfish: each tank holds 30 fish.
He collects and inspects 5 fish from each tank and finds that 3 fish have fin rot
Then the estimated number of clownfish in the store that have fin rot.
The number of the clownfish in the store will be
n = 12 × 30
n= 360
Then the value of p will be
Then the estimated number of clownfish in the store that have fin rot will be given by the expected value. Then we have
Step-by-step explanation:
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