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Usimov [2.4K]
3 years ago
5

In New York City, 45% of all blood donors have type O blood. (Based on data from the Greater New York Blood Program). Find the p

robability that 5 randomly selected blood donors in NYC all have Group O blood.
Mathematics
1 answer:
quester [9]3 years ago
7 0

Answer:

0.0185 = 1.85% probability that 5 randomly selected blood donors in NYC all have Group O blood.

Step-by-step explanation:

For each donor, there are only two possible outcomes. Either they have type O blood, or they do not. The donors are selected randomly, which means that the probability of a donor having type A blood is independent from other donors. So we use the binomial probability distribution to solve this problem.

Binomial probability distribution

The binomial probability is the probability of exactly x successes on n repeated trials, and X can only have two outcomes.

P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}

In which C_{n,x} is the number of different combinations of x objects from a set of n elements, given by the following formula.

C_{n,x} = \frac{n!}{x!(n-x)!}

And p is the probability of X happening.

In New York City, 45% of all blood donors have type O blood.

This means that p = 0.45.

Find the probability that 5 randomly selected blood donors in NYC all have Group O blood.

This is P(X = 5) when n = 5. So

P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}

P(X = 5) = C_{5,5}.(0.45)^{5}.(0.55)^{0} = 0.0185

0.0185 = 1.85% probability that 5 randomly selected blood donors in NYC all have Group O blood.

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Answer:

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dimulka [17.4K]

Answer:

a) 48.21 %

b) 45.99 %

c) 20.88 %

d) 42.07 %

e) 50 %

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Step-by-step explanation:

The test to carry out is:

Null hypothesis  H₀    is                           μ₀ = 30  

The alternative hypothesis                      m  ≠ 30

In which we already have the value of z for each case therefore we look  directly the probability in z table and carefully take into account that we had been asked for differences from the mean (0.5)

a)  z = 2.1   correspond to  0.9821  but mean value is ubicated at 0.5 then we subtract    0.9821 - 0.5  and get 0.4821   or 48.21 %

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e)  z = -5.3   P(m) = 0    meaning there is not such value in z table is too small to compute  and difference to mean value will be 0.5  

d)  z= 1.41      P(m) =

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