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IrinaK [193]
2 years ago
4

The probability that a person in the United States has type A positive blood is 31%. Three unrelated people in the United states

are selected at random. Find the following probabilities. Round your answers to the thousandths place. A) Find the probability that all three have type A positive blood. B) Find the probability that none of the three have A positive blood. C) Find the probability that at least one of the three have A positive blood. D) Which of the events above can be considered unusual? Explain your reasoning.
Mathematics
1 answer:
svet-max [94.6K]2 years ago
4 0

Answer:

(A) Probability that all three have type A positive blood is 0.0298.

(B) Probability that none of the three have type A positive blood is 0.3285.

(C) Probability that at least one of the three have A positive blood is 0.6715.

(D) The events which can be considered unusual is of the first part (A).

Step-by-step explanation:

We are given that the probability that a person in the United States has type A positive blood is 31%.

Three unrelated people in the United states are selected at random.

The above situation can be represented through binomial distribution;

P(X = r) = \binom{n}{r} \times p^{r} \times (1-p)^{n-r} ; x = 0,1,2,3,.....

where, n = number of trials (samples) taken = 3 people

            r = number of success

           p = probability of success which in our question is probability that

                 a person in the United States has type A positive blood, i.e; 31%

Let X = <u><em>Number of people in the United States has type A positive blood</em></u>

So, X ~ Binom(n = 3, p = 0.31)

(A) Probability that all three have type A positive blood is given by = P(X = 3)

                P(X = 3)  =  \binom{3}{3} \times 0.31^{3} \times (1-0.31)^{3-3}

                               =  1 \times 0.31^{3} \times 0.69^{0}

                               =  <u>0.0298</u>

(B) Probability that none of the three have type A positive blood is given by = P(X = 0)

                P(X = 0)  =  \binom{3}{0} \times 0.31^{0} \times (1-0.31)^{3-0}

                               =  1 \times 1\times 0.69^{3}

                               =  <u>0.3285</u>

(C) Probability that at least one of the three have A positive blood is given by = P(X \geq 1)

                P(X \geq 1)  =  1 - P(X = 0)

                              =  1 - 0.3285

                              =  <u>0.6715</u>

<u></u>

(D) The events above which can be considered unusual is of the first part (A) whose probability is less than 5% because an event is considered unusual whose probability is less than 5%.

Since, the probability of all three people having type A positive blood is 2.98%, so this event is considered to be unusual.

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Step-by-step explanation:

Probability:

What you want to happen is the desired outcome.

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The probability determined from the result of an experiment.

1. What is the theoretical probability that a coin toss results in two heads showing?

In each toss, the theoretical  probability that a coin toss results in a head showing is 50%.

So for two coins, the probability is:

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The theoretical probability that a coin toss results in two heads showing is 25%.

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P = \frac{44}{100} = 0.44

The experimental probability that a coin toss results in two heads showing is 44%.

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In each toss, the theoretical  probability that a coin toss results in a tail showing is 50%.

So for two tails, the probability is:

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The theoretical probability that a coin toss results in two tails showing is 25%.

4. What is the experimental probability that a coin toss results in two tails showing?

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P = \frac{34}{100} = 0.34

The experimental probability that a coin toss results in two tails showing is 34%.

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Let The amount of heat required to raise temperature = Q Joule

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Or, Q = 9605 kilo joule

Hence The amount of heat required to raise the temperature of liquid water is 9605 kilo joule . Answer

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