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loris [4]
3 years ago
14

Of the total population of the United States, 20% live in the northeast. If 200 residents of the United States are selected at r

andom, approximate the probability that at least 50 live in the northeast. Use continuity correction. ROUND YOUR ANSWER TO 4 DECIMAL PLACES.
Mathematics
1 answer:
Snezhnost [94]3 years ago
3 0

Answer:

0.0465 = 4.65% probability that at least 50 live in the northeast.

Step-by-step explanation:

I am going to use the normal approximation to the binomial to solve this question.

Binomial probability distribution

Probability of exactly x sucesses on n repeated trials, with p probability.

Can be approximated to a normal distribution, using the expected value and the standard deviation.

The expected value of the binomial distribution is:

E(X) = np

The standard deviation of the binomial distribution is:

\sqrt{V(X)} = \sqrt{np(1-p)}

Normal probability distribution

Problems of normally distributed samples can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

When we are approximating a binomial distribution to a normal one, we have that \mu = E(X), \sigma = \sqrt{V(X)}.

In this problem, we have that:

n = 200, p = 0.2

So

\mu = E(X) = np = 200*0.2 = 40

\sigma = \sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{200*0.2*0.8} = 5.65685

Approximate the probability that at least 50 live in the northeast.

Using continuity correction, this is P(X \geq 50 - 0.5) = P(X \geq 49.5, which is 1 subtracted by the pvalue of Z when X = 49.5. So

Z = \frac{X - \mu}{\sigma}

Z = \frac{49.5 - 40}{5.65685}

Z = 1.68

Z = 1.68 has a pvalue of 0.9535

1 - 0.9535 = 0.0465

0.0465 = 4.65% probability that at least 50 live in the northeast.

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3 years ago
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Answer:

The probability that a person is a Millennial given that they have tattoos is 0.5069 (50.69%) or about 0.51 (51%).

Step-by-step explanation:

We have here a case where we need to use Bayes' Theorem and all conditional probabilities related. Roughly speaking, a conditional probability is a kind of probability where an event determines the occurrence of another event. Mathematically:

\\ P(A|B) = \frac{P(A \cap B)}{P(B)}

In the case of the Bayes' Theorem, we have also a conditional probability where one event is the sum of different probabilities.

We have a series of different probabilities that we have to distinguish one from the others:

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\\ P(T|B) = 0.13

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\\ P(M) = 0.22

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\\ P(X) = 0.20

The probability of being of Boomers is:

\\ P(B) = 0.22

Therefore, the probability of the event of having a tattoo P(T) is:

\\ P(T) = P(T|M)*P(M) + P(T|X)*P(X) + P(T|B)*P(B)

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\\ P(T) = 0.204

For non-independent events that happen at the same time, we can say that the probability of occurring simultaneously is:

\\ P(M \cap T) = P(M|T)*P(T)

Or

\\ P(T \cap M) = P(T|M)*P(M)

But

\\ P(M \cap T) = P(T \cap M)

Then

\\ P(M|T)*P(T) = P(T|M)*P(M)

We are asked for the probability that a person is a Millennial given or assuming that they have tattoos or P(M | T). Solving the previous formula for the latter:

\\ P(M|T)*P(T) = P(T|M)*P(M)

\\ P(M|T) = \frac{P(T|M)*P(M)}{P(T)}

We have already know that

\\ P(T|M) = 0.47\;P(M) = 0.22\;and\;P(T) = 0.204.

Therefore

\\ P(M|T) = \frac{0.47*0.22}{0.204}

\\ P(M|T) = 0.50686 \approx 0.51

Thus, the probability that a person is a Millennial given that they have tattoos is 0.5069 (50.69%) or about 0.51 (51%).

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