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RideAnS [48]
3 years ago
9

A recent study reported that the prevalence of hyperlipidemia (defined as total cholesterol over 200) is 30% in children 2-6 yea

rs of age. If 12 children are analyzed.
Required:
a. What is the probability that at least 3 are hyperlipidemic?
b. What is the probability that exactly 3 are hyperlipidemic?
c. How many would be expected to meet the criteria for hyperlipidemia?
Mathematics
1 answer:
n200080 [17]3 years ago
6 0

Answer:

(a) 0.7472

(b) 0.2397

(c) 3.6

Step-by-step explanation:

Let <em>X</em> denote the number of children who are hyperlipidemic.

The proportion of children who are hyperlipidemic is, <em>p</em> = 0.30.

A random sample of <em>n</em> = 12 children are analyzed.

Every child is independent of the others to be expected to meet the criteria for hyperlipidemia.

The random variable <em>X</em> follows a binomial distribution with parameters <em>n</em> = 12 and <em>p</em> = 0.30.

(a)

Compute the probability that at least 3 are hyperlipidemic as follows:

P(X\geq 3)=1-P(X

Thus, the probability that at least 3 are hyperlipidemic is 0.7472.

(b)

Compute the probability that exactly 3 are hyperlipidemic as follows:

P(X=3)={12\choose 3}(0.30)^{3}(0.70)^{12-3}\\\\=220\times 0.027\times 0.040353607\\\\=0.23970042558\\\\\approx 0.2397

Thus, the probability that exactly 3 are hyperlipidemic is 0.2397.

(c)

Compute the expected number of children who would meet the criteria for hyperlipidemia as follows:

E(X)=np=12\times 0.30=3.6

Thus, 3.6 children would be expected to meet the criteria for hyperlipidemia.

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Answer:

a) 0.4658 = 46.58% probability that the chosen ball is blue

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Step-by-step explanation:

A probability is the number of desired outcomes divided by the number of total outcomes.

Conditional Probability

We use the conditional probability formula to solve this question. It is

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

In which

P(B|A) is the probability of event B happening, given that A happened.

P(A \cap B) is the probability of both A and B happening.

P(A) is the probability of A happening.

a. What is the probability that the chosen ball is blue?

6/20 = 0.3 of 0.5(first urn)

12/19 = 0.6316 out of 0.5(second urn).

So

P(A) = 0.3*0.5 + 0.6316*0.5 = 0.4658

0.4658 = 46.58% probability that the chosen ball is blue.

b. If the chosen ball is blue, what is the probability that it came from the first urn?

Event A: Blue Ball

Event B: From first urn

From item a., P(A) = 0.4658

Probability of blue ball from first urn:

0.3 of 0.5. So

P(A \cap B) = 0.3*0.5 = 0.15

Probability:

P(B|A) = \frac{P(A \cap B)}{P(A)} = \frac{0.15}{0.4658} = 0.322

0.322 = 32.2% probability that it came from the first urn

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Answer:

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Step-by-step explanation:

The standard deviation of the sampling distribution of sample mean (\bar x) is known as the standard error (\sigma_{\bar x}).

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The information provided is:

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Compute the standard deviation of the sample mean as follows:

\sigma_{\bar x}=\frac{\sigma}{\sqrt{n}}

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Thus, the standard deviation of the sample mean is 0.3333.

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