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cupoosta [38]
4 years ago
5

Four children randomly line up, single file. What is the probability that they are in height order, with the shortest child in f

ront? All of the children are of different heights.
A 1/4
B 1/256
C 1/16
D 1/24
Mathematics
1 answer:
8_murik_8 [283]4 years ago
6 0

Answer:

the answer is D.  1/24

Step-by-step explanation:

The number of ways for the children to line up is 4!=4×3×2×1=24 -- there are 4 choices for who is first in line, then 3 for who is second, etc. Only one of these lines has the children in the order specified.

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Step-by-step explanation:

n is perpendicular. - 1/(2/5) = - 5/2. n is the negative reciprocal of the given line.

m is neither.

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Step-by-step explanation:

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4 years ago
Find the value of X please
vaieri [72.5K]

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x=2/3

Step-by-step explanation:

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3 years ago
Solve to find the value of x. 40-x/3 = 4+x
Bad White [126]
\frac{40-x}{3} = 4 + x \\ \\ 40 - x = 12 + 3x \\ \\ 40 = 12 + 3x + x \\ \\ 40 = 12 + 4x \\ \\ 40 - 12 = 4x \\ \\ 28 = 4x \\ \\  \frac{28}{4} = x \\ \\ 7 = x \\ \\ x = 7 \\ \\ Answer: \fbox {x = 7}
4 0
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Read 2 more answers
High blood pressure has been identified as a risk factor for heart attacks and strokes. The proportion of U.S. adults with high
KengaRu [80]

Answer:

1. It is not appropriate to use the normal curve, since np = 7.4 < 10.

2. The probability that more than 32% of the people in this sample have high blood pressure is 0.0033 = 0.33%.

Step-by-step explanation:

Binomial approximation to the normal:

The binomial approximation to the normal can be used if:

np >= 10 and n(1-p) >= 10

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 distributions 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.

Central Limit Theorem

For a proportion p in a sample of size n, the sampling distribution of the sample proportion will be approximately normal with mean \mu = p and standard deviation s = \sqrt{\frac{p(1-p)}{n}}

The proportion of U.S. adults with high blood pressure is 0.2. A sample of 37 U.S. adults is chosen.

This means, respectively, that p = 0.2, n = 37

Is it appropriate to use the normal approximation to find the probability that more than 48% of the people in the sample have high blood pressure?

np = 37*0.2 = 7.4 < 10

So not appropriate.

It is not appropriate to use the normal curve, since np = 7.4 < 10.

Part 2:

Now n = 82, 82*0.2 = 16.4 > 10, so ok

Mean and standard deviation:

By the Central Limit Theorem,

Mean \mu = p = 0.2

Standard deviation s = \sqrt{\frac{0.2*0.8}{82}} = 0.0442

Find the probability that more than 32% of the people in this sample have high blood pressure.

This probability is 1 subtracted by the pvalue of Z when X = 0.32. So

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

By the Central Limit Theorem

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

Z = \frac{0.32 - 0.2}{0.0442]

Z = 2.72

Z = 2.72 has a pvalue of 0.9967.

1 - 0.9967 = 0.0033

The probability that more than 32% of the people in this sample have high blood pressure is 0.0033 = 0.33%.

5 0
4 years ago
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