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mezya [45]
2 years ago
14

Scotland has been a member of the United Kingdom since the 1707 Act of Union. In a recent poll, 38% of Scots would vote in favor

of leaving the U.K. A random sample of 135 Scots was selected. What is the probability that between 50 and 60 of them were in favor of leaving the U.K.?
Mathematics
1 answer:
Pani-rosa [81]2 years ago
7 0

Answer:

57.39% probability that between 50 and 60 of them were in favor of leaving the U.K.

Step-by-step explanation:

I am going to use the normal approximmation 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 = 135, p = 0.38

So

\mu = E(X) = np = 135*0.38 = 51.3

\sigma = \sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{135*0.38*0.62} = 5.6397

What is the probability that between 50 and 60 of them were in favor of leaving the U.K.?

Using continuity correction, this is P(50-0.5 \leq X \leq 60 + 0.5) = P(49.5 \leq X \leq 60.5). So this is the pvalue of Z when X = 60.5 subtracted by the pvalue of Z when X = 49.5. So

X = 60.5

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

Z = \frac{60.5 - 51.3}{5.6397}

Z = 1.63

Z = 1.63 has a pvalue of 0.9484

X = 49.5

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

Z = \frac{49.5 - 51.3}{5.6397}

Z = -0.32

Z = -0.32 has a pvalue of 0.3745

0.9484 - 0.3745 = 0.5739

57.39% probability that between 50 and 60 of them were in favor of leaving the U.K.

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Lera25 [3.4K]

Answer:

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Step-by-step explanation:

This question is solved using a system of equations.

I am going to say that:

Miki has x stickers.

Ken has y stickers.

The ratio of the number of Miki's stickers to the number of Ken's stickers was 8:7.

This means that \frac{x}{y} = \frac{8}{7}, that is: 7x = 8y, or x = \frac{8y}{7}

After Miki gave Ken 18 of her stickers, they had the same number of stickers.

This means that:

x - 18 = y + 18

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Answer:

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Step-by-step explanation:

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Answer:

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Step-by-step explanation:

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Answer:
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Explanation:
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This rule is illustrated in the attached image.

Now, we have:
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