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Lisa [10]
3 years ago
11

Please help!! 10 points

Mathematics
1 answer:
hichkok12 [17]3 years ago
3 0

Answer:

We conclude that:

\:\sqrt[3]{200k^{15}}=2k^5\sqrt[3]{25}

Hence, option B is correct.

Step-by-step explanation:

Given the expression

\sqrt[3]{200k^{15}}

Apply radical rule:

\sqrt[n]{ab}=\sqrt[n]{a}\sqrt[n]{b},\:\quad \mathrm{\:assuming\:}a\ge 0,\:b\ge 0

so the expression becomes

\sqrt[3]{200k^{15}}=\sqrt[3]{200}\sqrt[3]{k^{15}}

first solving

\sqrt[3]{k^{15}}

Apply radical rule: \sqrt[n]{a^m}=a^{\frac{m}{n}},\:\quad \mathrm{\:assuming\:}a\ge 0

\sqrt[3]{k^{15}}=k^{\frac{15}{3}}=k^5

then solving

\sqrt[3]{200}

prime factorization:  200:  2³ · 5²

=\sqrt[3]{2^3\cdot \:5^2}

Apply radical rule:

\sqrt[n]{ab}=\sqrt[n]{a}\sqrt[n]{b},\:\quad \mathrm{\:assuming\:}a\ge 0,\:b\ge 0

=\sqrt[3]{2^3}\sqrt[3]{5^2}

Apply radical rule:  

\sqrt[n]{a^n}=a,\:\quad \:a\ge 0

so

=2\sqrt[3]{5^2}

Thus, the main expression becomes

\sqrt[3]{200k^{15}}=\sqrt[3]{200}\sqrt[3]{k^{15}}

              =2k^5\sqrt[3]{25}

Therefore, we conclude that:

\:\sqrt[3]{200k^{15}}=2k^5\sqrt[3]{25}

Hence, option B is correct.

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Greg has 245 cows on his farm. In the mornings, he gives them a total of 5,752 pounds of hay. If each cow eats the same amount,
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Step-by-step explanation:

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Given a normal population whose mean is 675 and whose standard deviation is 44, find each of the following: A. The probability t
NNADVOKAT [17]

Answer:

27.88% probability that a random sample of 5 has a mean between 677 and 693.

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal probability distribution

Problems of normally distributed samples are 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

The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

In this problem, we have that:

\mu = 675, \sigma = 44, n = 5, s = \frac{44}{\sqrt{5}} = 19.6774

The probability that a random sample of 5 has a mean between 677 and 693.

This is the pvalue of Z when X = 693 subtracted by the pvalue of Z when X = 677. So

X = 693

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

By the Central Limit Theorem

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

Z = \frac{693 - 675}{19.6774}

Z = 0.91

Z = 0.91 has a pvalue of 0.8186

X = 677

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

Z = \frac{677 - 675}{19.6774}

Z = 0.1

Z = 0.1 has a pvalue of 0.5398

0.8186 - 0.5398 = 0.2788

27.88% probability that a random sample of 5 has a mean between 677 and 693.

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4 years ago
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