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avanturin [10]
2 years ago
6

Simplify the expression. (−5g5h6)2(g4h2)4

Mathematics
2 answers:
Tanzania [10]2 years ago
7 0
= 25*g^10 h^12 * g^16 h^8

= 25 g^26 h^20
Colt1911 [192]2 years ago
4 0

We have to simplify the expression here. The expression given,

(-5g^5h^6)^2(g^4h^2)^4

Now to find (-5g^5h^6)^2 we will use power of a product property. We have to distribute the power here. We will get,

(-5g^5h^6)^2 = (-5)^2(g^5)^2(h^6)^2

= 25(g^5)^2(h^6)^2

Now we will use power of a power property. If given (a^m)^n we will have to multtiply the powers and we will get a^{mn}. So we will get here,

25(g^5)^2(h^6)^2 = 25 g^{10} h^{12}

Now the next part is (g^4h^2)^4

By using power of a power property we will get,

(g^4)^4(h^2)^4 = g^{16}h^8

Now we have to multiply them.

(25g^{10}h^{12}  )(g^{16}h^8)

Now we have to use product of powers property. If we have same base them we will have to add the exponents there. The formula is (a^m)(a^n) = a^{(m+n)}. So we will get here,

25(g^{10} g^{16})(h^{12}  h^{8})

25g^{(10+16)} h^{(12+8)}

25g^{26}h^{20}

So we have got the required simplified answer here.

The simplified answer is 25g^{26}h^{20}.

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What is the slope of a line perpendicular to the line whose equation is 2x+8y -64 Fully reduce your answer.
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3 0
2 years ago
A quality control manager at an auto plant measures the paint thickness on newly painted cars. A certain part that they paint ha
Scorpion4ik [409]

Answer:

78.88% probability that the mean thickness in the sample of 100 points is within 0.1 mm of the target value

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 = 2, \sigma = 0.8, n = 100, s = \frac{0.8}{\sqrt{100}} = 0.08

What is the probability that the mean thickness in the sample of 100 points is within 0.1 mm of the target value?

This is the pvalue of Z when X = 2 + 0.1 = 2.1 subtracted by the pvalue of Z when X = 2 - 0.1 = 1.9. So

X = 2.1

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

By the Central Limit Theorem

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

Z = \frac{2.1 - 2}{0.08}

Z = 1.25

Z = 1.25 has a pvalue of 0.8944

X = 1.9

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

Z = \frac{1.9 - 2}{0.08}

Z = -1.25

Z = -1.25 has a pvalue of 0.1056

0.8944 - 0.1056 = 0.7888

78.88% probability that the mean thickness in the sample of 100 points is within 0.1 mm of the target value

8 0
2 years ago
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