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il63 [147K]
3 years ago
11

Simplify the expression.Write your answer without negative exponents. NEED AN ANSWER ASAP​

Mathematics
2 answers:
Westkost [7]3 years ago
8 0

Answer:

<h2>-  \frac{3 {b}^{4} }{ {a}^{6} }</h2>

Step-by-step explanation:

\frac{ - 18 {a}^{ - 8} {b}^{ - 3}  }{6 {a}^{ - 2} {b}^{ - 7}  }

Reduce the fraction with 6

\frac{ - 3 {a}^{ - 8} {b}^{ - 3}  }{ {a}^{ - 2}  {b}^{ - 7} }

Simplify the expression

\frac{ - 3 {b}^{4} }{ {a}^{6} }

Use \frac{ - a}{b}  =  \frac{a}{ - b}  =  -  \frac{a}{b \: } to rewrite the fraction

-  \frac{3 {b}^{4} }{ {a}^{6} }

Hope this helps...

Best regards!!

harina [27]3 years ago
5 0

Answer:

\boxed{\frac{-3b^4 }{a^6 }}

Step-by-step explanation:

\frac{-18a^{-8}b^{-3}}{6a^{-2}b^{-7}}

\frac{-18}{6} \times \frac{a^{-8}}{a^{-2}}  \times \frac{b^{-3}}{b^{-7}}

-3 \times \frac{a^{-8}}{a^{-2}}  \times \frac{b^{-3}}{b^{-7}}

Apply the law of exponents, when dividing exponents with same base, we subtract the exponents.

-3 \times a^{-8-(-2)}  \times b^{-3- (-7)}

-3 \times a^{-8+2}  \times b^{-3+7}

-3 \times a^{-6}  \times b^{4}

{-3a^{-6}b^{4}}

The answer should be without negative exponents.

a^{-6}=\frac{1}{a^6 }

\frac{-3b^4 }{a^6 }

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Answer:

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Step-by-step explanation:

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In 2008 the Better Business Bureau settled 75% of complaints they received (USA Today, March 2, 2009). Suppose you have been hir
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Answer:

a) the sampling distribution of the sample proportion is approximately normal with mean 0.75 and standard deviation is 0.0204

b) the probability that the sample proportion will be within 0.04 of the population proportion is 0.95

c) sampling distribution of the sample proportion is approximately normal with mean 0.75 and standard deviation is 0.03061

d) the probability that the sample proportion will be within 0.04 of the population proportion is 0.8088

e) gain in precision is 0.1402.

Step-by-step explanation:

a) Let p represent the

Given that

population proportion of complaints settled for new car dealers p = 0.75.

and n = 450

mean of the sampling distribution of the sample proportion is the population proportion p

i.e  up° = p

mean of the sampling distribution of the sample proportion p° = 0.75

so standard error of the proportion is;

αp° = √(p( 1-p ) / n)

we substitute

αp° = √(0.75 ( 1-0.75 ) / 450)

=√(0.1875 / 450

= √0.0004166

= 0.0204

therefore the sampling distribution of the sample proportion is approximately normal with mean 0.75 and standard deviation is 0.0204

b)

(p° - p) is within 0.04

so lets consider

p ( -0.04 ≤ p° - p ≤ 0.04) = p ( ( -0.04/√(0.75 ( 1-0.75 ) / 450)) ≤ z ≤ ( 0.04/√(0.75 ( 1-0.75 ) / 450))

= p( -0.04/0.0204 ≤ z ≤ 0.04/0.0204)

= p ( -1/96 ≤ z ≤ 1.96 )

= p( z < 1.96 ) - p( z < -1.96 )

now from the S-normal table,

area of the right of z = 1.96 = 0.9750

area of the left of z = - 1.96 = 0.0250

p( -0.04 ≤ p°- p ≤ 0.04)  =  p( z < 1.96 ) - p( z < -1.96 ) = 0.9750 - 0.0250

= 0.95

therefore the probability that the sample proportion will be within 0.04 of the population proportion is 0.95

c)

population proportion of complaints settled for new car dealers p = 0.75.

n = 200

mean of the sampling distribution of the sample proportion p°.

i.e up° = p

mean of the sampling distribution of the sample proportion p° = 0.75

Sampling distribution of the sample proportion p is determined as follows

αp° = √(p( 1-p ) / n)

we substitute

αp° = √(0.75 ( 1-0.75 ) / 200)

=√(0.1875 / 200

= √0.0009375

= 0.03061

therefore sampling distribution of the sample proportion is approximately normal with mean 0.75 and standard deviation is 0.03061

d)

(p° - p) is within 0.04

so lets consider

p ( -0.04 ≤ p° - p ≤ 0.04) = p ( ( -0.04/√(0.75 ( 1-0.75 ) / 200)) ≤ z ≤ ( 0.04/√(0.75 ( 1-0.75 ) / 200))

= p( -0.04/0.03061≤ z ≤ 0.04/0.03061)

= p ( -1.31 ≤ z ≤ 1.31 )

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now from the S-normal table,

area of the right of z = 1.31 = 0.9049

area of the left of z = - 1.31 = 0.0951

p( -0.04 ≤ p°- p ≤ 0.04)  =  p( z < 1.31 ) - p( z < -1.31 ) = 0.9049 - 0.0951

= 0.8098

therefore the probability that the sample proportion will be within 0.04 of the population proportion is 0.8088

e)  

From b), the sample proportion is within 0.04 of the population proportion; with the sample of 450 complaints involving new car dealers is 0.95.

sample proportion is within 0.04 of the population proportion; with the sample of 200 complaints involving new car dealers is 0.8098.

measured by the increase in probability, gain in precision occurs by taking the larger sample in part (b)

i.e

Gain in precision will be;

0.9500 − 0.8098

= 0.1402

therefore  gain in precision is 0.1402.

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Step-by-step explanation:

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The variable n represents the number of bikes in a shipping container. The weight of the container in pounds, including the
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Given that :-

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