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3 years ago

The area of the rectangle in the figure is 24a2b3 square units. FIND the width of the rectangle

Mathematics

1 answer:

KonstantinChe [14]3 years ago

5 0

I believe that the answer to this question would be 2(12a + b^3). Wait for someone else for clarification. :)

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3/10 multiply to find an equivalent fraction

SCORPION-xisa [38]

<span>You multiply both the numerator and the denominator by the same number (but not 1 or 0), but don't simplify. 3/10 is your fraction, and you could multiply the top and bottom numbers by 2 to get 6/20.

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3 years ago

Name the vertical angles in the diagram below:

SVETLANKA909090 [29]

Hey there!

The vertical angles in the diagram shown are 2 and 3, and 1 and 4, because they are formed by 2 intersecting lines and are across from eachother.

Hope it helps and have a good day!

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2 years ago

What is 25,000,000 x 25,0000 = what

romanna [79]

Answer: 6.25^12

Step-by-step explanation:

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3 years ago

Read 2 more answers

Given f(x) = 2x - 1, find the value of f(0).

Serggg [28]

F(x) = 2x - 1

subtitute x = 0 to the equation:

f(0) = 2· 0 -1 = 0 - 1 = -1

f(0) = -1

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3 years ago

Suppose 52% of the population has a college degree. If a random sample of size 563563 is selected, what is the probability that

amm1812

Answer:

The value is $P(| \^ p - p| < 0.05 ) = 0.9822$

Step-by-step explanation:

From the question we are told that

The population proportion is $p = 0.52$

The sample size is n = 563

Generally the population mean of the sampling distribution is mathematically represented as

$\mu_{x} = p = 0.52$

Generally the standard deviation of the sampling distribution is mathematically evaluated as

$\sigma = \sqrt{\frac{ p(1- p)}{n} }$

=> $\sigma = \sqrt{\frac{ 0.52 (1- 0.52 )}{563} }$

=> $\sigma = 0.02106$

Generally the probability that the proportion of persons with a college degree will differ from the population proportion by less than 5% is mathematically represented as

$P(| \^ p - p| < 0.05 ) = P( - (0.05 - 0.52 ) < \^ p < (0.05 + 0.52 ))$

Here $\^ p$ is the sample proportion of persons with a college degree.

$P( - (0.05 - 0.52 ) < \^ p < (0.05 + 0.52 )) = P(\frac{[[0.05 -0.52]]- 0.52}{0.02106} < \frac{[\^p - p] - p}{\sigma } < \frac{[[0.05 -0.52]] + 0.52}{0.02106} )$