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4 years ago

A pink crayon is made with

Mathematics

2 answers:

Keith_Richards [23]4 years ago

6 0

Answer:

On a basic level, crayons consist of paraffin wax and non-toxic color pigments. The pigments typically come in a powdered form, with the specific colors and amounts determined by the final color of the crayon being produced. Crayons may also contain an additive to improve the strength of the crayon.

Step-by-step explanation:

vlabodo [156]4 years ago

6 0

Answer:

wax

Step-by-step explanation:

A pink crayon is made with 12 mL of red wax for every 5 mL of white wax.

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devlian [24]

Answer:

∠B ≈ 56.25°

Step-by-step explanation:

Since the triangle is right use the cosine ratio to solve for B

cosB = $\frac{adjacent}{hypotenuse}$ = $\frac{BC}{AB}$ = $\frac{5}{9}$ , thus

B = $cos^{-1}$ ( $\frac{5}{9}$ ) ≈ 56.25°

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3 years ago

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3 years ago

If the altitude of a star is 37 degrees, what is the angle between the star and zenith?

scoundrel [369]

Answer:

Step-by-step explanation:

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3 years ago

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Gnoma [55]

Answer:

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Step-by-step explanation:

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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.

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