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2 years ago

Convert each of the following into fraction(a)32%

Mathematics

1 answer:

Zinaida [17]2 years ago

7 0

Answer:

8/25

Step-by-step explanation:

So 32% is essentially 32/100 now we can divide that even more so now we have 16/50(we divided it in half) but we can divide that again, so now we have 8/25 :)

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The cost of a sweater at a clothing store was $35. The sweater went on sale at a discount of 20% off the original price. What is

Tpy6a [65]

The answer is 28$ :))

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3 years ago

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What is another way to write the expression p • (10 - 2)

Tanya [424]

Answer:

(p • 10) - (p • 2)

Step-by-step explanation:

To be doubly sure of your answer, do the actual mult.:

p(10-2) = 10p - 2p. This is equivalent to (p • 10) - (p • 2) (Answer D).

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3 years ago

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Order these numbers from least to greatest <br> {13.7, 13,7/100 –13,17/100 –13.2}

Yuri [45]

Answer:

{13.7, 13,7/100 –13,17/100 –13.2}

Step-by-step explanation:

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2 years ago

(-3,600,000,000)x(0.00000824)

Nadusha1986 [10]

-29664 is the correct answer. This mostly deals with the zeros and crossing them off

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2 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.

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