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Sedaia [141]
3 years ago
15

Greatest to least 1/2 1/5 3/8

Mathematics
2 answers:
Burka [1]3 years ago
5 0
Greatest to Least: 1/2, 3/8, 1/5
Liono4ka [1.6K]3 years ago
4 0

Answer:

1/5 3/8 1/2

Step-by-step explanation:

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A publisher requires 2⁄3 of a page of advertisements for every 5 pages in a magazine. If a magazine has 98 pages, to the nearest
rjkz [21]

Let x be the number of pages of advertisements.

Write a proportion from the table:

\dfrac{2}{3} of a page of advertisment - 5 pages in a magazine

x pages of advertisment - 98 pages in a magazine,

then

\dfrac{\dfrac{2}{3}}{x}=\dfrac{5}{98}.

Find x:

x=\dfrac{\dfrac{2}{3}\cdot 98}{5}=\dfrac{196}{15}=13\dfrac{1}{13}.

Answer: 13 whole pages and \dfrac{1}{13} of 14th page are advertisments, so 14 pages contain advertisments.

3 0
3 years ago
What is the quotient if 3/15 of 40 is divided by 7/8 of 4/14?
GrogVix [38]

Answer:

32

Step-by-step explanation:

3/15 * 40/7/8 *4/14

8/ 1/4 = 32

5 0
3 years ago
Read 2 more answers
According to an NRF survey conducted by BIGresearch, the average family spends about $237 on electronics (computers, cell phones
schepotkina [342]

Answer:

7.64% probability that they spend less than $160 on back-to-college electronics

Step-by-step explanation:

Problems of normally distributed samples can be 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.

In this problem, we have that:

\mu = 237, \sigma = 54

Probability that they spend less than $160 on back-to-college electronics

This is the pvalue of Z when X = 160. So

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

Z = \frac{160 - 237}{54}

Z = -1.43

Z = -1.43 has a pvalue of 0.0763

7.64% probability that they spend less than $160 on back-to-college electronics

4 0
3 years ago
HELP!
kozerog [31]

Answer:

144

Step-by-step explanation:

................

3 0
3 years ago
Read 2 more answers
36×78<br><img src="https://tex.z-dn.net/?f=5551%20%5Ctimes%20696" id="TexFormula1" title="5551 \times 696" alt="5551 \times 696"
KATRIN_1 [288]
If the question is asking what 36x78 is the answer is 2,808
3 0
3 years ago
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