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Luda [366]
3 years ago
14

Nicole has 15 nickels and dimes. If the value of her coins is 1.20, how many of each coin does she have?

Mathematics
1 answer:
Anton [14]3 years ago
8 0

Answer:

6 nickles and 10 dimes

Step-by-step explanation:


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4n - 30 = 7(-2n + 2) +10
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N=3
Distribute them at the numbers, add 30 to both sides of the equation then simplify. Then add 14 to both sides of the equation. Simplify again. Divide both sides of the equation by the same factor. Simplify. Answer is n=3
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Solve the equation 4 (x-3) + 5=1
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If your solving for x, x=2 
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Find the exact value of the indicated trigonometric functions for the acute angle a:
amid [387]

Tan=24/10 ≈ 2.4

using Pythagoras theorem

x²=(24)²+(10)²

x²=576+100

x²=57600

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3 years ago
Heather received a 32% discount on a $34 shirt. After the 7% sales tax was added, how much did she pay for the shirt.
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$15.17

Step-by-step explanation:

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5 0
4 years ago
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A college conducts a common test for all the students. For the Mathematics portion of this test, the scores are normally distrib
Jet001 [13]

Using the normal distribution, it is found that 58.97% of students would be expected to score between 400 and 590.

<h3>Normal Probability Distribution</h3>

The z-score of a measure X of a normally distributed variable with mean \mu and standard deviation \sigma is given by:

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

  • The z-score measures how many standard deviations the measure is above or below the mean.
  • Looking at the z-score table, the p-value associated with this z-score is found, which is the percentile of X.

The mean and the standard deviation are given, respectively, by:

\mu = 502, \sigma = 115

The proportion of students between 400 and 590 is the <u>p-value of Z when X = 590 subtracted by the p-value of Z when X = 400</u>, hence:

X = 590:

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

Z = \frac{590 - 502}{115}

Z = 0.76

Z = 0.76 has a p-value of 0.7764.

X = 400:

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

Z = \frac{400 - 502}{115}

Z = -0.89

Z = -0.89 has a p-value of 0.1867.

0.7764 - 0.1867 = 0.5897 = 58.97%.

58.97% of students would be expected to score between 400 and 590.

More can be learned about the normal distribution at brainly.com/question/27643290

#SPJ1

6 0
2 years ago
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