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Ber [7]
3 years ago
15

A house painter has 1 gallon of paint that is 35% yellow and another gallon that is 60% yellow. The painter needs a gallon of pa

int that is 45% yellow. How much of each color should the painter use?
Mathematics
1 answer:
Anna11 [10]3 years ago
7 0

Let a be the volume of the 35% yellow paint the painter will use, and b the volume of the 60% yellow paint.

The painter wants to end up with 1 gal of paint, so

a+b=1

Each gallon of 35% yellow paint a contributes 0.35 gal of yellow paint, while each gallon of 60% yellow paint b contributes 0.60 gal of yellow paint. The painter wants to end up with a 45% mixture, so that

0.35a+0.60b=0.45(a+b)=0.45

Solve the system and you get

a=0.6,b=0.4

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in a pile of 1000 colored candies, you'll find 200 of which are blue

Step-by-step explanation:

135 ÷ 27 = 5

ratio: 5:1

1000÷5 = 200

feel free to correct me if I'm wrong

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A grading scale is set up for 1000 students' test scores. It assumes the
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Answer:

464 students will score between 48 and 75. Using the z-distribution, we measure how many standard deviations each score is from the mean, then find the p-value associated with each score to find the proportion, and from the proportion, we find how many out of 1000.

Step-by-step explanation:

Normal Probability Distribution:

Problems of normal distributions can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the z-score of a measure X is given by:

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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 p-value, we get the probability that the value of the measure is greater than X.

It assumes the scores are normally distributed with a mean score of 75 and a standard deviation of 15.

This means that \mu = 75, \sigma = 15

How many students will score between 48 and 75?

First we find the proportion, which is the pvalue of Z when X = 75 subtracted by the pvalue of Z when X = 48. So

X = 75

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

Z = \frac{75 - 75}{15}

Z = 0

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Z = -1.8

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1 - 0.0359 = 0.4641

Out of 1000:

0.4641*1000 = 464

464 students will score between 48 and 75. Using the z-distribution, we measure how many standard deviations each score is from the mean, then find the p-value associated with each score to find the proportion, and from the proportion, we find how many out of 1000.

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