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Oliga [24]
3 years ago
5

Suppose the population of a certain city is 4164 thousand. It is expected to decrease to 3460 thousand in 50 years. Find the per

cent decrease.
Mathematics
1 answer:
lilavasa [31]3 years ago
4 0

Answer:

16.9%

Step-by-step explanation:

Given data

Initial populatation= 4164

Final population=  3460

Percent decrease= initial-final/initial*100

Percent decrease=  4164-3460/4164*100

Percent decrease= 704/4164*100

Percent decrease= 0.1690*100

Percent decrease= 16.9%

Hence the decrease is 16.9%

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1.25 + 0.75x = 5.45 <== ur equation
0.75x = 5.45 - 1.25
0.75x = 4.20
x = 4.20 / 0.75
x = 5.6.....the maximum number of snacks he can buy is 5 <==


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Answer:

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Step-by-step explanation:

You know that the large triangle is 180 and there is a smaller triangle that is also 180. You are also provided an angle is 90 and another is 62.

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A brewery has a beer dispensing machine that dispenses beer into the company's 12 ounce bottles. The distribution for the amount
-Dominant- [34]

Answer:

The company should use a mean of 12.37 ounces.

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:

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

The distribution for the amount of beer dispensed by the machine follows a normal distribution with a standard deviation of 0.17 ounce.

This means that \sigma = 0.17

The company can control the mean amount of beer dispensed by the machine. What value of the mean should the company use if it wants to guarantee that 98.5% of the bottles contain at least 12 ounces (the amount on the label)?

This is \mu, considering that when X = 12, Z has a p-value of 1 - 0.985 = 0.015, so when X = 12, Z = -2.17.

Then

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

-2.17 = \frac{12 - \mu}{0.17}

12 - \mu = -2.17*0.17

\mu = 12 + 2.17*0.17

\mu = 12.37

The company should use a mean of 12.37 ounces.

7 0
3 years ago
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