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prisoha [69]
2 years ago
13

A vehicle factory manufactures cars. The unit cost C (the cost in dollars to make each car) depends on the number of cars made.

If x cars are made, then the unit cost is given by the function C(x) = 0.9x^2 -234x + 23,194 . How many cars must be made to minimize the unit cost?
Do not round your answer.
Mathematics
1 answer:
ella [17]2 years ago
4 0

Answer:

130 cars.

Step-by-step explanation:

The cost function is given by:

C(x) = 0.9x^2 -234x + 23,194; where x is the input and C is the total cost of production.

To find the minimum the unit cost, there must be a certain number of cars which have to be produced. To find that, take the first derivative of C(x) with respect to x:

C'(x) = 2(0.9x) - 234 = 1.8x - 234.

To minimize the cost, put C'(x) = 0. Therefore:

1.8x - 234 = 0.

Solving for x gives:

1.8x = 234.

x = 234/1.8.

x = 130 units of cars.

To check whether the number of cars are minimum, the second derivative of C(x) with respect to x:

C''(x) = 1.8. Since 1.8 > 0, this shows that x = 130 is the minimum value.

Therefore, the cars to be made to minimize the unit cost = 130 cars!!!

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Step-by-step explanation:

The steps are as follows :

1. The problem can be described as an equation

x +  \frac{1}{2}x +  \frac{1}{8}x = 312

2. Convert all values on the left side into their equivalent fractional values

\frac{8}{8}x  +  \frac{4}{8}x +  \frac{1}{8} x = 312

3. Combine like terms

\frac{13}{8} x = 312

4. Multiply both sides by the reciprocal of 13/8 to isolate variable X

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\frac{8}{13} \times  \frac{13}{8}x  = 312 \: \times  \frac{8}{13}

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6. Check answer by using it in the original equation

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2 years ago
If a hurricane was headed your way, would you evacuate? The headline of a press release states, "Thirty-four Percent of People o
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Step-by-step explanation:

1) Notation and definitions

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n=6138 random sample taken

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The population proportion have the following distribution

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2) Confidence interval

In order to find the critical value we need to take in count that we are finding the interval for a proportion, so on this case we need to use the z distribution. Since our interval is at 98% of confidence, our significance level would be given by \alpha=1-0.98=0.02 and \alpha/2 =0.01. And the critical value would be given by:

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