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pychu [463]
3 years ago
8

Suppose that c (x )equals 7 x cubed minus 70 x squared plus 13 comma 000 x is the cost of manufacturing x items. Find a producti

on level that will minimize the average cost of making x items.
Mathematics
2 answers:
julia-pushkina [17]3 years ago
7 0

Answer:

ummmm

Step-by-step explanation:

idkk

Leno4ka [110]3 years ago
4 0

Answer:

<h3>A production level that will minimize the average cost of making x items is x=5.</h3>

Step-by-step explanation:

Given that

c(x)=7x^3-70x^2+13,000x

is the cost of manufacturing x items

<h3>To find a production level that will minimize the average cost of making x items:</h3>

The average cost per item is f(x)=\frac{c(x)}{x}

Now  we get f(x)= 7x^2-70x+13000

<h3> f(x) is continuously differentiable for all x</h3>

Here x≥0 since it represents the number of items.,

Put x=0 in 7x^2-70x+13000

For x=0 the average cost becomes 13000

f(0)=7(0)^2-70(0)+13000

=13000

<h3>∴ f(0)=13000</h3><h3>To find Local extrema :</h3>

Differentiating f(x) with respect to x

f^{\prime} (x)=14x-70=0

14x=70

x=\frac{70}{14}

<h3>∴  x=5 gives the minimum average cost .</h3><h3>At x=5 the average cost is </h3>

f(5)=7(5)^2-70(5)+13000

=12825

<h3>∴ f(5)=12825 which is smaller than for x=0 is 13000</h3><h3>∴ f(x) is decreasing between 0 and 5 and it is increasing after 5.</h3>
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Rudik [331]

Answer:

a) 0.93 - 1.96\sqrt{\frac{0.93(1-0.93)}{500}}=0.908

0.93 + 1.96\sqrt{\frac{0.93(1-0.93)}{500}}=0.952

The 95% confidence interval would be given by (0.908;0.0.952)

b) 0.21 - 2.58\sqrt{\frac{0.21(1-0.21)}{500}}=0.163

0.21 + 2.58\sqrt{\frac{0.21(1-0.21)}{500}}=0.257

The 99% confidence interval would be given by (0.163;0.0.257)

c) The margin of error for part a is:

ME= 1.96\sqrt{\frac{0.93(1-0.93)}{500}}=0.0224

And for part b is:

ME=2.58\sqrt{\frac{0.21(1-0.21)}{500}}=0.0470

So then the margin of error is larger for part b.

Step-by-step explanation:

Previous concepts

A confidence interval is "a range of values that’s likely to include a population value with a certain degree of confidence. It is often expressed a % whereby a population means lies between an upper and lower interval".  

The margin of error is the range of values below and above the sample statistic in a confidence interval.  

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".  

The population proportion have the following distribution

p \sim N(p,\sqrt{\frac{p(1-p)}{n}})

Part a

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 95% of confidence, our significance level would be given by \alpha=1-0.95=0.05 and \alpha/2 =0.025. And the critical value would be given by:

z_{\alpha/2}=-1.96, z_{1-\alpha/2}=1.96

The confidence interval for the mean is given by the following formula:  

\hat p \pm z_{\alpha/2}\sqrt{\frac{\hat p (1-\hat p)}{n}}

If we replace the values obtained we got:

0.93 - 1.96\sqrt{\frac{0.93(1-0.93)}{500}}=0.908

0.93 + 1.96\sqrt{\frac{0.93(1-0.93)}{500}}=0.952

The 95% confidence interval would be given by (0.908;0.0.952)

Part b

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 99% of confidence, our significance level would be given by \alpha=1-0.99=0.01 and \alpha/2 =0.005. And the critical value would be given by:

z_{\alpha/2}=-2.58, z_{1-\alpha/2}=2.58

The confidence interval for the mean is given by the following formula:  

\hat p \pm z_{\alpha/2}\sqrt{\frac{\hat p (1-\hat p)}{n}}

If we replace the values obtained we got:

0.21 - 2.58\sqrt{\frac{0.21(1-0.21)}{500}}=0.163

0.21 + 2.58\sqrt{\frac{0.21(1-0.21)}{500}}=0.257

The 99% confidence interval would be given by (0.163;0.0.257)

Part c

The margin of error for part a is:

ME= 1.96\sqrt{\frac{0.93(1-0.93)}{500}}=0.0224

And for part b is:

ME=2.58\sqrt{\frac{0.21(1-0.21)}{500}}=0.0470

So then the margin of error is larger for part b.

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Step-by-step explanation:

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SA = 4 * pi * 4^2

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