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MAXImum [283]
3 years ago
8

Use linear approximation, i.e. the tangent line, to approximate √16.4 as follows: Let f(x)=√x. Find the equation of the tangent

line
Mathematics
1 answer:
Ivahew [28]3 years ago
6 0

Answer:

L(x)=\frac{1}{8}x+2\\ L(16.4)=4.05

Step-by-step explanation:

The equation for a tangent line of f(x) in the point (a,f(a)) can be calculated as:

L(x) = f(a) + f'(a)(x-a)

Where L(x) is also call a linear approximation and f'(a) is the value of the derivative of f(x) in (a,f(a)).

So, the derivative of f(x) is:

f(x)=\sqrt{x} \\f'(x)=\frac{1}{2\sqrt{x} }

Then, to find the linear approximation we are going to use the point (16, f(16)). So a is 16 and f(a) and f'(a) are calculated as:

f(16)=\sqrt{16}=4\\f'(16)=\frac{1}{2\sqrt{16} }=\frac{1}{8}

Then, replacing the values, we get that the equation of the tangent line in (16,4) is:

L(x)=4+\frac{1}{8}(x-16)\\L(x) = \frac{1}{8}x+2

Finally, the approximation for \sqrt{16.4} is:

L(16.4)=\frac{1}{8}(16.4)+2\\ L(16.4)=4.05

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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".

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Solution to the problem

Let X the random variable that represent the weights of a population, and for this case we know the distribution for X is given by:

X \sim N(5.75241,0.06281)  

Where \mu=5.75241 and \sigma=0.06281

And the best way to solve this problem is using the normal standard distribution and the z score given by:

z=\frac{x-\mu}{\sigma}

For the case when z =-2 we can do this:

-2 = \frac{X-5.75241}{0.06281}

And if we solve for X we got:

X = 5.75241 -2*0.06281 =5.6121

And for the other case when Z=2 we have:

2 = \frac{X-5.75241}{0.06281}

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X = 5.75241 +2*0.06281 =5.8886

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