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Andru [333]
2 years ago
11

The function f is continuous on the interval (0,16), and f is twice differentiable except at x=5 where the derivatives are undef

ined. Information about the first and second derivatives of f for values of x in the interval (0,16) is given in the table above. At what values of x in the interval (0,16) does the graph of f have a point of inflection?.
SAT
1 answer:
Oliga [24]2 years ago
7 0

Using it's definition, it is found that the function f(x) has a point of inflection at:

A. x = 8 only.

<h3>What are the points of inflection of a function?</h3>
  • The critical points of a function are the <u>values of x</u> for which:

f^{\prime\prime}(x) = 0

  • Additionally, there has to be a change in the sign of f^{\prime\prime}(x)

Researching the problem on the internet, it is found that:

  • For 0 < x < 5, f^{\prime\prime}(x) > 0.
  • For x = 5, f^{\prime\prime}(x) is undefined.
  • For 5 < x < 8, f^{\prime\prime}(x) < 0.
  • For x = 8, f^{\prime\prime}(x) = 0.
  • For 8 < x < 12, f^{\prime\prime}(x) > 0.
  • For x = 12, f^{\prime\prime}(x) = 0.
  • For 12 < x < 16, f^{\prime\prime}(x) > 0.

The two conditions, f^{\prime\prime}(x) = 0 and a change in the signal of f^{\prime\prime}(x) are only respected at x = 8, which is the lone inflection point.

You can learn more about points of inflection at brainly.com/question/10352137

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GuDViN [60]

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good luck :)

i hope this helps

have a nice day!

3 0
3 years ago
To compare the average amount of time that canadians and americans spend commuting, a researcher collects a sample of canadians
yKpoI14uk [10]

The standard error of the difference of sample means is 0.444

From the complete question, we have the following parameters

<u>Canadians</u>

  • Sample size = 50
  • Mean = 4.6
  • Standard deviation = 2.9

<u>Americans</u>

  • Sample size = 60
  • Mean = 5.2
  • Standard deviation = 1.3

The standard error of a sample is the quotient of the standard deviation and the square root of the sample size.

This is represented as:

SE = \frac{\sigma}{\sqrt n}

The standard error of the Canadian sample is:

SE_1 = \frac{2.9}{\sqrt{50}}

So, we have:

SE_1 = 0.41

The standard error of the American sample is:

SE_2 = \frac{1.3}{\sqrt{60}}

So, we have:

SE_2 = 0.17

The standard error of the difference of sample means is then calculated as:

SE= \sqrt{SE_1^2 + SE_2^2}

This gives

SE= \sqrt{0.41^2 + 0.17^2}

SE= \sqrt{0.197}

Take square roots

SE= 0.444

Hence, the standard error of the difference of sample means is 0.444

Read more about standard errors at:

brainly.com/question/6851971

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