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soldier1979 [14.2K]
2 years ago
12

Suppose you have a cube of length s. The volume of that cube is V = s^3. Now let's suppose the dimensions of that cube (and henc

e its volume) depend on time. We are wondering about the relationship between the growth of the length versus the growth of the volume. Suppose
s(t) = t.

Then

s'(t) = t______________ and V'(t) = t ___________

Next suppose V(t) = t.

s'(t) = t______________ and V'(t) = t____________
Mathematics
1 answer:
Grace [21]2 years ago
7 0

Answer:

Part 1

s'(t)=1

V'(t)=3t^2

Part 2

s'(t)=\frac{1}{3\sqrt[3]{t^2}}

V'(t)=1

Step-by-step explanation:

As stated in the question, if s is the length of a cube, its volume is

V(s)=s^3

When s changes in time, the volume will change too. The challenge here is to find the growth of the volume in terms of those changes in length

Part 1

s(t)=t

The change of s with respect to time is found by differentiating the relation to get

s'=1

The volume will also change, and its derivative is

V'(s)=3s^2.s'

Since s'=1

V'(s)=3s^2

How s=t

V'(t)=3t^2

Part 2

V(t)=t

Replacing this into the formula for V(s)

V(s)=s^3=t

So we have

s=\sqrt[3]{t}=t^{\frac{1}{3}}

Computing the derivatives:

V(t)=t =>

V'(t)=1

s'(t)=\frac{1}{3}t^{-\frac{2}{3}}=\frac{1}{3\sqrt[3]{t^2}}

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Step-by-step explanation:

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Hope I helped!

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Answer:

z=\frac{0.21 -0.15}{\sqrt{\frac{0.15(1-0.15)}{100}}}=1.68  

Step-by-step explanation:

Information provided

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X=21 represent the number of bags overfilled

\hat p=\frac{21}{100}=0.21 estimated proportion of overfilled bags

p_o=0.15 is the value that we want to test

z would represent the statistic

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The statistic for this case is:

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Answer:

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Step-by-step explanation:

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The confidence interval represents an interval that we can guarantee that the target variable will be within this interval for a given confidence level.  

The confidence interval is given by

CI = \bar{x} + t_{\alpha/2}(\frac{\sigma}{\sqrt{n} } ) \\

Where \bar{x} is the mean weight \sigma is the standard deviation t_{\alpha/2} is the critical value from t-table and n is the sample size.

The term t_{\alpha/2}(\frac{\sigma}{\sqrt{n} } ) is known as margin of error.

As the sample size is decreased the corresponding margin of error increases which results in wider confidence interval which means smaller precision.

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We can say with 95% confidence that the true mean weight of the rock is within the interval of (25.2, 29.1).

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