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lapo4ka [179]
3 years ago
10

According to Boyle's Law, if the temperature of a confined gas is held fixed, then the product of the pressure P and the volume

V is a constant, suppose that, for a certain gas, PV=800 where P is measured in pounds per square inch and V is measured in cubic inches. Answer the following: (this is calculus)
A) Find the average rate of change of P as V increases from 200in^3 to 250in^3.
B) Express V as a function of P and show that the instantaneous rate of change of V with respect to P is inversely proportional to the square of P.
Mathematics
1 answer:
Bad White [126]3 years ago
7 0

If <em>PV</em> = 800, then <em>P</em> can be written as a function of <em>V</em>,

<em>P(V)</em> = 800 / <em>V</em>

(a) The average rate of change of <em>P</em> as <em>V</em> increases from 200 to 250 in³ is then

(<em>P</em> (250) - <em>P</em> (200)) / (250 in³ - 200 in³) = (3.2 lb/in² - 4lb/in²) / (50 in³)

... = -0.016 (lb/in²)/in³

(Or -0.016 lb/in⁵, but I figure writing the rate as (units of pressure) per (unit volume) makes more sense.)

(b) We can also write <em>V</em> as a function of <em>P</em> :

<em>V(P)</em> = 800 / <em>P</em>

Take the derivative:

<em>V'(P)</em> = - 800 / <em>P</em>²

which immediately demonstrates that <em>V'(P)</em> ∝ 1 / <em>P</em>², as required. (The fish-looking symbol, ∝, means "is proportional to".)

If differentiating is supposed to be more involved, you can use the limit definition:

V'(P)=\displaystyle\lim_{h\to0}\frac{V(P+h)-V(P)}h

V'(P)=\displaystyle\lim_{h\to0}\frac{\frac{800}{P+h}-\frac{800}P}h

V'(P)=\displaystyle\lim_{h\to0}\frac{\frac{800P-800(P+h)}{P(P+h)}}h

V'(P)=\displaystyle800\lim_{h\to0}\frac{-\frac h{P(P+h)}}h

V'(P)=\displaystyle-800\lim_{h\to0}\frac1{P(P+h)}=-\dfrac{800}{P^2}

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Given data

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Step-by-step explanation:

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Step-by-step explanation:

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The null hypothesis is  H_o  :  p=  0.48

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   Generally the test statistics is mathematically evaluated as

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The  p-value is mathematically represented as

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Given that  p-value  >  \alpha  we fail to reject the null hypothesis

   Hence we can conclude that there is no sufficient evidence to support the executive claim

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