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svlad2 [7]
3 years ago
15

Suppose water is added to a tank at 10 gal / min , but leakes out at the rate of 0.2 gal / min for each gallon in the tank . Wha

t is the smllest capacity the tank can have if the pocess is to continue indefinitely ?
Mathematics
1 answer:
Nana76 [90]3 years ago
7 0

Answer:

50 gallon

Step-by-step explanation:

We are given that

\frac{dV_{in}}{dt}=10 gal/min

Let V(in gallon) be the present volume of tank.

\frac{dV_{out}}{dt}=0.2 V gal/min

We have to find the smallest capacity  the tank can have if the process is to continue indefinitely.

According to question

\frac{dV}{dt}=Incoming volume-outgoing volume

\frac{dV}{dt}=10-0.2 V=-(\frac{1}{5}V-10)=-(\frac{V-50}{5})

\frac{5dV}{V-50}=-dt

Integrating on both sides

\int \frac{5dV}{V-50}=-\int dt

5ln(V-50)=-t+ln C

By using the formula

\int \frac{dx}{x}=ln x+C

ln(V-50)=\frac{1}{5}(-t+ln C)

ln(V-50)=-\frac{1}{5}t+\frac{1}{5} ln C

ln(V-50)=-\frac{1}{5} t+lnC^{\frac{1}{5}}

ln(V-50)=-\frac{1}{5}t+ln C'

Where ln C'=ln C^{\frac{1}{5}}

ln(V-50)-ln C'=-\frac{1}{5} t

ln\frac{V-50}{C'}=-\frac{1}{5}

Using the formula

ln m-ln n=ln\frac{m}{n}

\frac{V-50}{C'}=e^{-\frac{1}{5}t}

V-50=C'e^{-\frac{1}{5}t}

Substitute t=\infty

V-50=0

V=50

Hence, the smallest capacity the tank can have if the process is to continue indefinitely=50 gallon

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A veterinary researcher takes a random sample of 60 horses presenting with colic. The average age of the random sample of horses
Licemer1 [7]

Answer:

Probability that a sample mean is 12 or larger for a sample from the horse population is 0.0262.

Step-by-step explanation:

We are given that a veterinary researcher takes a random sample of 60 horses presenting with colic. The average age of the random sample of horses with colic is 12 years. The average age of all horses seen at the veterinary clinic was determined to be 10 years. The researcher also determined that the standard deviation of all horses coming to the veterinary clinic is 8 years.

So, firstly according to Central limit theorem the z score probability distribution for sample means is given by;

                    Z = \frac{\bar X-\mu}{\frac{\sigma}{\sqrt{n} } } ~ N(0,1)

where, \bar X = average age of the random sample of horses with colic = 12 yrs

            \mu = average age of all horses seen at the veterinary clinic = 10 yrs

   \sigma = standard deviation of all horses coming to the veterinary clinic = 8 yrs

         n = sample of horses = 60

So, probability that a sample mean is 12 or larger for a sample from the horse population is given by = P(\bar X \geq 12)

   P(\bar X \geq 12) = P( \frac{\bar X-\mu}{\frac{\sigma}{\sqrt{n} } } \geq \frac{12-10}{\frac{8}{\sqrt{60} } } ) = P(Z \geq 1.94) = 1 - P(Z < 1.94)

                                                 = 1 - 0.97381 = 0.0262

Therefore, probability that a sample mean is 12 or larger for a sample from the horse population is 0.0262.

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3 years ago
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