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vazorg [7]
2 years ago
7

A certain cylindrical tank holds 20,000 gallons of water which can be drained from the bottom of the tank in 20 minutes the volu

me tea of water remaining in the tank after T minutes is given by the function (v)= 20,000(1-(t/20)^2 where B is in gallons zero is less than or equal to T which less than or equal to 20 is in a minutes and T equals zero represent the instant the tank starts draining how fast is the water draining 4 1/2 minutes after it begins

Mathematics
1 answer:
zalisa [80]2 years ago
4 0
Given that the volume of water remaining in the tank after t minutes is given by the function

V(t)=20,000\left(1- \frac{t}{20} \right)^2

where V is in gallons, 0 ≤ t ≤ 20 is in minutes, and t = 0 represents the instant the tank starts draining.

The rate at which water is draining four and a half minutes after it begins is given by

\left.
 \frac{dV}{dt} \right|_{t=4 \frac{1}{2} = \frac{9}{2} 
}=\left[40,000\left(1- \frac{t}{20} \right)\left(- \frac{1}{20} 
\right)\right]_{t= \frac{9}{2} } \\  \\ =\left[-2,000\left(1- 
\frac{t}{20} \right)\right]_{t= \frac{9}{2} }=-2,000\left(1- 
\frac{4.5}{20} \right) \\  \\ =-2,000(1-0.225)=-2,000(0.775)=-1,550\, 
gallons\ per\ minute

Therefore, the water is draining at a rate of 1,550 gallons per minute four ans a half minutes after it begins.

Answer option E is the correct answer.
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7 0
3 years ago
math problem Just before a referendum on a school budget, a local newspaper polls 400 voters in an attempt to predict whether th
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Answer:

The conditions necessary for the analysis are met.

The probability the newspaper’s sample will lead them to predict defeat is 0.7881

Step-by-step explanation:

We are given;

population proportion; μ = 52% = 0.52

Sample size;n = 400

The conditions are;

10% conditon: sample size is less than 10% of the population size

Success or failure condition; np = 400 x 0.52 = 208 and n(1 - p) = 400(1 - 0.52) = 192.

Both values are greater than 10

Randomization condition; we assume that the voters were randomly selected.

So the conditions are met.

Now, the standard deviation is gotten from;

σ = √((p(1 - p)/n)

where;

p is the population proportion

n is the sample size

σ is standard deviation

Thus;

σ = √((0.52(1 - 0.52)/400)

σ = √((0.52(0.48)/400)

σ = 0.025

Now to find the z-value, we'll use;

P(p^ > 0.5) = P(z > (x - μ)/σ)

Thus;

P(p^ > 0.5) = P(z > (0.5 - 0.52)/0.025)

This gives;

P(p^ > 0.5) = P(z > - 0.8)

This gives;

P(p^ > 0.5) = 1 - P(z < -0.8)

From the table attached we have a z value of 0.21186

Thus;

P(p^ > 0.5) = 1 - 0.21186 = 0.7881

Thus, the probability the newspaper’s sample will lead them to predict defeat is 0.7871

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3 years ago
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