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ivanzaharov [21]
4 years ago
8

An epidemic has hit Clinton City. Its population is declining 22% every hour. In just 4 hours, there are only 35,542 people left

in the city. What was the initial population in the city before the epidemic broke out?
Mathematics
2 answers:
Fofino [41]4 years ago
6 0
35542=p(1-0.22)^4
P=35,542÷(1−0.22)^(4)
P=96,020
Vinvika [58]4 years ago
5 0

Answer:

P(4) = 35542

And we want to find the initial population, if we use the initial condition we have:

35542= P_o (1-0.22)^4

And solving for the initial population we got:

[tx] P_o = \frac{35542}{(1-0.22)^4} =96020.387[/tex]

Step-by-step explanation:

For this case we know that the population is declining 22% every hour.

r =-0.22

And we can use the following expression to model the population:

P(t) = P_o (1+r)^t

Where P represent the population and t the time in hours

We know the following condition:

P(4) = 35542

And we want to find the initial population, if we use the initial condition we have:

35542= P_o (1-0.22)^4

And solving for the initial population we got:

P_o = \frac{35542}{(1-0.22)^4} =96020.387

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Professor Doom has applied to the town planning board to build a Villain's Lair in a suburban neighborhood. The local residents
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Check explanation below.

Step-by-step explanation:

Hello!

The objective of this experiment is to test if doctor Doom is controlling the neighbors' minds from his new Lair. To test this a random sample of 11 neighbors was taken and a "free will" test was administrated before the Villain's Lair was constructed and again after it was finished.

This experiment type where you have a single sample and the variable is measured "before" and "after" applying a treatment (in this case, that doctor Doom has moved into town) is a classic example of a paired sample test. You have two dependent variables, X₁: "Results of the free will test before Dr. Doom Lair is constructed" and X₂: "Results of the free will test after Dr. Doom Lair is constructed", with these variables you can establish a new variable, Xd, that I'll define as " X₁- X₂", and the objective of my hypothesis test will be to know if there is any change after the Lair is done, if there is, in fact, a change then the population mean of the difference will be nonzero, symbolically: μd ≠ 0

Using the data I've calculated the summary measures for Xd:

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sample standard deviation: Sd= 5.44

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H₁: μd ≠ 0

α: 0.05

(There is no signification level specified, so I've chosen the most common one)

Assuming that the variable difference, Xd, has a normal distribution, and with unknown population variance, the best statistic to use is the Students-t for paired samples:

t=  Xd[bar] - μd  ~t_{n-1}

Sd/√n

This test is two-tailed, so you will reject at low values of the statistic or at high values of it.

t_{n-1;\alpha/2 } = t_{10; 0.025} = -2.228

t_{n-1; 1-\alpha /2} = t_{10; 0.975} = 2.228

If t ≤ -2.228 or t ≥ 2.228 then you reject the null hypothesis.

If -2.228 < t < 2.228 then you don't reject the null hypothesis.

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Since the statistic value t= 1.94 then the decision is to not reject the null hypothesis.

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fenix001 [56]

Answer:

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(b) The probability density function is shown below.

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Step-by-step explanation:

Let the random variable <em>X</em> be denoted as the amount of water filled by the machine in a 275 gallon tank.

(a)

The random variable <em>X</em> is a continuous random variable.

A continuous random variables assumes infinite values. That is, they assume values in a fixed interval. For example, the distance covered by a car.

A discrete random variable assumes fixed definite values. They assume whole number values. For example, number of customers visiting a bank in an hour.

The amount of water in the tank can be any value between 0 to 275 gallon.

Hence, the random variable <em>X</em> is a continuous random variable.

(b)

The probability density function of the continuous random variable <em>X</em> is given as follows:

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(c)

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P(272.5

Thus, the probability that a 275 gallon tank gets less than 272.5 gallons or more than 273.8 gallons of water is 0.285.

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