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ira [324]
3 years ago
14

The populations P (in thousands) of Orlando, Florida from 2000 through 2007 can be modeled by

Mathematics
1 answer:
sveta [45]3 years ago
4 0

Answer:

Explained below.

Step-by-step explanation:

The population model for Orlando, Florida from 2000 through 2007 is:

P = 1656.2\times e^{kt}

It is provided that, in 2005, the population of Orlando was about 1,940,000.

(a)

Compute the value of <em>k</em> as follows:

For year 2005, the value of <em>t</em> is 5.

P = 1656.2\times e^{kt}

1940000=1656.2\times e^{k\times 5}\\\\e^{k\times 5}=\frac{1940000}{1656.2}\\\\e^{k\times 5}=1171.35612\\\\5k=\ln(1171.35612)\\\\k=\frac{7.06592}{5}\\\\k=1.413184\\\\k\approx 1.41

Since the value of <em>k</em> is positive, the population is increasing.

(b)

Compute the populations of Orlando in 2010 as follows:

P = 1656.2\times e^{kt}

   =1656.2\times e^{1.41\times 10}\\\\=2201227729.68\\\\\approx 2,201,227,730

Compute the populations of Orlando in 2015 as follows:

P = 1656.2\times e^{kt}

   =1656.2\times e^{1.41\times 15}\\\\=2537704633019.96\\\\\approx 2,537,704,633,020

Since the population increased exponentially from 2010 to 2015, yes the results are reasonable.

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Answer:

(a) The probability that a randomly selected parcel arrived late is 0.026.

(b) The probability that a parcel was late was being shipped through the overnight mail service A₁ is 0.615.

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Step-by-step explanation:

Consider the tree diagram below.

(a)

The law of total probability sates that: P(A)=P(A|B)P(B)+P(A|B')P(B')

Use the law of total probability to determine the probability of a parcel being late.

P(L)=P(L|A_{1})P(A_{1})+P(L|A_{2})P(A_{2})+P(L|A_{3})P(A_{3})\\=(0.04\times0.40)+(0.01\times0.50)+(0.05\times0.10)\\=0.026

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(b)

The conditional probability of an event A provided that another event B has already occurred is:

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Compute the probability that a parcel was late was being shipped through the overnight mail service A₁ as follows:

P(A_{1}|L)=\frac{P(L|A_{1})P(A_{1})}{P(L)} \\=\frac{0.04\times 0.40}{0.026} \\=0.615

Thus, the probability that a parcel was late was being shipped through the overnight mail service A₁ is 0.615.

(c)

Compute the probability that a parcel was late was being shipped through the overnight mail service A₂ as follows:

P(A_{2}|L)=\frac{P(L|A_{2})P(A_{2})}{P(L)} \\=\frac{0.01\times 0.50}{0.026} \\=0.192

Thus, the probability that a parcel was late was being shipped through the overnight mail service A₂ is 0.192.

(d)

Compute the probability that a parcel was late was being shipped through the overnight mail service A₂ as follows:

P(A_{3}|L)=\frac{P(L|A_{3})P(A_{3})}{P(L)} \\=\frac{0.05\times 0.10}{0.026} \\=0.192

Thus, the probability that a parcel was late was being shipped through the overnight mail service A₃ is 0.192.

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