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Andre45 [30]
2 years ago
15

the function p(t)=3(e^0.0866t describes how to find the pollution level p(t) in relation to any time t, where t is the number of

years after 1970. according to this information, what was the pollution level in 1980? (round your answer to the nearest hundredth) a. 2.38 b. 7.09 c. 7.13 d. 2.36
Mathematics
1 answer:
ddd [48]2 years ago
6 0

The pollution level in 1980 was 7.13 to the nearest hundredth ⇒ answer c

Step-by-step explanation:

The function p(t)=3(e^{0.0866t}) , where

  • p(t) is the population level at any time t
  • t is the number of years after 1970

We need to find the pollution level in 1980

∵ p(t)=3(e^{0.0866t})

∵ t is the number of years after 1970

∴ t = 1980 - 1970 = 10 years

- Substitute the value of t in the equation above

∴ p(t)=3(e^{0.0866*10})

∴ p(t)=3(e^{0.866})

∴ p(t) = 7.13214 ≅ 7.13 to the nearest hundredth

The pollution level in 1980 was 7.13 to the nearest hundredth

Learn more:

You can learn more about the functions in brainly.com/question/8520610

#LearnwithBrainly

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8 0
2 years ago
We learned in that about 69.7% of 18-20 year olds consumed alcoholic beverages in 2008. We now consider a random sample of fifty
maw [93]

Answer:

(1) The expected number of people who would have consumed alcoholic beverages is 34.9.

(2) The standard deviation of people who would have consumed alcoholic beverages is 10.56.

(3) It is surprising that there were 45 or more people who have consumed alcoholic beverages.

Step-by-step explanation:

Let <em>X</em> = number of adults between 18 to 20 years consumed alcoholic beverages in 2008.

The probability of the random variable <em>X</em> is, <em>p</em> = 0.697.

A random sample of <em>n</em> = 50 adults in the age group 18 - 20 years is selected.

An adult, in the age group 18 - 20 years, consuming alcohol is independent of the others.

The random variable <em>X</em> follows a Binomial distribution with parameters <em>n</em> = 50 and <em>p</em> = 0.697.

The probability mass function of a Binomial random variable <em>X</em> is:

P(X=x)={50\choose x}0.697^{x}(1-0.697)^{50-x};\ x=0,1,2,3...

(1)

Compute the expected value of <em>X</em> as follows:

E(X)=np\\=50\times 0.697\\=34.85\\\approx34.9

Thus, the expected number of people who would have consumed alcoholic beverages is 34.9.

(2)

Compute the standard deviation of <em>X</em> as follows:

SD(X)=\sqrt{np(1-p)}=\sqrt{50\times 0.697\times (1-0.697)}=10.55955\approx10.56

Thus, the standard deviation of people who would have consumed alcoholic beverages is 10.56.

(3)

Compute the probability of <em>X</em> ≥ 45 as follows:

P (<em>X</em> ≥ 45) = P (X = 45) + P (X = 46) + ... + P (X = 50)

                =\sum\limits^{50}_{x=45} {50\choose x}0.697^{x}(1-0.697)^{50-x}\\=0.0005+0.0001+0.00002+0.000003+0+0\\=0.000623\\\approx0.0006

The probability that 45 or more have consumed alcoholic beverages is 0.0006.

An unusual or surprising event is an event that has a very low probability of success, i.e. <em>p</em> < 0.05.

The probability of 45 or more have consumed alcoholic beverages is 0.0006. This probability value is very small.

Thus, it is surprising that there were 45 or more people who have consumed alcoholic beverages.

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