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fenix001 [56]
1 year ago
5

A yeast culture weighing 2 grams is removed from a refrigerator unit and is expected to grow at the rate of Upper W prime (t )eq

uals0.1 e Superscript 0.1 t grams per hour at a higher controlled temperature. How much will the weight of the culture increase during the first 10 hours of​ growth? How much will the weight of the culture increase from the end of the 10th hour to the end of the 20th hour of​ growth?
Mathematics
1 answer:
Naily [24]1 year ago
5 0

Answer:

a) during the first 10 hours of growth the weight will increase 271.8% relative to the initial state ( or 2.718 g)

b) during the first 20 hours of growth the weight will increase  467.1 % relative to the initial state ( or 4.671 g)

Step-by-step explanation:

since the growing rate law is

W'(t) = 0.1 gr/hour * e^(0.1gr/hour* t)  , W'(t) [gr/hour]

and following mathematical conventions: W'(t)= dW/dt

then

dW/dt=0.1 e^(0.1t)

∫dW =∫0.1 e^(0.1t) dt

W = e^(0.1t) + C

at the beginning, (time t=0) the weight is W=2 grams .Therefore

2 g = e^(0.1 g/h*0) + C  → 2 g = 1 g + C → C = 1 g

then

W = e^(0.1t) + 1 g

at t= 10 hours

W = e^(0.1 g/h*10h) + 1 g = 3.718 g/h

therefore the weight will increase

ΔW = 3.718 g -  1 g = 2.718 g  or 271.8% relative to the initial state

for t=20 hours

W = e^(0.1 g/h*20h) + 1 g = 8.389 g/h

thus, the from t= 10 hours to t= 20 hours the weight will increase

ΔW =  8.389 g/h -  3.718 g = 4.671 g  or 467.1 %relative to the initial state

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Answer:

The magnitude of the necessary lifting force is 7.95N

Step-by-step explanation:

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7 0
1 year ago
In 1898 L. J. Bortkiewicz published a book entitled The Law of Small Numbers. He used data collected over 20 years to show that
attashe74 [19]

Answer:

(a) The probability of more than one death in a corps in a year is 0.1252.

(b) The probability of no deaths in a corps over 7 years is 0.0130.

Step-by-step explanation:

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The random variable X\sim Poisson(\lambda = 0.62).

The probability function of a Poisson distribution is:

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(a)

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P (X > 1) = 1 - P (X ≤ 1)

             = 1 - P (X = 0) - P (X = 1)

             =1-\frac{e^{-0.62}(0.62)^{0}}{0!}-\frac{e^{-0.62}(0.62)^{1}}{1!}\\=1-0.54335-0.33144\\=0.12521\\\approx0.1252

Thus, the probability of more than one death in a corps in a year is 0.1252.

(b)

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6 0
1 year ago
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Answer:

Step-by-step explanation:

(a)   H0: μ_D=0

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(c)  By technology,

p - value = 0.4437

Hence, the p-value is 0.4437

8 0
1 year ago
A bacon cheeseburger at a popular fast food restaurant contains 2,070mg of sodium, which is 86% of the recommended daily amount.
svp [43]
2,070mg 86%
— = —
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Serjik [45]

Answer:

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For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

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In this question:

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The standard error of the proportion is 0.0367.

4 0
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