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qwelly [4]
3 years ago
13

A culture of bacteria has an initial population of 22000 bacteria and doubles every 5 hours. Using the formula P t = P 0 ⋅ 2 t d

P t ​ =P 0 ​ ⋅2 d t ​ , where P t P t ​ is the population after t hours, P 0 P 0 ​ is the initial population, t is the time in hours and d is the doubling time, what is the population of bacteria in the culture after 17 hours, to the nearest whole number?
Mathematics
1 answer:
Bas_tet [7]3 years ago
7 0

We have been given that a culture of bacteria has an initial population of 22,000 bacteria and doubles every 5 hours. Using the formula P(t) = P_0\cdot 2^{\frac{t}{d}}, where P(t) ​ is the population after t hours, ​P_0 is the initial population, t is the time in hours and d is the doubling time.

We are asked to find the population of bacteria after 17 hours.

First of all, we will substitute our given values in doubling life formula as:

P(t) =22,000\cdot 2^{\frac{t}{5}}

Now to find population of bacteria after 17 hours, we will substitute t=17 in our formula as:

P(117) =22,000\cdot 2^{\frac{17}{5}}

P(117) =22,000\cdot 2^{3.4}

P(117) =22,000\cdot (10.556063286183)

P(17) =232233.392296026

P(17)\approx 232,233

Therefore, the bacteria population will be 232,233 after 17 hours.

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Step-by-step explanation:

Previous concepts

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".  

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in minutes?= (Round your answer to three decimal places.)  

(b)  Use the 95 part of the 68–95–99.7 rule to describe the variability of this sample mean. (Round your answer to four decimal places.)

The empirical rule, also known as three-sigma rule or 68-95-99.7 rule, "is a statistical rule which states that for a normal distribution, almost all data falls within three standard deviations (denoted by σ) of the mean (denoted by µ)".

• The probability of obtain values within one deviation from the mean is 0.68

• The probability of obtain values within two deviation's from the mean is 0.95

• The probability of obtain values within three deviation's from the mean is 0.997

We expect 68% of the values between : (6.6219, 6.8181)

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(c) What is the probability that your average will be below 6.9 hours? (Round your answer to four decimal places.)

For this case we can use the z score formula given by:

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And we can find the z score for 6.9 and we got:

z = \frac{6.9-6.72}{0.0981}= 1.835

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