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steposvetlana [31]
3 years ago
6

A crop initially has N₀ Bacterias. After 1 hour the crop has reached ( 3/2 ) N₀ Bacterias. If the rapid growth in that crop is p

roportional to the number bacteria present at the time t, determine the time required for the number of bacterias grouper are tripled.
Mathematics
1 answer:
s344n2d4d5 [400]3 years ago
8 0

Answer:

2.71 hours are required for the number of bacterias grouper are tripled.

Step-by-step explanation:

The number of bacterias can be given by the following exponential function:

N(t) = N_{0}e^{rt}

In which N(t) is the number of bacterias at the time instant t, N_{0} is the initial number of bacterias and r is the rate for which they grow.

After 1 hour the crop has reached ( 3/2 ) N₀ Bacterias.

This means that N(1) = 1.5N_{0}. With this information, we can find r.

N(t) = N_{0}e^{rt}

1.5N_{0} = N_{0}e^{r}

e^{r} = 1.5

To find r, we apply ln to both sides

\ln{e^{r}} = \ln{1.5}

r = 0.405

Determine the time required for the number of bacterias grouper are tripled.

This is t when N(t) = 3N_{0}

N(t) = N_{0}e^{0.405t}

3N_{0} = N_{0}e^{0.405t}

e^{0.405t} = 3

Again, we apply ln to both sides

\ln{e^{0.405t}} = \ln{3}

0.405t = 1.10

t = 2.71

2.71 hours are required for the number of bacterias grouper are tripled.

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Answer:

5,760,000

Step-by-step explanation:

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Suppose the weights of apples are normally distributed with a mean of 85 grams and a standard deviation of 8 grams. The weights
user100 [1]

Answer:

a) 0.0304 = 3.04% probability a randomly chosen apple exceeds 100 g in weight.

b) The weight that 80% of the apples exceed is of 78.28g.

Step-by-step explanation:

Normal Probability Distribution:

Problems of normal distributions can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the z-score of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the p-value, we get the probability that the value of the measure is greater than X.

Weights of apples are normally distributed with a mean of 85 grams and a standard deviation of 8 grams.

This means that \mu = 85, \sigma = 8

a. Find the probability a randomly chosen apple exceeds 100 g in weight.

This is 1 subtracted by the p-value of Z when X = 100. So

Z = \frac{X - \mu}{\sigma}

Z = \frac{100 - 85}{8}

Z = 1.875

Z = 1.875 has a p-value of 0.9697

1 - 0.9696 = 0.0304

0.0304 = 3.04% probability a randomly chosen apple exceeds 100 g in weight.

b. What weight do 80% of the apples exceed?

This is the 100 - 80 = 20th percentile, which is X when Z has a p-value of 0.2, so X when Z = -0.84.

Z = \frac{X - \mu}{\sigma}

-0.84 = \frac{X- 85}{8}

X - 85 = -0.84*8

X = 78.28

The weight that 80% of the apples exceed is of 78.28g.

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