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Dimas [21]
3 years ago
8

Suppose Y(t) = 25e^3t + 12 represents the number of bacteria present at time t minutes. At what time will the population reach 1

00 bacteria? ( Note: Answers are expressed in terms of natural logarithm
Mathematics
1 answer:
Levart [38]3 years ago
3 0

Given:

The given function is:

Y(t)=25e^{3t}+12

Where Y represents the number of bacteria present at time t minutes.  

To find:

The time taken by bacteria population to reach 100 bacteria.

Solution:

We have,

Y(t)=25e^{3t}+12

Putting Y(t)=100, we get

100=25e^{3t}+12

100-12=25e^{3t}

88=25e^{3t}

Divide both sides by 25.

\dfrac{88}{25}=e^{3t}

Taking ln on both sides, we get

\ln (\dfrac{88}{25})=\ln e^{3t}

\ln(\dfrac{88}{25})=3t                  [\because \ln e^x=x]

Divide both sides by 3.

\dfrac{1}{3}\ln(\dfrac{88}{25})=t

Therefore, the required time is \dfrac{1}{3}\ln(\dfrac{88}{25}) minutes.

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A person measured the depth of water in a bathtub at two minute intervals after the tap was turned on. Use the line of best fit
Leto [7]

Answer:

The Depth of water in the bathtub initially = 2 cm

Step-by-step explanation:

For this question, we want to f8nd the amount of water present in the bathtub at time t = 0 using line of best fit, that is, linear regression analysis.

The table provided shows that the depth of water in the bathtub (y) changes as time (x) progresses.

Time (min) (x) | 2 | 4 | 6 | 8 | 10 | 12 | | 14

Depth (cm) (y) | 8 | 15 | 29 | 37 | 39 | 49 | 55

Running the analysis on a spreadsheet application, like excel, the table of parameters is obtained and presented in the first attached image to this solution.

Σxᵢ = sum of all the independent variables (sum of all the time data)

Σyᵢ = sum of all the dependent variables (sum of all the depth data)

Σxᵢyᵢ = sum of the product of each dependent variable and its corresponding independent variable

Σxᵢ² = sum of the square of each independent variable (time data)

Σyᵢ² = sum of the square of each dependent variable (depth data)

n = number of variables = 7

The scatter plot and the line of best fit is presented in the second attached image to this solution

Then the regression analysis is then done

Slope; m = [n×Σxᵢyᵢ - (Σxᵢ)×(Σyᵢ)] / [nΣxᵢ² - (∑xi)²]

Intercept b = [Σyᵢ - m×(Σxᵢ)] / n

Mean of x = (Σxᵢ)/n

Mean of y = (Σyᵢ) / n

Sample correlation coefficient r: r =

[n*Σxᵢyᵢ - (Σxᵢ)(Σyᵢ)] ÷ {√([n*Σxᵢ² - (Σxᵢ)²][n*Σyᵢ² - (Σyᵢ)²])}

And -1 ≤ r ≤ +1

All of these formulas are properly presented in the third attached image to this answer

The table of results; mean of x, mean of y, intercept, slope, regression equation and sample coefficient is presented in the fourth attached image to this answer.

The linear regression equation obtained is then

y = 3.911x + 1.857

at a regression coefficient of 0.987 (the closer the value is to 1, the more accurate the equation obtained)

So, the Depth of water in the bathtub initially, that is, when t = x= 0,

y = 3.911x + 1.857

y = 3.911(0) + 1.857 = 1.857 cm = 2 cm to the nearest integer.

Hope this Helps!!!

3 0
3 years ago
what is There are (26)3⋅ 20 bacteria in a sample. What is the total number of bacteria in the sample? (1 point) PLLS help
erastova [34]

Answer:

hi taxes was waa Bynum waa Hitachi waa hug

5 0
3 years ago
2m=p-q/r solve for r
Oduvanchick [21]

To solve for r, you would start by subtracting p from both sides.

2m - p = -q/r

Multiply everything by r.

2mr - pr = -q

Factor r out of the left side of the equation.

r(2m - p) = -q

Divide both sides by (2m - p).

r = \frac{-q}{2m-p} = \frac{q}{2m + p}.

6 0
3 years ago
PLS HELP ASAP WILL GIVE YOU BRAINLIEST
lbvjy [14]

Answer:

y=5 is the correct answer

Step-by-step explanation:

it would be paralell because the x variable goes across in a straight line

4 0
3 years ago
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What is the distance between -2.2 , 8.4 on a number line
leonid [27]

Answer:

10.2

Step-by-step explanation:

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