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kondor19780726 [428]
2 years ago
4

A cell culture contains 6 thousand cells, and is growing at a rate of r ( t ) = 11 e 0.23 t r(t)=11e0.23t thousand cells per hou

r. find the total cell count after 3 hours. give your answer accurate to at least 2 decimal places.
Mathematics
2 answers:
garri49 [273]2 years ago
8 0

Answer:10.32 thousand cells

Step-by-step explanation:

Given

6000 cells Growing at the rate of

r(t)=11e^{0.23t}

Therefore

r=6+\int_{0}^{3}11e^{0.23t}dt

Where r represent the total cells after t sec

r=6+\left ( \frac{e^{0.23t}}{0.23}\right )_0^3

r=6+\left ( \frac{e^{0.23\times 3}-e^0}{0.23} \right )

r=6+\left ( \frac{1.993-1}{0.23} \right )=6+4.320

r=10.32 thousands\ cells\ will\ be\ there\ after\ 3\ hours

Marina CMI [18]2 years ago
7 0
The rate of growth of cultured cells is:
r(t)=11e^0.23t
number of Cells when:
t=1
r(t)=11e^0.23*1
r(t)=13.8446
number of cells will therefore be:
6000×13.8446
=83067.6

t=2
r(2)=11e^(0.23*2)
r(2)=17.425
number of cells
17.425×6000
=104,550

t=3
r(3)=11e^(0.23*3)
r(3)=21.931
number of cells
6000×21.931
=131,586
Thus the total number of after the 3rd hour will be:
104550+131586+83068
=319,204
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timama [110]

Answer:

c. The number of 7's in a randomly selected set of five random digits from a table of random digits.

True, for this case we have a value fixed for n =5 and the probability is defined for each number 1/10 assuming numbers (0,1,2,3,4,5,6,7,8,9) so then the random variable "The number of 7's in a randomly selected set of five random digits" can be modelled with the binomial probability function.

Step-by-step explanation:

Previous concepts

The binomial distribution is a "DISCRETE probability distribution that summarizes the probability that a value will take one of two independent values under a given set of parameters. The assumptions for the binomial distribution are that there is only one outcome for each trial, each trial has the same probability of success, and each trial is mutually exclusive, or independent of each other".

Solution to the problem

Let X the random variable of interest, on this case we now that:

X \sim Binom(n, p)

The probability mass function for the Binomial distribution is given as:

P(X)=(nCx)(p)^x (1-p)^{n-x}

Where (nCx) means combinatory and it's given by this formula:

nCx=\frac{n!}{(n-x)! x!}

The conditions to apply this distribution is that we have the parameters fixed n and p.

Let's analyze one by one the possible solutions:

a. The number of traffic tickets written by each police officer in a large city during one month.

False, the number of traffic tickets written by each police is not a fixed amount always, so then the value of n change and we can't apply a binomial model for this case.

b. The number of hearts in a hand of five cards dealt from a standard deck of 52 cards that has been thoroughly shuffled.

False, not all the hands of size 5 are equal and since we can't ensure this condition then the binomial model not apply for this case

c. The number of 7's in a randomly selected set of five random digits from a table of random digits.

True, for this case we have a value fixed for n =5 and the probability is defined for each number 1/10 so then the random variable "The number of 7's in a randomly selected set of five random digits" can be modelled with the binomial probability function.

d. The number of phone calls received in a one-hour period.

False, the number of phone calls change by the hour and is not always fixed so then we don't have a valu for n, and the binomial model not applies for this case.

e. All of the above.

False option C is correct.

5 0
2 years ago
What is the domain of f?
zmey [24]

Answer:

I hope C

Step-by-step explanation:

if I'm wrong please let me know

8 0
2 years ago
Read 2 more answers
A marker is randomly selected from a drawer that contains 20 green, 44 orange, and 30 blue markers.Which statement is true?
Black_prince [1.1K]
Probability =  \frac{number of choice}{total number of choices}
# green = 20
# orange = 44
# blue = 30
Total = 20 + 44 + 30 = 94

P(green) =  \frac{20}{94} =  0.212

P(orange) =  \frac{44}{94} = 0.468
P(blue) =  \frac{30}{94} = 0.319

The one that matches is A
5 0
2 years ago
Given a data set consisting of 33 unique whole number observations, its five-number summary is:
Lemur [1.5K]

Answer:

given a data set of 33 unique whole number observation,its five number sumary is [16, 29, 40 ,54, 67]

Step-by-step explanation:

The p-th percentile in an ordered (from low to high) data set is a value such that p% of the data is less than that value. The quartiles of a data set are the 25th, 50th and 75th percentiles. (The 25th percentile is usually called the first quartile, the 50th percentile is usually called the median, and the 75th percentile is usually called the third quartile.)

The formula for finding the location (or position) of the (approximate) pth percentile in an ordered (from low to high) data set is  

L p=(n+1).p/100

For example, in the data set  [2,4,6,8,10,12,14,16,18]

the (approximate) 60th percentile is located at position  

L 60=(9+1).60/100=6

that is, the sixth data point (the value 12) is at the (approximate) 60th percentile.(Actually, only 55.6% of the data is below a 12.)

3 0
2 years ago
After getting 10% discount a customer paid RS 2034 with 13% VAT to buy a bag from a retailer. If the retailer made a profit of 2
german

Answer:

33.33%

Step-by-step explanation:

We are told that the customer paid Rs. 2034 after getting 10% discount with 13% vat on marked price (m.p.)

hence:-

2034 = m.p. × 90/100 × 113/100

m.p = (2034 × 100 × 100)/(90 × 113)

m.p. = Rs.2000

Now, due to the fact that VAT (which in this question is given to be 13%) is not the profit of the retailer, thus the selling price (s.p.) of the bag would be given by;

s.p = m.p. × 90/100

s.p = 2000 × 90/100

s.p = Rs. 1800

We are told that the retailer made a profit of 20%

Thus:-

c.p. × 120/100 = s.p.

c.p.= s.p. × 100/120

c.p.= 1800 × 100/120

c.p. = Rs.1500

Therefore, the percentage with which he marked above the c.p is;

% mark up = (m.p - c.p)/c.p) × 100

Plugging in the relevant values, we have;

(2000 - 1500)/1500) × 100

(500/1500) × 100 = 33.33%

7 0
2 years ago
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