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vfiekz [6]
4 years ago
15

2.13786*10^4 written in standard form

Mathematics
1 answer:
never [62]4 years ago
7 0

Rewritten is 2.3786x10000.

So, this is going to be 2x10000+0.3x10000+0.07x10000+0.008x10000+0.0006x10000. Therefore, written in standard form looks like: 2x10000+0.3x10000+0.07x10000+0.008x10000+0.0006x10000

Hope this answered your question.

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Answer:

x=9

Step-by-step explanation:

dyyfjfjsjujsjsivjsjicuejie82iu3828i$>÷>$>$>×&$:

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Factor p^2-q^2-2p+2q
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In a lab, a scientist is growing bacteria for a study. The scientist begins with a bacteria
Diano4ka-milaya [45]

Answer:

The answer is below

Step-by-step explanation:

The growth of the bacteria is in the form of an exponential growth. It is given by the formula:

P(t)=ae^{rt}\\\\where\ t\ is\  the\ number\ of \ hours, P(t)\ is\ the \ population\ at\ t\ hours\\\and\ a=population\ at\ start

At 2 hours, the population is 62 cells, hence:

P(2)=ae^{2r}\\\\62=ae^{2r}\ \ .\ \ .\ \ .\ (1)

After another 2 hours (4 hours), the population is 1 million:

P(4)=ae^{4r}\\\\1000000=ae^{4r}\ \ .\ \ .\ \ .\ (2)\\\\Divide \ equation\ 2\ by\ equation\ 1:\\\\\frac{1000000}{62}=\frac{ae^{4r}}{ae^{2r}} \\\\16129=e^{2r}\\\\ln(e^{2r})=ln(16129)\\\\2r=9.688\\\\r=4.844

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62=ae^{2*4.844}\\\\62=16129a\\\\a=0.003844

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4 0
4 years ago
The number of surface flaws in plastic panels used in the interior of automobiles has a Poisson distribution with a mean of 0.05
Tresset [83]

Answer:

(a) Probability that there are no surface flaws in an auto's interior is 0.6065 .

(b) If 10 cars are sold to a rental company, what is the probability that none of the 10 cars has any surface flaws is 0.00673 .

Step-by-step explanation:

We are given that the number of surface flaws in plastic panels used in the interior of automobiles has a Poisson distribution with a mean of 0.05 flaws per square foot of plastic panel.

Let X = Distribution of number of surface flaws in plastic panels

So, X ~ Poisson(\lambda)

The mean of Poisson distribution is given by, E(X) = \lambda = 0.05

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The probability distribution function of a Poisson random variable is:

P(X=x)=\frac{e^{-\lambda}\lambda^{x}}{x!}; for  x=0,1,2,3...

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(b) If 10 cars are sold to a rental company, what is the probability that none of the 10 cars has any surface flaws = P(X = 0)^{10}

    So, P(X = 0)^{10} = 0.6065^{10} = 0.00673

8 0
3 years ago
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