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Sergeeva-Olga [200]
3 years ago
12

Is this true or false One advantage of a peacock flounder is its ability to change color

Mathematics
2 answers:
attashe74 [19]3 years ago
7 0
That is absolutely true!!!!
ser-zykov [4K]3 years ago
3 0
<span>the peacock flounder can change color to blend in with its environment to sneak up to its prey or hide

so it is true

I hope this helps!</span>
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21,400 in standard form
sweet-ann [11.9K]

Answer:

2.14 X 10(power4)

Step-by-step explanation:

6 0
3 years ago
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The lengths in centimeters of four line segments are shown below 3.1,3.5,3 1/5, 4.2 which list shows the lengths in order from l
goblinko [34]

ok i think your answer will be from least to greatest it would be this 3 1/5, 3.1, 3.5, 4.2

Hope i helped let me know if i got it right if not i am very sorry.

7 0
3 years ago
Is the simplified form of 2-3 + 3.3 rational?<br> Yes<br> No
N76 [4]

Answer:

YES IT IS

Step-by-step explanation:

2-3 + 3.3

= -1 + 3.3

= -4.3

We learn that:

Rational number: rational number is the number that can be written as a/b (a and b would be intergers and b is not equal to 0). Rational number would be most of numbers we use in out life, except Square root and Pi number.

In this case, -4.3 can be write as -43/10

So YES it would be a rational number

Hope this helped :3

6 0
3 years ago
Which of these numbers is prime? large 11, 15, 21, 27, 56
gizmo_the_mogwai [7]
11 is the only prime number. It's only multiples are 1 and itself
6 0
3 years ago
Read 2 more answers
A certain kind of sheet metal has, on average, 3 defects per 18 square feet. Assuming a Poisson distribution, find the probabili
Fofino [41]

Answer:

75.8% probability that a 31 square foot metal sheet has at least 4 defects.

Step-by-step explanation:

In a Poisson distribution, the probability that X represents the number of successes of a random variable is given by the following formula:

P(X = x) = \frac{e^{-\mu}*\mu^{x}}{(x)!}

In which

x is the number of sucesses

e = 2.71828 is the Euler number

\mu is the mean in the given time interval.

In this problem, we have that:

3 defects per 18 square feet.

So for 31 square feet, we have to solve a rule of three

3 defects - 18 square feet

x defects - 31 square feet

18x = 3*31

x = \frac{31*3}{18}

x = 5.17

So \mu = 5.17

Assuming a Poisson distribution, find the probability that a 31 square foot metal sheet has at least 4 defects.

Either it has three or less defects, or it has at least 4 defects. The sum of the probabilities of these events is decimal 1.

So

P(X \leq 3) + P(X \geq 4) = 1

We want P(X \geq 4)

So

P(X \geq 4) = 1 - P(X \leq 3)

In which

P(X \leq 3) = P(X = 0) + P(X = 1) + P(X = 2) + P(X = 3)

P(X = x) = \frac{e^{-\mu}*\mu^{x}}{(x)!}

P(X = 0) = \frac{e^{-5.17}*(5.17)^{0}}{(0)!} = 0.0057

P(X = 1) = \frac{e^{-5.17}*(5.17)^{1}}{(1)!} = 0.0294

P(X = 2) = \frac{e^{-5.17}*(5.17)^{2}}{(2)!} = 0.0760

P(X = 3) = \frac{e^{-5.17}*(5.17)^{3}}{(3)!} = 0.1309

So

P(X \leq 3) = P(X = 0) + P(X = 1) + P(X = 2) + P(X = 3) = 0.0057 + 0.0294 + 0.0760 + 0.1309 = 0.242

Finally

P(X \geq 4) = 1 - P(X \leq 3) = 1 - 0.242 = 0.758

75.8% probability that a 31 square foot metal sheet has at least 4 defects.

8 0
3 years ago
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