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wel
3 years ago
13

Un bosque de 2 km2 está formado por hayas y pinos. Las hayas ocupan 380.000 m2 ¿Cuántos metros cuadrados ocupan los pinos?

Mathematics
1 answer:
Ivanshal [37]3 years ago
8 0

Answer:

Los pinos ocupan \\ 1620000m^{2} o <em>1 millón seiscientos veinte mil metros cuadrados</em>.

Step-by-step explanation:

Una manera de resolver este problema es la siguiente:

\\ 1km^{2} = 1km * 1km = 1000m * 1000m = 1000000m^{2}

\\ 2km^{2} = 2km * 1km = 2000m * 1000m = 2000000m^{2} = 2 * 10^{6}m^{2}

En palabras, \\ 2km^{2} = 2000000m^{2}, o <em>dos kilómetros cuadrados</em> son iguales a <em>2 millones de metros cuadrados</em>.

Sabemos que:

  1. Estos \\ 2km^{2} = 2000000m^{2} de bosque lo ocupan hayas y pinos, y, adicionalmente,
  2. Las hayas ocupan \\ 380000m^{2}.

De esta manera, <em>la parte que ocupan los pinos es el total del bosque menos el área ocupada por las hayas</em>. Por lo tanto, el área ocupada por los pinos es:

\\ 2000000m^{2} - 380000m^{2}

\\ 1620000m^{2}

¿Cuántos metros cuadrados ocupan los pinos?

Los pinos ocupan, entonces, \\ 1620000m^{2} o <em>1 millón seiscientos veinte mil metros cuadrados</em>.

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Answer:

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Step-by-step explanation:

Since there is no remainder we simply need to find the least common multiple of each of the lengths of Janice and Jasmin's strings until we find a multiple that matches for each. Like so...

2*1 = 2                    5*1 = 5

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2*3 = 6

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Finally, we have found the first common multiple which is 10m. That means that the shortest equal length for both Janice's and Jasmin's ribbon is 10m.

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1. Suppose an online retailer has determined that if a potential customer spends more than 5 minutes on their site, that the pro
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Using the binomial distribution, it is found that there is a 0.056 = 5.6% probability that more than 7 will make a purchase.

<h3>What is the binomial distribution formula?</h3>

The formula is:

P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}

C_{n,x} = \frac{n!}{x!(n-x)!}

The parameters are:

  • x is the number of successes.
  • n is the number of trials.
  • p is the probability of a success on a single trial.

In this problem:

  • There are 12 customers, hence n = 12.
  • The probability of any of them making a purchase is of p = 0.4.

The probability that more than 7 will make a purchase is given by:

P(X > 7) = P(X = 8) + P(X = 9) + P(X = 10) + P(X = 11) + P(X = 12).

Hence:

P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}

P(X = 8) = C_{12,8}.(0.4)^{8}.(0.6)^{4} = 0.042

P(X = 9) = C_{12,9}.(0.4)^{9}.(0.6)^{3} = 0.012

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P(X = 11) = C_{12,11}.(0.4)^{11}.(0.6)^{1} \approx 0

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Then:

P(X > 7) = P(X = 8) + P(X = 9) + P(X = 10) + P(X = 11) + P(X = 12) = 0.042 + 0.012 + 0.02 + 0 + 0 = 0.056.

0.056 = 5.6% probability that more than 7 will make a purchase.

More can be learned about the binomial distribution at brainly.com/question/24863377

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