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evablogger [386]
2 years ago
15

For every part produced by the factory there are 5 ounces of scrap aluminum that can be recycled. There are 16 ounces in 1 Pound

and 2,000 pounds in 1 ton. How many parts must the factory produce so tht there is 1 on of scrap aluminum for recycling
Mathematics
1 answer:
Alborosie2 years ago
5 0

6,400 parts are needed to make 1 ton of scrap metal

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102+900=1002 More. Then 100
Ksivusya [100]
Hello!

I don't exactly understand your question. If you mean to be asking whether or not 1002 is geater than 100, it is.

If you mean to be asking to add it: 102 + 900 + 100 = 1102
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Una ciudad tenía 8000 habitantes a final del año 2000. Cada año su población se incrementa en un 0.5 %
Digiron [165]

Answer:

The correct answer is 2030.

Step-by-step explanation:

To start we must analyze the information we have.

We know that a city has 8000 inhabitants and that each year this number increases by 0.5%. That means that <u>each year it has 40 more inhabitants</u>:

(8000 . 0,5) : 100 = 40

Having this information we could do a cross multiplication:

1 year ------- 40 inhabitants

x years ------- 81200

81200 = 40.x

x = 81200 : 40

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In this way we can verify that the correct answer is 2030.

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Drag each relation to the correct location on the table.
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So what is the question exactly I’m confused on how this is asked
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A real estate agent has 12 properties that she shows. She feels that there is a 30% chance of selling any one property during a
Ronch [10]

Answer:

0.2528 = 25.28% probability of selling no more than 2 properties in one week.

Step-by-step explanation:

For each property, there are only two possible outcomes. Either they are sold, or they are not. The chance of selling any one property is independent of selling another property, which means that the binomial probability distribution is used to solve this question.

Binomial probability distribution

The binomial probability is the probability of exactly x successes on n repeated trials, and X can only have two outcomes.

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

In which C_{n,x} is the number of different combinations of x objects from a set of n elements, given by the following formula.

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

And p is the probability of X happening.

A real estate agent has 12 properties that she shows.

This means that n = 12

She feels that there is a 30% chance of selling any one property during a week.

This means that p = 0.3

Compute the probability of selling no more than 2 properties in one week.

2 or less sold, which is:

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

In which

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

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P(X = 1) = C_{12,1}.(0.3)^{1}.(0.7)^{11} = 0.0712

P(X = 2) = C_{12,2}.(0.3)^{2}.(0.7)^{10} = 0.1678

Then

P(X \leq 2) = P(X = 0) + P(X = 1) + P(X = 2) = 0.0138 + 0.0712 + 0.1678 = 0.2528

0.2528 = 25.28% probability of selling no more than 2 properties in one week.

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Answer:

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