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Leno4ka [110]
3 years ago
7

How to evaluate -4/5+7/15

Mathematics
2 answers:
katovenus [111]3 years ago
8 0

First, we turn the denominators into 15, like this:


\frac{-12}{15} + \frac{7}{15}


And we get \frac{-5}{15}.


Then we just simplify, and the answer is: -1/3


Hope this helped! c:

Crazy boy [7]3 years ago
6 0

We must make the fractions have common denominators, which in this case is 15.


-4 / 5 = -12 / 15


So, -4/5 + 7/15 can be rewritten as

-12 / 15 + 7 / 15 and the answer is:

-5 / 15 which equals

-1 / 3



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Answer:

The proportion of the population that have a protein requirement less than 0.60 g P • kg-1 • d-1 is 0.239, that is, 239 persons for every 1000, or simply 23.9% of them.

\\ 0.239 =\frac{239}{1000}\;or\;23.9\%

Step-by-step explanation:

From the question, we have the following information:

  • The distribution for protein requirement is <em>normally distributed</em>.
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We have here that protein requirements in adults is normally distributed with defined parameters. The question is about <em>the proportion</em> <em>of the population</em> that has a requirement less than \\ x = 0.60 gP*kg^{-1}*d^{-1}.

For answering this, we need to calculate a <em>z-score</em> to obtain the probability of the value <em>x </em>in this distribution using a <em>standard normal table</em> available on the Internet or on any statistics book.

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\\ z = \frac{0.60 - 0.65}{0.07}

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<h3>Determining the probability</h3>

With this value for <em>z</em> at hand, we need to consult a standard normal table to determine what the probability of this value is.

The value for z = -0.7142857 is telling us that the requirement for protein is below the population mean (negative sign indicates this). However, most standard normal tables give a probability that a statistic is less than z and for values greater than the mean (in other words, positive values). To overcome this, we need to take the complement of the probability given for z-score z = 0.7142857, that is, subtract from 1 this probability, which is possible because the normal distribution is <em>symmetrical</em>.

Tables have values for <em>z</em> with two decimal places, then, for z = 0.7142857, we need to rewrite it as z = 0.71. For this value, the <em>standard normal table</em> gives a value of P(z<0.71) = 0.76115.

Therefore, the cumulative probability for values less than x = 0.60 which corresponds to a z-score = -0.7142857 is approximately:

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\\ P(x (rounding to three decimal places)

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See the graph below. The shaded area is the region that represents the proportion asked in the question.

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