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REY [17]
3 years ago
5

If $525 is 40% of my take home pay for 1 week how much to I make in a week

Mathematics
2 answers:
Vlada [557]3 years ago
8 0

Answer: 525=2/5 so 1/5=262.5 and multiply that by 3 is 787.5 2/5 plus 3/5 is 100% so you would make 787.5

Step-by-step explanation:

Pachacha [2.7K]3 years ago
5 0

Answer:

your answer is $1312.50

Step-by-step explanation:

because part always goes over whole 525 is only 40% you have to do 525x100 and you will get 52500. After that, you have to divide it by 40 and that's how you get your answer. at least that's how my teacher taught us.

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I neep help!!! what is the answer???/
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Answer:

c

Step-by-step explanation:

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hope this helped! have a great day or night :)

8 0
3 years ago
A machine is used to fill Apple Juice bottles with juice. The machine has a known standard deviation of σ = 0.05 liters. The tar
Lina20 [59]

Answer:

The probability that the quality control manager will shut down the machine is 0.0002.

Step-by-step explanation:

We are given that a machine is used to fill Apple Juice bottles with juice. The machine has a known standard deviation of σ = 0.05 liters. The target mean fill volume is µ = 2.0 liters.

A quality control manager obtains a random sample of 50 bottles. He will shut down the machine if the sample of these 50 bottles is less than 1.95 or greater than 2.1.

<u><em>Let </em></u>\bar X<u><em> = sample mean fill volume</em></u>

The z score probability distribution for sample mean is given by;

                               Z  = \frac{\bar X-\mu}{\frac{\sigma}{\sqrt{n} } }  ~ N(0,1)

where, \mu = population mean fill volume = 2 liters

           \sigma = standard deviation = 0.05 liters

           n = sample of bottles = 50

Now, it is provided that he will shut down the machine if the sample of these 50 bottles is less than 1.95 or greater than 2.1.

  • So, Probability that the sample of these 50 bottles is less than 1.95 is given by = P(\bar X < 1.95)

         P(\bar X < 1.95) = P( \frac{\bar X-\mu}{\frac{\sigma}{\sqrt{n} } } < \frac{1.95-2}{\frac{0.05}{\sqrt{50} } } ) = P(Z < -7.07) = 1 - P(Z \leq 7.07)

                                                         = 1 - 0.9999 = 0.0001

  • Probability that the sample of these 50 bottles is greater than 2.1 is given by = P(\bar X > 2.1)

        P(\bar X > 2.1) = P( \frac{\bar X-\mu}{\frac{\sigma}{\sqrt{n} } } > \frac{2.1-2}{\frac{0.05}{\sqrt{50} } } ) = P(Z > 14.14) = 1 - P(Z < 14.14)

                                                     = 1 - 0.9999 = 0.0001

Because the highest critical value in the z table is given as x = 4.40 for area of 0.99999.

Therefore, probability that the quality control manager will shut down the machine = 2 \times 0.0001 = 0.0002.

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kifflom [539]

The vertex of the graph of y = (x - 1)2 - 5 is (1,-5)

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