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dimulka [17.4K]
3 years ago
14

Keisha makes a large sandwich for a family picnic. She takes 1/2 of the sandwich to the picnic.At the picnic, her family eats 3/

8 of the whole sandwich. What fraction of the whole sandwich does Keisha bring back from the picnic?
Mathematics
2 answers:
lana66690 [7]3 years ago
8 0

Answer: \frac{1}{8}


Step-by-step explanation:

The part of sandwich Keisha took to the picnic=\frac{1}{2} of whole sandwich

The part of sandwich ate by family=\frac{3}{8} of whole sandwich.

The part of sandwich Keisha bring back home=\frac{1}{2}-\frac{3}{8}

=\frac{4-3}{8}\\\\=\frac{1}{8} of the whole sandwich.

Hence, Keisha bring back \frac{1}{8} part of whole sandwich.


Olegator [25]3 years ago
5 0
1/8 becaue 1/2 equals 4/8 so if she brought 4/8 with her take away 3/8 that would equal 1/8
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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.

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

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

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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)

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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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