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Ivenika [448]
4 years ago
10

a recipe for pie crust calls for 2/3 cups of flour. a chef is making 1/2 of the recipe. how much flour should the chef use?

Mathematics
2 answers:
natka813 [3]4 years ago
8 0

Answer:

1/3 cups of flour

Step-by-step explanation:

The recipe originally calls for 2/3 cups of flower.  However, if the chef only wants to make <u>half</u> of the recipe, we must divide the original recipe by 2.  Dividing by 2 is the same as multiplying by 1/2.

2/3 * 1/2 = 2/6 (multiply across)

Simplify 2/6 - 1/3.

Aleksandr-060686 [28]4 years ago
6 0
1/2 of 2/3 is 1/3. This is because you are supposed to multiply the fractions together. "Of" is a code word for multiplication.
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3 years ago
Which of the following shows a 60 degree counterclockwise rotation of Figure A using center P?​
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30....... ...... ......

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3 years ago
2.A production process manufactures items with weights that are normally distributed with mean 10 pounds and standard deviation
Vesna [10]

Answer:

Step-by-step explanation:

Given that:

population mean = 10

standard deviation = 0.1

sample mean = 9.8 < x > 10.2

The z score can be computed as:

z = \dfrac{\bar x - \mu}{\sigma}

if x > 10.2

z = \dfrac{10.2- 10}{0.1}

z = \dfrac{0.2}{0.1}

z = 2

If x < 9.8

z = \dfrac{9.8- 10}{0.1}

z = \dfrac{-0.2}{0.1}

z = -2

The p-value = P (z ≤ 2) + P (z ≥ 2)

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p-value = 0.022750 +(1 -   0.97725)

p-value = 0.022750 +  0.022750

p-value = 0.0455

Therefore; the probability of defectives  = 4.55%

the probability of acceptable = 1 - the probability of defectives

the probability of acceptable = 1 - 0.0455

the probability of acceptable = 0.9545

the probability of acceptable = 95.45%

4.55% are defective or 95.45% is acceptable.

sampling distribution of proportions:

sample size n=1000

p = 0.0455

The z - score for this distribution at most 5% of the items is;

z = \dfrac{0.05 - 0.0455}{\sqrt{\dfrac{0.0455\times 0.9545}{1000}}}

z = \dfrac{0.0045}{\sqrt{\dfrac{0.04342975}{1000}}}

z = \dfrac{0.0045}{\sqrt{4.342975 \times 10^{-5}}}

z = 0.6828

The p-value = P(z ≤ 0.6828)

From the z tables

p-value = 0.7526

Thus, the probability that at most 5% of the items in a given batch will be defective = 0.7526

The z - score for this distribution for at least 85% of the items is;

z = \dfrac{0.85 - 0.9545}{\sqrt{\dfrac{0.0455\times 0.9545}{1000}}}

z = \dfrac{-0.1045}{\sqrt{\dfrac{0.04342975}{1000}}}

z = −15.86

p-value = P(z ≥  -15.86)

p-value = 1 - P(z <  -15.86)

p-value = 1 - 0

p-value = 1

Thus, the probability that at least 85% of these items in a given batch will be acceptable = 1

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3 years ago
A construction worker was covering the bathroom walls with tiles. He covered three-fifths of the wall with 50 tiles. How many ti
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It will take 83 1/3 tiles to fill the wall.

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x = 50 ÷ 3/5
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3 years ago
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