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2 years ago

8

Q. You are employed at a grain processing

1 answer:

DerKrebs [107]2 years ago

6 0

Answer:

A (6.08)

Step-by-step explanation:

Hi! Here is how you would handle this problem :D

First, multiply 1.28 (money per pound) by 4 (whole pounds), you would get 5.12. Now be careful, because there is one more step! There are 16 ounces in a pound, so 12/16 would equal to 3/4 (75%). Multiply 1.28 by .75 to find out how much you would pay for those 12 ounces. Lastly, add 5.12 and .96 (that comes from 1.28 times .75), and you get 6.08! Hope this helped, and please leave me a brainly if you can!

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Simplify: 6(5x - 2) - (3x - 4)

Sloan [31]

Answer:

$27x-8$

Step-by-step explanation:

$6(5x-2)-(3x-4)\\30x-12-3x+4\\27x-8$

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2 years ago

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djverab [1.8K]

Answer:

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Step-by-step explanation:

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3 years ago

How many zeros are in the product (6•5)•10

ASHA 777 [7]

There are 2 zeros in the product.
6*5=30
30*10=300
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6 0

3 years ago

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Find the quotient.<br>7)56<br>

ioda

The answer is 8.
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3 0

3 years ago

The quality control team of a company checked 800 digital cameras for defects. The team found that 20 cameras had lens defects,

dmitriy555 [2]

Answer:

0.025

Step-by-step explanation:

-This is a conditional probability problem.

-Let L denote lens defect and C charging defect.

#We first calculate the probability of a camera having a lens defect;

$P(lens)=\frac{Lens}{Total}\\\\=\frac{20}{800}\\\\=0.025$

#Calculate the probability of a camera having a charging defect:

$P(Charging)=\frac{Charging}{Total}\\\\=\frac{25}{800}\\\\=0.03125$

The the probability that a camera has a lens defect given that it has a charging defect is calculated as:

$P(L|C)=\frac{P(C)P(L)}{P(C)}\\\\=\frac{0.025\times 0.03125}{0.03125}\\\\=0.025$

Hence, the probability that a camera has a lens defect given that it has a charging defect is 0.025

6 0

2 years ago