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3 years ago

What two numbers multiply to make 6 and also add to make 8

1 answer:

3 0

*This is an answer I found elsewhere on Brainly.*

(4+√10)(4-√10)

=16-4√10+4√10-10

=6

------------------------------

(4+√10)+(4-√10)

=4+√10+4-√10

=8

----------------------------

The numbers are:

4+√10, and 4-√10

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Evaluate the expression shown below and write your answer as a fraction in simplest form.

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Answer:

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Step-by-step explanation:

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3 years ago

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4 years ago

(Percentile) An apple juice producer buys all his apples from a conglomerate of apple growers in one northwest state. The amount

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Answer: 77% of the apples will contain at least 2.36 ounces of juice.

Step-by-step explanation:

Since the amount of juice squeezed from each of these apples is approximately normally distributed,

we would apply the formula for normal distribution which is expressed as

z = (x - µ)/σ

Where

x = the amount of juice squeezed in ounces.

µ = mean

σ = standard deviation

From the information given,

µ = 2.25 ounces

σ = 0.15 ounce

Looking at the normal distribution table, the z score corresponding 77%(77/100 = 0.77) is 0.74

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3 years ago

8.The weight distribution of parcels sent in a certain manner is normal with mean value 12lb and standard deviation 3.5 lb. The

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Answer:

The value is c = 21.1445.

Step-by-step explanation:

Normal Probability Distribution:

Problems of normal distributions can be solved using the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the z-score of a measure X is given by:

$Z = \frac{X - \mu}{\sigma}$

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the p-value, we get the probability that the value of the measure is greater than X.

The weight distribution of parcels sent in a certain manner is normal with mean value 12lb and standard deviation 3.5 lb.

This means that $\mu = 12, \sigma = 3.5$