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MatroZZZ [7]
3 years ago
9

Which of the values will NOT make x-12 < -8 true?

Mathematics
1 answer:
andrew11 [14]3 years ago
8 0
C.
10.5-12 is a bigger number than 8, therefore the statement is false!
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The quotient of a number and four, decreased by ten is two. What is the number?
Ksenya-84 [330]
There isnt a number its represented by a variable. So the answer would be n/4-10=2
8 0
3 years ago
Please help me please
Alchen [17]
The answer to the question is c
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Answer:

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Step-by-step explanation:

6 0
4 years ago
There are 20 families living in the Willbrook Farms Development. Of these families, 10 prepared their own federal income taxes f
ioda

Answer:

a) 1/2

b) 9/40

Step-by-step explanation:

Given

Total number of families living in Willbrook Farms Development = 20

Number of families preparing their own federal income taxes for last year = 10

Number of families for which taxes were prepared by a local professional = 7

Number of families for which taxes were prepared by H&R Block = 3

a) Probability of selecting a family that prepared their own taxes = 10/20 = 1/2

b) The probability of selecting two families, both of which prepared their own taxes

10/20 * 9/20 = 9/40

4 0
3 years ago
A brewery has a beer dispensing machine that dispenses beer into the company's 12 ounce bottles. The distribution for the amount
-Dominant- [34]

Answer:

The company should use a mean of 12.37 ounces.

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 distribution for the amount of beer dispensed by the machine follows a normal distribution with a standard deviation of 0.17 ounce.

This means that \sigma = 0.17

The company can control the mean amount of beer dispensed by the machine. What value of the mean should the company use if it wants to guarantee that 98.5% of the bottles contain at least 12 ounces (the amount on the label)?

This is \mu, considering that when X = 12, Z has a p-value of 1 - 0.985 = 0.015, so when X = 12, Z = -2.17.

Then

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

-2.17 = \frac{12 - \mu}{0.17}

12 - \mu = -2.17*0.17

\mu = 12 + 2.17*0.17

\mu = 12.37

The company should use a mean of 12.37 ounces.

7 0
3 years ago
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