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Andru [333]
4 years ago
14

HELP PLEASE

Mathematics
2 answers:
madreJ [45]4 years ago
6 0

Answer:

No, because the bike order does not meet the restrictions of 4c+6a \leq 120 and 4c +4a\leq 100

Step-by-step explanation:

The correct answer is option 1:

4c+6a \leq 120 (As each child bike takes 4 hours to build and each adult bike takes 6 hours to build, and the company has building time up to 120 hours)

4c +4a\leq 100 (As each child bike takes 4 hours to test and each adult bike takes 4 hours to test, and the company has testing time up to 100 hours)

We will substitute 20 for 'c' and 6 for 'a'

4(20)+6(6) \leq 120

80+36 \leq 120

116 \leq 120

This is true.

For the second inequality;

4(20)+4(6) \leq 100

80+24 \leq 100

104 \leq 100

So, this is not true.

Hence, option 1st is true.

Alex787 [66]4 years ago
3 0
The answer that i got for your question is the first answer.
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Mode is which number appears the most. Mean is adding up all the numbers and dividing by the amount of numbers. Median is the middle number of the ordered numbers from least to greatest. Look at the set. they are in order so median is off. Numbers appear more than once so mode is off. However, mean is not there. We don't have an average. (adding up the numbers and dividing by amount.) So the answer should be mean. 

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4 0
4 years ago
Add - (remember only like terms can be combined when add/subtract)<br><br> (3x + 5) + (2x - 8)
Afina-wow [57]

Answer:

5x-3

Step-by-step explanation:

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7 0
3 years ago
The defect length of a corrosion defect in a pressurized steel pipe is normally distributed with mean value 28 mm and standard d
Misha Larkins [42]

Answer:

14.69% probability that defect length is at most 20 mm

Step-by-step explanation:

When the distribution is normal, we use the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore 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 pvalue, we get the probability that the value of the measure is greater than X.

In this question, we have that:

\mu = 28, \sigma = 7.6

What is the probability that defect length is at most 20 mm

This is the pvalue of Z when X = 20. So

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

Z = \frac{20 - 28}{7.6}

Z = -1.05

Z = -1.05 has a pvalue of 0.1469

14.69% probability that defect length is at most 20 mm

5 0
4 years ago
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bulgar [2K]
12.0 is the answer I think
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4 years ago
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7 0
4 years ago
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