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Bezzdna [24]
3 years ago
12

What’s 2(a+b) if a=2 and b=3

Mathematics
2 answers:
GalinKa [24]3 years ago
5 0

Answer:

10.

Step-by-step explanation:

2(a+b)

= 2(2+3)

= 2(5)

= 10

Hope this helped!

Lesechka [4]3 years ago
4 0

Answer:

10

Step-by-step explanation:

2(2+3)  FOIL

2x2=4

2x3=6

4+6=10

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What is the solution set for this inequality
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3 years ago
3(x+3)-5x simplify<br> Answer
Lelu [443]

Answer: -2x + 9

First, Use the distributive property: 3(x+3)-5x       (3 multiplied by x is 3x and 3 multiplied by 3 is 9

Next, subtract the variable x: 3x+9-5x      (3x-5x=-2x

The answer is -2x+9

7 0
3 years ago
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oliver tries to cut a piece of metal 30 centimeters long the metal ends up being 29.4 centimeters long what is the percent error
Aleks04 [339]

Answer:

I'd say its 1.02% but don't quote me on that

Step-by-step explanation:

6 0
3 years ago
If a ray lays in a plane, how many points of the ray are also in the plane?
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3 years ago
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A random sample of n = 9 structural elements is tested for comprehensive strength. We know the true mean comprehensive strength
irinina [24]

Answer:

Probability that the sample mean comprehensive strength exceeds 4985 psi is 0.99999.

Step-by-step explanation:

We are given that a random sample of n = 9 structural elements is tested for comprehensive strength. We know the true mean comprehensive strength μ = 5500 psi and the standard deviation is σ = 100 psi.

<u><em>Let </em></u>\bar X<u><em> = sample mean comprehensive strength</em></u>

The z-score probability distribution for sample mean is given by;

                          Z = \frac{\bar X -\mu}{\frac{\sigma}{\sqrt{n} } } ~ N(0,1)

where, \mu = population mean comprehensive strength = 5500 psi

            \sigma = standard deviation = 100 psi

The Z-score measures how many standard deviations the measure is away from the mean. After finding the Z-score, we look at the z-score table and find the p-value (area) 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.

Now, Probability that the sample mean comprehensive strength exceeds 4985 psi is given by = P(\bar X > 4985 psi)

    P(\bar X > 4985 psi) = P( \frac{\bar X -\mu}{\frac{\sigma}{\sqrt{n} } } > \frac{4985-5500}{\frac{100}{\sqrt{9} } } ) = P(Z > -15.45) = P(Z < 15.45)

                                                                  = <u>0.99999</u>

<em>Since in the z table the highest critical value of x for which a probability area is given is x = 4.40 which is 0.99999, so we assume that our required probability will be equal to 0.99999.</em>

4 0
4 years ago
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