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insens350 [35]
3 years ago
7

• A number is 10.678 more than 8.76. What is the number?​

Mathematics
1 answer:
kolbaska11 [484]3 years ago
7 0
10.678 + 8.76 = 19.438

Your answer is 19.438!

Good luck!
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Solve for m pls? I'd seriously appreciate it!
Vilka [71]

Answer:

m=-1

Step-by-step explanation:

Start by multiplying both sides by 2, this will get rid of the fraction on the left side and will result in the equation 12m+6=2m-4

Then, subtract 2m from both sides, which leaves the equation as 10m+6=-4

Then, subtract 6 from both sides, this results with the equation 10m=-10

Finally, divide both sides by 10, this will result in m=-1

3 0
3 years ago
Can 2 Yards And 60 Inches Be Expressed as a ratio. If Yes, Express In Simplest Form .
Simora [160]

Answer:

no

Step-by-step explanation:

u needn't

6 0
3 years ago
Read 2 more answers
4x - 7 (2 - x) = 3x + 2
juin [17]

Answer:

x=2

Step-by-step explanation:

4x−7(2−x)=3x+2

4x+(−7)(2)+(−7)(−x)=3x+2(Distribute)

4x+−14+7x=3x+2

(4x+7x)+(−14)=3x+2(Combine Like Terms)

11x+−14=3x+2

11x−14=3x+2

Step 2: Subtract 3x from both sides.

11x−14−3x=3x+2−3x

8x−14=2

Step 3: Add 14 to both sides.

8x−14+14=2+14

8x=16

Step 4: Divide both sides by 8.

x=2

3 0
3 years ago
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
3 years ago
8. Find the value of x in the diagram below. (2x+25) (3x)​
Katarina [22]

(2x+25) (3x) = 0

6x+75x = 0

81x = 0

8 0
3 years ago
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