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bulgar [2K]
3 years ago
15

Math, two questions I need help . look at the pic

Mathematics
1 answer:
Sonbull [250]3 years ago
4 0

Answeer

scan it with photo math it works

Step-by-step explanation:

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The mapping diagram shows a function R(x).<br> Which mapping diagram shows the inverse of R(x)?
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I think it is D I am going to guess on that

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Help me please I need an an answer asap
storchak [24]
5A + 7 = 3A + 7 + 2A
We need to solve for A.

3A + 7 + 2A = 3A + 2A + 7 = 5A + 7 (We can add 3A and 2A because it's the same variable, so we add the coefficients)

5A + 7 = 3A + 7 + 2A
5A + 7 = 5A + 7

5A + 7 is always equal to 5A + 7 because it's the same equation. So the equation got infinitely many solutions.
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3 years ago
If sin F = 3/5 , what is cos G ?
alukav5142 [94]

Answer:

D

Step-by-step explanation:

side HG is 3

side FG is 5 hypotenuse

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3 0
3 years ago
A ferry will safely accommodate 82 tons of passenger cars. Assume that the meanweight of a passenger car is 2 tons with standard
Shalnov [3]

Answer:

The probability that the maximum safe-weight will be exceeded is <u>0.0455 or 4.55%</u>.

Step-by-step explanation:

Given:

Maximum safe-weight of 37 cars = 82 tons

∴ Maximum safe-weight of 1 car (x) = 82 ÷ 37 = 2.22 tons (Unitary method)

Mean weight of 1 car (μ) = 2 tons

Standard deviation of 37 cars = 0.8 tons

So, standard deviation of 1 car is given as:

\sigma=\frac{0.8}{\sqrt{37}}=0.13

Probability that maximum safe-weight is exceeded, P(x > 2.22) = ?

The sample is normally distributed (Assume)

Now, let us determine the z-score of the mean weight.

The z-score is given as:

z=\frac{x-\mu}{\sigma}\\\\z=\frac{2.22-2}{0.13}\\\\z=\frac{0.22}{0.13}=1.69

Now, finding P(x > 2.22) is same as finding P(z > 1.69).

From the z-score table of normal distribution curve, the value of area under the curve for z < 1.69 is 0.9545.

But we need the area under the curve for z > 1.69.

So, we subtract from the total area. Total area is 1 or 100%.

So, P(z > 1.69) = 1 - P(z < 1.69)

P(z>1.69)=1-0.9545=0.0455\ or\ 4.55\%

Therefore, the probability that the maximum safe-weight will be exceeded is 0.0455 or 4.55%.

8 0
3 years ago
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