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san4es73 [151]
4 years ago
15

3x squared -42x+9=-5 for completing the square

Mathematics
1 answer:
enot [183]4 years ago
8 0
3x^2 -42x + 9 = -5

Subtract 9 from both sides
3x^2 -42x  = -5 - 9

3x^2 -42x  = -14

Divide by 3 through
x^2 -14x  = - \dfrac{14}{3}

Add (b/2)^2 to form perfect square
x^2 -14x +  (\dfrac{14}{2})^2  = - \dfrac{14}{3} +  (\dfrac{14}{2})^2

Form perfect square
(x -7)^2  =  \dfrac{7}{3}

square root both sides
(x -7) = \pm \sqrt{\dfrac{7}{3}}

Add 7 to both sides
x  =   \pm \sqrt{\dfrac{7}{3}}  + 7

Rewrite the answer into 2 different answers
x  =   7 +  \sqrt{\dfrac{7}{3}}  \ or \  7 - \sqrt{\dfrac{7}{3}}



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What is the value of the function y=2x−3 when x=−1 ?
san4es73 [151]

Answer:  First option is correct.

Step-by-step explanation:

Since we have given that

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As we have given that x= - 1

so, we substitute the value of x in y :

y=2x-3\\\\y=2(-1)-3\\\\y=-2-3\\\\y=-5

So, the value of the function is -5.

Hence, First option is correct.


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4 years ago
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3 years ago
Life tests on a helicopter rotor bearing give a population mean value of 2500 hours and a population standard deviation of 135 h
stira [4]

Answer:

The percent of the parts are expected to fail before the 2100 hours is 0.15.

Step-by-step explanation:

Given :Life tests on a helicopter rotor bearing give a population mean value of 2500 hours and a population standard deviation of 135 hours.

To Find : If the specification requires that the bearing lasts at least 2100 hours, what percent of the parts are expected to fail before the 2100 hours?.

Solution:

We will use z score formula

z=\frac{x-\mu}{\sigma}

Mean value = \mu = 2500

Standard deviation = \sigma = 135

We are supposed to find  If the specification requires that the bearing lasts at least 2100 hours, what percent of the parts are expected to fail before the 2100 hours?

So we are supposed to find P(z<2100)

so, x = 2100

Substitute the values in the formula

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At z = −2.96 the value is 0.0015

So, In percent = .0015 \times 100=0.15\%

Hence The percent of the parts are expected to fail before the 2100 hours is 0.15.

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