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Serjik [45]
3 years ago
8

4(x - 7) + 8(1 - 6x) = 24 solve for x

Mathematics
2 answers:
gregori [183]3 years ago
8 0

Answer:

x = -1

Step-by-step explanation:

4(x - 7) + 8(1 - 6x) = 24

distribute

4x - 28 +8 -48x = 24

Combine like terms

-44x -20 = 24

Add 20 to each side

-44x -20+20 = 24+20

-44x = 44

Divide each side by -44

-44x/-44 = 44/-44

x = -1

asambeis [7]3 years ago
4 0

Answer:

x =  - 1

Step-by-step explanation:

4(x - 7) + 8(1 - 6x) = 24 \\ 4x - 28 + 8 - 48x = 24 \\  - 44x - 20 = 24 \\  - 44x = 24 + 20 \\  - 44x = 44 \\  \frac{ - 44x}{ - 44}  =  \frac{44}{ - 44} \\ x =  - 1

hope this helps

brainliest appreciated

good luck! have a nice day!

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Step-by-step explanation:

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A researcher wishes to estimate the average blood alcohol concentration​ (BAC) for drivers involved in fatal accidents who are f
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A 90% confidence interval for the mean BAC in fatal crashes in which the driver had a positive BAC is [0.143, 0.177] .

Step-by-step explanation:

We are given that a researcher randomly selects records from 60 such drivers in 2009 and determines the sample mean BAC to be 0.16 g/dL with a standard deviation of 0.080 ​g/dL.

Firstly, the pivotal quantity for finding the confidence interval for the population mean is given by;

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where, \bar X = sample mean BAC = 0.16 g/dL

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            n = sample of drivers = 60

            \mu = population mean BAC in fatal crashes

<em>Here for constructing a 90% confidence interval we have used a One-sample t-test statistics because we don't know about population standard deviation. </em>

So, a 90% confidence interval for the population mean, \mu is;

P(-1.672 < t_5_9 < 1.672) = 0.90  {As the critical value of t at 59 degrees of

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P( -1.672 \times {\frac{s}{\sqrt{n} } } < {\bar X-\mu} < 1.672 \times {\frac{s}{\sqrt{n} } } ) = 0.90

P( \bar X-1.672 \times {\frac{s}{\sqrt{n} } } < \mu < \bar X+1.672 \times {\frac{s}{\sqrt{n} } } ) = 0.90

<u>90% confidence interval for</u> \mu = [ \bar X-1.672 \times {\frac{s}{\sqrt{n} } } , \bar X+1.672 \times {\frac{s}{\sqrt{n} } } ]

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Therefore, a 90% confidence interval for the mean BAC in fatal crashes in which the driver had a positive BAC is [0.143, 0.177] .

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