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omeli [17]
3 years ago
15

How do I solve for x: (4/9)^(x) • (8/27)^(1-x) =2/3

Mathematics
2 answers:
asambeis [7]3 years ago
8 0

(\frac{4}{9})^x\cdot (\frac{8}{27})^{1-x} =\frac{2}{3}\\((\frac{2}{3})^2)^x\cdot ((\frac{2}{3})^3)^{1-x} =\frac{2}{3}\\(\frac{2}{3})^{2x}\cdot (\frac{2}{3})^{3-3x} =\frac{2}{3}\\(\frac{2}{3})^{2x+3-3x} =\frac{2}{3}\\(\frac{2}{3})^{-x+3} =\frac{2}{3}\\-x+3=1\\-x=1-3\\-x=-2\ /:(-1)\\x=2

exis [7]3 years ago
7 0
X=2

All this stuff is wrong I screwed up somewhere:
IGNORE EVERYTHING BELOW THIS:
take the natural log of both sides of the equation.

ln(( \frac{4}{9})^{x}  )   \times  \ ln(( \frac{8}{27})^{(1 - x)} ) =  ln( \frac{2}{3} )
Remembering your log rules:

ln( {a}^{b} )  = b  \: ln(a)
Using this rule we rewrite the first equation:
x \:  ln( \frac{4}{9} )  \times (1 - x) \:  ln( \frac{8}{27} )  =  ln( \frac{2}{3} )
Simplify:
x ln( \frac{4}{9} )  \times ( ln( \frac{8}{27}) - x \:  ln( \frac{8}{27} )  )
Solve for some of these ln's to make life easier:

- .81x \:  \times ( - 1.22 - 1.22x) =  - .41
Distribute:
(.988x + .988x^{2} ) =  - .41

Factor out .988
.988(x +  {x}^{2} ) =  - .41 \\ (x +  {x}^{2} ) =  \frac{ - .41}{.988}  \\ (x +  {x}^{2} ) = -  .415
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A local car dealer claims that 25% of all cars in San Francisco are blue. You take a random sample of 600 cars in San Francisco
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Answer:

No, we can't reject the dealer's claim with a significance level of 0.05.

Step-by-step explanation:

We are given that a local car dealer claims that 25% of all cars in San Francisco are blue.

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<u><em>Let p = proportion of all cars in San Francisco who are blue</em></u>

SO, Null Hypothesis, H_0 : p = 25%   {means that 25% of all cars in San Francisco are blue}

Alternate Hypothesis, H_A : p \neq 25%   {means that % of all cars in San Francisco who are blue is different from 25%}

The test statistics that will be used here is <u>One-sample z proportion</u> <u>statistics</u>;

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where, \hat p = sample proportion of 600 cars in San Francisco who are blue =   \frac{141}{600} = 0.235

            n = sample of cars = 600

So, <u><em>test statistics</em></u>  =  \frac{0.235-0.25}{{\sqrt{\frac{0.235(1-0.235)}{600} } } } }

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<em>Now at 0.05 significance level, the z table gives critical values of -1.96 and 1.96 for two-tailed test. Since our test statistics lies within the range of critical values of z so we have insufficient evidence to reject our null hypothesis as it will not fall in the rejection region due to which we fail to reject our null hypothesis.</em>

Therefore, we conclude that 25% of all cars in San Francisco are blue which means the dealer's claim was correct.

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Step-by-step explanation:

Let's simplify step-by-step.

10x+9−40

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Combine Like Terms:

=10x+9+−40

=(10x)+(9+−40)

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