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Elina [12.6K]
1 year ago
5

Use natural logarithms to solve each equation. e x+1=30

Mathematics
1 answer:
yanalaym [24]1 year ago
4 0

2.4012 is the value of x after solving equation  e^{x+1} = 30 using natural logarithms

We have been asked to solve e^{x+1} = 30 using natural logarithms

⇒   e^{x+1} = 30

⇒ x + 1 = ㏑ 30

⇒ x =  ㏑ 30 - 1

       ≈ 2.4012

<h3>What is a natural logarithm?</h3>

A number's natural logarithm is its logarithm to the base of the transcendental and irrational number e, which is roughly equivalent to 2.718281828459.

Typically, the natural logarithm of x is denoted by the symbols ln x, loge x, or, if the base e is implicit, just log x. When adding parentheses for clarity, the values ln(x), loge(x), or log (x). In order to avoid ambiguity, this is notably done when the argument to the logarithm is not a single symbol.

The power to which e would need to be raised in order to equal x is the natural logarithm of x.

For instance, e2.0149... = 7.5, thus ln 7.5 equals 2.0149.

Since e1 = e, the natural logarithm of e itself, or ln e, is equal to 1, while the natural logarithm of 1 is 0, since e0 = 1.

Learn more about natural logarithm

brainly.com/question/305900

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<h3>Correct Question</h3>

Use natural logarithms to solve each equation.

 e^{x+1} = 30

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Answer:

The interval from the sample of size 400 will be approximately <u>One -half as wide</u> as the interval from the sample of size 100

Step-by-step explanation:

From the question we are told the confidence level is  95% , hence the level of significance is    

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Generally the 95% confidence interval is dependent on the value of the margin of error at a constant sample mean or sample proportion

Generally the margin of error is mathematically represented as

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Here assume that Z_{\frac{\alpha }{2} } \ and \  \sigma \ is constant so

     E =  \frac{k}{\sqrt{n} }

=>  E \sqrt{n} = K

=>   E_1 \sqrt{n}_1 =  E_2 \sqrt{n}_2

So  let  n_1 = 400 and n_2 =  100

=>   E_1 \sqrt{400} =  E_2 \sqrt{100}

=>  E_1 =  \frac{\sqrt{100} }{\sqrt{400} } E_2

=>  E_1 =  \frac{1}{2 } E_2

So From this we see that  the confidence interval for a sample size of 400 will be half that with a sample size of 100

   

     

   

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Step-by-step explanation:

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Tanzania [10]

Answer:

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μ = (1) (⅓) + (2) (⅓) + (4) (⅓)

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The standard deviation is:

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Answer:

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