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Oksi-84 [34.3K]
2 years ago
10

When and how do you use logarithms to solve exponential equations? give an example of an exponential equation that does not requ

ire logarithms to solve it and example of a problem that does require logarithms to solve it.
Mathematics
1 answer:
tatuchka [14]2 years ago
6 0
\bf 5^{x+3}=\cfrac{1}{125}\implies 5^{x+3}=\cfrac{1}{5^3}\implies 5^{x+3}=5^{-3}
\\\\\\
\textit{because the bases are the same, the exponents must also be the same}
\\\\\\
x+3=-3\implies \boxed{x=-6}\\\\
-------------------------------\\\\
3^x=4^{2x}\implies log(3^x)=log(4^{2x})\implies xlog(3)=(2x)log(4)
\\\\\\
\cfrac{x}{2x}=\cfrac{log(4)}{log(3)}\implies \cfrac{1}{x}=\cfrac{log(4)}{log(3)}\implies \cfrac{log(3)}{log(4)}=x\implies \boxed{0.79248125\approx x}
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Lina20 [59]
Kim is 2. Her sister is 1 years old. 2+1=3
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3 years ago
Find a function that models the area A of an equilateral triangle in terms of the length x of one of its sides.
creativ13 [48]
A(x)=\frac{x^2\sqrt3}{4}
3 0
3 years ago
5. (09.06 MC)
polet [3.4K]

Answer:

12.566

Step-by-step explanation:

A = ∫1/2(r)^2dtheta from a - b = 0 to 2π

∫1/2(sin^2theta-4sintheta+4)dtheta

[9/4theta+2costheta-1/8sin2theta] from 0 to 2π…

when you solve this you get 14.137 without taking out the cos(2theta+3)

5 0
2 years ago
29.24/0.153 is what?
PolarNik [594]

Answer:

191.111111111

Step-by-step explanation:

29.24 / 0.153 =191.111111111

8 0
3 years ago
An analyst must decide between two different forecasting techniques for weekly sales of roller blades: a linear trend equation a
Amiraneli [1.4K]

Answer:

Following are the responses to the given question:

Step-by-step explanation:

Mean Absolute Deviation MAD

MAD = \sum_{i=1}^{n} \frac{\left | actual_{i}-forecast_{i} \right |}{n}

Mean squared error  

MSE=\Sigma^{n}_{i=1} \frac{(Actual_i - Forecast_i)^2}{(n - 1)}

linear trend equation is Ft = 124 + 2t

MAD = \frac{23}{10} = 2.3\\\\MSE = \frac{91}{9}= 10.11\\\\

Naive method

MAD = \frac{36}{9} = 4\\\\MSE = \frac{202}{8}=25.25\\\\MAD (Naive) = 4\\\\MAD (Linear) =2.3\\\\MSE (Naive)=25.25\\\\MSE (Linear)=10.11\\\\

Please find the attached file.

7 0
3 years ago
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