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KatRina [158]
3 years ago
13

3.95m + 8.95b = 47.65

Mathematics
1 answer:
nataly862011 [7]3 years ago
6 0
3.95m + 8.95b = 47.65  Equation 
 
                      \fbox{Solution for variable m}

3.95m=47.65-8.95b
  \text{Subtract 8.95b from both sides} 

m= \dfrac{47.65-8.95b}{3.95}  \text{Divide both sides by 3.95} 

                      \fbox{Solution for variable b}        
 
 3.95m + 8.95b = 47.65  Equation    

8.95b=47.65-3.95m
     \text{Subtract 3.95m from both sides}

b= \dfrac{47.65-3.95m}{8.95} \text{Divide both sides by 8.95} 
         
                                  \text{Hence Solved}
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Step-by-step explanation:

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Solving Exponential and Logarithmic Equations In Exercise, solve for x.<br> 500(1.075)120x = 100.000
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Answer:

The solution is:

x = 0.61

Step-by-step explanation:

The first step to solve this equation is placing everything with the exponential to one side of the equality, and everything without the exponential to the other side. So

500(1.075)^{120x} = 100000

(1.075)^{120x} = \frac{100000}{500}

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To find x, we have to apply log to both sides of the equality.

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Answer:

a) X: number of years of education

b) Sample mean = 13.5, Sample standard deviation = 0.4

c) Sample mean = 13.5, Sample standard deviation = 0.2

d) Decrease the sample standard deviation

Step-by-step explanation:

We are given the following in the question:

Mean, μ = 13.5 years

Standard deviation,σ = 2.8 years

a) random variable X

X: number of years of education

Central limit theorem:

If large random samples are drawn from population with mean \mu and standard deviation \sigma, then the distribution of sample mean will be normally distributed with mean \mu and standard deviation \frac{\sigma}{\sqrt{n}}

b) mean and the standard for a random sample of size 49

\mu_{\bar{x}} = \mu = 13.5\\\\\sigma_{\bar{x}} = \dfrac{\sigma}{\sqrt{n}} = \dfrac{2.8}{\sqrt{49}} = 0.4

c) mean and the standard for a random sample of size 196

\mu_{\bar{x}} = \mu = 13.5\\\\\sigma_{\bar{x}} = \dfrac{\sigma}{\sqrt{n}} = \dfrac{2.8}{\sqrt{196}} = 0.2

d) Effect of increasing n

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