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andrezito [222]
3 years ago
8

The indicated function y1(x) is a solution of the given differential equation. Use reduction of order or formula below:

Mathematics
1 answer:
Anni [7]3 years ago
6 0

Given y_1=e^{2x} is a fundamental solution, we posit a second solution of the form y_2=y_1v=e^{2x}v, with derivatives

{y_2}'=e^{2x}v'+2e^{2x}v=e^{2x}(v'+2v)

{y_2}''=e^{2x}v''+4e^{2x}v'+4e^{2x}v=e^{2x}(v''+4v'+4v)

Substitute these into the ODE:

e^{2x}(v''+4v'+4v)-4e^{2x}(v'+2v)+4e^{2x}v=0\implies v''=0

Integrate both sides twice to get

v''=0\implies v'=C_1\implies v=C_1x+C_2

Then the second fundamental solution is

y_2=xe^{2x}+e^{2x}

but y_1 already cover e^{2x}, so y_2=xe^{2x}.

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The attached Excel file 2013 NCAA BB Tournament shows the salaries paid to the coaches of 62 of the 68 teams in the 2013 NCAA basketball tournament (not all private schools report their coach's salaries). Consider these 62 salaries to be a sample from the population of salaries of all 346 NCAA Division I basketball coaches.

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Question 2. Coach Mike Krzyzewski's high salary is an outlier and could be significantly affecting the confidence interval results. Remove Coach Krzyzewski's salary from the data and recalculate the 95% confidence interval using the remaining 61 salaries.

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Step-by-step explanation:

Question 1:

The sample mean salary of 62 couches is

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The standard deviation of mean salary is

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The confidence interval for the mean salary of all basketball coaches is given by

 $ CI = \bar{x} \pm t_{\alpha/2}(\frac{s}{\sqrt{n} } ) $

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Significance level = α = 1 - 0.95 = 0.05/2 = 0.025  

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From the t-table at α = 0.025 and DoF = 61

t-score = 1.999

So the required 95% confidence interval is  

CI = \bar{x} \pm t_{\alpha/2}(\frac{s}{\sqrt{n} } ) \\\\CI = 1,465,752 \pm 1.999 \cdot (\frac{1,346,046.2}{\sqrt{62} } ) \\\\CI = 1,465,752 \pm 1.999 \cdot (170948.04 ) \\\\CI = 1,465,752 \pm 341,725 \\\\LCI = 1,465,752 - 341,725 = 1,124,027 \\\\UCI = 1,465,752 + 341,725 = 1,807,477\\\\

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CI = \bar{x} \pm t_{\alpha/2}(\frac{s}{\sqrt{n} } ) \\\\CI = 1,371,191 \pm 2.001 \cdot (\frac{1,130,666.5}{\sqrt{61} } ) \\\\CI = 1,371,191 \pm 2.001 \cdot (144767 ) \\\\CI = 1,371,191 \pm 289,678.8 \\\\LCI = 1,371,191 - 289,678.8 = 1,081,512 \\\\UCI = 1,371,191 + 289,678.8 = 1,660,870\\\\

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