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Ostrovityanka [42]
2 years ago
15

Solve the given initial-value problem. The DE is a Bernoulli equation.

Mathematics
1 answer:
mario62 [17]2 years ago
7 0

Your solution seems fine. What does the rest of the error message say?

\displaystyle y^{1/2}\frac{\mathrm dy}{\mathrm dx} + y^{3/2} = 1

Substitute

z(x)=y(x)^{3/2} \implies \dfrac{\mathrm dz}{\mathrm dx}=\dfrac32y(x)^{1/2}\dfrac{\mathrm dy}{\mathrm dx}

to transform the ODE to a linear one in <em>z</em> :

\displaystyle \frac23\frac{\mathrm dz}{\mathrm dx} + z = 1

Divide both sides by 2/3 :

\displaystyle \frac{\mathrm dz}{\mathrm dx} + \frac32z = \frac32

Multiply both sides by the integrating factor, e^{3x/2} :

\displaystyle e^{3x/2}\frac{\mathrm dz}{\mathrm dx} + \frac32 e^{3x/2}z = \frac32 e^{3x/2}

Condense the left side into the derivative of a product :

\displaystyle \frac{\mathrm d}{\mathrm dx}\left[e^{3x/2}z\right] = \frac32 e^{3x/2}

Integrate both sides and solve for <em>z</em> :

\displaystyle e^{3x/2}z = \frac32 \int e^{3x/2}\,\mathrm dx \\\\ e^{3x/2}z = e^{3x/2} + C \\\\ z = 1 + Ce^{-3x/2}

Solve in terms of <em>y</em> :

y^{3/2} = 1 + Ce^{-3x/2}

Given that <em>y</em> (0) = 16, we have

16^{3/2} = 1 + Ce^0 \implies C = 16^{3/2}-1 = 63

so that the particular solution is

\boxed{y^{3/2} = 1 + 63e^{-3x/2}}

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A survey of 270 young professionals found that one dash eighth of them use their cell phones primarily for​ e-mail. Can you conc
IceJOKER [234]

Answer:

As 0.17 is below the upper limit of the confidence​ interval, so we can conclude that the population proportion is less than 0.17.

Step-by-step explanation:

We are given that a survey of 270 young professionals found that one dash eighth of them use their cell phones primarily for​ e-mail.

Firstly, the Pivotal quantity for 95% confidence interval for the population proportion is given by;

                            P.Q. =  \frac{\hat p-p}{\sqrt{\frac{\hat p(1-\hat p)}{n} } }  ~ N(0,1)

where, \hat p = sample proportion of people who use their cell phones primarily for​ e-mail =  \frac{1}{8} = 0.125

           n = sample of young professionals = 270

           p = population proportion

<em>Here for constructing 95% confidence interval we have used One-sample z test for proportions.</em>

<u>So, 95% confidence interval for the population proportion, p is ;</u>

P(-1.96 < N(0,1) < 1.96) = 0.95  {As the critical value of z at 2.5% level

                                                   of significance are -1.96 & 1.96}  

P(-1.96 < \frac{\hat p-p}{\sqrt{\frac{\hat p(1-\hat p)}{n} } } < 1.96) = 0.95

P( -1.96 \times {\sqrt{\frac{\hat p(1-\hat p)}{n} } } < {\hat p-p} < 1.96 \times {\sqrt{\frac{\hat p(1-\hat p)}{n} } } ) = 0.95

P( \hat p-1.96 \times {\sqrt{\frac{\hat p(1-\hat p)}{n} } } < p < \hat p+1.96 \times {\sqrt{\frac{\hat p(1-\hat p)}{n} } } ) = 0.95

<u>95% confidence interval for p</u> = [\hat p-1.96 \times {\sqrt{\frac{\hat p(1-\hat p)}{n} } } , \hat p+1.96 \times {\sqrt{\frac{\hat p(1-\hat p)}{n} } }]

        = [ 0.125-1.96 \times {\sqrt{\frac{0.125(1-0.125)}{270} } } , 0.125+1.96 \times {\sqrt{\frac{0.125(1-0.125)}{270} } } ]

        = [0.08 , 0.16]

Therefore, 95% confidence interval for the population proportion who use cell phones primarily for​ e-mail is [0.08 , 0.16].

Since, the above confidence interval have values which is less than 0.17; so we conclude that the population proportion is less than 0.17.

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Part A:


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