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SVETLANKA909090 [29]
2 years ago
15

. Solve the following initial value problem: (t2−20t+51)dydt=y (t2−20t+51)dydt=y with y(10)=1y(10)=1. (Find yy as a function of

tt.)
Mathematics
1 answer:
Semenov [28]2 years ago
6 0

Answer:

y=(\frac{t-17}{t-3})^{\frac{1}{14}}

Step-by-step explanation:

We are given that initial value problem

t^2-20t+51)\frac{dy}{dt}=y

\frac{dy}{y}=\frac{dt}{t^2-20t+51}

\frac{dy}{y}=\frac{dt}{t^2-3t-17t+51}

\frac{dy}{y}=\frac{dt}{(t(t-3)-17(t-3)}

\frac{dy}{y}=\frac{dt}{(t-3)(t-17)}

\frac{1}{(t-3)(t-17)}=\frac{A}{t-3}+\frac{B}{t-17}

\frac{1}{(t-3)(t-17)}=\frac{A(t-17)+B(t-3)}{(t-3)(t-17)}

1=A(t-17)+B(t-3)...(1)

Substitute t-3=0

t=3

t-17=0

t=17

Substitute t=3 in equation (1)

1=A(3-17)+0

1=-14A

A=-\frac{1}{14}

Substitute t=17

1=B(17-3)

1=14B

B=\frac{1}{14}

Substitute the values of A and B

\frac{1}{(t-3)(t-17)}=-\frac{1}{14}(\frac{1}{t-3})+\frac{1}{14}(\frac{1}{t-17})

\int\frac{dy}{y}=-\frac{1}{14}\int\frac{dt}{t-3}+\frac{1}{14}\int\frac{dt}{t-17}

ln y=-\frac{1}{14}ln\mid{t-3}\mid+\frac{1}{14}\mid{t-17}\mid+ln C

By using formula:\frac{dx}{x}=ln x+C

ln y=\frac{1}{14}(-ln\mid{t-3}\mid+ln\mid{t-17}\mid)+ln C

Using formula:ln x-ln y=ln \frac{x}{y}

ln y=\frac{1}{14}(ln\mid{\frac{t-17}{t-3}}\mid)+ln C

ln y=\frac{1}{14}ln\mid{\frac{t-17}{t-3}}\mid+ ln C

Substitute y(10)=1

ln 1=\frac{1}{14}ln\mid\frac{10-17}{10-3}\mid+ln C

0=0+ln C

Because ln 1=0

lnC=0

C=e^0=1

Because ln x=y\implies x=e^y

Substitute the value of C

ln y=\frac{1}{14}ln\mid\frac{t-17}{t-3}\mid+ln1

ln y=\frac{1}{14}ln\mid\frac{t-17}{t-3}\mid+0

ln y=\frac{1}{14}ln\mid\frac{t-17}{t-3}\mid

14ln y=ln\mid\frac{t-17}{t-3}\mid

lny^{14}=ln\mid\frac{t-17}{t-3}\mid

By using identity blog a= loga^b

y^{14}=\frac{t-17}{t-3}

y=(\frac{t-17}{t-3})^{\frac{1}{14}}

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2 years ago
It is believed that as many as 23% of adults over 50 never graduated from high school. We wish to see if this percentage is the
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Answer:

1)  n=48  

2) n=298

3) n=426

Step-by-step explanation:

Previous concepts

A confidence interval is "a range of values that’s likely to include a population value with a certain degree of confidence. It is often expressed a % whereby a population means lies between an upper and lower interval".  

The margin of error is the range of values below and above the sample statistic in a confidence interval.  

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".  

p represent the real population proportion of interest

\hat p represent the estimated proportion for the sample

n is the sample size required (variable of interest)

z represent the critical value for the margin of error

The population proportion have the following distribution  

p \sim N(p,\sqrt{\frac{\hat p(1-\hat p)}{n}})  

Part 1

In order to find the critical value we need to take in count that we are finding the interval for a proportion, so on this case we need to use the z distribution. Since our interval is at 90% of confidence, our significance level would be given by \alpha=1-0.90=0.10 and \alpha/2 =0.05. And the critical value would be given by:  

z_{\alpha/2}=-1.64, z_{1-\alpha/2}=1.64  

The margin of error for the proportion interval is given by this formula:  

ME=z_{\alpha/2}\sqrt{\frac{\hat p (1-\hat p)}{n}} (a)  

And on this case we have that ME =\pm 0.1 and we are interested in order to find the value of n, if we solve n from equation (a) we got:  

n=\frac{\hat p (1-\hat p)}{(\frac{ME}{z})^2} (b)

We can assume that the estimated proportion is 0.23 for the 25 to 30 group. And replacing into equation (b) the values from part a we got:  

n=\frac{0.23(1-0.23)}{(\frac{0.1}{1.64})^2}=47.63  

And rounded up we have that n=48  

Part 2

The margin of error on this case changes to 0.04 so if we use the same formula but changing the value for ME we got:

n=\frac{0.23(1-0.23)}{(\frac{0.04}{1.64})^2}=297.7  

And rounded up we have that n=298  

Part 3

In order to find the critical value we need to take in count that we are finding the interval for a proportion, so on this case we need to use the z distribution. Since our interval is at 95% of confidence, our significance level would be given by \alpha=1-0.95=0.05 and \alpha/2 =0.025. And the critical value would be given by:  

z_{\alpha/2}=-1.96, z_{1-\alpha/2}=1.96  

The margin of error for the proportion interval is given by this formula:  

ME=z_{\alpha/2}\sqrt{\frac{\hat p (1-\hat p)}{n}} (a)  

And on this case we have that ME =\pm 0.04 and we are interested in order to find the value of n, if we solve n from equation (a) we got:  

n=\frac{\hat p (1-\hat p)}{(\frac{ME}{z})^2} (b)

We can assume that the estimated proportion is 0.23 for the 25 to 30 group. And replacing into equation (b) the values from part a we got:  

n=\frac{0.23(1-0.23)}{(\frac{0.04}{1.96})^2}=425.22  

And rounded up we have that n=426  

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