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krok68 [10]
3 years ago
9

Solve the given differential equation by finding, as in Example 4 from Section 2.4, an appropriate integrating factor. y(6x y 6)

dx (6x 2y) dy
Mathematics
1 answer:
pickupchik [31]3 years ago
7 0

Answer:

\mathbf{6xe^xy+y^2e^x  = C} which implies that C is the integrating factor

Step-by-step explanation:

The correct format for the equation given is:

y(6x+y +6)dx +(6x +2y)dy=0

By the application of the general differential equation:

⇒ Mdx + Ndy = 0

where:

M = 6xy+y²+6y

\dfrac{\partial M}{\partial y}= 6x+2y+6

and

N = 6x +2y

\dfrac{\partial N}{\partial x}= 6

∴

f(x) = \dfrac{1}{N}\Big(\dfrac{\partial M}{\partial y}- \dfrac{\partial N}{\partial x} \Big)

f(x) = \dfrac{1}{6x+2y}(6x+2y+6-6)

f(x) = \dfrac{1}{6x+2y}(6x+2y)

f(x) = 1

Now, the integrating factor can be computed as:

\implies e^{\int fxdx}

\implies e^{\int (1)dx}

the integrating factor = e^x

From the given equation:

y(6x+y +6)dx +(6x +2y)dy=0

Let us multiply the above given equation by the integrating factor:

i.e.

(6xy+y^2 +6y)dx +(6x +2y)dy=0

(6xe^xy+y^2 +6e^xy)dx +(6xe^x +2e^xy)dy=0

6xe^xydx+6e^xydx+y^2e^xdx  +6xe^xdy +2ye^xdy=0

By rearrangement:

6xe^xydx+6e^xydx+6xe^xdy +y^2e^xdx  +2ye^xdy=0

Let assume that:

6xe^xydx+6e^xydx+6xe^xdy = d(6xe^xy)

and:

y^2e^xdx  +e^x2ydy=d(y^2e^x)

Then:

d(6xe^xy)+d(y^2e^x) = 0

6d (xe^xy) + d(y^2e^x) = 0

By integration:

\mathbf{6xe^xy+y^2e^x  = C} which implies that C is the integrating factor

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3 years ago
manufacturing company produces digital cameras and claim that their products maybe 3% defective. A video company, when purchasin
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Answer:

P(X>17) = 0.979

Step-by-step explanation:

Probability that a camera is defective, p = 3% = 3/100 = 0.03

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Probability that a camera is working, q = 1 - p = 1 - 0.03 = 0.97

Probability that more than 17 cameras are working P ( X > 17)

This is a binomial distribution P(X = r) nCr q^{r} p^{n-r}

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P(X>17) = P(X=18) + P(X=19) + P(X=20)

P(X=18) = 20C18 * 0.97^{18} * 0.03^{20-18}

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P(X=18) = 0.0988

P(X=19) = 20C19 * 0.97^{19} * 0.03^{20-19}

P(X=19) = 20C19 * 0.97^{19} * 0.03^{1}

P(X=19) = 0.3364

P(X=20) = 20C20 * 0.97^{20} * 0.03^{20-20}

P(X=20) = 20C20 * 0.97^{20} * 0.03^{0}

P(X=20) = 0.5438

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3 years ago
Solve the equation thanks!
AlladinOne [14]

Answer:

c = \frac{27}{40}

Step-by-step explanation:

To eliminate the fractions, multiply all terms by the lowest common multiple of 8 and 5

The lowest common multiple of 8 and 5 is 40

5 + 40c = 32 ( subtract 5 from both sides )

40c = 27 ( divide both sides by 40 )

c = \frac{27}{40}

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EleoNora [17]

Answer:

A. R2 = 0.6724, meaning 67.24% of the total variation in test scores can be explained by the least‑squares regression line.

Step-by-step explanation:

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Here, dependent variable y is the test scores and independent variable x is home averages because test scores are predicted on the basis of home work averages.

The coefficient of determination R² indicates the explained variability of dependent variable due to its linear relationship with independent variable.

We are given that correlation coefficient r= 0.82.

coefficient of determination R²=0.82²=0.6724 or 67.24%.

Thus, we can say that 67.24% of total variability in test scores is explained by its linear relationship with homework averages.

Also, we can say that, R2 = 0.6724, meaning 67.24% of the total variation in test scores can be explained by the least‑squares regression line.

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