Calculate curl and divergence of the given vector fields a) f(x,y,z) = (x - y)i + e- xj + xye?k b) f(x,y,z) = x+ sin(yz)i + z cos(xz) / + yeSxy k.

Answer:

1/12

Step-by-step explanation:

bc ik

Answer:

the right answer is 1/12

Step-by-step explanation:

78/0000

67

777

7654

Answer:

D

Step-by-step explanation:

Given the 2 equations

y = 3x - 5 → (1)

6x - 2y = 10 → (2)

Substitute y = 3x - 5 into (2)

6x - 2(3x - 5) = 10

6x - 6x + 10 = 10 ( subtract 10 from both sides )

6x - 6x = 0 , that is

0 = 0 ← True

This indicates the system has infinitely many solutions → D

Answer:

212, pretty sure

Step-by-step explanation:

A = $125.73

I = A - P = $49.30

hey!

Equation:

A = P(1 + rt)

Calculation:

First, converting R percent to r a decimal

r = R/100 = 21.5%/100 = 0.215 per year.

Solving our equation:

A = 76.43(1 + (0.215 × 3)) = 125.72735

A = $125.73

The total amount accrued, principal plus interest, from simple interest on a principal of $76.43 at a rate of 21.5% per year for 3 years is $125.73.

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hope i helped in some way! keep pushing you got this

Answer:

ok (tho i advise you use brainly for education purposes only :)

Step-by-step explanation:

Answer:

F(3) = -4.5

Step-by-step explanation:

Replacing x with 3 in F(x) = 0.5x - 6 results in F(3) = 0.5(3) - 6, or -4.5

F(3) = -4.5

Answer:

1) 20.

2) 30.

3) 47.

4) 86.

5) 27.

Step-by-step explanation:

The order of operations consist in, first, evaluate the parenthesis, then the exponents, the multiplication, the division, and as last the addition and subtraction. Having this in mind:

1) (28 ÷ 4) + 3 + (10 - 8) × 5

7 + 3 + 2 × 5

7 + 3 + 10

20

2) 12 - 5 + 6 × 3 + 20 ÷ 4

12 - 5 + 18 + 5

30

3) 36 ÷ 9 + 48 - 10 ÷ 2

4 + 48 - 5

47

4) 10 + 8 × 90 ÷ 9 - 4

10 + 80 - 4

86

5) 8 × 3 + 70 ÷ 7 – 7

24 + 10 - 7

27

Answer:

Step-by-step explanation:

Answer:

1. B

2. J

3. C

4. F

5. C

6. J (I think, Sorry if u get it wrong)

Step-by-step explanation:

Thank me later lol.

Answer:

x = 30

since 3x = 90 degrees, then x = 90/3 = 30

Step-by-step explanation:

Answer:

B

Step-by-step explanation:

total area minus white area give you shaded area

The fishing weight must have a minimum speed of approximately 1.98 m/s to maintain a circular path with a 0.20 m long string.

In order to maintain a circular path, the centripetal force (Fc) must be equal to or greater than the weight force (mg) of the fishing weight. The centripetal force is given by the equation Fc = (mv^2) / r, where m is the mass of the fishing weight, v is the speed, and r is the radius (0.20 m).

To find the minimum speed required, we can equate the centripetal force and weight force:

(mv^2) / r = mg

Simplifying the equation:

v^2 = rg

v = sqrt(rg)

Substituting the values of r (0.20 m) and g (acceleration due to gravity, approximately 9.8 m/s^2):

v = sqrt(0.20 * 9.8)

v ≈ 1.98 m/s

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Answer:

5 ³⁄₁₀ or ⁵³⁄₁₀

Step by step explanation:

Answer:

[tex]5 \frac{3}{10}[/tex]

Step-by-step explanation:

REMEMBER D/S×T (triangle)

therefore, finding time

D/S

80/24

make sure to press the degrees button on your calculator

3 hours and 20 minutes

Answer:

75%

Step-by-step explanation:

54/72 = 0.75

Answer:

A(x) = 3x² + 43x + 14

Step-by-step explanation:

Area of a rectangle = length × width

length = x + 14

width = 3x + 1

Area of a rectangle = length × width

= (x + 14)(3x + 1)

= 3x² + x + 42x + 14

= 3x² + 43x + 14

express the area of each rectangle as a single polynomial in terms of x.

A(x) = 3x² + 43x + 14

Answer:

756

Step-by-step explanation:

The ratio of areas is the square of the scale factor.

First, we find the scale factor from the blue solid to the red solid.

scale factor = 6/4 = 3/2

The ratio of areas is the square of the scale factor:

ratio of areas = (3/2)^2 = 9/4

volume of red solid = volume of blue solid * ratio of areas

volume of red solid = 336 m^2 * 9/4 = 756 m^2

Answer: S = 756 m^2

The probability that the Yankees would score fewer than 5 runs when they win the game is 0.32.

Let the events be A: Yankees win a game

B: Yankees score 5 or more runs

C: Yankees lose a game

D: Yankees score fewer than 5 runs

We are given the following probabilities:

P(A) = 0.56 (probability of winning)

P(B) = 0.46 (probability of scoring 5 or more runs)

P(C and D) = 0.32 (probability of losing and scoring fewer than 5 runs)

We want to find the probability of scoring fewer than 5 runs when they win the game, which is P(D|A).

We can use Bayes' theorem to find this probability:

P(D|A) = P(A and D) / P(A)

Using the definition of conditional probability:

P(D|A) = P(D and A) / P(A)

We know that P(D and C) = P(C and D), as both events represent the same outcome.

Using the fact that the sum of the probabilities of mutually exclusive events is equal to 1:

P(D and C) + P(B and C) = 1

Rearranging the equation:

P(D and C) = 1 - P(B and C)

Now, let's find P(D and A):

P(D and A) = P(D and A and C) + P(D and A and not C)

P(D and A) = P(D and A and C) + 0

P(D and A) = P(C and D and A)

Substituting the probabilities we have:

P(D|A) = P(C and D) / P(A)

P(D|A) = P(C and D) / P(C and D) + P(B and C)

P(D|A) = 0.32 / (0.32 + P(B and C))

We need to find P(B and C), which we can calculate using the given probabilities:

P(B and C) = P(C and B)

P(B and C) = P(C) - P(C and D)

P(B and C) = 1 - P(C and D)

P(B and C) = 1 - 0.32

P(B and C) = 0.68

Now we can substitute this value into the equation:

P(D|A) = 0.32 / (0.32 + 0.68)

P(D|A) = 0.32 / 1

P(D|A) = 0.32

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Step-by-step explanation:

Use ToA method (tan = opposite / adjacent)

For this question we have to use pythagoras' Theorem to find the adjacent side.

take a as the length of the adjacent side.

given b = 12

c = 13

By pythagoras' Theorem,

[tex] {c}^{2} = {a}^{2} + {b}^{2} \\ {a}^{2} = {c}^{2} - {b}^{2} \\ {a}^{2} = {13}^{2} - {12}^{2} \\ {a}^{2} = 169 - 144 \\ {a}^{2} = 25 \\ a = \sqrt{25} \\ = 5[/tex]

Now we can find tan(x)

tan(x) = Opposite / adjacent

[tex] = \frac{12}{5} [/tex]

Answer:

30

Step-by-step explanation: Because each batch has 18 total m&ms and there are 8 in each batch minus and then multiply.

The number of packages of plain M&M's on the shelf could be any multiples of 5.

Ratio is defined as the relationship between two quantities where it tells how much one quantity is contained in the other.

The ratio of a and b is denoted as a : b.

Given that,

Ratio of the number of packages of peanut M&M's to the total number of packages on the shelf = 8 : 18

That is, if there are total of 18 packages, 8 are peanut M&M's.

Number of plain M&M's out of 18 total packages = 18 - 8 = 10.

So,

Ratio of peanut M&M's to plain M&M's = 8 : 10

                                                                = 4 : 5

This indicates that, for a constant x,

Number of peanut M&M's = 4x

Number of plain M&M's = 5x

So the number of packages of plain M&M's on the shelf could only be the multiples of 5.

So it could be 5, 10, 15, 20, 25, 30, .......

Hence the number of plain M&M's on the shelf could be 5, 10, 15, 20, 25, 30, ......

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Answer:

5.63cm

Step-by-step explanation:

to find length of side AB

12[tex]cos[/tex][62°]

=5.63cm

The inverse Laplace transformation of the given Laplace transform `-2s² + 2L^-1 F(s)` is `(t³ - t)u(t)`.

Explanation:

Laplace Transform: We are given the Laplace transform as:

`-2s² + 2L^-1 F(s)`

We can write the Laplace transform as a polynomial:

`-2s² + 2 / (s - 2)`

Inverse Laplace Transform:

Using partial fraction method, we can write:

`-2s² + 2 / (s - 2) = A / (s - 2) + Bs + C`

Multiplying by `s - 2`, we get:

`-2s² + 2 = A + Bs(s - 2) + C(s - 2)`

Substituting `s = 2`, we get:`

-6A = 2` or `A = -1/3`

Comparing coefficients of `s`, we get:

`B - 2C = 0` or `B = 2C`

Comparing constants, we get:`-2C - 2A = 0` or `C = 1/3`

Therefore, the partial fractions decomposition is:

`-2s² + 2 / (s - 2) = (-1/3) / (s - 2) + (2/3) s + (1/3)`

Taking inverse Laplace transform on both sides, we get:

`L^-1 {-2s² + 2 / (s - 2)} = L^-1 {(-1/3) / (s - 2) + (2/3) s + (1/3)}`

Using the linearity of inverse Laplace transform, we get:

`-2L^-1 {s²} + 2L^-1 {1 / (s - 2)} = (-1/3)L^-1 {1 / (s - 2)} + (2/3)L^-1 {s} + (1/3)L^-1 {1}`

We know that `L^-1 {1} = δ(t)` and `L^-1 {1 / (s - a)} = e^at u(t)`

where `a` is a constant. Substituting the values, we get:

`-2L^-1 {s²} + 2L^-1 {1 / (s - 2)} = (-1/3)e^{2t}u(t) + (2/3)L^-1 {s} + (1/3)δ(t)`

We know that `L^-1 {s^n} = t^n / n!`Therefore, `L^-1 {s} = 1`.

Substituting the values, we get:

`-2L^-1 {s²} + 2L^-1 {1 / (s - 2)} = (-1/3)e^{2t}u(t) + (2/3)t + (1/3)δ(t)`

Taking inverse Laplace transform of

`-2s² + 2L^-1 F(s)`, we get:

`L^-1 {-2s² + 2L^-1

F(s)} = L^-1 {(-1/3) / (s - 2) + (2/3) s + (1/3)}

= (t³ - t)u(t)`

Therefore, the option `(a) t³ - t` is the inverse Laplace transformation of `-2s² + 2L^-1 F(s)`.

Hence, the correct option is `(a) t³ - t`.

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The slope of the graph of the total cost function represents the rate of change of the total cost with respect to the number of golf balls produced each month, the total cost function is given by C(x) = 3390 + 0.48x.

The coefficient of x in the equation represents the slope of the graph. Therefore, the slope of the total cost function is 0.48.

In this case, the marginal cost is equal to the derivative of the cost function with respect to x. Taking the derivative of C(x) = 3390 + 0.48x with respect to x, we get:

C'(x) = 0.48

Therefore, the marginal cost for the product is 0.48.

The cost of each additional ball that is produced in a month is equal to the marginal cost. From the previous calculation, we determined that the marginal cost is 0.48. Therefore, the cost of each additional ball produced in a month is $0.48.

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The slope (m) of the regression line can be estimated as approximately 0.6, while the y-intercept (b) can be estimated as around 2.5.

Upon analyzing the graph, we can make a rough estimate for the slope (m) and y-intercept (b) of the regression line. The slope represents the rate of change between the independent variable (x) and the dependent variable (y), while the y-intercept indicates the value of y when x is zero.

From the graph, we observe that the regression line appears to have a positive slope, suggesting a positive correlation between the variables. By estimating the change in y divided by the change in x for two points on the line, we can approximate the slope. In this case, considering the rise and run between two points, the slope (m) is approximately 0.6.

The y-intercept (b) can be determined by identifying the point where the regression line intersects the y-axis. In this graph, the intersection seems to occur around the y-value of 2.5, providing us with an estimated y-intercept.

To gain a more precise understanding of the regression line's characteristics and verify these estimates, it is recommended to utilize statistical techniques such as linear regression analysis. These techniques can provide accurate slope and intercept values, along with additional statistical measures like the coefficient of determination (R-squared) to assess the line's goodness of fit.

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Answer:

43

Step-by-step explanation:

43 is the most the lowest number while the others are around the same range

Hope this helps! Pls mark brainliest!

Answer:

39°

Step-by-step explanation:

The sum of AXE, AXC and CXF will be 180 because they together span a straight line (EF).

So: y + 90 + y - 12 = 180, which is an equation you can solve by simplifying it:

y + 90 + y - 12 = 180

2y + 78 = 180

y + 39 = 90

y = 90 - 39 = 51

So AXE = 51

AXC = 90

CXF = 51-12 = 39 (the answer)

Check: 51+90+39 = 180

For the given values of SSb, SSW, dfb, and dfw, the value for the mean squares between (MSb) is 7.

To find the mean squares between (MSb), you need to divide the sum of squares between (SSb) by the corresponding degrees of freedom (dfb).

MSb = SSb / dfb

Using the values provided:

SSb = 21

dfb = 3

MSb = 21 / 3

MSb = 7

Therefore, the value for the mean squares between (MSb) is 7.

Mean squares, also known as the mean squared error (MSE), is a statistical measure used to assess the average squared difference between the predicted and actual values in a dataset.

It is commonly used in various fields, including statistics, machine learning, and data analysis, to evaluate the performance of a prediction model or to quantify the dispersion or variability of a set of values.

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