During 2003, a share of stock in Coca-Cola Company sold for $39. Michelle bought 300 shares. During 2008, the price hit $56 per share, but she decided to keep them. By 2016, the price of a share had fallen to $44, and she had to sell them because she needed money to buy a new home. Express the decrease in price as a percent of the price in 2008. Round to the nearest tenth of a percent.

The second derivative test of the function is solved and the local maximum point of the function is at x = -1/2

Given data ,

Let the function be represented as A

Now , the value of A is

f ( x ) = 2x³ + 3x² - 36x + 5

Now , the first derivative of f(x) to obtain f'(x) is

f'(x) = 6x² + 6x - 36

And , the second derivative of f(x) by differentiating f'(x) with respect to x is

f''(x) = 12x + 6

Now , Set f''(x) = 0 and solve for x to find the critical points.

12x + 6 = 0

12x = -6

x = -6/12

x = -1/2

For x < -1/2: Since f''(x) = 12x + 6, and x < -1/2, the value of f''(x) will be negative, indicating that the function is concave down in this interval, and there is no local maximum point.

For x > -1/2: Since f''(x) = 12x + 6, and x > -1/2, the value of f''(x) will be positive, indicating that the function is concave up in this interval, and there may be a local maximum point.

And , If f'(x) is continuous at x = -1/2, then there must be a local maximum point at x = -1/2 since f''(x) changes sign at x = -1/2. We may verify the value of f'(x) at x = -1/2 to see if f'(x) is continuous at x = -1/2.

f'(-1/2) = 6(-1/2)² + 6(-1/2) - 36 = 3 - 3 - 36 = -36

Since f'(-1/2) = -36 is a finite function, we may infer that f'(x) is continuous at x = -1/2 and that x = -1/2 is the location of the local maximum

Hence , the local maximum is at x = -1/2

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To find the probability p(1.6) for a random variable x with a gamma distribution where α=2 and β=1, you'll need to use the gamma probability density function. The gamma is given by:

f(x) = (β^α * x^(α-1) * e^(-βx)) / Γ(α)

where Γ(α) is the gamma function of α.

Now, plug in the values for α, β, and x:

f(1.6) = (1^2 * 1.6^(2-1) * e^(-1*1.6)) / Γ(2)

To calculate Γ(2), note that Γ(n) = (n-1)! for positive integers. In this case, Γ(2) = (2-1)! = 1! = 1.

f(1.6) = (1 * 1.6^1 * e^(-1.6)) / 1 = 1.6 * e^(-1.6)

Therefore, the probability density function value at x=1.6 for a random variable x with a gamma distribution where α=2 and β=1 is:

f(1.6) = 1.6 * e^(-1.6) ≈ 0.33013

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The number of unique access keys that can be designed with the given numbers is 280 possible unique access keys.

This is a permutations problem which means it can be solved by the equation :

Number of permutations = n! / (n1! * n2! * ... * nk!)

Given the numbers, 1, 1, 1, 2, 3, 3, 3, 3, we can apply the formula to be :

Number of permutations = 8 ! / (3 ! x 1 ! x 4 !)

= 40, 320 / (6 x 1 x 24)

= 40, 320 / 144

= 280 possible access keys

In conclusion, a total of 280 possible unique access keys can be made.

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The sum of the series (x-y)^2 + x^2 + y^2 is 2x^2 - 2xy + 2y^2.

From the question, we have the following parameters that can be used in our computation:

(x-y)^2+x^2+y^2

The expression (x-y)^2 can be expanded as:

(x-y)^2 = x^2 - 2xy + y^2

Adding x^2 and y^2, we get:

(x-y)^2 + x^2 + y^2 = x^2 - 2xy + y^2 + x^2 + y^2

Combining like terms, we can simplify this expression to:

(x-y)^2 + x^2 + y^2 = 2x^2 - 2xy + 2y^2

Therefore, the sum of the series (x-y)^2 + x^2 + y^2 is 2x^2 - 2xy + 2y^2.

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Marginal cost (MC) [tex]= dTC/dQ = d(2L + 64)/dQ = 2(3/2)L^{-2/3} = 3L^{-2/3}[/tex]

We must first determine the total cost (TC), variable cost (VC), and fixed cost (FC) for the given production function Q =[tex]4K^{1/3}L^{2/3}[/tex], where K is fixed at 8 units, before sketching the cost curves. The sum of the variable cost and the fixed cost is the total cost:

TC = VC + FC

The variable cost is the cost of variable inputs, which in this case is labor (L), and is given by the equation:

VC = wL

where w is the wage rate. The fixed cost is the cost of fixed inputs, which in this case is capital (K), and is given by the equation:

FC = rK

where r is the rental rate of capital.

We must also calculate the average total cost (ATC), average variable cost (AVC), average fixed cost (AFC), and marginal cost (MC) in order to calculate the cost curves. The equations that follow describe these:

ATC = TC/Q

AVC = VC/Q

AFC = FC/Q

MC = dTC/dQ

Now, let's calculate the cost curves.

Since K is fixed at 8 units, the production function becomes:

Q = [tex]4(8)^{1/3}L^{2/3}[/tex]

Simplifying this equation, we get:

Q = [tex]16L^{2/3}[/tex]

Taking the derivative of the production function with respect to L, we get the marginal product of labor (MPL):

MPL = dQ/dL = (32/3)L^-1/3

Now, we can calculate the cost curves:

Variable cost (VC) = wL = 2L

Fixed cost (FC) = rK = 8(8) = 64

Total cost (TC) = VC + FC = 2L + 64

Average variable cost (AVC) = VC/Q =[tex](2L)/16L^{2/3} = 2L^{1/3}/16[/tex]

Average fixed cost (AFC) = FC/Q = [tex]64/16L^{2/3} = 4/L^{2/3}[/tex]

Average total cost (ATC) = TC/Q =[tex](2L + 64)/16L^{2/3} = (2L^{1/3} + 64/L^{2/3})/16[/tex]

Marginal cost (MC) [tex]= dTC/dQ = d(2L + 64)/dQ = 2(3/2)L^{-2/3} = 3L^{-2/3}[/tex]

Now, Cost curves

The quantity of output (Q) is shown on the x-axis, and the cost is shown on the y-axis. Each line on the vertical axis is scaled to be a multiple of 10 on the scale.

The variable cost curve (VC) is a straight line with a slope of 2 that runs through the origin. The fixed cost curve (FC) is a 64-degree horizontal line.

The sum of the VC and FC curves is the total cost curve (TC). It is a straight line that goes through the point (0, 64) and has a slope of 2.

U-shaped is the average variable cost curve (AVC). At its smallest point, it comes to a stop at the MC curve.

As output rises, the average fixed cost curve (AFC) slopes downward.

U-shaped is the average total cost curve (ATC). At its smallest point, it comes to a stop at the MC curve.

The minimum points of the AVC and ATC curves are intersected by the marginal cost curve (MC), which has a slope that is downward.

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The type of relationship between the sets M and N is intersection.

A set is a collection of well ordered items.

Given that there is in M prime number 2,3,5,7 and in N odd number 1,3,5,7,9 what is type of relation between set m and n?

So, the type of relationship between the sets M and N is intersection.

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The area of the region R = {(x, y) | x² + y² ≤ 25, x ≥ 4} using polar coordinates is 7π square units.

To calculate the area, first, we need to convert the given equations into polar coordinates. The equation x² + y² ≤ 25 becomes r² ≤ 25, which simplifies to 0 ≤ r ≤ 5. The equation x ≥ 4 can be written as r*cos(θ) ≥ 4. Solving for θ, we get 0 ≤ θ ≤ 2π/3 and 4π/3 ≤ θ ≤ 2π.

Now, use the polar area formula: A = 0.5 * ∫(r² dθ). Integrate r²/2 from 0 to 2π/3 and from 4π/3 to 2π, then multiply by the limits' difference. Finally, add the two areas to find the total area of the region, which is 7π square units.

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The sum of 7/10 and 2/5 is 29/50.

Answer: 11/10 is the correct answer to this question.

Step-by-step explanation:

First, we take 7/10 and 2/5. The L.C.M of denominators is equal to 10. As the denominator in 7/10 is already 10 we don't change it but as the denominator in 2/5 is 5 we multiply the numerator and denominator with 2 in order to equalize both. Hence we get 7/10 and 4/10. On adding both the numerators we get 11/10.

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Answer: [tex]F= \frac{G-H}{n}[/tex]

Step-by-step explanation:

I just isolated F by dividing both sides by n.

The value of the car now is approximately $8,920.09.

The value of the car can now be determined using the compound interest formula:

A = P * (1 - r)^n

Where

The beginning sum is $16,490 in this instance, the yearly interest rate is 13%, or 0.13 as a decimal, and the number of years is 5.

We thus have:

A = 16490 * (1 - 0.13)^5 = 16490 * 0.541 = $8920.09

Therefore, the value of the car now is approximately $8,920.09.

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A tree diagram for this scenario would have three branches for screen sizes (10, 12, 15 inches) and then four branches for each of those screen sizes representing the hard drive sizes (50, 100, 150, 200 GB).
b. - A ∩ B: {(10, 50), (10, 100), (12, 50), (12, 100)}

c-- B and C are disjoint events, as they have no common outcomes.

a. A tree diagram for this scenario would have three branches for screen sizes (10, 12, 15 inches) and then four branches for each of those screen sizes representing the hard drive sizes (50, 100, 150, 200 GB).

b.
- A (screen size of 12 inches or smaller): {(10, 50), (10, 100), (10, 150), (10, 200), (12, 50), (12, 100), (12, 150), (12, 200)}
- B (hard drive size of at most 100 GB): {(10, 50), (10, 100), (12, 50), (12, 100), (15, 50), (15, 100)}

- AC: {(10, 150), (10, 200), (12, 150), (12, 200)}
- A ∪ B: All outcomes except for {(15, 150), (15, 200)}
- A ∩ B: {(10, 50), (10, 100), (12, 50), (12, 100)}

c.
- C (order for a laptop with a 200 GB hard drive): {(10, 200), (12, 200), (15, 200)}

- A and C are not disjoint events, as they share common outcomes {(10, 200), (12, 200)}.
- B and C are disjoint events, as they have no common outcomes.

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A two-tailed test is used in sample of 10 observations with an alpha level of 0.10. The critical value for this test is ± 1.697. These critical values are used to determine the rejection region of your hypothesis test.

In a two-tailed test with a sample of 10 observations and alpha equal to 0.10, the critical value would be ±1.697. This means that if the test statistic falls outside of this range, it would be considered statistically significant and we would reject the null hypothesis. The use of a two-tailed test means that we are interested in testing for the possibility of a difference in either direction, as opposed to a one-tailed test where we would only be interested in a difference in one specific direction.

Among the significance tests, single-ended and two-tailed tests are other ways of calculating the significance of the measurements determined from the data set under the test. A two-tailed test is appropriate if the predicted value is greater or less than the value on a test, i.e. whether the test taker will score some points higher or lower. This method is used to test the null hypothesis, if the predicted value is in the critical region, it accepts the alternative hypothesis instead of the null hypothesis. A one-tailed test is appropriate if the estimated value differs from the reference value in one direction (left or right) but not in two directions.

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By answering the presented question, we may conclude that The derivative of the function u(t) is therefore [tex](10t^4 - 14t^2)j.[/tex]

Mathematics is concerned with numbers and their variations, equations and related structures, shapes and their placements, and locations where they may be found.

The term "function" refers to the link between a set of inputs, each of which has an associated output. A function is a relationship between inputs and outputs that produces a single, distinct result for each input.

Each function is given a domain and a codomain, or scope. The letter f is frequently used to represent functions (x). An x is used as the input. The four basic kinds of functions offered are on functions, one-to-one functions, many-to-one functions, within functions, and on functions.

The function you supplied is as follows:

To calculate the derivative of this function, we must take the derivative of each component with respect to t independently.

The product rule of differentiation may be used to find the derivative of the first component [tex]t, 2t^3 (t^2-7).[/tex]

Let f(t) = [tex]2t^3[/tex]and g(t) = [tex]t^2[/tex] - 7. Then, using the product rule, we obtain:

Because k is a constant, the derivative of the second component, -5k, is simply zero.

As a result, the derivative of the function u(t) with respect to t is as follows:

The derivative of the function u(t) is therefore[tex](10t^4 - 14t^2)j.[/tex]

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The two smallest positive solutions for 4 sin(2x) = 2 are x = π/12 and x = 5π/12.

Starting with 4 sin (2x) = 2, we can simplify it by dividing both sides by 4 to get:

sin (2x) = 1/2

To solve for the two smallest positive solutions a and b, we need to find the values of 2x that satisfy sin (2x) = 1/2.

We know that sin (π/6) = 1/2, so one solution is 2x = π/6, which means x = π/12.

The next solution can be found by adding the period of sin (2x), which is π. Therefore, the next solution is 2x = π - π/6 = 5π/6, which means x = 5π/12.

Thus, the two smallest positive solutions for x are:

a = π/12 ≈ 0.26

b = 5π/12 ≈ 1.31

Therefore, the solution is a = 0.26 and b = 1.31.

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Answer:

   A1 = 160 degrees

   A2 = 20 degrees

   B1 = 70 degrees

   C1 = 110 degrees

   C2 = 70 degrees

   D1 = 20 degrees

   AD = 10 cm

   AE = 5√5 cm

   AB = 8 cm

Step-by-step explanation:

To solve this problem, we can start by using the fact that the diagonals of a rectangle are equal in length and bisect each other. Therefore, we know that:

- BD = AC = 10cm

- AE = EC = BD/2 = 5cm

- AB = CD = sqrt(AC^2 + BC^2) = sqrt(10^2 + 8^2) = sqrt(164) ≈ 12.81cm

- AD = BC = 8cm

To find the angles A1, A2, B1, C1, C2, and D1, we can use the following relationships:

- A1 = 180 - D2 = 180 - 20 = 160 degrees

- A2 = 180 - A1 = 180 - 160 = 20 degrees

- B1 = C2 = D2 = 20 degrees

- C1 = 180 - B1 = 180 - 20 = 160 degrees

- D1 = 180 - C2 = 180 - 20 = 160 degrees

Therefore:

- A1 = 160 degrees

- A2 = 20 degrees

- B1 = C2 = D2 = 20 degrees

- C1 = D1 = 160 degrees

Note that angles A1, C1, and D1 are all equal, as are angles A2, B1, and C2, because opposite angles in a rectangle are equal.

Finally, to find AD, we can use the Pythagorean theorem:

- AD = BC = 8cm

And to find AE, we can use the fact that diagonals bisect each other:

- AE = EC = BD/2 = 5cm

Therefore:

- AD = 8cm

- AE = 5cm

- AB ≈ 12.81cm

- A1 = 160 degrees

- A2 = 20 degrees

- B1 = C2 = D2 = 20 degrees

- C1 = D1 = 160 degrees

The length of the equiangular spiral r =  [tex]e^{\theta}[/tex]  for 0 ≤ θ ≤ 2/10 pi is approximately 1.8315.

To find the length of the equiangular spiral r =  [tex]e^{\theta}[/tex]  for 0 ≤ theta ≤ 2/10 pi, we use the formula for the arc length of a polar curve: L = ∫√(r² + (dr/dθ)²) dθ.

For r = [tex]e^{\theta}[/tex] the derivative dr/dθ =  [tex]e^{\theta}[/tex] . Now, we can find the arc length L:

L = ∫(from 0 to 2/10 pi) √(( [tex]e^{\theta}[/tex] )² + ( [tex]e^{\theta}[/tex] )²) dθ.  

By factoring out [tex]e^{2\theta}[/tex], we get:

L = ∫(from 0 to 2/10 pi)  [tex]e^{\theta}[/tex]  √(1 + 1) dθ.

Next, integrate:

L =  [tex]e^{\theta}[/tex] (√2) | from 0 to 2/10 pi.

Evaluating the integral:

L = (√2)([tex]e^\frac{2}{10} ^{\pi}[/tex] - e⁰).

L ≈ 1.8315.

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Answer:

2

Step-by-step explanation:

The region bounded above by the surface z=4 cos xsin y and below by the rectangle R:

We can use a double integral to find the volume of the region:

V = ∫∫R 4cos(x)sin(y) dA

where R is the rectangle defined by:

0 ≤ x ≤ π/2

0 ≤ y ≤ π/2

Then we can evaluate the integral as follows:

V = ∫∫R 4cos(x)sin(y) dA

= ∫0^(π/2) ∫0^(π/2) 4cos(x)sin(y) dxdy

= ∫0^(π/2) [4sin(x)](0 to π/2) dy

= ∫0^(π/2) 4sin(π/2) dy

= 4(sin(π/2))(π/2 - 0)

= 4(1)(π/2)

= 2π

Therefore, the volume of the region bounded above by the surface z=4 cos xsin y and below by the rectangle R is 2π.

The line through the point (2,0,0) and with direction vector (-1, a, 1) intersects the paraboloid z = x² + y² in only a single point for a = 0 or a = √(2).

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To find the intersection points, we can substitute the equation of the line into the equation of the paraboloid:

z = x² + y²
z = (2-t)² + a*t²
x = 2-t
y = a*t
where t is the parameter for the line.

Substituting x and y into the equation of the paraboloid gives:
z = (2-t)² + a^2*t²

To find the values of a where the line intersects the paraboloid in only a single point, we need to find the values of a where this equation has exactly one solution. This occurs when the discriminant of the quadratic equation in t is zero:

a²*(2-a²) = 0
a = 0 or a = √(2)

Therefore, the line through the point (2,0,0) and with direction vector (-1, a, 1) intersects the paraboloid z = x² + y² in only a single point for a = 0 or a = √(2).

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Answer:

Add a dot (Point A) 5 units to the left of point C, a dot (Point B) 7 units below point C, and a final dot (Point D) that is 5 units across from Point B

Step-by-step explanation:

Using the definition of a rectangle (4 right angles)
- Length is usually viewed as left to right

- Width is usually viewed as top to bottom

Answer: 400 miles

Step-by-step explanation: every hour, his distance decreases by 50 miles. After 4 hours, his distance is 200 miles, so 50 miles times 4 hours = 200 miles+the original 200 miles =400 miles.

To find the volume of the region in the first octant bounded by the coordinate planes, the plane y + z = 2, and the cylinder x = 4 − y^2, we need to first graph the given surfaces in 3D space.

The coordinate planes are the x-y, x-z, and y-z planes. In the first octant, these planes bound the region from below and on the sides.

The plane y + z = 2 is a plane that passes through the origin and intersects the y-z plane at y = 2 and z = 0, and the z-x plane at x = 2 and z = 0,The cylinder x = 4 − y^2 is a cylinder with radius 2 and centered at the origin, since it is a function of y^2 and only extends to y = 2 in the first octant.

To find the volume of the region bounded by these surfaces, we need to integrate over the region. We can do this by dividing the region into small rectangular prisms, and integrating over each prism.The limits of integration for x are 0 to 4 − y^2, the limits for y are 0 to 2, and the limits for z are 0 to 2 − y.
Therefore, the volume of the region is given by the triple integral: ∫∫∫ (dV) = ∫0^2 ∫0^(4-y^2) ∫0^(2-y) dz dxdy.

Evaluating the integral, we get: ∫∫∫ (dV) = ∫0^2 ∫0^(4-y^2) (2-y) dx dy
∫∫∫ (dV) = ∫0^2 (2-y)(4-y^2) dy
∫∫∫ (dV) = ∫0^2 8-4y^2-2y+ y^3 dy
∫∫∫ (dV) = [8y - 4y^3/3 - y^2 + y^4/4]0^2
∫∫∫ (dV) = 32/3, Therefore, the volume of the region in the first octant bounded by the coordinate planes, the plane y + z = 2, and the cylinder x = 4 − y^2 is 32/3 cubic units.

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a. After 11 days, approximately 91.91% of the animals will be affected.

b. It will take around 20.83 days for 90% of the animals to become infected. The answer, rounded to two decimal places, is 20.83 days.

A logarithm is defined as the number of powers to which a number must be increased in order to obtain some other numbers. It is the simplest way to express enormous numbers. A logarithm has several key features that demonstrate that logarithm multiplication and division can also be represented in the form of logarithm addition and subtraction.

A) To find the percentage of animals infected after 11 days, we simply substitute t = 11 into the given equation for V(t):

V(11) = 100/ [tex](1 + 99e^{(-0.186*11)})[/tex]

Using a calculator, we get:

V(11) ≈ 91.91%

Therefore, about 91.91% of the animals will be infected after 11 days.

B) To find the time it takes until exactly 90% of the animals are infected, we need to solve the equation V(t) = 90 for t.

Substituting V(t) into the equation, we get:

90 = 100/ [tex](1 + 99e^{(-0.186t)})[/tex]

Multiplying both sides by [tex](1 + 99e^{(-0.186t)})[/tex], we get:

[tex]90 + 90e^{(-0.186t)} = 100[/tex]

Simplifying, we get:

[tex]e^{(-0.186t)} = 1/9[/tex]

Taking the natural logarithm of both sides, we get:

-0.186t = ln(1/9)

Solving for t, we get:

t ≈ 20.83 days

Therefore, about 20.83 days will elapse until exactly 90% of the animals are infected. Rounded to 2 decimal places, the answer is 20.83 days.

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x(0) = 0.25 in (initial displacement from equilibrium). x'(0) = 0 ft/s (initial velocity)

We can use Newton's second law to formulate the initial value problem that governs the motion of the mass. The equation is given by:

m*a = F_net

where m is the mass, a is the acceleration, and F_net is the net force acting on the mass.

The net force can be found as the sum of the spring force, the viscous resistance force, and the force due to gravity. Therefore, we have:

F_net = F_spring + F_viscous + F_gravity

where F_spring is the force exerted by the spring, F_viscous is the force due to the viscous resistance, and F_gravity is the force due to gravity.

The force exerted by the spring is given by Hooke's law:

F_spring = -k*x

where k is the spring constant and x is the displacement from the equilibrium position. Since the spring stretches 3 in under a weight of 4 lb, we can find k as:

k = F/x = 4/3 = 4/0.25 = 16 lb/in

Therefore, the force exerted by the spring is:

F_spring = -16*x

The force due to viscous resistance is proportional to the velocity of the mass and is given by:

F_viscous = -c*v

where c is the viscous damping coefficient and v is the velocity of the mass. Since the viscous resistance force is 6 lb when the velocity is 3 ft/s, we can find c as:

c = F_viscous/v = 6/3 = 2 lb·s/ft

Therefore, the force due to viscous resistance is:

F_viscous = -2*v

The force due to gravity is given by:

F_gravity = -m*g

where g is the acceleration due to gravity (32.2 ft/s^2).

Substituting these equations into the equation for net force, we get:

ma = -16x - 2v - mg

Since the displacement x and the velocity v are both functions of time t, we can rewrite this equation as a second-order ordinary differential equation in terms of x:

mx'' + 2cx' + kx = m*g

where x' and x'' denote the first and second derivatives of x with respect to t, respectively.

This is the initial value problem that governs the motion of the mass, subject to the initial conditions:

x(0) = 0.25 in (initial displacement from equilibrium)

x'(0) = 0 ft/s (initial velocity)

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Answer:

Yes, these two figures are similar because the ratios of corresponding sides are equal.

UR = ST = 2, RS = TU = 3

YV = WX = 4, VW = XY = 6

UR/RS = YV/VW

ST/TU = WX/XY

The calculated value of the surface area of the cube is 294 mm^2

From the question, we have the following parameters that can be used in our computation:

The cube

The side length of the cube is

Length = 7 mm

The surface area of the cube is calculated as

Surface area = 6 * Length^2

Substitute the known values in the above equation, so, we have the following representation

Surface area = 6 * 7^2

Evaluate

Surface area = 294 mm^2

Hence the surface area is 294 mm^2

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The time period is given by

[tex]A(t) = -40e^{-5t-8.008}+80000[/tex]

a) Let's use the following variables:

t: time in minutes

A(t): amount of salt in the tank at time t in grams

V(t): volume of water in the tank at time t in gallons

Initially, the tank contains 300 grams of salt in 200 gallons of water, so the concentration of salt is:

[tex]C(0) = \frac{300g}{200gal} = 1.5g/gal[/tex]

As the brine solution is pumped into the tank at a rate of 5 gallons per minute and at a concentration of 0.4 kilograms of salt per gallon of water, the concentration of salt in the incoming solution is:

[tex]c_{in} = 0.4 kg/gal \times \frac{1000g}{1kg} \times \frac{1gal}{1L} = 400g/gal[/tex]

Let's assume that the tank is well-stirred, so the concentration of salt in the tank is uniform at any given time. Then, we can use the following differential equation to model the amount of salt in the tank:

[tex]\frac{dA}{dt} =c_(in) \times \frac{dV}{dt} - c(t) \times \frac{dV}{dt}[/tex]

where [tex]\frac{dV}{dt}\\[/tex] is the rate of change of the volume of water in the tank. We know that water is pumped into and out of the tank at the same rate of 5 gallons per minute, so [tex]\frac{dV}{dt} = 0[/tex], and the differential equation simplifies to:

[tex]\frac{dA}{dt} = c_(in) \times 5 -c(t) \times 5 = 2000 - 5c(t)[/tex]

This is a separable differential equation that we can solve by separating the variables and integrating:

[tex]\frac{dA}{2000-5c} = dt\\\\ \int \frac{dA}{2000-5c} = \int dt\\\\-\frac{1}{5} ln|2000 - 5c| = t+C\\\\c(t) = -\frac{1}{5} e^(-5t-5C) +400[/tex]

We can find the constant C by using the initial condition c(0) = 1.5, we get

[tex]C = ln3001.5 =8.008\\[/tex]

Therefore, the amount of salt in the tank at time t is,

[tex]A(t) = V(t) \times c(t)\\A(t) = 200 \times (-\frac{1}{5} e^{-5t-8.008}+400 )\\A(t) = -40e^{-5t-8.008}+80000[/tex]

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The point estimate of the population mean is 18.4. Therefore, the correct answer is (d) is 18.4

When conducting a statistical study, it is important to have a good understanding of the population in question. In such cases, a sample of the population can be taken to infer information about the population.

One of the key parameters that is of interest is the population mean. The population mean represents the average value of a particular characteristic in the entire population. However, since it is usually not possible to collect data from the entire population, we use the sample mean as an estimate of the population mean.

In the given scenario, a simple random sample of a population was taken, and the following data was collected: 13, 17, 18, 21, 23. The point estimate of the population mean can be calculated by taking the mean of the sample.

The sample mean is calculated as follows:

(13 + 17 + 18 + 21 + 23) / 5 = 92 / 5 = 18.4

Therefore, the point estimate of the population mean is 18.4, option (d).

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a. Using poisson distribution The average time a car is in the system, considering waiting in line and receiving service, is 12 minutes.

b. The average number of cars in the system, considering both waiting in line and receiving service, is 10.8 cars.

c. The average number of cars waiting to receive service is 10 cars.

a. The average time a car is in the system can be calculated as the sum of the average time spent waiting in line and the average time spent receiving service. Let's calculate each of these separately:

Average time spent waiting in line: Since arrivals follow a Poisson distribution with a rate of 4 every 10 minutes, the interarrival time (time between consecutive arrivals) follows an exponential distribution with parameter λ = 4/10 = 0.4.

The average interarrival time is 1/λ = 2.5 minutes. By Little's law, the average number of cars waiting in line is equal to the product of the arrival rate and the average time spent waiting, which is 4(2.5) = 10 minutes.

Average time spent receiving service: Since service times are exponentially distributed with a mean of 2 minutes, the average time spent receiving service is also 2 minutes.

Therefore, the average time a car is in the system is 10 + 2 = 12 minutes.

b. The average number of cars in the system can be calculated as the sum of the average number of cars waiting in line and the average number of cars receiving service. Since service times are exponentially distributed and arrivals follow a Poisson distribution, the system can be modeled as an M/M/1 queue.

The average number of cars waiting in line can be calculated using Little's law, which gives us 4(2.5) = 10 cars. The average number of cars receiving service can be calculated as the ratio of the average service time to the average interarrival time, which is 2/2.5 = 0.8 cars. Therefore, the average number of cars in the system is 10 + 0.8 = 10.8 cars.

c. The average number of cars waiting to receive service can be calculated as the difference between the average number of cars in the system and the average number of cars receiving service. Therefore, the average number of cars waiting to receive service is 10.8 - 0.8 = 10 cars.

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Answer:

3x12.50 no need equation

Answer:

3x12.50 no need equation

The indefinite integral is ∫ x / √(x^2 - 6x + 39) dx = √(x^2 - 6x + 39)/2 + C.

To complete the square in the denominator of the integrand, we need to add and subtract a constant:

x^2 - 6x + 39 = (x^2 - 6x + 9) + 30 = (x - 3)^2 + 30

So we can rewrite the integrand as:

x / √[(x - 3)^2 + 30]

Next, we can use the substitution u = (x - 3)^2 + 30 to simplify the integral. Then, du/dx = 2(x - 3), which means dx = du/(2(x - 3)). Making this substitution gives:

∫ x / √[(x - 3)^2 + 30] dx = 1/2 ∫ du/√u

Now, we can use the substitution v = √u, which means dv/dx = 1/(2√u) du/dx = 1/(2√u)(2(x - 3)) = (x - 3)/√u, and dx = 2v dv/(x - 3). Making this substitution gives:

1/2 ∫ du/√u = 1/2 ∫ dv = 1/2 v + C

Substituting back for v and u, we get:

1/2 ∫ x / √[(x - 3)^2 + 30] dx = 1/2 ∫ dv = 1/2 √[(x - 3)^2 + 30] + C

Therefore, the indefinite integral of x / √(x^2 - 6x + 39) dx is:

∫ x / √(x^2 - 6x + 39) dx = √(x^2 - 6x + 39)/2 + C

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