Suppose the distribution of the time X (in hours) spent by students at a certain university on a particular project is gamma with parameters a = 40 and B = 4. Because a is large, it can be shown that X has approximately a normal distribution. Use this fact to compute the approximate probability that a randomly selected student spends at most 175 hours on the project. (Round your answer to four decimal places.)

Answer:

84 tons

Step-by-step explanation:

Let's assume that Train B weighs x tons.

According to the problem, Train A is heavier than Train B, so we can express the weight of Train A in terms of x + 324.

We know that the total weight of both trains is 492 tons, so we can set up an equation:

x + (x + 324) = 492

Simplifying this equation:

2x + 324 = 492

2x = 168

x = 84

So Train B weighs 84 tons.

We can now find the weight of Train A by adding the difference between their weights (324 tons) to the weight of Train B:

Train A = Train B + 324 = 84 + 324 = 408

Therefore, Train A weighs 408 tons and Train B weighs 84 tons.

Answer:

Train A =408

Train B = 84

Step-by-step explanation:

This is a math problem that can be solved by using a system of equations. Let x be the weight of Train A and y be the weight of Train B. Then we have:

x + y = 492 x - y = 324

Adding these two equations, we get:

2x = 816 x = 408

Substituting x into the first equation, we get:

408 + y = 492 y = 84

Therefore, Train A weighs 408 tons and Train B weighs 84 tons.

HOPE THAT HELPS! :D

The solution to the differential equation x(dy/dx) - 4y = 7x^4 * e^x

is  [tex]y(x) = 7 * e^x + C * x^4.[/tex]

To solve the differential equation x(dy/dx) - 4y = 7x^4 * e^x, follow these steps:

Step 1: Identify the type of differential equation. This equation is a first-order linear differential equation, as it has the form

x(dy/dx) + p(x)y = q(x).

Step 2: Find the integrating factor. The integrating factor is given by e^(∫p(x)dx).

In this case, p(x) = -4/x, so the integrating factor is

[tex]e^(\int ^(^-^4^/^x^)^d^x^) = e^(-4^l^n^|^x^|^) = x^(^-^4^).[/tex]

Step 3: Multiply the entire differential equation by the integrating factor.

This gives [tex]x^(-4)(x(dy/dx) - 4y) = x^(-4) * 7x^4 * e^x[/tex].

Step 4: Simplify the equation. The left side of the equation becomes (dy/dx) - 4/x * y, and the right side becomes 7 * e^x.

Step 5: Integrate both sides of the equation.

[tex]\int (dy/dx) - 4/x * y dx = \int7 * e^x dx.[/tex]

Step 6: The left side becomes y(x), and the right side becomes 7 * e^x + C, where C is the constant of integration.

Step 7: Solve for y(x). The final solution is[tex]y(x) = 7 * e^x + C * x^4.[/tex]
So, the solution to the differential equation [tex]x(dy/dx) - 4y = 7x^4 * e^x[/tex]

is[tex]y(x) = 7 * e^x + C * x^4.[/tex]

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Therefore, the coldest day of the year in Fairbanks, Alaska, based on this model, is predicted to occur on October 11 (since t=0 corresponds to January 1, the 283rd day of the year is October 11).

To find the coldest day of the year, we need to find the minimum value of the function T, which represents the expected low temperature in Fairbanks, Alaska.

We can start by finding the derivative of the function with respect to t:

[tex]d(T)/dt = 36 * cos[2\pi/365(t-101)] * 2\pi/365[/tex]

Setting this derivative equal to zero and solving for t will give us the values of t that correspond to the minimum and maximum temperatures.

[tex]0 = 36 * cos[2\pi/365(t-101)] * 2\pi/365[/tex]

[tex]cos[2\pi /365(t-101)] = 0[/tex]

[tex]2pi/365(t-101) = pi/2 + n*\pi[/tex], where n is an integer.

[tex]t-101 = 182.5 + 365n[/tex]

[tex]t = 283.5 + 365n[/tex]

This equation gives us the values of t that correspond to the days when the minimum and maximum temperatures occur. We can see that the smallest value of t is obtained when n=0, which gives:

[tex]t = 283.5[/tex]

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The range of possible values for f(12) - f(1) is [110, 156].

For the range of possible values for f(12) - f(1),using the Mean Value Theorem, we know that there exists a c in (1,12) such that:

f(12) - f(1) = (12 - 1) f'(c)

Since we know that 11 ≤ f'(x) ≤ 13 for all x in (1,12), we can use these bounds to find the range of possible values for f(12) - f(1):

11 ≤ f'(c) ≤ 13

11(12-1) ≤ (12-1)f'(c) ≤ 13(12-1)

110 ≤ f(12) - f(1) ≤ 156

Therefore, the range of possible values for f(12) - f(1) is [110, 156].

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The population of rabbits on a farm grows by 12% each year. The sequence starts with r0 = 30.

(a) A mathematical expression for r12 is r12 = (1 + 0.12)r11 = [tex](1 + 0.12)(1 + 0.12)^{10}(30)[/tex] = [tex](1 + 0.12)^{11}(30)[/tex]

(b) If each rabbit consumes 10 pounds of rabbit food each year, then rabbit food consumed in 10 years is 10(r0(1 - [tex](1 + 0.12)^{10})[/tex] / -0.12) = [tex]10(30(1 - (1 + 0.12)^{10})[/tex] / -0.12)

To define the sequence {rn}, we can use the formula:
rn = (1 + 0.12)rn-1
where rn-1 is the rabbit population at the end of the previous year.
Starting with r0 = 30, we can calculate the population at the end of each year:
r1 = (1 + 0.12)r0 = 33.6
r2 = (1 + 0.12)r1 = 37.632
r3 = (1 + 0.12)r2 = 42.150144
...
rn = (1 + 0.12)rn-1
(a) To find a mathematical expression for r12, we can use the formula:
r12 = (1 + 0.12)r11
where r11 is the rabbit population at the end of the 11th year:
r11 = (1 + 0.12)r10 = [tex](1 + 0.12)^{10}r0[/tex]
Substituting r0 = 30, we get:
r11 = [tex](1 + 0.12)^{10}(30)[/tex]
Therefore, the mathematical expression for r12 is:
r12 = (1 + 0.12)r11 = [tex](1 + 0.12)(1 + 0.12)^{10}(30)[/tex] = [tex](1 + 0.12)^{11}(30)[/tex]
(b) The total amount of rabbit food consumed in 10 years can be expressed as:
10(r0 + r1 + r2 + ... + r9)10
To simplify the expression, we can use the formula for the sum of a geometric sequence:
r0[tex](1 - (1 + 0.12)^{10})[/tex] / (1 - (1 + 0.12)) = r0[tex](1 - (1 + 0.12)^{10})[/tex] / -0.12
Substituting r0 = 30, we get:
10(r0 + r1 + r2 + ... + r9) = [tex]10(r0(1 - (1 + 0.12)^{10})[/tex] / -0.12)
Therefore, the closed-form mathematical expression for the amount of rabbit food consumed in 10 years is:
10(r0(1 - [tex](1 + 0.12)^{10})[/tex] / -0.12) = [tex]10(30(1 - (1 + 0.12)^{10})[/tex] / -0.12)

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One example of a real world problem where using a doubly linked list is more appropriate than a vector is in implementing a web browser's back button functionality.

In a web browser, the user can navigate back and forth between different pages they have visited. The back button functionality requires keeping track of the pages in a specific order.

A doubly linked list allows for efficient traversal both forwards and backwards through the list of pages, whereas a vector would require shifting elements every time the user navigates back or forward.

Therefore, one example of a real world problem where using a doubly linked list is more appropriate than a vector is in implementing a web browser's back button functionality.

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The marginal product of the second worker is 25 students.

What is the marginal product?

The extra product that is created as a result of including an additional unit of input is referred to as a marginal product. A marginal product, then, is a change in the production output brought on by a change in the production input.

When all other units remain constant, marginal production is the additional output that a business produces by adding one additional labour unit. You can enhance the quantity of product you create by introducing new factors of production.

Marginal product of n th worker =total output of n workers - total output of n-1 workers

MP(n)=TP(n)-TP(n-1)

MP(2)=45-20

=25 units

Thus, The marginal product of the second worker is 25 students.

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The function y = A + Ce^(kt) is a solution to the differential equation dy/dt = k(Ay - 1) with A and k being positive constants. Here, the differential equation dy/dt = k(Ay - 1) and need to find which function among the given options is a solution to it. Let's check each option one by one:

Step:1 y = A^-1 + Ce^(Akt)
Differentiate this function with respect to t:
dy/dt = C * Ak * e^(Akt)
Now, plug this into the differential equation:
C * Ak * e^(Akt) = k(A(A^-1 + Ce^(Akt)) - 1)
This does not simplify to the original equation. So, option A is not a solution.
Step:2. y = A + Ce^(-kt)
Differentiate this function with respect to t:
dy/dt = -kC * e^(-kt)
Now, plug this into the differential equation:
-kC * e^(-kt) = k(A(A + Ce^(-kt)) - 1)
This does not simplify to the original equation either. So, option B is not a solution.
Step:3. y = A + Ce^(kt)
Differentiate this function with respect to t:
dy/dt = kC * e^(kt)
Now, plug this into the differential equation:
kC * e^(kt) = k(A(A + Ce^(kt)) - 1)
Divide both sides by k:
C * e^(kt) = A(A + Ce^(kt)) - 1
This equation does simplify to the original equation. So, option C is a solution to the given differential equation.
Thus, your answer is: The function y = A + Ce^(kt) is a solution to the differential equation dy/dt = k(Ay - 1) with A and k being positive constants.

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(a) To find the upward-pointing unit normal vector at (2,2,1), we need to compute the gradient of the quadratic surface given by 4x² - y² - 2z² = 10.

The gradient is given by:
∇f = <∂f/∂x, ∂f/∂y, ∂f/∂z>
∇f = <8x, -2y, -4z>

At point (2,2,1), the gradient is:
∇f(2,2,1) = <16, -4, -4>

To find the upward-pointing unit normal, we normalize this vector and ensure the z-component is positive:
Unit normal = <16, -4, -4> / |<16, -4, -4>| = <16/18, -4/18, -4/18> = <8/9, -2/9, -2/9>

(b) To find the equation of the tangent plane P at (2,2,1), use the point-normal form of a plane equation:
P: (x - x₀, y - y₀, z - z₀) · <8/9, -2/9, -2/9> = 0
Substitute the point (2,2,1):
P: (x - 2, y - 2, z - 1) · <8/9, -2/9, -2/9> = 0

Expanding this equation, we get:
P: 8(x-2)/9 - 2(y-2)/9 - 2(z-1)/9 = 0

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Answer:

y = 2x + 1

Step-by-step explanation:

To find the explicit formula represented by the given points, we can use the slope-intercept form of a linear equation, which is y = mx + b, where m is the slope and b is the y-intercept.

First, let's find the slope using any two points from the given points:

Slope = (change in y) / (change in x) = (7-9)/(3-4) = -2/-1 = 2

Now we have the slope (m = 2). We can use any of the points and the slope to find the y-intercept (b).

Using the point (4,9):

y = mx + b

9 = 2(4) + b

9 = 8 + b

b = 1

Therefore, the explicit formula represented by the graph is:

y = 2x + 1

Hope this helps!

The probability that at least 2 batteries will work for more than 2 months is approximately 0.06 or 6%, rounded off to the second decimal place.

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The correct answer is d. 11 = 11 0 +11 and option (a). This equation is produced as a step when using the Euclidean algorithm to find the greatest common divisor (gcd) of the given integers (11,1).

In this step, we divide 11 by 1 and get a quotient of 11 with a remainder of 0, represented by the equation 11 = 11(1) + 0. This means that 11 is the gcd of 11 and 1. The Euclidean algorithm finds the greatest common divisor (GCD) of two given integers. In this case, the integers are 11 and 1. Here's the step-by-step explanation:
1. Divide the larger integer (11) by the smaller integer (1).
2. Check the remainder. If the remainder is 0, the smaller integer (1) is the GCD.
3. If the remainder is not 0, repeat the process with the smaller integer (1) and the remainder.

Since 1 is a divisor of every integer, the GCD of (11, 1) is 1. The equation that represents this step in the Euclidean algorithm is:
a. 1 = 1 * 0 + 1
So, the correct answer is an option (a).

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Comparing the two functions, we see that they have the same slope (-7/g), but different y-intercepts (3 vs 145/g). Therefore, the correct answer is: It has the same slope and a different y-intercept, which is option (b).

A linear function is a numerical capability that can be addressed by a straight line on a chart.

It has the structure y = mx + b, where m is the slant of the line and b is the y-catch.

Modeling relationships between two variables with a constant rate of change is done with the help of linear functions.

The linear function with a slope of -7/g and a y-intercept of 3 can be represented by the equation y = (-7/g)x + 3.

The linear function represented by the equation y + 11 = (-7/g)(x - 18) can be rewritten in slope-intercept form as y = (-7/g)x + 145/g.

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The probability that a randomly selected student speaks French, given that the student is female, is 3/20.

The probability that a randomly selected student speaks French given that the student is female can be found using Bayes' theorem.

Let F be the event that a student speaks French, and let G be the event that a student is female. Then, we want to find P(F | G), the probability that a student speaks French given that the student is female.

We know that P(F) is the overall probability that a student speaks French, regardless of gender. This can be computed using the total number of French-speaking students divided by the total number of students:

P(F) = (2 + 6) / 35 = 8 / 35

We also know that P(G) is the overall probability that a student is female. This can be computed using the total number of female students divided by the total number of students:

P(G) = 21 / 35 = 3 / 5

Finally, we need to find P(G | F), the probability that a student is female given that the student speaks French. This can be computed using the formula for conditional probability:

P(G | F) = P(F | G) * P(G) / P(F)

We are given that six of the French-speaking students are male, so the remaining two must be female. Therefore, P(F | G) = 2 / 21. Substituting in the values we have computed, we get:

P(G | F) = (2 / 21) * (3 / 5) / (8 / 35) = 3 / 20

Therefore, the probability that a randomly selected student speaks French, given that the student is female, is 3/20.

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(a) Rejection region: Reject H0 if the calculated test statistic falls below the lower critical value or above the upper critical value at α/2 = 0.025.

(b) Rejection region: Reject H0 if the calculated test statistic exceeds the upper critical value at α = 0.025.

(c) Rejection region: Reject H0 if the calculated test statistic falls below the lower critical value at α = 0.01.

We have,

To determine the rejection region for the Wilcoxon signed rank test, we need to consider the sample size (n), the alternative hypothesis (Ha), and the significance level (α).

The rejection region consists of the critical values that, if exceeded, would lead to the rejection of the null hypothesis (H0).

Here are the rejection regions for each set of hypotheses:

(a)

H0: M = 0 versus Ha: M ≠ 0, n = 19, α = 0.05:

The rejection region consists of the lower and upper critical values of the Wilcoxon signed rank test at significance level α/2 = 0.05/2 = 0.025.

(b)

H0: M ≤ 0 versus Ha: M > 0, n = 8, α = 0.025:

The rejection region consists of the upper critical value of the Wilcoxon signed rank test at significance level α = 0.025.

(c)

H0: M ≥ 0 versus Ha: M < 0, n = 14, α = 0.01:

The rejection region consists of the lower critical value of the Wilcoxon signed rank test at significance level α = 0.01.

Thus,

(a) Rejection region: Reject H0 if the calculated test statistic falls below the lower critical value or above the upper critical value at α/2 = 0.025.

(b) Rejection region: Reject H0 if the calculated test statistic exceeds the upper critical value at α = 0.025.

(c) Rejection region: Reject H0 if the calculated test statistic falls below the lower critical value at α = 0.01.

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If the given matrix is A= [ c,4,-4 c,-2,4 -4,0,c], then there are no real values for which the matrix A is singular.

Explanation:

To find the values of c for which the matrix A is singular, follow these steps:

Step 1: we need to find when its determinant is equal to zero. The matrix A is given as:

A = | c  4 -4 |
     | c -2  4 |
     |-4  0  c |

Step 2: Now, we need to calculate the determinant of A:

det(A) = c(((-2)c) - (4*0)) - 4((c*c) - (4*-4)) - 4((c*0) - (-4*-2))

det(A) = c(-2c) - 4(c^2 + 16) - 4(8)

det(A) = -2c^2 - 4c^2 - 64 + 32

det(A) = -6c^2 - 32

Step 3: Now, set the determinant equal to zero and solve for c:

0 = -6c^2 - 32

Divide by -6:

0 = c^2 + 32/6

0 = c^2 + 16/3

c^2= - 16/3
As there are no real values of c that satisfy this equation, there are no real values for which the matrix A is singular.

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The label covers 11,936 over 7 square centimeters of the wheel.

The cylindrical-shaped wheel of cheese has a radius of 22 centimeters and a height of 16 centimeters. The label covers the entire wheel except the circular top and bottom. Therefore, the area covered by the label is the lateral surface area of the cylinder.

The lateral surface area of a cylinder can be calculated using the formula 2πrh, where r is the radius of the base, h is the height, and π is approximately equal to 22/7.

Substituting the given values, we get:

Lateral surface area = 2 × (22/7) × 22 × 16

Lateral surface area = (44/7) × 22 × 16

Lateral surface area = 1,936 square centimeters (approx.)

Therefore, the label covers approximately 1,936/7 square centimeters of the wheel. The closest option is (C) 1,936 over 7 square centimeters.

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The transformation matrix T from b to b' is:

This can be obtained by writing the coordinates of the basis vectors of b' as linear combinations of the basis vectors of b and forming a matrix with these coefficients.

To find the transformation matrix from one ordered basis to another, we need to express the coordinates of the basis vectors of the new basis (b') as linear combinations of the basis vectors of the old basis (b). The columns of the transformation matrix T are these coefficients.

To obtain these coefficients, we solve the system of equations T[v] = [v'] for each basis vector v of b', where v' are the coordinates of v in b'. This results in a matrix T where each column represents the coefficients of a basis vector of b' expressed in terms of the basis vectors of b.

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Our approximation for sqrt(49.2) is approximately 7.01428571.

To use linear approximation to approximate √(49.2), we first need to find the equation of the tangent line to f(x) = √(x) at x = 49.

1. Find the derivative of f(x): f'(x) = d(√(x))/dx = 1/(2*√(x))
2. Evaluate f'(x) at x = 49: f'(49) = 1/(2*√(49)) = 1/14
So, the slope (m) of the tangent line is 1/14.

3. Evaluate f(x) at x = 49: f(49) = √(49) = 7
4. Use the point-slope form of a linear equation to find b: y - 7 = (1/14)(x - 49)
5. Solve for b: b = 7 - (1/14)(49) = 0

Now, we have the equation of the tangent line: y = (1/14)x

Finally, use the tangent line equation to approximate sqrt(49.2):
y ≈ (1/14)(49.2) = 3.51428571

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Area between the curves is approximately 9.80 square units.

The area between y = 2 and y = (x-1)² - 4 with x ≥ 0 can be found using the definite integral. First, find the points of intersection, then integrate the difference of the functions between these points, and round the result to 2 decimal places if needed.

To find the points of intersection, set the two functions equal to each other:

2 = (x-1)² - 4

Solve for x:

(x-1)² = 6
x-1 = ±√6
x = 1 ± √6

The points of intersection are x = 1 - √6 ≈ -1.45 and x = 1 + √6 ≈ 3.45.

Now, integrate the difference of the functions between these points:

Area = ∫[-1.45, 3.45] (2 - ((x-1)² - 4)) dx

Evaluate the integral, and round the result to 2 decimal places:

Area ≈ 9.80 square units.

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The population of bacteria in the culture after 17 hours is approximately 588,800.

Using the formula Pt = Po x [tex]2^{(t/d)}[/tex], where Pt is the population which is obviously after t hours, Po, which is the initial population, and t, which is the time in hours and d is the doubling time, we can calculate the population after 17 hours as follows:

Pt = Po x [tex]2^{(t/d)}[/tex]

Pt = 46000 x [tex]2^{(17/7)}[/tex]

Pt = 46000 x 2.9722

Pt ≈ 137,032.8

However, since we need to round to the nearest whole number, the population after 17 hours is approximately 588,800.

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Given matrix:

a = |1 1 −4|

   | 0 2 1 |

   | 1−1 −5|

The rank of A is 2 and the nullity of A is 1.

To find the rank and nullity of the matrix A, we first need to put the matrix in row-echelon form. The given matrix A is:

A = | 1  1 -4 |
    | 0  2  1 |
    | 1 -1 -5 |

Step 1: Subtract the first row from the third row:

A = | 1  1 -4 |
    | 0  2  1 |
    | 0 -2 -1 |

Step 2: Add the third row to the second row:

A = | 1  1 -4 |
    | 0  0  0 |
    | 0 -2 -1 |

Since we cannot simplify this matrix further, this is the row-echelon form of A.

Now, let's find the rank and nullity.

The rank of a matrix is the number of linearly independent rows or the number of non-zero rows in its row-echelon form. In this case, there are two non-zero rows, so the rank of A is 2.

The nullity of a matrix is the number of free variables or the difference between the number of columns and the rank. In this case, there are 3 columns and the rank is 2, so the nullity of A is 3 - 2 = 1.

Therefore, the rank of A is 2 and the nullity of A is 1.

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The critical points of the function f(x) = 2x^3 + 3x^2 - 120x + 4 on the interval [-5, 8] are x = -5 and x = 4. The function has a local minimum at x = -5 and a local maximum at x = 4. The absolute minimum value of the function on the interval is 9, and the absolute maximum value is 3484.

To locate the critical points, we need to find the values of x where the derivative of the function f(x) is zero or undefined. So, let's first find the derivative of f(x)

f'(x) = 6x^2 + 6x - 120

Setting f'(x) = 0, we get

6x^2 + 6x - 120 = 0

Simplifying this equation, we get

x^2 + x - 20 = 0

Factoring the equation, we get

(x + 5)(x - 4) = 0

Therefore, the critical points are x = -5 and x = 4.

To use the first derivative test to locate the local maximum and minimum values, we need to evaluate the sign of f'(x) on either side of the critical points. Let's create a sign chart for f'(x)

x -5 -4 4 8

f'(x) -30 -54 72 174

From the sign chart, we can see that f'(x) changes sign from negative to positive at x = -5, indicating a local minimum at x = -5. Similarly, f'(x) changes sign from negative to positive at x = 4, indicating a local maximum at x = 4.

To identify the absolute minimum and maximum values of the function on the given interval, we need to evaluate the function at the critical points and the endpoints of the interval. So, let's calculate the function values

f(-5) = 9

f(4) = 420

f(8) = 3484

Therefore, the absolute minimum value of the function on the interval [-5, 8] is f(-5) = 9, and the absolute maximum value is f(8) = 3484.

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the height of the building to the nearest tenth of a foot is 78. 0 feet

Using the tangent identity, we have that;

tan θ = opposite/adjacent

Now, substitute the values, we get;

tan 35 = x/150

cross  multiply the values, we have;

x = 105. 0ft; this is the hypotenuse side

Then, we have that;

Using the sine identity;

sin 48 = h/105

cross multiply the values

h = 78. 0 feet

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[tex]\textit{volume of a cylinder}\\\\ V=\pi r^2 h~~ \begin{cases} r=radius\\ h=height\\[-0.5em] \hrulefill\\ r=5\\ h=17 \end{cases}\implies V\pi (5)^2(17)\implies V\approx 1335.2~cm^3[/tex]

The area of the nonagon, given the radius, can be found to be 436. 28 units ²

The formula to find the area is:

Area = ( Perimeter × Apothem ) / 2

Perimeter is:

P = 9 × s

P = 9 x ( 2 × 13 × sin ( 180°  / 9)

= 72. 738

Apothem :

= r × cos ( 180 ° / n)

= 13 × cos ( 180 ° / 9)

= 11. 972

The area is:

= ( 72. 738 × 11. 972) / 2

= 436. 28 units ²

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According to the figure the value of x and y are

x =  25.4

y = 12.3

Using intersecting secant theorem we have that

Solving for x

8 * (8 + 11) = 5 * ( 5 + x)

8 * (19) = 25 + 5x

152 = 25 + 5x

152 - 25 = 5x

5x = 127

x = 25.4

Solving for y (secant and tangent)

8 * (8 + 11) = y^2

y^2 = 152

y = sqrt (152)

y = 12.3

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Answer:

Total purchase price = 600 * 34.50 Total purchase price = $20,700 c. To find the total selling price for the 600 shares, we can multiply the number of shares by the final price per share. Total selling price = 600 * 38.64 Total selling price = $23,184 d.

The profitability index for this project is approximately 0.65, indicating that it may not be a favorable investment as the PI is less than 1.

The profitability index (PI) is a ratio that measures the present value of future cash flows of a project per dollar of initial investment.

To calculate the PI of a project with an initial investment of $194,000 and a net present value of -$68,000, you would divide the present value of future cash flows by the initial investment.

PI = Present Value of Future Cash Flows / Initial Investment

Since the net present value is negative, we can assume that the present value of future cash flows is less than the initial investment.

PI = (-$68,000) / $194,000

PI = -0.35

The PI of the project is negative (-0.35), which means that the project is not expected to be profitable and may result in a net loss. Therefore, it may not be a wise investment decision.
The profitability index (PI) is a financial metric used to evaluate the attractiveness of an investment. It is calculated by dividing the present value of future cash flows by the initial investment. In this case, the initial investment is $194,000 and the net present value (NPV) is -$68,000. To calculate the PI:

PI = (NPV + Initial Investment) / Initial Investment
PI = (-$68,000 + $194,000) / $194,000
PI = $126,000 / $194,000
PI ≈ 0.65

The profitability index for this project is approximately 0.65, indicating that it may not be a favorable investment as the PI is less than 1.

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