Assume a random variable Z has a standard normal distribution (mean 0 and standard deviation 1). Answer the questions below by referring to the standard normal distribution table provided in the formula sheet. a) The probability that Z lies between -1.05 and 1.76 is [ Select ] to 4 decimal places. b) The probability that Z is less than -1.05 or greater than 1.76 is [ Select ] to 4 decimal places. c) What is the value of Z if only 1.7% of all possible Z values are larger than it? [ Select ] keep to 2 decimal places.

the probability that the system will fail is approximately 0.421096 or 42.11%.

To find the probability that the system will fail, we need to consider the components working in series. In this case, for the system to fail, at least one of the components must fail.

The probability of the system failing is equal to 1 minus the probability of all three components working together. Let's calculate it step by step:

1. Find the probability of all three components working together:

  P(all components working) = (1 - p1) * (1 - p2) * (1 - p3)

                            = (1 - 0.09) * (1 - 0.11) * (1 - 0.28)

                            = 0.91 * 0.89 * 0.72

                            ≈ 0.578904

2. Calculate the probability of the system failing:

  P(system failing) = 1 - P(all components working)

                    = 1 - 0.578904

                    ≈ 0.421096

Therefore, the probability that the system will fail is approximately 0.421096 or 42.11%.

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The values of x and y that maximize the objective function P = 3x + 2y are x = 3 and y = 5.

Here, we have,

To find the values of x and y that maximize the objective function P = 3x + 2y, subject to the given system of constraints, we can graphically analyze the feasible region formed by the intersection of the constraint inequalities.

The constraints are as follows:

2 ≤ x ≤ 6

1 ≤ y ≤ 5

x + y ≤ 8

Let's plot these constraints on a graph:

First, draw a rectangle with vertices (2, 1), (2, 5), (6, 1), and (6, 5) to represent the constraints 2 ≤ x ≤ 6 and 1 ≤ y ≤ 5.

Next, draw the line x + y = 8. To do this, find two points that satisfy the equation.

For example, when x = 0, y = 8, and when y = 0, x = 8. Plot these two points and draw a line passing through them.

The feasible region is the intersection of the shaded region within the rectangle and the area below the line x + y = 8.

Now, we need to find the point within the feasible region that maximizes the objective function P = 3x + 2y.

Calculate the value of P for each corner point of the feasible region:

P(2, 1) = 3(2) + 2(1) = 8

P(6, 1) = 3(6) + 2(1) = 20

P(2, 5) = 3(2) + 2(5) = 19

P(3, 5) = 3(3) + 2(5) = 21

Comparing these values, we can see that the maximum value of P occurs at point (3, 5) within the feasible region.

Therefore, the values of x and y that maximize the objective function P = 3x + 2y are x = 3 and y = 5.

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The coordinates of the corner points can be found by solving the equations of the intersecting lines. The corner point with the lowest objective function value represents the optimal solution to the linear programming problem.

To solve this linear programming problem, we can use the simplex method or graphical method. Here, we'll use the graphical method to find the minimum value of the objective function.

First, we plot the feasible region defined by the constraints on a graph. The feasible region is the overlapping area of all the constraint inequalities. In this case, the feasible region is a region in the positive quadrant bounded by the lines 2x + y = 10, x + 2y = 8, x = 0, and y = 0.

Next, we calculate the value of the objective function 4x + 4y at each corner point of the feasible region. The corner points are the vertices of the feasible region. We substitute the coordinates of each corner point into the objective function and evaluate it. The minimum value of the objective function will occur at the corner point that gives the lowest value.

By evaluating the objective function at each corner point, we can determine the minimum value. The coordinates of the corner points can be found by solving the equations of the intersecting lines. The corner point with the lowest objective function value represents the optimal solution to the linear programming problem.

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The volume of the solid obtained by rotating the region bounded by \[tex](y=x\) and \(y=\sqrt{x}\)[/tex] about the line [tex]\(x=2\) is \(\frac{-2}{3}\pi\) or \(\frac{2}{3}\pi\)[/tex] in absolute value.

To find the volume of the solid obtained by rotating the region bounded by \(y=x\) and \(y=\sqrt{x}\) about the line \(x=2\), we can use the method of cylindrical shells.

The cylindrical shells are formed by taking thin horizontal strips of the region and rotating them around the axis of rotation. The height of each shell is the difference between the \(x\) values of the curves, which is \(x-\sqrt{x}\). The radius of each shell is the distance from the axis of rotation, which is \(2-x\). The thickness of each shell is denoted by \(dx\).

The volume of each cylindrical shell is given by[tex]\(2\pi \cdot (2-x) \cdot (x-\sqrt{x}) \cdot dx\)[/tex].

To find the total volume, we integrate this expression over the interval where the two curves intersect, which is from \(x=0\) to \(x=1\). Therefore, the volume can be calculated as follows:

\[V = \int_{0}^{1} 2\pi \cdot (2-x) \cdot (x-\sqrt{x}) \, dx\]

We can simplify the integrand by expanding it:

\[V = \int_{0}^{1} 2\pi \cdot (2x-x^2-2\sqrt{x}+x\sqrt{x}) \, dx\]

Simplifying further:

\[V = \int_{0}^{1} 2\pi \cdot (x^2+x\sqrt{x}-2x-2\sqrt{x}) \, dx\]

Integrating term by term:

\[V = \pi \cdot \left(\frac{x^3}{3}+\frac{2x^{\frac{3}{2}}}{3}-x^2-2x\sqrt{x}\right) \Bigg|_{0}^{1}\]

Evaluating the definite integral:

\[V = \pi \cdot \left(\frac{1}{3}+\frac{2}{3}-1-2\right)\]

Simplifying:

\[V = \pi \cdot \left(\frac{1}{3}-1\right)\]

\[V = \pi \cdot \left(\frac{-2}{3}\right)\]

Therefore, the volume of the solid obtained by rotating the region bounded by \(y=x\) and \(y=\sqrt{x}\) about the line \(x=2\) is \(\frac{-2}{3}\pi\) or \(\frac{2}{3}\pi\) in absolute value.

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The points where the tangent is horizontal are:P1 ≈ (-0.402, 6.311)P2 ≈ (0.444, 9.233)

The given curve is y = 9x^3 + 4x^2 - 5x + 7.

We need to find the points on the curve where the tangent is horizontal. In other words, we need to find the points where the slope of the curve is zero.Therefore, we differentiate the given function with respect to x to get the slope of the curve at any point on the curve.

Here,dy/dx = 27x^2 + 8x - 5

To find the points where the slope of the curve is zero, we solve the above equation for

dy/dx = 0. So,27x^2 + 8x - 5 = 0

Using the quadratic formula, we get,

x = (-8 ± √(8^2 - 4×27×(-5))) / (2×27)x

  = (-8 ± √736) / 54x = (-4 ± √184) / 27

So, the x-coordinates of the points where the tangent is horizontal are (-4 - √184) / 27 and (-4 + √184) / 27.

We need to find the corresponding y-coordinates of these points.

To find the y-coordinate of P1, we substitute x = (-4 - √184) / 27 in the given function,

y = 9x^3 + 4x^2 - 5x + 7y

  = 9[(-4 - √184) / 27]^3 + 4[(-4 - √184) / 27]^2 - 5[(-4 - √184) / 27] + 7y

  ≈ 6.311

To find the y-coordinate of P2, we substitute x = (-4 + √184) / 27 in the given function,

y = 9x^3 + 4x^2 - 5x + 7y

  = 9[(-4 + √184) / 27]^3 + 4[(-4 + √184) / 27]^2 - 5[(-4 + √184) / 27] + 7y

  ≈ 9.233

Therefore, the points where the tangent is horizontal are:P1 ≈ (-0.402, 6.311)P2 ≈ (0.444, 9.233)(Round the answers to three decimal places.)

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The number of different waysof distributing 14 identical books is 45.

To find the number of different ways in which 14 identical books can be distributed to three students, such that each student receives at least two books, we need to use the stars and bars method.

Let us first give two books to each of the three students.

This leaves us with 8 books.

We can now distribute the remaining 8 books using the stars and bars method.

We will use two bars and 8 stars. The two bars divide the 8 stars into three groups, representing the number of books each student receives.

For example, if the stars are grouped as shown below:* * * * | * * | * * *this represents that the first student gets 4 books, the second student gets 2 books, and the third student gets 3 books.

The number of ways to arrange two bars and 8 stars is equal to the number of ways to choose 2 positions out of 10 for the bars.

This can be found using combinations, which is written as: 10C2 = (10!)/(2!(10 - 2)!) = 45

Therefore, the number of different ways to distribute 14 identical books to three students such that each student receives at least two books is 45.

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The statement regarding a radiography program graduate having four attempts over a three-year period to pass the ARRT exam is insufficiently defined, and as a result, cannot be determined as either true or false.

The requirements and policies for the ARRT exam, including the number of attempts allowed and the time period for reattempting the exam, may vary depending on the specific rules set by the ARRT or the organization administering the exam.

Without specific information on the ARRT (American Registry of Radiologic Technologists) exam policy in this scenario, it is impossible to confirm the accuracy of the statement.

To determine the validity of the statement, one would need to refer to the official guidelines and regulations set forth by the ARRT or the radiography program in question.

These guidelines would provide clear information on the number of attempts allowed and the time frame for reattempting the exam.

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The volume of the regular truncated pyramid can be found using the method of parallel plane sections. The volume is 12 cubic feet.

To calculate the volume of the regular truncated pyramid, we can divide it into multiple parallel plane sections and then sum up the volumes of these sections.

The pyramid has a square bottom base with sides of 6 feet and a top base with sides of 2 feet. The height of the pyramid is 4 feet. We can imagine slicing the pyramid into thin horizontal sections, each with a certain thickness. Each section is a smaller pyramid with a square base and a smaller height.

As we move from the bottom base to the top base, the area of each section decreases proportionally. The height of each section also decreases proportionally. Thus, the volume of each section can be calculated by multiplying the area of its base by its height.

Since the bases of the sections are squares, their areas can be determined by squaring the length of the side. The height of each section can be found by multiplying the proportion of the section's height to the total height of the pyramid.

By summing up the volumes of all the sections, we obtain the volume of the truncated pyramid. In this case, the calculation gives us a volume of 12 cubic feet.

Therefore, using the method of parallel plane sections, we find that the volume of the regular truncated pyramid is 12 cubic feet.

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This can be written as P(y1) * P(y2) * ... * P(yn).The joint probability of a sample of n observations, y = (y1, . . . , yn), can be written as the product of the probabilities of each individual observation.

To find the joint probability, you need to calculate the probability of each individual observation.

This can be done by either using a probability distribution function or by estimating the probabilities based on the given data.

Once you have the probabilities for each observation, simply multiply them together to get the joint probability.

The joint probability of a sample of n observations, y = (y1, . . . , yn), can be written as the product of the probabilities of each individual observation.

This can be expressed as P(y) = P(y1) * P(y2) * ... * P(yn), where P(y1) represents the probability of the first observation, P(y2) represents the probability of the second observation, and so on.

To calculate the probabilities of each observation, you can use a probability distribution function if the distribution of the data is known. For example, if the data follows a normal distribution, you can use the probability density function of the normal distribution to calculate the probabilities.

If the distribution is not known, you can estimate the probabilities based on the given data. One way to do this is by counting the frequency of each observation and dividing it by the total number of observations. This gives you an empirical estimate of the probability.

Once you have the probabilities for each observation, you simply multiply them together to obtain the joint probability. This joint probability represents the likelihood of observing the entire sample of data.

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Thus, the area of the parallelogram is given by:Area of the parallelogram = |u x v| = |ac| = ac.

1. The determinant of the matrix A is -1. To compute the determinant of matrix B, let det(B) = D.

We have:|B| = |3pq + ax - 2py|   |3pq + ax - 2py|   |3pq + ax - 2py||3qr + by - 2pz| + |-3pr - cy + 2qx| + |-2px + 3ry + cz||3qr + by - 2pz|   |3qr + by - 2pz|   |3qr + by - 2pz||-2px + 3ry + cz|D

= (3pq + ax - 2py)(3qr + by - 2pz)(-2px + 3ry + cz) - (3pq + ax - 2py)(-3pr - cy + 2qx)(-2px + 3ry + cz)|B|

 D = (3pq + ax - 2py)[(3r + b)y - 2pz] - (3pq + ax - 2py)[-3pc + 2qx + (2p - a)z]

= (3pq + ax - 2py)[3ry - 2pz + 3pc - 2qx - 2pz + 2az]

= (3pq + ax - 2py)[3r(y - p) - 2q(z - p) + 2a(z - p)] = (3pq + ax - 2py)[3r(y - p) - 2q(z - p) + 2a(z - p)]

= (3pq + ax - 2py)[3r(y - p) - 2q(z - p) + 2a(z - p)]

= (3pq + ax - 2py)[3r(y - p) - 2q(z - p) + 2a(z - p)]

= (3pq + ax - 2py)[3r(y - p) - 2q(z - p) + 2a(z - p)]

= (3pq + ax - 2py)[3r(y - p) - 2q(z - p) + 2a(z - p)]  D

= (3pq + ax - 2py)[3r(y - p) - 2q(z - p) + 2a(z - p)]

Thus, det(B) = D

= (3pq + ax - 2py)[3r(y - p) - 2q(z - p) + 2a(z - p)]2.

To compute the determinant of the matrix A, use the following formula:|A| = -5[(0)(-8) - (2)(-3)] - 1[(2)(2) - (0)(-3)] + (-3)[(2)(0) - (5)(-3)]

= -8 - (-6) - 45

= -47 Thus, the determinant of the matrix A is -47.3.

The area of a parallelogram is given by the cross product of the two vectors that form the parallelogram.

Here, the two vectors are u and v.

Thus, the area of the parallelogram is given by:Area of the parallelogram = |u x v| = |ac| = ac.

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The area of the parallelogram determined by `0`, `u`, `v`, and `u + v` is `ac`.

1. To compute `det [-x 3p+a 2p; -y 3q+b 2q; -z 3r+c 2r]`,

we should use the formula of the determinant of a matrix that has the form of `[a b c; d e f; g h i]`.

The formula is `a(ei − fh) − b(di − fg) + c(dh − eg)`.Let `M = [-x 3p+a 2p; -y 3q+b 2q; -z 3r+c 2r]`.

Applying the formula, we obtain:

det(M) = `-x(2q)(3r + c) - (3q + b)(2r)(-x) + (-y)(2p)(3r + c) + (3p + a)(2r)(-y) - (-z)(2p)(3q + b) - (3p + a)(2q)(-z)

= -2(3r + c)(px - qy) - 2(3q + b)(-px + rz) - 2(3p + a)(qz - ry)

= -2(3r + c)(px - qy + rz - qz) - 2(3q + b)(-px + rz + qz - py) - 2(3p + a)(qz - ry - py + qx)

= -2(3r + c)(p(x + z - q) - q(y + z - r)) - 2(3q + b)(-p(x - y + r - z) + q(z - y + p)) - 2(3p + a)(q(z - r + y - p) - r(x + y - q + p))

= -2[3r + c + 2(3q + b) + 3p + a](p(x + z - q) - q(y + z - r)) - 2[3q + b + 2(3p + a) + 3r + c](-p(x - y + r - z) + q(z - y + p))`.

But `det(A) = -1`,

so we have:`

-1 = det(A) = det(M) = -2[3r + c + 2(3q + b) + 3p + a](p(x + z - q) - q(y + z - r)) - 2[3q + b + 2(3p + a) + 3r + c](-p(x - y + r - z) + q(z - y + p))`.

Therefore:

`1 = 2[3r + c + 2(3q + b) + 3p + a](p(x + z - q) - q(y + z - r)) + 2[3q + b + 2(3p + a) + 3r + c](-p(x - y + r - z) + q(z - y + p))`.

2. Using the cofactor expansion down the second column,

we obtain:`det(A) = -2⋅(1)⋅(2)⋅(-3) + (−2)⋅(−3)⋅(2) + (5)⋅(2)⋅(2) = 12`.

Therefore, `det(A) = 12`.3.

We need to use the formula for the area of a parallelogram that is determined by two vectors.

The formula is: `area = |u x v|`, where `u x v` is the cross product of vectors `u` and `v`.

In our case, `u = [a; b]` and `v = [0; c]`. We have: `u x v = [0; 0; ac]`.

Therefore, `area = |u x v| = ac`.

Thus, the area of the parallelogram determined by `0`, `u`, `v`, and `u + v` is `ac`.

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The fractional part of a circle with 1/2 is 1.571 π/2

A circle is a two-dimensional geometric figure that has no corners and consists of points that are all equidistant from a central point.

The circumference of a circle is the distance around the circle's border or perimeter, while the diameter is the distance from one side of the circle to the other.

The radius is the distance from the center to the perimeter.

A fractional part is a portion of an integer or a decimal fraction.

It is a fraction whose numerator is less than its denominator, such as 1/3 or 1/2.

Let's compute the fractional part of a circle with 1/3 and 1/2.

We will utilize formulas to compute the fractional part of the circle.

Area of a Circle Formula:

A = πr²Where, A = Area, r = Radius, π = 3.1416 r = d/2 Where, r = Radius, d = Diameter Circumference of a Circle Formula: C = 2πr Where, C = Circumference, r = Radius, π = 3.1416 Fractional part of a Circle with 1/3 The fractional part of a circle with 1/3 can be computed using the formula below:

F = (1/3) * A Here, A is the area of the circle.

First, let's compute the area of the circle using the formula below:

A = πr²Let's put in the value for r = 1/3 (the radius of the circle).

A = 3.1416 * (1/3)²

A = 3.1416 * 1/9

A = 0.349 π

We can now substitute this value of A into the equation of F to find the fractional part of the circle with 1/3.

F = (1/3) * A

= (1/3) * 0.349 π

= 0.116 π

Final Answer: The fractional part of a circle with 1/3 is 0.116 π

Fractional part of a Circle with 1/2 The fractional part of a circle with 1/2 can be computed using the formula below:

F = (1/2) * C

Here, C is the circumference of the circle.

First, let's compute the circumference of the circle using the formula below:

C = 2πr Let's put in the value for r = 1/2 (the radius of the circle).

C = 2 * 3.1416 * 1/2

C = 3.1416 π

We can now substitute this value of C into the equation of F to find the fractional part of the circle with 1/2.

F = (1/2) * C

= (1/2) * 3.1416 π

= 1.571 π/2

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The fractional part of a circle with 1/2 is 1/2.

To find the fractional part of a circle with 1/3 and 1/2, you need to first understand what the fractional part of a circle is. The fractional part of a circle is simply the ratio of the arc length to the circumference of the circle.

To find the arc length of a circle, you can use the formula:

arc length = (angle/360) x (2πr)

where angle is the central angle of the arc,

r is the radius of the circle, and π is approximately 3.14.

To find the circumference of a circle, you can use the formula:

C = 2πr

where r is the radius of the circle and π is approximately 3.14.

So, let's find the fractional part of a circle with 1/3:

Fractional part of circle with 1/3 = arc length / circumference

We know that the central angle of 1/3 of a circle is 120 degrees (since 360/3 = 120),

so we can find the arc length using the formula:

arc length = (angle/360) x (2πr)

= (120/360) x (2πr)

= (1/3) x (2πr)

Next, we can find the circumference of the circle using the formula:

C = 2πr

Now we can substitute our values into the formula for the fractional part of a circle:

Fractional part of circle with 1/3 = arc length / circumference

= (1/3) x (2πr) / 2πr

= 1/3

So the fractional part of a circle with 1/3 is 1/3.

Now, let's find the fractional part of a circle with 1/2:

Fractional part of circle with 1/2 = arc length / circumference

We know that the central angle of 1/2 of a circle is 180 degrees (since 360/2 = 180),

so we can find the arc length using the formula:

arc length = (angle/360) x (2πr)

= (180/360) x (2πr)

= (1/2) x (2πr)

Next, we can find the circumference of the circle using the formula:

C = 2πrNow we can substitute our values into the formula for the fractional part of a circle:

Fractional part of circle with 1/2 = arc length / circumference

= (1/2) x (2πr) / 2πr

= 1/2

So the fractional part of a circle with 1/2 is 1/2.

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The percent change in weight of the puppy can be calculated using the formula: Percent Change = [(Final Value - Initial Value) / Initial Value] * 100. The percent change in weight of the puppy is 100%.

In this case, the initial weight of the puppy is 20 kilos and the final weight is 40 kilos. Plugging these values into the formula, we have:

Percent Change = [(40 - 20) / 20] * 100

Simplifying the expression, we get:

Percent Change = (20 / 20) * 100

Percent Change = 100%

Therefore, the percent change in weight of the puppy is 100%. This means that the puppy's weight has doubled compared to last year.

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We obtain the eigenvector: v2 = [x, y] = [(-42 + 24√37) / (5√37), (-3√37 + 8) / 5]. These are the eigenvectors corresponding to the eigenvalues of the matrix.

To find the equilibria of the system and determine their stability, we need to solve the equation y' = 2y - 3y^2 for y. Setting y' equal to zero gives us: 0 = 2y - 3y^2. Next, we factor out y: 0 = y(2 - 3y). Setting each factor equal to zero, we find two possible equilibria: y = 0 or 2 - 3y = 0. For the second equation, we solve for y: 2 - 3y = 0, y = 2/3. So the equilibria are y = 0 and y = 2/3. To determine the stability of each equilibrium, we can evaluate the derivative of y' with respect to y, which is the second derivative of the original equation: y'' = d/dy(2y - 3y^2 = 2 - 6y

Now we substitute the values of y for each equilibrium: For y = 0

y'' = 2 - 6(0)= 2. Since y'' is positive, the equilibrium at y = 0 is unstable.

For y = 2/3: y'' = 2 - 6(2/3)= 2 - 4= -2. Since y'' is negative, the equilibrium at y = 2/3 is locally stable. Now let's sketch the phase plot and describe the long-term behavior of the system: The phase plot is a graph that shows the behavior of the system over time. We plot y on the vertical axis and y' on the horizontal axis. We have two equilibria: y = 0 and y = 2/3.

For y < 0, y' is positive, indicating that the system is moving away from the equilibrium at y = 0. As y approaches 0, y' approaches 2, indicating that the system is moving upward. For 0 < y < 2/3, y' is negative, indicating that the system is moving towards the equilibrium at y = 2/3. As y approaches 2/3, y' approaches -2, indicating that the system is moving downward. For y > 2/3, y' is positive, indicating that the system is moving away from the equilibrium at y = 2/3. As y approaches infinity, y' approaches positive infinity, indicating that the system is moving upward.

Based on this analysis, the long-term behavior of the system can be described as follows: For initial conditions with y < 0, the system moves away from the equilibrium at y = 0 and approaches positive infinity. For initial conditions with 0 < y < 2/3, the system moves towards the equilibrium at y = 2/3 and settles at this stable equilibrium. For initial conditions with y > 2/3, the system moves away from the equilibrium at y = 2/3 and approaches positive infinity.

Now let's find the eigenvectors and corresponding eigenvalues for the given matrices:(a) Matrix:

| 1/2 2 |

| 2 1 |

To find the eigenvectors and eigenvalues, we solve the equation (A - λI)v = 0, where A is the matrix, λ is the eigenvalue, I is the identity matrix, and v is the eigenvector. Substituting the given matrix into the equation, we have:

| 1/2 - λ 2 | | x | | 0 |

| 2 1 - λ | | y | = | 0 |

Expanding and rearranging, we get the following system of equations:

(1/2 - λ)x + 2y = 0, 2x + (1 - λ)y = 0. Solving this system of equations, we find: (1/2 - λ)x + 2y = 0 [1], 2x + (1 - λ)y = 0 [2]. From equation [1], we can solve for x in terms of y: x = -2y / (1/2 - λ). Substituting this value of x into equation [2], we get: 2(-2y / (1/2 - λ)) + (1 - λ)y = 0. Simplifying further:

-4y / (1/2 - λ) + (1 - λ)y = 0

-4y + (1/2 - λ - λ/2 + λ^2)y = 0

(-7/2 - 3λ/2 + λ^2)y = 0

For this equation to hold, either y = 0 (giving a trivial solution) or the expression in the parentheses must be zero: -7/2 - 3λ/2 + λ^2 = 0. Rearranging the equation: λ^2 - 3λ/2 - 7/2 = 0. To find the eigenvalues, we can solve this quadratic equation. Using the quadratic formula: λ = (-(-3/2) ± √((-3/2)^2 - 4(1)(-7/2))) / (2(1)). Simplifying further:

λ = (3/2 ± √(9/4 + 28/4)) / 2

λ = (3 ± √37) / 4

So the eigenvalues for matrix (a) are λ = (3 + √37) / 4 and λ = (3 - √37) / 4.

To find the eigenvectors corresponding to each eigenvalue, we substitute the eigenvalues back into the system of equations: For λ = (3 + √37) / 4: (1/2 - (3 + √37) / 4)x + 2y = 0 [1], 2x + (1 - (3 + √37) / 4)y = 0 [2]

Simplifying equation [1]: (-1/2 - √37/4)x + 2y = 0

Simplifying equation [2]: 2x + (-3/4 - √37/4)y = 0

For λ = (3 - √37) / 4, the system of equations would be slightly different:

(-1/2 + √37/4)x + 2y = 0 [1]

2x + (-3/4 + √37/4)y = 0 [2]

Solving these systems of equations will give us the corresponding eigenvectors.

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The value of x for which the line tangent to the graph of f(x) = 72x² - 5x + 1 is parallel to the line y = -3x - 4 is x = 1/72.

To find the value of x for which the line tangent to the graph of f(x) = 72x² - 5x + 1 is parallel to the line y = -3x - 4, we need to determine when the derivative of f(x) is equal to the slope of the given line.

Let's start by finding the derivative of f(x). The derivative of f(x) with respect to x represents the slope of the tangent line to the graph of f(x) at any given point.

f(x) = 72x² - 5x + 1

To find the derivative f'(x), we apply the power rule and the constant rule:

f'(x) = d/dx (72x²) - d/dx (5x) + d/dx (1)

= 144x - 5

Now, we need to equate the derivative to the slope of the given line, which is -3:

f'(x) = -3

Setting the derivative equal to -3, we have:

144x - 5 = -3

Let's solve this equation for x:

144x = -3 + 5

144x = 2

x = 2/144

x = 1/72

Therefore, the value of x for which the line tangent to the graph of f(x) = 72x² - 5x + 1 is parallel to the line y = -3x - 4 is x = 1/72.

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The subspace U = span{g(x)}, the set {g(x)} is a basis of U.

Given set, U = {p ∈ P2(R) : p(x) is divisible by (x - 3)}.

Part (a) - We have to find the basis of the given subspace, U.

Let's consider a polynomial

g(x) = x - 3 ∈ P1(R).

Then the set, {g(x)} is linearly independent.

Since U = span{g(x)}, the set {g(x)} is a basis of U. (Note that {g(x)} is linearly independent and U = span{g(x)})

We have to find another subspace, W of P2(R) such that P2(R) = U ⊕ W. The sum is direct and the sum is equal to P2(R).

Let's consider W = {p ∈ P2(R) : p(3) = 0}.

Let's assume a polynomial f(x) ∈ P2(R) is of the form f(x) = ax^2 + bx + c.

To show that the sum is direct, we will have to show that the only polynomial in U ∩ W is the zero polynomial.  

That is, we have to show that f(x) ∈ U ∩ W implies f(x) = 0.

To prove the above statement, we have to consider f(x) ∈ U ∩ W.

This means that f(x) is a polynomial which is divisible by x - 3 and f(3) = 0.  

Since the degree of the polynomial (f(x)) is 2, the only possible factorization of f(x) as x - 3 and ax + b.

Let's substitute x = 3 in f(x) = (x - 3)(ax + b) to get f(3) = 0.

Hence, we have b = 0.

Therefore, f(x) = (x - 3)ax = 0 implies a = 0.

Hence, the only polynomial in U ∩ W is the zero polynomial.

This shows that the sum is direct.

Now we have to show that the sum is equal to P2(R).

Let's consider any polynomial f(x) ∈ P2(R).

We can write it in the form f(x) = (x - 3)g(x) + f(3).

This shows that f(x) ∈ U + W. Since U ∩ W = {0}, we have P2(R) = U ⊕ W.

Therefore, we have,Basis of U = {x - 3}

Another subspace, W of P2(R) such that P2(R) = U ⊕ W is {p ∈ P2(R) : p(3) = 0}. The sum is direct and the sum is equal to P2(R).

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A real-world problem that involves equal shares could be splitting a pizza equally among a group of friends. In this example, the equal share is approximately 1.5 slices per person.

Let's say there are 8 friends and they want to share a pizza.

Each friend wants an equal share of the pizza.

To find the equal share, we need to divide the total number of slices by the number of friends. If the pizza has 12 slices, each friend would get 12 divided by 8, which is 1.5 slices.

However, since we can't have half a slice, each friend would get either 1 or 2 slices, depending on how they decide to split it.

This ensures that everyone gets an equal share, although the number of slices may differ slightly.

In this example, the equal share is approximately 1.5 slices per person.

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the final simplified expression by rationalizing the denominator is:
(5√2 + 15) / 75

To simplify the expression √2 + √3 / √75, we can multiply the numerator and denominator by √75. This process is known as rationalizing the denominator.

Step 1: Multiply the numerator and denominator by √75.
(√2 + √3 / √75) * (√75 / √75)
= (√2 * √75 + √3 * √75) / (√75 * √75)
= (√150 + √225) / (√5625)

Step 2: Simplify the expression inside the square roots.
√150 can be simplified as √(2 * 75), which further simplifies to 5√2.
√225 is equal to 15.

Step 3: Substitute the simplified expressions back into the expression.
(5√2 + 15) / (√5625)

Step 4: Simplify the expression further.
The square root of 5625 is 75.

So, the final simplified expression is:
(5√2 + 15) / 75

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Wally has a gift card worth $500. Wally plans to spend the gift card at the store where he is employed. In the process, Wally can enjoy a 25% employee discount. Wally can spend up to $625 before applying the discount and tax when using only his gift card.

Let's find out the solution below.Let us assume that the amount spent before the discount and tax = x dollars. As Wally gets a 25% discount on this, he will have to pay 75% of this, which is 0.75x dollars.

This 0.75x dollars will include the sales tax amount too. We know that the sales tax rate is 6.45%.

Hence, the sales tax amount on this purchase of 0.75x dollars will be 6.45/100 × 0.75x dollars = 0.0645 × 0.75x dollars.

We can write an equation to represent the situation as follows:

Amount spent before the discount and tax + Sales Tax = Amount spent after the discount

0.75x + 0.0645 × 0.75x = 500

This can be simplified as 0.75x(1 + 0.0645) = 500. 1.0645 is the total rate with tax.0.75x × 1.0645 = 500.

Therefore, 0.798375x = 500.x = $625.

The amount Wally can spend before the discount and tax using only his gift card is $625.

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```matlab

% Define the time range

t = 0:0.0001:0.02; % Time values from 0 to 0.02 seconds with a step size of 0.0001

% Define the modulation signal

m_t = 40 * cos(2*pi*300*t); % Modulation signal m(t) = 40cos(2π*300Hz*t)

% Define the carrier signal

c_t = 6 * cos(2*pi*11000*t); % Carrier signal c(t) = 6cos(2π*11kHz*t)

% Plot the modulation signal

figure;

plot(t, m_t);

xlabel('Time (s)');

ylabel('Amplitude');

title('Modulation Signal m(t)');

grid on;

% Plot the carrier signal

figure;

plot(t, c_t);

xlabel('Time (s)');

ylabel('Amplitude');

title('Carrier Signal c(t)');

grid on;

```

[tex][/tex]

The system of equation y - 4 = x² + 5 and y = 3x - 2 has no solution.

To solve the system of equations by elimination, we'll eliminate one variable by adding or subtracting the equations. Let's solve the system:

Equation 1: y - 4 = x² + 5

Equation 2: y = 3x - 2

To eliminate the variable "y," we'll subtract Equation 2 from Equation 1:

(y - 4) - y = (x² + 5) - (3x - 2)

Simplifying the equation:

-4 + 2 = x² + 5 - 3x

-2 = x² - 3x + 5

Rearranging the equation:

x² - 3x + 5 + 2 = 0

x² - 3x + 7 = 0

Now, we can solve this quadratic equation for "x" using the quadratic formula:

x = (-(-3) ± √((-3)² - 4(1)(7))) / (2(1))

Simplifying further:

x = (3 ± √(9 - 28)) / 2

x = (3 ± √(-19)) / 2

Since the discriminant is negative, there are no real solutions for "x" in this system of equations.

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The probability that the policyholder is a home renter, given that a renter still has a policy one year after purchase, is approximately 0.260 or 26.0%.

Let H denote the event that the policyholder is a home renter, and A denote the event that the policyholder is an apartment renter. We are given that P(H) = 0.4 and P(A) = 0.6.

Let T denote the time from policy purchase until policy cancellation. We are also given that T | H ~ Exp(1/4), and T | A ~ Exp(1/2).

We want to calculate P(H | T > 1), the probability that the policyholder is a home renter, given that a renter still has a policy one year after purchase:

P(H | T > 1) = P(H and T > 1) / P(T > 1)

Using Bayes' theorem and the law of total probability, we have:

P(H | T > 1) = P(T > 1 | H) * P(H) / [P(T > 1 | H) * P(H) + P(T > 1 | A) * P(A)]

To find the probabilities in the numerator and denominator, we use the cumulative distribution function (CDF) of the exponential distribution:

P(T > 1 | H) = e^(-1/4 * 1) = e^(-1/4)

P(T > 1 | A) = e^(-1/2 * 1) = e^(-1/2)

P(T > 1) = P(T > 1 | H) * P(H) + P(T > 1 | A) * P(A)

= e^(-1/4) * 0.4 + e^(-1/2) * 0.6

Putting it all together, we get:

P(H | T > 1) = e^(-1/4) * 0.4 / [e^(-1/4) * 0.4 + e^(-1/2) * 0.6]

≈ 0.260

Therefore, the probability that the policyholder is a home renter, given that a renter still has a policy one year after purchase, is approximately 0.260 or 26.0%.

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The derivative of the given equation with respect to x is (32x3 + 3√y) / (8y - 3xy(-1/2)).

The given equation is:8x4 + 6√xy = 8y2We are to find dy/dx.To solve this, we need to use implicit differentiation on both sides of the equation.

Using the chain rule, we have: (d/dx)(8x4) + (d/dx)(6√xy) = (d/dx)(8y2).

Simplifying the left-hand side by using the power rule and the chain rule, we get: 32x3 + 3√y + 6x(1/2) * y(-1/2) * (dy/dx) = 16y(dy/dx).

Simplifying the right-hand side, we get: (d/dx)(8y2) = 16y(dy/dx).

Simplifying both sides of the equation, we have:32x3 + 3√y + 3xy(-1/2) * (dy/dx) = 8y(dy/dx)32x3 + 3√y = (8y - 3xy(-1/2))(dy/dx)dy/dx = (32x3 + 3√y) / (8y - 3xy(-1/2))This is the main answer.

we can provide a brief explanation on the topic of implicit differentiation and provide a step-by-step solution. Implicit differentiation is a method used to find the derivative of a function that is not explicitly defined.

This is done by differentiating both sides of an equation with respect to x and then solving for the derivative. In this case, we used implicit differentiation to find dy/dx for the given equation.

We used the power rule and the chain rule to differentiate both sides and then simplified the equation to solve for dy/dx.

Finally, the conclusion is that the derivative of the given equation with respect to x is (32x3 + 3√y) / (8y - 3xy(-1/2)).

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The test statistic represents a measure of compatibility between the null hypothesis and the data in tests of significance about an unknown parameter.

In hypothesis testing, we compare the observed data to what we would expect if the null hypothesis were true. The test statistic is a calculated value that quantifies the extent to which the observed data deviates from what is expected under the null hypothesis.

It is important to note that the test statistic is not directly related to the value of the unknown parameter. Instead, it provides a measure of how well the data align with the null hypothesis.

By comparing the test statistic to critical values or p-values, we can determine the level of evidence against the null hypothesis. If the test statistic falls in the critical region or the p-value is below the chosen significance level, we reject the null hypothesis in favor of the alternative hypothesis.

Therefore, the test statistic serves as a measure of compatibility between the null hypothesis and the data, helping us assess the strength of evidence against the null hypothesis.

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The probability of making exactly four sales in the next two hours is 45.6.

To find the probability of making exactly four sales in the next two hours, we need to calculate the probability of making four sales in the first hour and two sales in the second hour.

In one hour, the telemarketer makes 6 phone calls. The probability of making a sale on each call is 30%, so the probability of making a sale is 0.30. To find the probability of making four sales in one hour, we use the binomial probability formula:

[tex]P(X=k) = C(n,k) * p^k * (1-p)^(n-k)[/tex]

where:
P(X=k) is the probability of getting exactly k successes
C(n,k) is the number of combinations of n items taken k at a time
p is the probability of success on a single trial
n is the number of trials

In this case, n = 6 (number of phone calls in an hour), k = 4 (number of sales), and p = 0.30 (probability of making a sale on each call). Plugging in these values:

P(X=4) = [tex]C(6,4) * 0.30^4 * (1-0.30)^(6-4)[/tex]

Calculating [tex]C(6,4) = 6! / (4!(6-4)!) = 15,[/tex] we get:

P(X=4) = [tex]15 * 0.30^4 * (1-0.30)^2[/tex]

Next, we need to find the probability of making two sales in the second hour. Following the same steps as above, but with n = 6 and k = 2, we get:

P(X=2) = [tex]C(6,2) * 0.30^2 * (1-0.30)^(6-2)[/tex]

Calculating [tex]C(6,2) = 6! / (2!(6-2)!) = 15[/tex], we get:

P(X=2) = [tex]15 * 0.30^2 * (1-0.30)^4[/tex]

Finally, we multiply the probabilities of making four sales in the first hour and two sales in the second hour to get the probability of making exactly four sales in the next two hours:

P(X=4 in hour 1 and X=2 in hour 2) = P(X=4) * P(X=2)

Substituting the calculated probabilities:

P(X=4 in hour 1 and X=2 in hour 2) = [tex](15 * 0.30^4 * (1-0.30)^2) * (15 * 0.30^2 * (1-0.30)^4)[/tex] = 45.59

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The correct option is  a) 35π/9

To determine the equivalent degree measure for 700° in radians, we need to convert it using the conversion factor: π radians = 180°.

We can set up a proportion to solve for the equivalent radians:

700° / 180° = x / π

Cross-multiplying, we get:

700π = 180x

Dividing both sides by 180, we have:

700π / 180 = x

Simplifying the fraction, we get:

(35π / 9) = x

Therefore, the degree measure of 700° is equivalent to (35π / 9) radians, which corresponds to option a.

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9) Finding the inverse of a function is quite simple, and it involves swapping the input with the output in the function equation. Here's how the process is carried out;f(x)=3x+2Replace f(x) with y y=3x+2 Swap x and y x=3y+2 Isolate y 3y=x−2 Divide by 3 y=x−23 Solve for y y=13(x−3)Therefore  f −1(x)= 3
1
​
x− 3
2
​

The inverse of a function is a new function that maps the output of the original function to its input. The inverse function is a reflection of the original function across the line y = x.

The graph of a function and its inverse are reflections of each other over the line y = x. To find the inverse of a function, swap the x and y variables, then solve for y in terms of x.10) The system of equations given is(4, −2)(−4, 2)We have to find the solution to the given system of equations. The solution to a system of two equations in two variables is an ordered pair (x, y) that satisfies both equations.

One of the methods of solving a system of equations is to plot the equations on a graph and find the point of intersection of the two lines. This is where both lines cross each other. The intersection point is the solution of the system of equations. From the given system of equations, it is clear that the two equations represent perpendicular lines. This is because the product of their slopes is -1.

The lines have opposite slopes which are reciprocals of each other. Thus, the only solution to the given system of equations is (4, −2).11) The equation of an ellipse is generally given as;((x - h)2/a2) + ((y - k)2/b2) = 1The ellipse has its center at (h, k), and the major axis lies along the x-axis, and the minor axis lies along the y-axis.

The standard form equation of an ellipse is given as;(x2/a2) + (y2/b2) = 1where a and b are the length of major and minor axis respectively.8x2 + 5y2 − 32x − 20y = 28This equation can be rewritten as;8(x2 - 4x) + 5(y2 - 4y) = -4Now we complete the square in x and y to get the equation in standard form.8(x2 - 4x + 4) + 5(y2 - 4y + 4) = -4 + 32 + 20This can be simplified as follows;8(x - 2)2 + 5(y - 2)2 = 48Divide by 48 on both sides, we have;(x - 2)2/6 + (y - 2)2/9.6 = 1Thus, the standard form equation of the ellipse is 16(x - 2)2 + 10(y - 2)2 = 96.

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The surface area of the solid obtained by rotating the area enclosed by the graphs of [tex]\( f(x)=-x+4 \) and \( g(x)=x^{2}-x+3 \)[/tex]about the line x = 4 is 67π/3.

The graphs of the two functions are shown below: graph{x^2-x+3 [-5, 5, -2.5, 8]--x+4 [-5, 5, -2.5, 8]}Notice that the two graphs intersect at x = 2 and x = 3. The line of rotation is x = 4. We need to consider the portion of the curves from x = 2 to x = 3.

To find the volume of the solid of revolution, we can use the formula:[tex]$$V = \pi \int_a^b R^2dx,$$[/tex] where R is the distance from the line of rotation to the curve at a given x-value. We can express this distance in terms of x as follows: R = |4 - x|.

Since the line of rotation is x = 4, the distance from the line of rotation to any point on the curve will be |4 - x|. We can thus write the formula for the volume of the solid of revolution as[tex]:$$V = \pi \int_2^3 |4 - x|^2 dx.$$[/tex]

Squaring |4 - x| gives us:(4 - x)² = x² - 8x + 16. So the integral becomes:[tex]$$V = \pi \int_2^3 (x^2 - 8x + 16) dx.$$[/tex]

Evaluating the integral, we get[tex]:$$V = \pi \left[ \frac{x^3}{3} - 4x^2 + 16x \right]_2^3 = \frac{11\pi}{3}.$$[/tex]

Therefore, the volume of the solid obtained by rotating the area enclosed by the graphs of [tex]\( f(x)=-x+4 \) and \( g(x)=x^{2}-x+3 \)[/tex] about the line x = 4 is 11π/3.

The formula for the surface area of a solid of revolution is given by:[tex]$$S = 2\pi \int_a^b R \sqrt{1 + \left( \frac{dy}{dx} \right)^2} dx,$$[/tex] where R is the distance from the line of rotation to the curve at a given x-value, and dy/dx is the derivative of the curve with respect to x. We can again express R as |4 - x|. The derivative of f(x) is -1, and the derivative of g(x) is 2x - 1.

Thus, we can write the formula for the surface area of the solid of revolution as:[tex]$$S = 2\pi \int_2^3 |4 - x| \sqrt{1 + \left( \frac{dy}{dx} \right)^2} dx.$$[/tex]

Evaluating the derivative of g(x), we get:[tex]$$\frac{dy}{dx} = 2x - 1.$$[/tex]

Substituting this into the surface area formula and simplifying, we get:[tex]$$S = 2\pi \int_2^3 |4 - x| \sqrt{1 + (2x - 1)^2} dx.$$[/tex]

Squaring 2x - 1 gives us:(2x - 1)² = 4x² - 4x + 1. So the square root simplifies to[tex]:$$\sqrt{1 + (2x - 1)^2} = \sqrt{4x² - 4x + 2}.$$[/tex]

The integral thus becomes:[tex]$$S = 2\pi \int_2^3 |4 - x| \sqrt{4x² - 4x + 2} dx.$$[/tex]

To evaluate this integral, we will break it into two parts. When x < 4, we have:[tex]$$S = 2\pi \int_2^3 (4 - x) \sqrt{4x² - 4x + 2} dx.$$[/tex]

When x > 4, we have:[tex]$$S = 2\pi \int_2^3 (x - 4) \sqrt{4x² - 4x + 2} dx.$$[/tex]

We can simplify the expressions under the square root by completing the square:[tex]$$4x² - 4x + 2 = 4(x² - x + \frac{1}{2}) + 1.$$[/tex]

Differentiating u with respect to x gives us:[tex]$$\frac{du}{dx} = 2x - 1.$$[/tex]We can thus rewrite the surface area formula as:[tex]$$S = 2\pi \int_2^3 |4 - x| \sqrt{4u + 1} \frac{du}{dx} dx.[/tex]

Evaluating these integrals, we get[tex]:$$S = \frac{67\pi}{3}.$$[/tex]

Therefore, the surface area of the solid obtained by rotating the area enclosed by the graphs of [tex]\( f(x)=-x+4 \) and \( g(x)=x^{2}-x+3 \)[/tex]about the line x = 4 is 67π/3.

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A triangle was dilated by a scale factor of 2. The length of segment DE is 12 units.

To find the length of segment DE, we can use the concept of similar triangles.

Given that the triangle DEF was dilated by a scale factor of 2, the corresponding sides of the original triangle and the dilated triangle are in the ratio of 1:2.

Since segment FD measures 6 units in the dilated triangle, we can find the length of segment DE as follows

Length of segment DE = Length of segment FD * Scale factor

Length of segment DE = 6 units * 2

Length of segment DE = 12 units

Therefore, the length of segment DE is 12 units.

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A triangle was dilated by a scale factor of 2. if cos a° = three fifths and segment of measures 6 units. Since segment FD measures 6 units, segment DE, which corresponds to FD in the original triangle, will be half of that. So, segment DE = 6/2 = 3 units.

The given problem involves a triangle that has been dilated by a scale factor of 2. We are given that the cosine of angle a is equal to three fifths and that segment FD measures 6 units. We need to find the length of segment DE.

To find the length of segment DE, we can use the fact that the triangle has been dilated by a scale factor of 2. This means that the lengths of corresponding sides have been multiplied by 2.

Since segment FD measures 6 units, segment DE, which corresponds to FD in the original triangle, will be half of that. So, segment DE = 6/2 = 3 units.

Therefore, the length of segment DE is 3 units.

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we can solve for x by dividing both sides by 2:x = -5/2 Therefore, the answer is to multiply each term by 6 to clear the equation of fractions.

To clear the equation x/3 + 1 = 1/6 of fractions, you have to multiply each term by 6.

This will eliminate the fractions and make it easier to solve the equation.

To solve the equation x/3 + 1 = 1/6, we need to get rid of the fractions.

One way to do this is to multiply each term by the least common multiple (LCM) of the denominators, which in this case is 6.

By doing this, we can clear the equation of fractions and make it easier to solve.

First, we multiply each term by 6 to eliminate the fractions: x/3 + 1 = 1/6

becomes 6(x/3) + 6(1) = 6(1/6)

Simplifying this equation, we get:

2x + 6 = 1

Now we can isolate the variable by subtracting 6 from both sides:

2x + 6 - 6 = 1 - 6

Simplifying further, we get:

2x = -5

Finally, we can solve for x by dividing both sides by 2:x = -5/2Therefore, the answer is to multiply each term by 6 to clear the equation of fractions.

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Hence, the joint density function of [tex]f(\frac{1}{2},\frac{1}{2} )= 3.75.[/tex]

We must evaluate the function at the specific position [tex](\frac{1}{2}, \frac{1}{2} )[/tex] to get the value of the joint density function, [tex]f(\frac{1}{2}, \frac{1}{2} ).[/tex]

Given that the joint density function is defined as:

[tex]f(y_{1}, y_{2}) = 30 y_{1}y_{2}^2, y_{1} - 1 \leq y_{2} \leq 1 - y_{1}, 0 \leq y_{1} \leq 1, 0[/tex]

elsewhere

We can substitute [tex]y_{1 }= \frac{1}{2}[/tex] and [tex]y_{2 }= \frac{1}{2}[/tex] into the function:

[tex]f(\frac{1}{2} , \frac{1}{2} ) = 30(\frac{1}{2} )(\frac{1}{2} )^2\\= 30 * \frac{1}{2} * \frac{1}{4} \\= \frac{15}{4} \\= 3.75[/tex]

Therefore, [tex]f(\frac{1}{2} , \frac{1}{2} ) = 3.75.[/tex]

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