Suppose that x is the yield to maturity with continuous compounding on a zero-coupon bond that pays off$1 at time T. Assume that x follows the process dx = a(x0-x)dt + sxdzwhere a, x0, and s are positive constants and dz is a Wiener process.The bond price at time t is B = e^[-x(T -t)].(a) What is the process followed by the bond price B? (B follows Ito’s lemma). Please state the drift rate and variance rate.(b) What is the expected value and volatility of change rate in B.

The answer is that The critical point (0, 0) is asymptotically stable (C) and is a proper node (C).

To find the linearization of the given system, we need to calculate the Jacobian matrix and evaluate it at the critical point (0, 0). The given system is:

x' = -6x - y - x^2
y' = 16x - 6y - 2xy^3

The Jacobian matrix J(x, y) is:

J(x, y) = | -6 - 1 - 2x, -1          |
         | 16 - 6y^2 - 2x, -6 - 6x^2 |

Evaluating J(x, y) at the critical point (0, 0):

J(0, 0) = | -6, -1 |
         | 16, -6 |

Now we need to find the eigenvalues of this matrix to determine the stability of the critical point (0, 0). The eigenvalues of J(0, 0) are λ1 = -2 and λ2 = -10. Both eigenvalues are real and negative.

The critical point (0, 0) is asymptotically stable (C) and is a proper node (C).

Now, to find the solution to the linearization with initial conditions x(0) = -0.3 and y(0) = 1, we need to solve the linearized system:

x' = -6x - y
y' = 16x - 6y

Since the initial conditions are x(0) = -0.3 and y(0) = 1, we can't provide a closed-form solution without more information. However, the linearized system can be solved numerically or analytically using various methods such as matrix exponentials or numerical integration.

Your answer:
The critical point (0, 0) is asymptotically stable (C) and is a proper node (C).

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The 98% confidence interval for the true mean age of players in this league

(27.152, 30.548)

To find the 98% confidence interval for the true mean age of players in this baseball league using Excel, follow these steps:

1. Enter the age data in a column, for example, from A1 to A41.
2. Calculate the sample mean using the formula "=AVERAGE(A1:A41)" in any empty cell.
3. Calculate the standard error using the formula "=(2.1/SQRT(COUNT(A1:A41))" in another empty cell.
4. Find the critical value (z-score) for a 98% confidence interval using the formula "=NORM.S.INV(1-(1-0.98)/2)" in another empty cell.
5. Calculate the margin of error using the formula "z_score * standard_error" in another empty cell.
6. Find the lower confidence limit using the formula "=sample_mean - margin_of_error" in another empty cell.
7. Find the upper confidence interval limit using the formula "= sample mean + margin of error" in another empty cell.

After following these steps, you should have the lower and upper limits of the 98% confidence interval. Round the results to three decimal places and use ascending order.

Your answer:(27.152, 30.548)

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The value of cos (x + pi) is -✓3/2, based on the stated information and known trigonometric values.

As per the known fact, the value of x wil be 30° as it is the specific value whose cosine or cos is ✓3/2. Now, we also know that π represents 180°. Also, the formula for cos (a + b) is cos A cos B - sin A sin B.

So, cos (x + pi) will be -

cos x cos pi - sin x sin pi

Keeping the values and solving -

cos (x + pi) = cos 30 cos 180 - sin 30 sin 180

cos (x + pi) = (✓3/2 × -1) - (1/2 × 0)

cos (x + pi) = -✓3/2

Hence, the value of cos (x + pi) is -✓3/2.

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Answer:

x = 68°

Step-by-step explanation:

There is Two Option:

Option One: Looking at the side length we can determine that the triangle is an isosceles triangle. Which mean two angle/side are the same.

Use the Degree Angle to solve for x.

56 + 56 + x = 180

x + 112 = 180

x = 68°

Option Two: Using Law of Sine

[tex]\frac{A}{sin(A)}=\frac{B}{sin(B)} =\frac{C}{sin(C)}[/tex]

[tex]\frac{4.5}{sin(x)} =\frac{4}{sin(56)}[/tex]

[tex]sin(x)=\frac{sin(56)}{4} *4.5[/tex]

[tex]x=sin^{-1}(\frac{4.5*sin(56)}{4})[/tex]

x = 68°

The measure of the angle is 92 degrees, and its supplementary angle measures 88 degrees.

Given information:

An angle measures 4° more than the measure of its supplementary angle.

Let x be the measure of the angle in degrees.

Then, its supplementary angle measures 180° - x degrees.

According to the problem, we have:

x = (180 - x) + 4

Simplifying and solving for x, we get:

2x = 184

x = 92

Therefore, the measure of the angle is 92 degrees, and its supplementary angle measures 180 - 92 = 88 degrees.

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The measure of the unknown angles are:

m ∠a = 155°

m ∠b = 25°

m ∠c = 155°

From the question, we are to determine the measure of the unknown angles.

From the given information,

The unknown angles are ∠a, ∠b, and ∠c.

From the given diagram, we can write that

m ∠b + 155° = 180° (Sum of angles on a straight line)

Calculate the m ∠b

m ∠b + 155° = 180°

Subtract 155° from both sides of the equation

m ∠b + 155° - 155° = 180° - 155°

m ∠b = 25°

m ∠c = 155° (Corresponding interior angles)

m ∠a = 155° (Vertically opposite angles)

Hence, the values of the angles are:

m ∠a = 155°

m ∠b = 25°

m ∠c = 155°

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The above prmpt is about construction of geometric shapes. See the answers below.

a) you would need to use your compass.

i) place extend your compass to say about 30 degree.
ii) place the ponted tip on one end of the existing line segment and make two arcs on both sides of the line. Place the compass on the other end of the line and repreat.

iii) Now you have created arcs that intersect one another.

iv) place your ruler between the intersections and draw such that the points on each intersection connect with one another. This will create a line perpendicular to the exising one.

b) in this case, simple use your ruler to measure the distance between the existing dot and the line segment.

Carefully without moving your ruler upwads or downwards, extend sideways then make another dot jus tlike the original one.

Now connect both dots. This will given you two parallel lines.

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The theoretical probability of flipping heads and rolling a 1 or 2 is 1/6.

Now, We have;

The sample space for flipping a coin and rolling a number cube are:

Flipping a coin: {H, T}

There are 2 possible outcomes, since the coin is fair.

Rolling a number cube: {1, 2, 3, 4, 5, 6}

Since, There are 6 possible outcomes, since the number cube is standard

So, the total number of outcomes for the combined experiment is,

2 x 6 = 12.

The events of flipping heads and rolling a 1 or a 2 are independent,

Hence, The probability of flipping heads is,

⇒ 1/2,

And, The probability of rolling a 1 or 2 is,

⇒ 2/6,

So, the probability of flipping heads and rolling a 1 or 2 is;

= (1/2) x (2/6)

= 1/6

Therefore, the theoretical probability of flipping heads and rolling a 1 or 2 is 1/6.

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For Aₙ = aₙ₋₁ + n and a₁ = 4, the first four terms will be 4, 6, 9, 13 respectively.

We will use the recursive formula  aₙ = aₙ₋₁ + n for the recursive series to get the first four terms of the sequence, with a₁ set to 4 for the series.

a₁ = 4 (given),

a₂ = a₁+2

⇒ a₂ = 4+2

⇒ a₂ = 6,

a₃ = a₂+3

⇒ a₂ = 6+3

⇒ a₃ = 9,

a₄ = a₃+4

⇒ a₄ = 9+4

⇒ a₄ = 13,

As can be seen, one term is utilized to locate the next term in the sequence, which is why it is referred to as recursive. So the series' first four terms are 4, 6, 9, 13.

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The steady-state pmf of the Markov chain: π₀ ≈ 0.48, π₁ ≈ 0.32, π₂ ≈ 0.20

To solve for the steady-state pmf of this Markov chain, we need to find the probabilities of being in each state in the long run, assuming that the chain has stabilized. We can do this by solving the system of equations:

π = πP

where π is the row vector of state probabilities and P is the transition matrix of the Markov chain. In this case, the transition matrix is:

P =
0.6 0.7 0.4
0.1 0.1 0.8
0   0.2 0.3

and the initial state probabilities are:

π = (1 0 0)

Substituting these values into the equation, we get:

π = πP
(1 0 0) = (1 0 0)P
1 = 0.6π1 + 0.1π2
0 = 0.7π1 + 0.1π2 + 0.2π3
0 = 0.4π1 + 0.8π2 + 0.3π3

Simplifying these equations, we get:

π1 = 0.4π2
π3 = 2π2

Substituting these values back into the second equation, we get:

0 = 0.7π1 + 0.1π2 + 0.4π2
0 = 0.7π1 + 0.5π2
π2 = 1.4π1

Substituting these values into the first equation, we get:

1 = 0.6π1 + 0.1(1.4π1)
1 = 0.76π1
π1 = 1/0.76 ≈ 1.3158

Substituting this value back into the other equations, we get:

π2 ≈ 1.7368
π3 ≈ 3.4737

Therefore, the steady-state pmf of this Markov chain is:

π ≈ (0.4103 0.5789 0.0108)

This means that in the long run, the probability of the computer disk drive being in state 0 (idle) is about 0.41, the probability of being in state 1 (read) is about 0.58, and the probability of being in state 2 (write) is very low at about 0.01.

The steady-state pmf of the Markov chain for the computer disk drive in states 0 (idle), 1 (read), and 2 (write) can be found by solving a system of linear equations. Given the Markov chain transition probabilities:

0.6 0.7 0.4
0.1 0.1 0.6
0.3 0.2 0.0

Let π = [π₀, π₁, π₂] be the steady-state probabilities.

We have the following system of linear equations:

π₀ = 0.6π₀ + 0.1π₁ + 0.3π₂
π₁ = 0.7π₀ + 0.1π₁ + 0.2π₂
π₂ = 0.4π₀ + 0.6π₁ + 0.0π₂
π₀ + π₁ + π₂ = 1

Solving the system, we find the steady-state pmf of the Markov chain:

π₀ ≈ 0.48
π₁ ≈ 0.32
π₂ ≈ 0.20

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Answer:

105 = (5x-70)

Step-by-step explanation:

You are trying to find x so you would have to place that in to finally get to the end where x = 5

The calculated perimeter of the rectangle is 28 units

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

A (-2, 2) B (-2, 6) C (8, 6) D (8, 2)

The distance between the coordinates are

√[(-2 + 2)^2 + (2 - 6)^2] = 4

√[(-2 - 8)^2 + (6 - 6)^2] = 10

The perimeter is then calculated as

Perimeter = 2 * sum of dimensions

So, we have

Perimeter = 2 * (4 + 10)

Perimeter = 28

Hence, the perimeter is 28 units

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To solve this problem, we'll need to use vector addition and trigonometry. Let's start by defining our variables:

Let v be the velocity of the plane relative to the air.
Let w be the velocity of the wind.
Let s be the speed of the plane relative to the ground.
Let θ be the angle between the plane's heading and the true north.

(a) We know that the plane's speed relative to the ground is s, and its speed relative to the air is v. We can use vector addition to find the velocity of the plane relative to the ground in terms of v and w:

s = ||v + w||

where ||v + w|| represents the magnitude (or speed) of the vector v + w. We can also use trigonometry to find the angle between the plane's heading and the true north:

θ = se - tan^-1(w/v)

where tan^-1 is the inverse tangent function.

From here, we can use some basic trigonometry to solve for v in terms of s and θ:

v = s*cos(θ)

and w in terms of v and s:

w = (v + s*cos(θ))/tan(θ)

(b) To find the true velocity of the plane in terms of v and w, we need to subtract the velocity of the wind from the velocity of the plane relative to the air:

v_true = v - w

(c) To find the velocity of the wind in terms of v and w, we can rearrange the equation for w:

w = (v + s*cos(θ))/tan(θ)

to solve for w:

w = (v/tan(θ)) + s*cos(θ)/tan(θ)

Then, we can substitute v_true for v to get:

w = (v_true/tan(θ)) + s*cos(θ)/tan(θ)

Finally, we can round the speed of the wind to the nearest whole number:

speed of the wind ≈ ||w|| ≈ ||(v_true/tan(θ)) + s*cos(θ)/tan(θ)||

Note that we don't have actual values for s, θ, v, or w, so we can't compute an actual answer. However, this is the general method you would use to solve the problem.
To represent the terms you provided.

(a) The velocity of the plane relative to the air is Vp_a = (Vp_t - Vw) with a bearing of θ.

(b) The true velocity of the plane is Vp_t = (Vp_a + Vw) with a bearing of φ.

(c) The velocity of the wind is Vw = (Vp_t - Vp_a) with a bearing of (φ - θ). To find the speed of the wind, calculate the magnitude of Vw and round to the nearest whole number.

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The standard error of the mean is approximately 62.23 (rounded to two decimal places).

The probability that the sample mean will be more than 10 hours (1830 hours) is approximately 0.4364 (rounded to four decimal places).

I understand that you need help calculating the standard error of the mean and the probability that the sample mean will be more than 10 hours. Let's address each part separately:

a. To calculate the standard error of the mean, we will use the formula:

Standard Error (SE) = (population standard deviation) / sqrt(sample size)

In this case, the population standard deviation is 440 hours, and the sample size is 50 adults. Plugging these values into the formula:

SE = 440 / sqrt(50) ≈ 62.23



b. To find the probability that the sample mean will be more than 10 hours, we will first calculate the z-score for a sample mean of 1830 hours (1820 + 10 hours):

z = (sample mean - population mean) / standard error
z = (1830 - 1820) / 62.23 ≈ 0.16

Now, we can use the z-score to find the probability by looking up the area to the right of this value in a standard normal distribution table or using a calculator. For a z-score of 0.16, the area to the right is approximately 0.4364.

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The angle that has a cosine of 3/5 is: ∠A

The three main trigonometric ratios are:

sin x = opposite/hypotenuse

cos x = adjacent/hypotenuse

tan x = opposite/adjacent

The given fraction is actually 3/5. This can also be written as 6/10. Thus:

From the given triangle, we can say that:

cos A = 6/10

Thus, it represents angle A.

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We may build up a proportion and solve for the scale model radius of Neptune using the ratio between the radii of the two planets and the known scale model radius of the Earth. The scale model of Neptune that is produced has a radius of around 9.7 cm.

We may take advantage of the fact that the ratio between the two planets' radii and the ratio between their respective scale model radii is the same. Let's name the Neptune scale model radius "r" Then, we may set up the ratio shown below:

Neptune's radius is equal to the product of Earth's radius and its scale model.

With the provided values, we may simplify and obtain:

24620 km / 6370 km equals 2.5 cm / r

We obtain the following when solving for "r":

r = (24620 km * 2.5 cm) / (6370 km)

r ≈ 9.7 cm

Therefore, a scale model of Neptune would have to be drawn with a radius of approximately 9.7 cm.

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Using a t-distribution with 14 degrees of freedom (n-1) and a 98% confidence level (α = 0.02/2 = 0.01 for each tail), we have:

sample mean (x) = (2051+2061+2162+2167+2169+2171+2180+2183+2186+2195+2196+2198+2205+2210+2211)/15 = 2180.6

sample standard deviation (s) = 39

standard error of the mean (SEM) = s/√n = 39/√15 ≈ 10.077

t-score for a 98% confidence level and 14 degrees of freedom (from t-distribution table or calculator) = 2.977

Margin of error (ME) = t-score × SEM = 2.977 × 10.077 ≈ 30.05

Therefore, the 98% confidence interval for the mean hours worked per year in this state is:

(x- ME, x+ ME) = (2180.6 - 30.05, 2180.6 + 30.05) = (2150, 2211)

Rounding to the nearest integer and putting the limits in ascending order, we get:

(2150, 2211)

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Among the graphs showing relation that is attached, the graph that represents a function is the first and the image is attached

The relation that is a function is one that meet only one point when a vertical line is drawn across the graph.

This is to say that, there is only one output value for any nput value. however in any case where by the output value is more than one for a particular input then this ceases to be a function.

Applying this rule, the relation that is a function is the first and the picture is attached in the answer

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Answer:

99.5in^2

Step-by-step explanation:

10×12/2=60

5×5×3.14/2=39.25

60+39.5=99.5

Answer: 99.2699

Step-by-step explanation:

Area of a Triangle- HeightxWidthx0.5

Area of a Circle- Pi times the radius squared. Since it is a half circle, divide the answer in half.

The image that shows 1/6 divided by 3 would have a result of 1/18

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

1/6 divided by 3

The images are not given

However, the expression can be solved

So, we have

1/6 divided by 3

Express as products

1/6 divided by 3 = 1/6 * 1/3

Evaluate the products

1/6 divided by 3 = 1/18

Hence, the result is 1/18

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Answer: 512 feet^3

Step-by-step explanation:

The volume of a cube is x^3, where x is the sidelength.  8^3 is equal to 512 and since its in the 3rd dimension it's feet^3 or feet cubed.

Answer:

Approximately 243.917

Step-by-step explanation:

The cube has a volume of 8³ = 512.

The sphere has a volume of   [tex]\frac{4}{3}\pi r^3[/tex].

The volume inside the cube but outside the sphere is:

[tex]512-\frac{4}{3}\pi r^3[/tex] (1)

The radius of the sphere is equal to the sidelengths of the cube divided by 2 as seen by the picture.

So r = 8/2 = 4.

Substituting r into (1):

[tex]512-\frac{4}{3}\pi 4^3=512-\frac{256\pi }{3}=243.917[/tex]

Under the Laplace model, each of the six sides of the die is equally likely to come up. Therefore, the probability of rolling an even number is equal to the number of even sides (which is three) divided by the total number of sides (which is six). This gives us a probability of 0.5 or 50%.

To explain further, a probability model is a mathematical representation of a random process that assigns probabilities to various outcomes. In this case, the probability model for rolling a six-sided die is that each of the six sides has an equal chance of being rolled. This is called the Laplace model, named after the French mathematician Pierre-Simon Laplace.

When we say that we want to find the probability that the result is even, we are looking for the chance that the die will land on either the 2, 4, or 6 sides. Since there are three even sides out of a total of six possible outcomes, the probability of rolling an even number is 3/6 or 0.5.

In summary, under the Laplace model for rolling a six-sided die, the probability of rolling an even number is 0.5 or 50%.
In this scenario, we are considering a probability model for rolling a six-sided die. Under the Laplace model, we assume that all outcomes are equally likely. Therefore, we can find the probability of rolling an even number by determining the ratio of favorable outcomes to total possible outcomes.

A standard six-sided die has the numbers 1 to 6 on its faces. The even numbers on the die are 2, 4, and 6. So, there are 3 favorable outcomes (rolling an even number) out of 6 possible outcomes (rolling any number from 1 to 6).

To find the probability of rolling an even number, we divide the number of favorable outcomes (3) by the total number of possible outcomes (6):

Probability = (Number of favorable outcomes) / (Total number of possible outcomes)

Probability (Even) = 3 / 6

Simplifying the fraction, we get:

Probability (Even) = 1 / 2

Therefore, under the Laplace model, the probability of rolling an even number on a six-sided die is 1/2 or 50%.

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There are 46 bit strings of

length

256 that have exactly 150 0's and no double 1's in the sequence.

To solve this problem, we can first choose the positions of the 150 0's in the string. This can be done in $\binom{256}{150}$ ways.

Next, we need to place the 106 remaining bits (256 - 150 = 106) in such a way that there are no consecutive 1's. We can approach this problem recursively. Let $f(n)$ be the number of valid bit strings of length $n$. If the last bit is a 0, then there are $f(n-1)$ ways to arrange the remaining bits. If the last bit is a 1, then the second to last bit must be a 0, so there are $f(n-2)$ ways to arrange the remaining bits. Therefore, we have the recurrence relation $f(n) = f(n-1) + f(n-2)$ with

initial conditions

$f(1) = 2$ and $f(2) = 3$ (since we cannot have two consecutive 1's).

Using this recurrence relation, we can calculate $f(106)$, the number of valid bit strings of length 106, which turns out to be 5736968450.

Therefore, the total number of bit strings of length 256 with exactly 150 0's and no consecutive 1's is $\binom{256}{150} \cdot f(106) \approx 1.836 \times 10^{60}$.

Note: The reason we can approach this problem recursively is because the validity of a bit string of length $n$ only depends on the last two bits of the string. Therefore, we can break down the problem into smaller subproblems and use the previous solutions to build up to the solution for the original problem.
The number of bit strings of length 256 that have exactly 150 0's and no double 1's in the sequence can be determined using combinatorics.

First, consider that there will be 150 0's and 106 1's in the

sequence

. As we don't want any consecutive 1's, we can place each 1 between the 0's. Since there are 150 0's, there are 151 possible spaces for the 1's (including before the first 0 and after the last 0). Now, we need to place 106 1's in these 151 spaces without having any consecutive 1's.

We can treat this as a problem of

distributing

106 1's into 151 "bins" (spaces between 0's). To avoid having consecutive 1's, we can place at most 1 bit in each bin. To achieve this, we can first place 105 1's into 105 of the 151 bins. Now, we have 1 bit left to place and 46 bins remaining (151 - 105 = 46).

This problem now becomes a matter of selecting which of the 46 remaining bins the last 1 should be placed in. This can be done in 46 different ways, as there are 46 possible bins to choose from. Therefore, there are 46 bit strings of length 256 that have exactly 150 0's and no double 1's in the sequence.

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Rounded to the nearest whole degree, the F region would be represented by 30 degrees on the pie chart.

The total number of students who completed the Spanish course is:

67 + 95 + 111 + 87 + 33 = 393

To find the number of degrees for the F region on the pie chart, we need to first find the percentage of students who failed the course:

33/393 x 100% = 8.39%

To convert this percentage to degrees, we use the formula:

(degrees in a circle) x (percentage/100) = degrees in the sector

Since a circle has 360 degrees, we can plug in the values to get:

360 x (8.39/100) = 30.24 degrees

Rounded to the nearest whole degree, the answer is 30 degrees. Therefore, 30 degrees would be used to indicate the F region on the pie chart.

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Step-by-step explanation:

b+g = 297 - eqn1

let the number of boys be b and the number of girls be g

(4/9)*b = (7/9)*g

cross multiply

4x9b = 7x9g

36b=63g - eqn2

from eqn 2

36b = 63g

we can divide both sides by 36 to make b the subject of formula

b=7/4 g

substitute b in eqn 1

b+g=297

7/4 g + g = 297

11/4 g = 297

11g = 297*4

11g=1188

g = 1188/11 = 108

since b+g=297

b+108=297

b=297-108=189

therefore the no of girls is 108 and of boys is 189

189-108 = 81 so there are 81 more boys than the girls

True.

A number c is an eigenvalue of a matrix A if and only if the equation (A - cI)v = 0 has a non-zero solution, which can be rewritten as (A - cI)v = 0v. This means that v is a non-zero eigenvector of A corresponding to the eigenvalue c.

A number c is an eigenvalue of a matrix A if and only if the equation (A - cI)v = 0 has a non-zero solution, which can be rewritten as (A - cI)v = 0v. This means that v is a non-zero eigenvector of A corresponding to the eigenvalue c.

If we multiply both sides of the equation (A - cI)v = 0 by -1, we get (cI - A)v = 0. This means that v is a non-zero solution to the homogeneous equation (cI - A)v = 0.

Therefore, we can say that a number c is an eigenvalue of A if and only if the equation (A - cI)v = 0 has a non-zero solution or equivalently if and only if (cI - A)v = 0 has a nontrivial solution.

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Based on the mentioned informations and provided values, the angle at which the sun's rays hit the ground is calculated to be approximately 35.87 degrees.

We can use the concept of trigonometry to solve this problem. Let's suppose A represents the top of the tower, B represents the bottom of the tower, and the line connecting A and B represents the shadow cast by the tower. Let's assume that the angle between the sun's rays and the ground is θ.

We can use the tangent function to relate the angle θ to the dimensions of the triangle ABP:

tan(θ) = opposite / adjacent = AB / BP

We know that AB = 22 and BP = 33, so:

tan(θ) = 22/33

Taking the arctangent of both sides, we get:

θ = arctan(22/33)

Using a calculator, we find:

θ ≈ 35.87°

Therefore, the angle at which the sun's rays hit the ground is approximately 35.87 degrees.

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Therefore, further research would be needed to determine if the relationship between the price of gasoline and gasoline consumption holds at higher prices.

A linear correlation coefficient of 0.7 indicates a strong positive linear relationship between the price of gasoline and gasoline consumption. In other words, as the price of gasoline increases, gasoline consumption also tends to increase. However, correlation does not necessarily imply causation, and there may be other factors at play that influence gasoline consumption.

It is not necessarily reliable to apply the results of this study to prices of gasoline higher than $5.30 per gallon because the study only included gasoline prices within that range. Extrapolating the results beyond the range of data may lead to inaccurate predictions or conclusions. Additionally, there may be other factors at play at higher prices that were not present within the range of prices studied.

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Answer: 43 - x =25

Step-by-step explanation:

43 - x = 25

so 43 - 25 = x

x = 18