the ratio of students who prefer pineapple to students who prefer kiwi is 12 to 5. which pair of equivalent ratios could be used to find how many students prefer kiwi if there are 357 total students

a) The perimeter of the shaded figure is P = 29.9 units

b) The area of the shaded figure is A = 27.14 units²

Given data ,

Let the circumference of the semicircle C = πr

On simplifying , we get

C = π ( 3 ) = 9.42 units

Now , the total number of straight lines is n = 6 with 2 units

So , perimeter of straight lines = 12 units

Each diagonal represents a hypotenuse of an equal-sided triangle with side = 3 units

So the length of each diagonal is 3√2 units

The perimeter of shaded figure P = 9.42 units + 12 units + 2 ( 3√2 units )

P = 29.9 units

b)

The area of the shaded figure is A

Now , the value of A is

A = area of semicircle + area of square + area of triangle

A = ( πr² )/2 + ( 2 )² + 2 ( 1/2 )bh

A = 14.14 + 4 + 9

A = 27.14 units²

Hence , the perimeter and area is solved

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The complete question is attached below :

Estimate the perimeter and the area of the shaded figure to the nearest tenth.

A shaded composite figure is shown on a grid. The figure is made up of a triangle on the left, a square in the center, and a semicircle on the right.The triangle is a 45, 45, 90 triangle with a hypotenuse of 6 units. The semicircle has a diameter of 6 units. The square has a side length of 2 units. One side of the square is shared with part of the hypotenuse of the triangle, and one side is shared with part of the diameter of the semicircle.

perimeter: about

units

area: about

square units

The scale of the image , at its widest point, can be found to be 1 cm : 1. 77 feet .

When measured with a ruler, the widest point on the Coahuilaceratops skull in the center of the image would be 3. 5 cm .

Yet, the widest point of the Coahuilaceratops skull is measured to be 6. 2 feet.

The scale is thefore :
3. 5 cm : 6. 2 feet

Simplified, we have :

3. 5 cm / 3. 5  : 6. 2 feet / 3. 5

1 cm : 1. 77 ft

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Answer: The range of the incorrectly recorded data is:

96 - 50 = 46

The actual range of the data is:

96 - 50 = 46

The range is not affected by the correction of the 4th hour data because the range only depends on the difference between the highest and lowest values, which remains the same.

Step-by-step explanation:

We fail to reject the null hypothesis since the calculated t-statistic (0) is not greater than the critical values (-2.093 and 2.093). There is not enough evidence to suggest that the mean score in 2018 differs significantly from the mean score in 2017.

Based on the information given, the mean score on the math SAT in 2017 was not provided. However, assuming that the question is asking about the mean score in 2018, we can use the given values to answer the question.

(a) In order to determine if the assumptions for a hypothesis test are satisfied, we need to check if the sample is random and if the data is normally distributed. As long as the sample was selected randomly and independently of each other and the population is normally distributed, the assumptions for a hypothesis test are satisfied.

(b) We can perform a hypothesis test to investigate if the mean score in 2018 differs from the mean score in 2017 using the following steps:

Null Hypothesis (H0): The mean score in 2018 is equal to the mean score in 2017.
Alternative Hypothesis (Ha): The mean score in 2018 is not equal to the mean score in 2017.

We can use a two-tailed t-test to test the hypothesis since the population standard deviation is not known. Assuming a level of significance of 0.05, and using a t-distribution table with a degree of freedom of n-1=19, the critical values are -2.093 and 2.093.

The sample mean score in 2018 is given as 580. The mean score in 2017 is not provided in the question. Assuming that the mean score in 2017 is also 580, we can calculate the t-statistic as follows:

t = (sample mean - population mean) / (population standard deviation / sqrt(sample size))
t = (580 - 580) / (15 / sqrt(20))
t = 0

Since the calculated t-statistic (0) is not greater than the critical values (-2.093 and 2.093), we fail to reject the null hypothesis. Therefore, we can conclude that there is not enough evidence to suggest that the mean score in 2018 differs significantly from the mean score in 2017.

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Answer:

Step-by-step explanation:

First, organize the numbers; 1,1,1,2,2,3,4,5,5,6. The median is the middle number, in this case, 2 and 3 are in the middle. You'd add 2+3 which equals 5, then divide by 2 to get 2.5. The median is 2.5, to find the mode you need to see how many times one number appears. The mode is 1, the range is the largest number minus the smallest number. The range is 5, to find the mean you add all numbers up, then divide by how many numbers there are. All the numbers added up are 30, now divide that by 10 to get 3. The mean is 3. The standard deviation is 1.7 x 6.5 = 20.8

I'm only an algebra student so I may not be entirely correct.

The margin of error for a 80% confidence interval for the population mean is  57.82 square feet.

The number of square feet per house are normally distributed with a population standard deviation of 137 square feet and an unknown population mean. To find the margin of error for a 80% confidence interval, we need to use the formula:

Margin of error = z*(σ/√n)

where z is the z-score corresponding to the level of confidence (80% corresponds to z=1.282), σ is the population standard deviation (given as 137), and n is the sample size (given as 19).

Plugging in the values, we get:

Margin of error = 1.282*(137/√19) = 57.82

Therefore, the margin of error for a 80% confidence interval is 57.82 square feet.

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To find the temperature of the sun, we'll use the ideal gas law equation, which is PV = nRT. We're given pressure (P), density (ρ), average molecular weight (M), and the gas constant (R). First, we'll find the number of moles (n) and then solve for temperature (T). After the calulation the answer is found out to be option b which is approximately 2.4 x 10^7 K.

1. Calculate the number of moles (n) using the formula n = ρ/M.
  n = 1.4 g/cc / 2 g/mol = 0.7 mol/cc
2. Rearrange the ideal gas law equation to solve for temperature (T): T = PV / nR
3. Plug in the values:
  P = 1.4 x 10^10 atm
  V = 1 cc (since we are considering 1 cc of the gas)
  n = 0.7 mol
  R = 8.4 x 10^7 erg/mol/K
  T = (1.4 x 10^10 atm) x (1 cc) / (0.7 mol) x (8.4 x 10^7 erg/mol/K)
4. Perform the calculation:
  T = 1.4 x 10^10 / (0.7 x 8.4 x 10^7) = 2.38 x 10^7 K
The temperature of the sun is approximately 2.4 x 10^7 K (option b).

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The value of the expression is 4y.

Given is an expression, [tex]12x^{2} y/ 3x^2[/tex], we need to simplify it,

[tex]12x^{2} y/ 3x^2[/tex]

= 12 × x² × y / 3 × x²

= 4 × x² × y / x²

= 4y

Hence, the value of the expression is 4y.

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Answer:

Step-by-step by steo

Total number of students = n(P∪M)=100

                   Number of students who passed in physics= n(P)=55

                   Number of students who passed in maths= n(M)=67

                   Number of students who passed both physics and maths=n(P∩M)

                   ⇒n(P∪M)=n(P)+n(M)−n(P∩M)

                   ⇒100=55+67−n(P∩M)

                   ⇒n(P∩M)=122−100

                   ⇒n(P∩M)=22

Step - 2 : Find number of students who passed only in physics

                   Number of students passed in physics = 55

                   Number of students passed in physics and maths both = 22

                   ∴Number of students passed only in physics = 55−22=33

According to the given situation, 6 gallons of water weighs 50.04 pounds.

The United States and certain other nations frequently use the gallon as a unit of volume measurement. Although there are other types of gallons, the U.S. gallon, which is equivalent to 128 fluid ounces or 3.785 liters, is the most often used. It is used to calculate the volume of fluids like milk, water, petrol, and other substances. The word gallon is shortened to "gal."

One gallon of water weighs 8.34 pounds. To find the weight of 6 gallons of water, we can multiply the weight of one gallon by 6:

Weight of 6 gallons of water = 6 x 8.34 pounds

On simplifying we get:

Weight of 6 gallons of water = 50.04 pounds

Therefore, 6 gallons of water weighs 50.04 pounds.

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We can conclude that if X is normally distributed with a mean of 11 and a standard deviation of 3, then the value of x that solves P(X > x) = 0.8 is x = 13.52.

We need to find the value of x such that P(X > x) = 0.8, where X is a normally distributed random variable with mean μ = 11 and standard deviation σ = 3.

From the properties of the standard normal distribution, we know that if Z is a standard normal random variable, then P(Z > z) = 0.8 corresponds to z = 0.84 (found using a standard normal table or calculator).

We can standardize X to a standard normal random variable Z using the formula:

Z = (X - μ) / σ

Substituting the values μ = 11 and σ = 3, we get:

Z = (X - 11) / 3

Now, we want to find the value of x such that P(X > x) = 0.8. We can rewrite this as:

P(Z > (x - 11) / 3) = 0.8

Using the standard normal table or calculator, we find that P(Z > 0.84) = 0.2005.

Therefore, we can write:

0.2005 = P(Z > 0.84) = P((X - 11) / 3 > 0.84) = P(X > 11 + 3(0.84)) = P(X > 13.52)

So the value of x that solves P(X > x) = 0.8 is x = 13.52.

Therefore, we can conclude that if X is normally distributed with a mean of 11 and a standard deviation of 3, then the value of x that solves P(X > x) = 0.8 is x = 13.52.

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The English statement "the quotient of x and 9 is greater than 27" can be represented mathematically as x/9 > 27.

This inequality indicates that the value of x divided by 9 is greater than 27. In other words, x is a number that is more than 27 times 9.

For example, let's say we want to find all the values of x that satisfy this inequality. We can begin by dividing both sides by 9, which gives us:x > 243 So any value of x that is greater than 243 will satisfy the inequality.

For instance, x could be 300 or 500 or any other number larger than 243. Alternatively, we can subtract 27 from both sides to get: x/9 - 27 > 0 This form shows that the difference between x divided by 9 and 27 is positive.

We can then find the range of x that satisfies this inequality by multiplying both sides by 9: x - 243 > 0 This tells us that any value of x that is greater than 243 will satisfy the inequality.

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Sure, I can help with that! To determine which property or properties each relation fails to satisfy, we first need to understand what each of those properties means.

A relation R on a set A is reflexive if for every element a in A, (a,a) is in R.
A relation R on a set A is anti-symmetric if for every distinct elements a and b in A, if (a,b) is in R then (b,a) is not in R.
A relation R on a set A is transitive if for every elements a, b, and c in A, if (a,b) is in R and (b,c) is in R then (a,c) is in R.

Now, let's look at each of the proposed relations and determine which properties they fail to satisfy:

1. R = {(1,1), (2,2), (3,3), (1,2), (2,3), (1,3)}
This relation is not anti-symmetric because (1,2) is in R and (2,1) is also in R.

2. R = {(1,1), (2,2), (3,3), (1,2), (2,1)}
This relation is not transitive because (1,2) is in R and (2,1) is also in R, but (1,1) is not in R.

3. R = {(1,1), (2,2), (3,3), (1,2), (2,3), (1,3), (3,2)}
This relation is not anti-symmetric because (3,2) is in R and (2,3) is also in R.

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The relation R defined on the positive integers is not a partial order, as it does not satisfy the antisymmetric property.

The relation R is an equivalence relation, as it satisfies the three defining properties: reflexivity, symmetry, and transitivity.

The relation R defined on the positive integers is not a partial order. This can be explained as follows :

The relation R does not satisfy the antisymmetric property. Specifically, there exist positive integers a and b such that a R b and b R a, but a ≠ b. For example, consider a = 4 and b = 6. Both 4 and 6 have a common divisor greater than 1 (namely, 2), so 4 R 6 and 6 R 4. However, 4 ≠ 6, so the relation R is not antisymmetric and therefore cannot be a partial order.

The relation R is an equivalence relation. This is because it satisfies the three defining properties: reflexivity, symmetry, and transitivity.

Reflexivity follows immediately from the definition of a common divisor, since any positive integer has itself as a common divisor.

Symmetry also follows from the definition, since if a and b have a common divisor greater than 1, then so do b and a.

Finally, transitivity follows from the fact that if a and b have a common divisor greater than 1, and b and c have a common divisor greater than 1, then a and c must also have a common divisor greater than 1 (namely, any common divisor of b and a, and any common divisor of b and c, must also be a common divisor of a and c). Therefore, the relation R is an equivalence relation on the positive integers.

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1,814,400 different 10-letter words can be formed from the given letters.

To determine how many different 10-letter words (real or imaginary) can be formed from the letters T, S, O, Y, M, H, S, F, C, and B, we need to calculate the number of unique permutations.

Since there are 10 letters, with the letter "S" appearing twice, we can use the following formula:

Number of permutations = 10! / (2!)

1. Calculate the factorial of 10 (10!): 10 × 9 × 8 × 7 × 6 × 5 × 4 × 3 × 2 × 1 = 3,628,800
2. Calculate the factorial of 2 (2!): 2 × 1 = 2
3. Divide the factorial of 10 by the factorial of 2: 3,628,800 / 2 = 1,814,400

So, 1,814,400 different 10-letter words can be formed from the given letters.

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Nachelle needs to score 110 on Exam B in order to do equivalently well as she did on Exam A.

Given data: Nachelle earned a score of 725 on Exam A that had a mean of 700 and a standard deviation of 50.

She is about to take Exam B that has a mean of 100 and a standard deviation of 20.Let x be the score on Exam B that Nachelle needs to do equivalently well as she did on Exam A.

According to the Z-score formula, Z = (x - μ) / σ where Z is the standard score, x is the value of the element, μ is the population mean, and σ is the standard deviation.

Let's calculate the Z-scores for Nachelle's scores on Exams A and B.

Z-score for Nachelle's score on Exam AZ1 = (725 - 700) / 50 = 0.5

Z-score for Nachelle's score on Exam BZ2 = (x - 100) / 20 = (x - 100) / 20

Now, if Nachelle has to do equivalently well on Exam B as she did on Exam A, then the Z-scores for both exams should be equal.

Hence,0.5 = (x - 100) / 20Solving for x,x - 100 = 0.5 × 20 = 10x = 100 + 10 = 110.

Therefore, Nachelle needs to score 110 on Exam B in order to do equivalently well as she did on Exam A.

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The angle of elevation from Row A to the bottom of the screen 13.3.

The angle of depression from Row P to the bottom of the screen 4.4

let angle of elevation of Row A to the bottom of the Screen be Ae

So, tan Ae = 2.5 - 5.8tan 11  /5.8

tan Ae = 0.23665

Ae = 13.3

Now, let the angle of depression of Row P to the bottom of the screen be P

tan P  =  2.3 tan 11- 2.5/ 2.5

tan P = 0.077

P = 4.4

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Answer:

3.29 cm.

Step-by-step explanation:

The formula for the volume of a cone is V = (1/3)πr^2h, where V is the volume, r is the radius, and h is the height.

Substituting the given values, we get:

376.8 = (1/3)π(6^2)h

Simplifying:

376.8 = 36πh

h = 376.8 / (36π)

h ≈ 3.29 cm

Therefore, the height of the orange cone is approximately 3.29 cm.

To discover the likelihood that a haphazardly chosen bat will final more than 70 days, we have to be standardize the esteem utilizing the standard typical conveyance. Ready to do this by calculating the z-score:

z = (70 - 60) / 5 = 2

Employing a standard typical dissemination table or calculator, we discover that the likelihood of a z-score more noteworthy than 2 is roughly 0.0228. Hence, the likelihood that a haphazardly chosen bat will final more than 70 days is around 0.0228.

To discover the rate of bats that fall flat to final the outlined sum of days (48-72), we have to be discover the region beneath the typical distribution curve to the cleared out of 48 and to the proper of 72 and include them together. This speaks to the likelihood of a bat enduring less than 48 days or more than 72 days.

To standardize the values of 48 and 72, we utilize the same equation as in portion (a):

z1 = (48 - 60) / 5 = -2.4

z2 = (72 - 60) / 5 = 2.4

Employing a standard ordinary conveyance table or calculator, we discover that the range to the cleared out of z1 is around 0.0082 and the region to the correct of z2 is additionally around 0.0082. Hence, the full likelihood of a bat falling flat to final between 48 and 72 days is roughly:

0.0082 + 0.0082 = 0.0164

To change over this to a rate, we duplicate by 100:

0.0164 * 100 = 1.64%

Hence, roughly 1.64% of bats come up short to final the outlined sum of days.

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Answer:

Area of the circle = 55.39 in²

Circumference of the circle = 26.38 in

Step-by-step explanation:

Given, the diameter of the circle = 8.4

so the radius is given by the formula

∴ d = 2r

→ 8.4 = 2×r

→r=4.2 in      [i]

Area of the circle = π×r²     [ii]

substituting the value of r in equation [ii]

we get,

area of circle = 3.14×(4.2)²

                      =55.39 in²

circumference of the circle =2πr     [iii]

substituting the value of r in equation [iii]

we get,

circumference of the circle = 2×3.14×4.2

                                             = 26.38 in

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The probability that we draw a total of 4 cards is approximately 0.074.

The probability that we draw a total of n cards is a function of n.

the expected number of times we draw a card until we get a heart or a face card is: E(X) = 1/p = 3.25.

To solve this problem, we can use the geometric distribution, which models the number of trials needed to get the first success in a sequence of independent trials.

Since we are drawing a heart or a face card, there are 16 cards (4 face cards and 12 hearts) out of 52 that are successful. Therefore, the probability of success is:

p = 16/52 = 4/13

What is the probability that we draw a total of 4 cards

We want to find the probability that we get the first success on the fourth trial, i.e., we draw three non-successes followed by a success. The probability of this event is:

P(X = 4) = [tex](1 - p)^3 * p = (9/13)^3 * (4/13) = 0.074[/tex]

We want to find the probability that we get the first success on the nth trial, i.e., we draw n-1 non-successes followed by a success. The probability of this event is:

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

The expected value of a geometric distribution is 1/p. Therefore, the expected number of times we draw a card until we get a heart or a face card is:

E(X) = 1/p = 13/4

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Answer:

Volume of sphere A

= (4/3)π(3^3) = 36π cubic units

Volume of sphere B

= (4/3)π((3/2)^3) = (4/3)π(27/8) = (9/2)π = 4.5π cubic units

The ratio of the volume of sphere A to sphere B is 4.5:36 = 1:8.

The amount of feed the container can hold is 232 11/16 cubic inches. The correct option is the third option - two hundred thirty-two and eleven-sixteenths in3

From the question, we are to calculate how much feed the container can hold.

From the given information, the container is a rectangular prism

To calculate how much fed the container can hold, we will determine the volume of the rectangular prism

Volume of a rectangular prism is given by the formula

Volume = Length × Width × Height

Thus,

Volume of the container = 4 1/4 × 18 1/4 × 3

Volume of the container = 232 11/16 cubic inches

Hence,

The quantity of feed it can hold is 232 11/16 cubic inches

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The Approximate  height after 3 seconds using 6 rectangles is 255.45m

To inexact the stature of the shot after 3 seconds utilizing 6 rectangles, we are able to utilize the midpoint to run the show of guess. Here are the steps:

1. Partition the interim [0, 3] into 6 subintervals of rise to width, which is (3 - 0)/6 = 0.5. The 6 subintervals are:

[0, 0.5], [0.5, 1], [1, 1.5], [1.5, 2], [2, 2.5], [2.5, 3].

2. For each subinterval, discover the midpoint and assess the work v(t) at that midpoint. The stature of the shot at that time can be approximated as the item of the speed and the width of the subinterval.

3. Add up the zones of the 6 rectangles to urge the whole surmised stature(height).

Here are the calculations:

- For the subinterval [0, 0.5], the midpoint is (0 + 0.5)/2 = 0.25. The speed at t = 0.25 is v(0.25) = -15.4(0.25) + 147 = 143.65.

The inexact tallness amid this subinterval is 0.5(143.65) = 71.825.

- For the subinterval [0.5, 1], the midpoint is (0.5 + 1)/2 = 0.75. The speed at t = 0.75 is v(0.75) = -15.4(0.75) + 147 = 135.85.

The inexact stature amid this subinterval is 0.5(135.85) = 67.925.

- For the subinterval [1, 1.5], the midpoint is (1 + 1.5)/2 = 1.25. The speed at t = 1.25 is v(1.25) = -15.4(1.25) + 147 = 123.5.

The surmised stature amid this subinterval is 0.5(123.5) = 61.75.

- For the subinterval [1.5, 2], the midpoint is (1.5 + 2)/2 = 1.75. The speed at t = 1.75 is v(1.75) = -15.4(1.75) + 147 = 107.9.

The inexact tallness amid this subinterval is 0.5(107.9) = 53.95.

- For the subinterval [2, 2.5], the midpoint is (2 + 2.5)/2 = 2.25. The speed at t = 2.25 is v(2.25) = -15.4(2.25) + 147 = 88.15.

The surmised tallness amid this subinterval is 0.5(88.15) = 44.075.

- For the subinterval [2.5, 3], the midpoint is (2.5 + 3)/2 = 2.75. The speed at t = 2.75 is v(2.75) = -15.4(2.75) + 147 = 64.15.

The inexact tallness amid this subinterval is 0.5(64.15) = 32.075.

To induce the full inexact tallness, we include the zones of the 6 rectangles:

Add up to surmised height = 71.825 + 67.925 + 61.75 + 53.95 = 255.45

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Theorem 5.6.1 states that any partially ordered set of size mn has either a chain of size m or an antichain of size n.

To prove this theorem, we can use induction on m.

Base Case: When m = 1, the partially ordered set has n elements, which can be viewed as an antichain of size n or a chain of size 1.

Inductive Hypothesis: Assume that any partially ordered set of size (m-1)n has either a chain of size m-1 or an antichain of size n.

Inductive Step: Consider a partially ordered set P of size mn. We choose an element p in P, and consider the two sets:

A = {x ∈ P : x < p}

B = {x ∈ P : x > p}

Note that p cannot be compared to any element in A or B, since otherwise, we would have either a chain of length m or an antichain of length n. Therefore, p is not contained in any chain or antichain of P.

Now, we can apply the inductive hypothesis to the sets A and B. If A has a chain of size m-1, then we can add p to the end of that chain to get a chain of size m. Otherwise, A has an antichain of size n-1, and similarly, B has either a chain of size m-1 or an antichain of size n-1. If both A and B have antichains of size n-1, then we can combine them with p to get an antichain of size n.

Therefore, in all cases, we have either a chain of size m or an antichain of size n, as required. This completes the proof of Theorem 5.6.1.

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(a)The logistic differential equation for these data.

dP/dt = 0.0017P(1 - P/5900)

(b) After 50 years, we would need to repeat this process 50 times to get an estimate of the population.

(c) P(t) = 6900/(1 + 5.882[tex]e^(-0.0017t))[/tex]

(d) The population after 50 years is 5869.4.

(a) The calculated differential condition for populace development is:

dP/dt = kP(1 - P/K)

where P is the populace, t is time, k is the development rate, and K is the carrying capacity.

Substituting the given values, we get:

dP/dt = 0.0017P(1 - P/5900)

(b) Utilizing Euler's strategy with step measure h = 1, we have:

P(0) = 1000

P(1) = P(0) + hdP/dt(P(0))

P(1) = 1000 + 10.00171000(1 - 1000/5900)

P(1) ≈ 1008

After 50 years, we would rehash this prepare 50 times to induce a gauge for the population.

(c) To discover an equation for the populace after a long time, able to utilize the calculated condition with starting condition P(0) = 1000. Joining both sides, we get:

∫(1/P) dP = ∫k(1 - P/K) dt

ln|P| = kt - ln|K - P|

Utilizing the starting condition, we get:

ln|1000| = k0 - ln|K - 1000|

ln|K - 1000| = ln|K| + ln|1000|

ln|K - 1000| = ln|K1000|

K - 1000 = K1000/e^(k0)

K - 1000 = K*1000/1

K = 6900

In this manner, the equation for the populace after a long time is:

P(t) = 6900/(1 + 5.882e^(-0.0017t))

(d) To discover the populace after 50 a long time, able to utilize the equation:

P(50) = 6900/(1 + 5.882e^(-0.001750))

P(50) ≈ 5869.4

The populace after 50 a long times is around 5869.4. 

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If a man swimming in a stream which flows 4 Km/h finds that in a given time he can swim 5 times as far at 12 km/h rate he can swim.

Production of upstream oil and gas is carried out by businesses that locate, mine, or create raw resources. The end-user or customer is closer to the production of oil and gas in the downstream sector. Here is a look at the upstream and downstream production of oil and gas, their individual roles, and how they fit into the larger supply chain.

Let's take swimmer speed  = x km/h.

The time is taken by the swimmer = t

The speed of the stream = 4 km/h

The speed when swimming with the stream = x+ 4 km/h

The distance covered when swimming with the stream D₁= (x+4)t

The speed when swimming against the stream = x -4

The distance covered when swimming against the stream D₂= (x-4)t

The swimmer swims 5 times when swimming against the stream

Therefore,

D₁ = 5D₂

(x+4)t = 2((x-4)t)

x+4 = 2x- 8

x = 12 km/h

12 km/h is the speed of the swimmer.

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