Pls helps me out with this! ASAP

Answer:

In a right-angled triangle XOY, with right angle at O, let M and N be the midpoints of legs OX and OY, respectively. If XN = 19 cm and YM = 22 cm , we need to find the length of XY.

We can use the Pythagorean theorem to solve this problem. Let the length of OX be a and the length of OY be b. Then, from the midpoint theorem, we know that XN = (1/2)b and YM = (1/2)a.

Using the Pythagorean theorem, we have:

a^2 + b^2 = OX^2 + OY^2 = XY^2

Substituting XN and YM in terms of a and b, we get:

(1/4)b^2 + (1/4)a^2 = (1/2)XY^2

Substituting the given values of XN and YM, we get:

19^2 + 22^2 = (1/2)XY^2

Simplifying, we get:

XY^2 = 865

Taking the square root of both sides, we get:

XY = sqrt(865) = 29.4 cm (approx.)

Therefore, the length of XY is approximately 29.4 cm.

Step-by-step explanation:

The probability that he/she has Internet service given that he/she had already television service is 62.5%.

We need to find the probability that a resident has at least one of the two services and the probability that a resident has Internet service given they already have television service.

(1) To find the probability of a resident having at least one of these two services, we can use the formula                     P(A ∪ B) = P(A) + P(B) - P(A ∩ B), where A represents Internet service and B represents television service.

P(A) = 0.60 (60% have Internet service)
P(B) = 0.80 (80% have television service)
P(A ∩ B) = 0.50 (50% have both services)

P(A ∪ B) = 0.60 + 0.80 - 0.50 = 0.90 (90%)

Therefore, the probability that a resident has at least one of the two services is 90%.

(2) To find the probability of a resident having Internet service given they have television service, we can use the formula P(A | B) = P(A ∩ B) / P(B).

P(A | B) = P(A ∩ B) / P(B) = 0.50 / 0.80 = 0.625 (62.5%)

So, the probability that a resident has Internet service given they already have television service is 62.5%.

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Answer:

no

Step-by-step explanation:

to be a right triangle it must satisfy the Pythagoras theorem. 5-12-13 works

Answer:

Yes.

Step-by-step explanation:

29,61,90 are right triangles

15+11+13 is 29 therefor its a right triangle

The percentage of his budget allotted to the variable expenses is 46%.

Winston has $2,003 to budget each month. He budgets $1,081 for fixed expenses and the remainder of his budget is set aside for variable expenses.

Therefore, the percentage allotted for variable expenses can be calculated as follows:

Hence,

percent for allotted for variable expenses = 2003 - 1081 / 2003 × 100

percent for allotted for variable expenses = 922 / 2003 × 100

percent for allotted for variable expenses = 92200 / 2003

percent for allotted for variable expenses = 46.0309535696

percent for allotted for variable expenses = 46%

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An ellipse is a geometric shape that looks like a flattened circle, with two focal points. The standard form of the equation of an ellipse with center at the origin is (x^2/a^2) + (y^2/b^2) = 1, where a and b are the lengths of the major and minor axes, respectively.

To find the standard form of the equation of an ellipse with given characteristics and center at the origin, we first need to identify the values of a and b. The major axis is the longer axis of the ellipse, while the minor axis is the shorter axis. If we know the length of the major and minor axes, we can easily find a and b.

Once we have identified a and b, we can plug them into the standard form equation and simplify it to find the equation of the ellipse. For example, if the length of the major axis is 8 and the length of the minor axis is 6, then a = 4 and b = 3. We can plug these values into the equation (x^2/4^2) + (y^2/3^2) = 1 and simplify it to get the standard form of the equation of the ellipse.

In conclusion, finding the standard form of the equation of an ellipse with given characteristics and center at the origin involves identifying the values of a and b, and then plugging them into the standard form equation and simplifying it.

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The 20th percentile for incubation times is 22 days. The incubation times that make up the middle 95% are between 21 and 25 days.

(a) To determine the 20th percentile for incubation times, follow these steps:

1. Find the z-score corresponding to the 20th percentile using a standard normal distribution table or calculator.

For the 20th percentile, you'll look for an area of 0.20. The z-score is approximately -0.84.
2. Use the following formula to convert the z-score to the incubation time (X): X = μ + (z × σ),

where μ is the mean, z is the z-score, and σ is the standard deviation.
3. Plug in the values: X = 23 + (-0.84 × 1) = 23 - 0.84 = 22.16
4. Round to the nearest whole number: X ≈ 22 days
The 20th percentile for incubation times is 22 days.

(b) To determine the incubation times that make up the middle 95%, follow these steps:

1. Find the z-scores corresponding to the lower and upper bounds of the middle 95%. You'll look for areas of 0.025 and 0.975 in the standard normal distribution table. The z-scores are approximately -1.96 and 1.96.
2. Use the formula X = μ + (z × σ) to convert the z-scores to incubation times.
3. For the lower bound, plug in the values: X = 23 + (-1.96 × 1) = 23 - 1.96 = 21.04
4. For the upper bound, plug in the values: X = 23 + (1.96 × 1) = 23 + 1.96 = 24.96
5. Round to the nearest whole number: Lower bound ≈ 21 days, Upper bound ≈ 25 days

The incubation times that make up the middle 95% are between 21 and 25 days.

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The probability that between 124 and 125​, inclusive are on time is approximately 0.0655.

Given:

The probability of a flight arriving on time is 0.88

Number of flights selected randomly = 145

Let X be the number of flights arriving on time.

(a) P(exactly 128 flights are on time)

Using the normal approximation to the binomial distribution, we have:

Mean, µ = np = 145 × 0.88 = 127.6

Standard deviation, σ = sqrt(np(1-p)) = sqrt(145 × 0.88 × 0.12) = 3.238

P(X = 128) can be approximated using the standard normal distribution:

z = (128 - µ) / σ = (128 - 127.6) / 3.238 = 0.1234

P(X = 128) ≈ P(z = 0.1234) = 0.4511

Therefore, the probability that exactly 128 flights are on time is approximately 0.4511.

(b) P(at least 128 flights are on time)

P(X ≥ 128) can be approximated as:

z = (128 - µ) / σ = (128 - 127.6) / 3.238 = 0.1234

P(X ≥ 128) ≈ P(z ≥ 0.1234) = 0.4515

Therefore, the probability that at least 128 flights are on time is approximately 0.4515.

(c) P(fewer than 124 flights are on time)

P(X < 124) can be approximated as:

z = (124 - µ) / σ = (124 - 127.6) / 3.238 = -1.1154

P(X < 124) ≈ P(z < -1.1154) = 0.1326

Therefore, the probability that fewer than 124 flights are on time is approximately 0.1326.

(d) P(between 124 and 125​, inclusive are on time)

P(124 ≤ X ≤ 125) can be approximated as:

z1 = (124 - µ) / σ = (124 - 127.6) / 3.238 = -1.1154

z2 = (125 - µ) / σ = (125 - 127.6) / 3.238 = -0.7388

P(124 ≤ X ≤ 125) ≈ P(-1.1154 ≤ z ≤ -0.7388) = P(z ≤ -0.7388) - P(z < -1.1154)

P(124 ≤ X ≤ 125) ≈ 0.1981 - 0.1326 = 0.0655

Therefore, the probability that between 124 and 125​, inclusive are on time is approximately 0.0655.

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Answer:

1344

Step-by-step explanation:

multiply the length(12in) ×width(14in)×height(8in)

We can see that the constant of proportionality between x and y is k = 8, using that we can see that when x = 12 the value of y is 96

We know that x and y vary directly, then we can write the equation that relates these variables as.

y = kx

Where k is a constant

We know that y = 48 when x = 6, then we can write.

48 = k*6

48/6 = k

8 = k

The relation is:

y = 8*x

Then if x = 12, we have.

y = 8*12

y = 96

That is the value of y.

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Answer: I believe your answer is number one

Step-by-step explanation:

The team that had the best overall record for the season is C. Eagles; they have a larger mean value of about 22 points Falcons; they have a larger mean value of about 20.9 points

The best measure of center to compare the overall records of the two teams is the mean (average) value of the points earned in each game. This is because the mean is a commonly used measure of center in statistics and provides a good overall summary of the data set.

In this case, the Eagles have a larger mean value of about 22 points (calculated by summing the points and dividing by the number of games) compared to the Falcons' mean value of about 20.9 points. So, the correct answer would be Eagles; they have a larger mean value of about 22 points

It's worth noting that using the median value in this case is not the most accurate, because this will give you a more robust representation of the center of the dataset in cases where data have outliers.

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The particular solution for the given differential equation when y(1) = 1 is:
arctan(y) = x + π/4 - 1

The given equation is:
dy/dx = y² + 1

To solve this first-order, nonlinear, ordinary differential equation, we can use the separation of variables method. Here are the steps:

1. Rewrite the equation to separate variables:
dy/(y² + 1) = dx

2. Integrate both sides:
∫(1/(y² + 1)) dy = ∫(1) dx

On the left side, the integral is arctan(y), and on the right side, it's x + C:
arctan(y) = x + C

Now, we'll find the particular solution using the initial condition y(1) = 1:
arctan(1) = 1 + C

Since arctan(1) = π/4, we can solve for C:

π/4 = 1 + C
C = π/4 - 1

So, the particular solution for the given differential equation when y(1) = 1 is:

arctan(y) = x + π/4 - 1

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The numerical length of JK is 6 based on the expression of segments of JL, JK and KL.

The complete segment JL is made up of constituent small segments JK and KL. So, using this relation to find the length of JK by relaying the expression.

JL = JK + KL

4x + 2 = 3x + 5x - 6

Performing addition on Right Hand Side of the equation

4x + 2 = 8x - 6

Rewriting the equation

8x - 4x = 6 + 2

Performing subtraction and addition on Left and Right Hand Side of the equation

4x = 8

x = 8/4

Performing division

x = 2

So, the length of JK = 3×2

Length of JK = 6

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The closest option is (d) 12.054 to 15.946.

To find the confidence interval for the mean of a normal population, we use the formula:

CI = x ± z* (σ/√n)

where x is the sample mean, z* is the critical value from the standard normal distribution corresponding to the desired confidence level (80% in this case), σ is the population standard deviation (unknown), and n is the sample size.

Since the population standard deviation is unknown, we can estimate it using the sample standard deviation:

s = √[ Σ(xi - x)² / (n - 1) ]

where xi is the ith observation, x is the sample mean, and n is the sample size.

Plugging in the values from the sample, we get:

x = (10 + 12 + 18 + 16) / 4 = 14

s = √[ (10-14)² + (12-14)² + (18-14)² + (16-14)² / 3 ] = 2.94

To find the critical value, we look it up from a standard normal distribution table or use a calculator. For an 80% confidence interval, the critical value is approximately 1.282.

Plugging in all the values, we get:

CI = 14 ± 1.282 * (2.94 / √4) = 14 ± 1.4952

Therefore, the 80% confidence interval for the mean is:

CI = (14 - 1.4952, 14 + 1.4952) = (12.5048, 15.4952)

The closest option is (d) 12.054 to 15.946.

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The solution is, : Factor out the greatest common factor, then solving the equation 4(2x – 1) + 8 = 4x + 24, we get, x=5.

Here, we have,

given that,

4(2x – 1) + 8 = 4x + 24.

Factor out a 4 from each side

4{ 2x-1 +2} = 4(x+6)

Cancel the 4 on each side

2x-1+2 = x+6

Combine like terms

2x+1 = x+6

Subtract x from each side

2x+1-x = x+6-x

x+1 = 6

Subtract 1 from each side

x+1-1 = 6-1

x = 5

Factor out the greatest common factor, then solving the equation 4(2x – 1) + 8 = 4x + 24, we get, x=5.

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complete question:

Solve the equation 4(2x – 1) + 8 = 4x + 24. Factor out the greatest common factor, then

solve.

The probability that a student studied for exactly 5 hours is 0.17. (third option)

Probability calculates the chances that an event would happen. The probability the event occurs with certainty is 1 and the probability that the event would not occur with certainty is 0. The more likely the event is to happen, the closer the probability value would be to 1.

Probability that a student studied for exactly 5 hours = number of students that studied for 5 hours / total students surveyed

= 6 / 35 = 0.17

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The balance payment offered in Option B is approximately $432,215.64.

To find the balance payment offered in Option B, we'll need to determine the present value of the payment in Option A and compare it to the upfront payment in Option B.

Option A: $540,000 payment in 5 years
Interest rate: 6% compounded quarterly, so 1.5% (0.015) per quarter
Number of quarters: 5 years * 4 quarters/year = 20 quarters

Present Value of Option A = 540,000 / (1 + 0.015)^20
PV_A = $402,265.62 (rounded to the nearest cent)

Option B: $80,000 paid upfront
PV_B = $80,000

To find the balance payment, we'll first determine the remaining present value for Option B:

Remaining PV_B = PV_A - PV_B
Remaining PV_B = $402,265.62 - $80,000
Remaining PV_B = $322,265.62

Now, we'll convert the remaining present value back to its future value (in 5 years) using the same interest rate and compounding period:

Balance payment = Remaining PV_B * (1 + 0.015)^20
Balance payment = $322,265.62 * (1 + 0.015)^20
Balance payment = $432,215.64 (rounded to the nearest cent)

So, we can state that the balance payment offered in Option B is approximately $432,215.64.

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The area of the square is increasing at a rate of 64 cm²/s when the area of the square is 16 cm² and each side is increasing at a rate of 8 cm/s.

The area of the rectangle is increasing at a rate of 67 cm²/s when the length is 13 cm and the width is 4 cm, and the length and width are increasing at rates of 3 cm/s and 5 cm/s, respectively.

The volume is increasing at the rate of 14400π mm³/s when the diameter is 60 mm.

We have,

1)

Each side of a square is increasing at a rate of 8 cm/s.

Let's use the formula for the area of a square:

A = s², where s is the length of the side of the square.

We are given that ds/dt = 8 cm/s, where s is the length of the side of the square, and we want to find dA/dt when A = 16 cm^2.

Using the chain rule, we can find dA/dt as follows:

dA/dt = d/dt (s^2) = 2s(ds/dt)

When A = 16 cm²,

s = √(A) = √(16) = 4 cm.

When A = 16 cm²,

dA/dt = 2s(ds/dt) = 2(4)(8) = 64 cm^2/s

So the area of the square is increasing at a rate of 64 cm²/s when the area of the square is 16 cm² and each side is increasing at a rate of 8 cm/s.

2)

The length of a rectangle is increasing at a rate of 3 cm/s and its width is increasing at a rate of 5 cm/s.

Let's use the formula for the area of a rectangle:

A = lw, where l is the length and w is the width.

We are given that dl/dt = 3 cm/s and dw/dt = 5 cm/s, and we want to find dA/dt when l = 13 cm and w = 4 cm.

Using the product rule, we can find dA/dt as follows:

dA/dt = d/dt (lw) = w(dl/dt) + l(dw/dt)

When l = 13 cm and w = 4 cm, we have:

dA/dt = w(dl/dt) + l(dw/dt) = 4(3) + 13(5) = 67 cm²/s

So the area of the rectangle is increasing at a rate of 67 cm^2/s when the length is 13 cm and the width is 4 cm, and the length and width are increasing at rates of 3 cm/s and 5 cm/s, respectively.

3)

The radius of a sphere is increasing at a rate of 4 mm/s.

Let's use the formulas for the radius and volume of a sphere:

r = d/2 and V = (4/3)πr^3, where d is the diameter.

We are given that dr/dt = 4 mm/s when d = 60 mm, and we want to find dV/dt.

Using the chain rule, we can find dV/dt as follows:

dV/dt = d/dt [(4/3)πr^3] = 4πr^2(dr/dt)

When d = 60 mm, we have r = d/2 = 30 mm.

dV/dt = 4πr²(dr/dt) = 4π(30)²(4) = 14400π mm³/s

Thus,

The area of the square is increasing at a rate of 64 cm²/s when the area of the square is 16 cm² and each side is increasing at a rate of 8 cm/s.

The area of the rectangle is increasing at a rate of 67 cm²/s when the length is 13 cm and the width is 4 cm, and the length and width are increasing at rates of 3 cm/s and 5 cm/s, respectively.

The volume is increasing at the rate of 14400π mm³/s when the diameter is 60 mm.

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Answer:

Area= Length × Width

Area= 45 × 15 (you get 45 as your Length because it says in the equation that the Length of the end table is 45 inches and you get 15 as the width because in the equation it says the width is 15 inches)

Answer = 45 × 15=675

The area of the shape based on the information will be 90 inches ².

The area of a shape simply means the total space that is taken by the shape. It simply expresses the extent of the region on a particular plane as well as a curved surface.

The area of the shape based on the information will be:

= 1/2 b × h

= 1/2 × 15 × 12

= 15 × 6

= 90 inches ².

In conclusion, the area of the shape based on the information will be 90 inches ².

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Answer:

We can use the formula for the area of a circle to solve this problem. We know that the area of one piece of pizza is 14.13 in². If the pizza is cut into eight equal pieces, then the total area of the pizza is 8 times the area of one piece of pizza, which is 8 * 14.13 = 113.04 in².

The formula for the area of a circle is A = πr², where A is the area of the circle and r is the radius. Solving for r, we get r = √(A/π). Substituting the total area of the pizza, we get:

r = √(113.04/π) ≈ 6

Therefore, the radius of the pizza is approximately 6 inches.

Step-by-step explanation:

Answer:

33 qt

Step-by-step explanation:

theirs 4 quarts in a gallon so multiply the volume value by 4 :)

(a) standard error (SE) = 2.0512

(b) probability that the sample mean is smaller than 128 = 0.1635

(c) probability that the sample mean is at least 131 = 0.3121

(a) To calculate the standard error (SE), we use the formula:

SE = (population standard deviation) / sqrt(sample size).

In this case, the population standard deviation is 20, and the sample size is 95.

Therefore,

SE = 20 / sqrt(95) ≈ 2.0512.

(b) To calculate the probability that the sample mean is smaller than 128, first find the z-value using the formula:

z = (sample mean - population mean) / SE.

In this case,

z = (128 - 130) / 2.0512 ≈ -0.98.

Then, use a z-table or calculator to find the probability associated with the z-value:

P(z < -0.98) ≈ 0.1635.

Thus, P(x < 128) = P(z < -0.98) = 0.1635.

(c) To calculate the probability that the sample mean is at least 131, first find the z-value:

z = (131 - 130) / 2.0512 ≈ 0.49.

Then, we need to find the probability P(z ≥ 0.49). Since z-tables provide the probability for z ≤ a given value, we can use the complement rule:

P(z ≥ 0.49) = 1 - P(z ≤ 0.49) ≈ 1 - 0.6879 = 0.3121.

Thus, P(x ≥ 131) = P(z ≥ 0.49) = 0.3121.

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The percent decrease in the mower's price to the nearest tenth of a percent is 25.3%.

We have,

We need to calculate the initial discount given by the 23% off sale:

Discount

= 0.23 x $425

= $97.75

After the first discount, the mower's price is:

New price

= $425 - $97.75

= $327.25

Then, the store manager discounted it by another $10, so the final price is:

Final price

= $327.25 - $10

= $317.25

The total decrease in price is:

= $425 - $317.25

= $107.75

The percent decrease in the mower's price is:

Percent decrease

= (107.75 / 425) x 100%

= 25.3%

Therefore,

The percent decrease in the mower's price to the nearest tenth of a percent is 25.3%.

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If the radius of the bullseye in the dart board is 0.5 cm, then the area of dartboard not including the bullseye is 182.5 cm².

The outer circumference of the dartboard is 48 centimeters, so we can use this to find the radius of the dartboard:

⇒ 48 = 2πr,

Dividing both sides by 2π, we get:

⇒ r = 48/2π ≈ 7.64,

So, radius of the dartboard is 7.64 centimeters.

The area(A) of a circle is = πr²,

where "r" is = radius,

The area of the bull's eye is:

⇒ Area of Bullseye = π × (0.5)²,

⇒ 0.785,

To find the area of the dartboard not including the bull's eye,

We subtract the area of the bull's eye from the area of the whole dartboard:

⇒ Area of dartboard not including bullseye = πr² - (area of bullseye),

⇒ Area of dartboard not including bullseye = 3.14×7.64×7.64 - 0.785,

⇒ Area of dartboard not including bullseye = 183.28 - 0.785,

⇒ Area of dartboard not including bullseye ≈ 182.5,

Therefore, the area of the dartboard not including the bull's eye is approximately 182.5 cm².

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The matrix A that allows x(t) = 5e^(2t) - 3e^(t) to be a solution to the system x'(t) = Ax(t) is:

A = [2 0; 0 2]

We can find A by plugging in x(t) = 5e^(2t) - 3e^(t) into x'(t) = Ax(t) and solving for A.

x'(t) = d/dt (5e^(2t) - 3e^(t)) = 10e^(2t) - 3e^(t)

Ax(t) = A(5e^(2t) - 3e^(t)) = 5Ae^(2t) - 3Ae^(t)

For x(t) to be a solution to x'(t) = Ax(t), we must have:

10e^(2t) - 3e^(t) = 5Ae^(2t) - 3Ae^(t)

Simplifying this equation, we get:

(5A - 10)e^(2t) + 3Ae^(t) - 3e^(t) = 0

This equation must hold for all t, so the coefficients of e^(2t), e^(t), and the constant term must all be zero.

Thus, we get the following system of equations:

5A - 10 = 0

3A - 3 = 0

Solving this system, we find A = 2.

Therefore, the matrix A that allows x(t) = 5e^(2t) - 3e^(t) to be a solution to the system x'(t) = Ax(t) is:

A = [2 0; 0 2]

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Rectangle A’B’C’D’ is the image of rectangle ABCD then 90 degrees rotation about the origin is true

To determine which rotation was done to transform point BBCD to A'B'C'D'

90 degrees rotation about the origin

This transformation would map point ABCD to A'B'C'D" which is the same as A'.

However, this transformation is clockwise, whereas the actual transformation was counterclockwise.

Hence, 90 degrees rotation about the origin, followed by a reflection about the y-axis is correct

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a) The team can be chosen in 126 ways if all four members have the same role on the team.

b) The team can be chosen in 1260 ways if all four members have different roles on the team.

a) When all four members have the same role, we simply need to select 4 employees out of 9 eligible ones. This can be done in 9C4 ways, which is equal to 126.

b) When all four members have different roles, we need to select one employee for each of the four roles. The first employee can be chosen in 9 ways, the second in 8 ways (as one employee has already been chosen), the third in 7 ways, and the fourth in 6 ways.

Therefore, the total number of ways to select the team is 9 x 8 x 7 x 6, which is equal to 1260.

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To find the cumulative probability distribution function (CDF) F(y), we need to integrate the given PDF f(y) from 0 to y:

F(y) = integral of f(y) dy from 0 to y

= integral of c*y*(1-y)^2 dy from 0 to y   (substituting c=30 from part a)

= 30*integral of y*(1-y)^2 dy from 0 to y

To integrate this, we can use integration by substitution. Let u = 1 - y, then du/dy = -1 and y = 1 - u. Substituting, we get:

F(y) = 30*integral of (1-u)*u^2 * (-du) from 0 to 1-y

= 30*integral of u^2 - u^3 du from 0 to 1-y

= 30*[u^3/3 - u^4/4] evaluated at 0 and 1-y

= 10*(1 - (1-y)^3 - 3(1-y)^4/4),   0 <= y <= 1

Therefore, the cumulative probability distribution function (CDF) of Y is:

F(y) = {

        0,                             y < 0

        10*(1 - (1-y)^3 - 3(1-y)^4/4), 0 <= y <= 1

        1,                             y > 1

      }

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