Consider the following integral equation, so called because the unknown dependent variable, y, appears within an integral:
Integral from \int_^t sin(4(t - w)) y(w) dw = 3t^2.
This equation is defined for t > = 0.
a. Use convolution and Laplace transforms to find the Laplace transform of the solution.
Y(s) = L {y(t)} =
b. Obtain the solution y(t).
y(t)=

This hypothesis test is two-tailed because no direction is specified in the claim made by the social worker.

A two-tailed test means that the alternative hypothesis is that the population parameter is different from the specified value (in this case, 15 children dropping out of high school each day). So, the null hypothesis would be that the population parameter is equal to 15, while the alternative hypothesis would be that it is either greater than or less than 15. Therefore, we need to conduct a two-tailed test to determine whether the social worker's claim is statistically significant. The correct answer to your question is: This is a two-tailed test because no direction is specified.

In this scenario, the social worker at the community development organization wants to test the claim that the average number of children who drop out of high school each day in a particular city is different than 15 children. The hypothesis test is two-tailed because there is no specified direction for the population parameter (whether it's greater than or less than 15 children). Instead, the test simply seeks to determine if the average number of dropouts is different from 15, which could be in either direction.

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For designed a rectangular custom rug by Stacey for a client, the scale factor that he could use to dilate the current dimensions and meet the customer's requests is equals to [tex]= \frac{ 3}{2}[/tex]. So, option(e) is right one.

Dilation is one of geometric transformations, which includes translation, reflection, and rotation. It is the scaling of an object, where it gets bigger or smaller. Stacey is designer and design a custom rug for a client. The current design is a rectangle shape, Length of rectangle, l = 5 feet

Width of rectangle, w = 8 feet

The client wishes the rug to be larger but doesn't want the width to exceed 12 feet. A scale factor is the ratio between the scale of a original object and a new object.

That is Scale factor = Dimension of the new shape ÷ Dimension of the original shape. Now, according to client, area of rectangular rug = length × width = 12 × 5

= 60 ft²

Area of rectangular rub designed by Stacey = 5 × 8 = 40 feet. So, using the scale factor formula, the scale factor used by Stacey is [tex]\frac{ 60}{40}[/tex]

[tex]= \frac{ 3}{2}[/tex].

Hence, required value is [tex]= \frac{ 3}{2}[/tex].

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The correct answers are SF: 1.2 and SF: 3/2.

To meet the client's request of increasing the size of the rug but keeping the width under 12 feet, Stacey can dilate the current dimensions using a scale factor that increases the length while keeping the width the same or increasing it slightly. The correct scale factors that she can use are SF: 1.2 and SF: 3/2. If Stacey uses SF: 1.2, the new length would be 1.2 times the original length of 5 feet, which is 6 feet. The new width would still be 8 feet, which is within the client's requirement of not exceeding 12 feet.

Similarly, if Stacey uses SF: 3/2, the new length would be 3/2 times the original length of 5 feet, which is 7.5 feet. Again, the new width would still be 8 feet, which is within the client's requirement. Scale factor SF: 2 would make the rug too wide, SF: 0.8 and SF: 5/6 would make it smaller in both dimensions, which does not meet the client's request.

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Step-by-step explanation:

Pythagorean theorem for right triangles

c^2 = a^2 + b^2       c = hypot    a and b are legs

40^2 = 25^2  + b^2

b^2 = 40^2 - 25^2

b^2 = 975

b = sqrt (975)  = 5 sqrt (39) = 31.22 ft

The characteristic equation is -λ(λ-4)(λ+3) = 0, and the corresponding eigenvalues and eigenvectors are:

λ1 = 0, v1 = [1, 3]

λ2 = 4, v2 = [5, -4, 3]

λ3 = -3, v3 = [1, 1, 0]

What is an identity matrix?

An identity matrix is a square matrix with ones (1) along the main diagonal (from the upper left to the lower right) and zeros (0) everywhere else. It is denoted by I, and its size is indicated by a subscript. For example, I2 represents a 2x2 identity matrix:

To find the characteristic equation and eigenvalues of the given matrix, we need to compute the determinant of the matrix A - λI, where λ is the eigenvalue and I is the identity matrix.

A = 0 -3 5

-4 4 -10

0 0 4

A - λI = -λ -3 5

-4 4-λ -10

0 0 4-λ

The determinant of A - λI is given by:

det(A - λI) = (-λ) [(4-λ)(-3) - (-10)(-4)] - (-4)[(-4)(-3) - (-10)(-λ)] + (0)[(-4)(5) - (4-λ)(-3)]

= -λ(λ-4)(λ+3)

Therefore, the characteristic equation is:

-λ(λ-4)(λ+3) = 0

The eigenvalues are the roots of this equation, which are:

λ = 0, 4, -3

To find the eigenvectors corresponding to each eigenvalue, we solve the system of linear equations (A - λI)x = 0.

For λ = 0, we have:

(A - λI)x = -3 5

-4 4

0 0

which leads to the equation -3x + 5y = 0 and -4x + 4y = 0. Solving this system of equations, we get:

x = y/3

So, the eigenvector corresponding to λ = 0 is:

v1 = [1, 3]

For λ = 4, we have:

(A - λI)x = -4 -3 5

-4 0 -10

0 0 0

which leads to the equation -4x - 3y + 5z = 0 and -4x - 10z = 0. Solving this system of equations, we get:

x = (5/3)z

y = (-4/3)z

So, the eigenvector corresponding to λ = 4 is:

v2 = [5, -4, 3]

For λ = -3, we have:

(A - λI)x = 3 -3 5

-4 7 -10

0 0 7

which leads to the equation 3x - 3y + 5z = 0, -4x + 7y - 10z = 0 and 7z = 0. Solving this system of equations, we get:

x = y

z = 0

So, the eigenvector corresponding to λ = -3 is:

v3 = [1, 1, 0]

Therefore, the characteristic equation is -λ(λ-4)(λ+3) = 0, and the corresponding eigenvalues and eigenvectors are:

λ1 = 0, v1 = [1, 3]

λ2 = 4, v2 = [5, -4, 3]

λ3 = -3, v3 = [1, 1, 0]

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The perimeter of the red rectangular tile is approximately 28.66 inches.

Since the blue and red rectangular tiles are similar, their corresponding sides are proportional. Let's find the scale factor between them.

The blue tile has a perimeter of 30 inches and a length of 10 inches. We know that the perimeter of a rectangle is the sum of all its sides, so we can write:

30 = 2L + 2W

where L is the length and W is the width. Since we have a rectangular tile, we know that L = 10 and we can solve for W:

30 = 2(10) + 2W
30 = 20 + 2W
10 = 2W
W = 5

So the blue tile has a width of 5 inches. Now we can find the scale factor between the blue and red tiles:

scale factor = length of blue tile / length of red tile
scale factor = 10 / 6
scale factor = 5/3

This means that the corresponding sides of the red tile are 5/3 times smaller than the corresponding sides of the blue tile. So if the blue tile has a width of 5 inches, the red tile has a width of:

width of red tile = (5/3) * (width of blue tile)
width of red tile = (5/3) * 5
width of red tile = 8.33 inches (rounded to two decimal places)

Now we can find the perimeter of the red tile:

perimeter of red tile = 2L + 2W
perimeter of red tile = 2(6) + 2(8.33)
perimeter of red tile = 12 + 16.66
perimeter of red tile = 28.66 inches (rounded to two decimal places)

So the perimeter of the red rectangular tile is approximately 28.66 inches.

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Answer: A. 15 Units

Step-by-step explanation:

Using distance formula, you find the number 15.

Answer:

A. 15

Step-by-step explanation:

i used the distance formula.

Distance (d) = √(9 - 0)^2 + (-6 - 6)^2

=√(9)^2 + (-12)^2

=√225

=15

The best classification of the data in the list is quantitative and discrete.

Quantitative data refers to information that can be measured and expressed numerically. This type of data can be further classified as either continuous or discrete. Continuous data can take on any value within a certain range, while discrete data can only take on specific values.

Discrete data is a type of quantitative data that can only take on certain values. These values are typically integers or whole numbers, and there are no values in between. For example, the number of children in a family is discrete data, as it can only take on whole number values (1, 2, 3, etc.).

In summary, discrete data is a type of quantitative data that is characterized by its ability to only take on specific values, with no values in between.

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Answer:

EF ≈ 35.4 yards

Step-by-step explanation:

to find EF use the sine ratio in the right triangle, that is

sin40° = [tex]\frac{opposite}{hypotenuse}[/tex] = [tex]\frac{EF}{DF}[/tex] = [tex]\frac{EF}{55}[/tex] ( multiply both sides by 55 )

55 × sin40° = EF , then

EF ≈ 35.4 yards ( to the nearest tenth )

The required actual length and width of the pool is 70 feet and 35 feet respectively, and the cost of the pool is $735.

Part A:

Using the scale of 2 inches equals 7 feet, we can set up the following proportions to find the actual dimensions of the pool:

2x = 70

x = 35

For the second part, we can use the same scale to find the actual

2x = 140

x = 70

Part B:

To find the area of the pool, we can multiply the length and width:

Area = 35 feet x 70 feet = 2,450 square feet

Cost = 2,450 square feet x $0.30 per square foot = $735

Therefore, it would cost $735 to buy a cover for the pool that costs $0.30 per square foot.

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The correct statement is: reducing the number of attributes in data is a data transformation subtask.

Explanation:
- Selecting the relevant data by deciding which data sources to collect is a data preparation task, not specifically a data reduction subtask.
- Converting numeric variables into discrete representations is a form of data discretization, which is a data reduction subtask.
- Normalizing observed values between 0 and 1 is a form of data scaling, which is a data transformation subtask.
- Reducing the number of attributes in data is a form of dimensionality reduction, which is also a data transformation subtask.

1. For numerical variables, normalizing the observed values between 0 and 1 is a data transformation subtask.
2. Reducing the number of attributes in data is a data transformation subtask.
In these statements, data transformation subtasks are mentioned, which involve normalizing numeric variables between 0 and 1 and reducing the number of attributes in the data. The other two statements do not fit the context of data reduction, numeric variables, or data transformation.

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The two solutions of the quadratic equation are:

Here we want to solve the equation:

5g^2 + 31g + 6 = 0

Using the quadratic formula we will get:

[tex]g = \frac{-31 \pm \sqrt{31^2 - 4*5*6} }{2*5} \\\\g = \frac{-31 \pm29 }{10}[/tex]

Then the two solutions for the quadratic equation are:

g+ = (-31 + 29)/10 = -2/10 = -1/5

g- = (-31 - 29)/10 = -60/10 = -6

These are the two solutions.

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A. The p-value is less than 0.05, we reject the null hypothesis that the scores are evenly distributed. We conclude that the scores are not evenly distributed.

B. The p-value to be less than 0.05. We can conclude that there is strong evidence to suggest that the mean scores of left-handed and right-handed students are different.

a) To test whether the scores are evenly distributed, employ the Chi-squared goodness-of-fit test. Our null hypothesis is that the scores are evenly distributed, and the alternative hypothesis is that they are not evenly distributed.

Calculate the expected frequencies for each category assuming even distribution. The total frequency is 150, so, expect 30 scores in each category if the scores are evenly distributed. The expected frequencies for each category are:

0≤x≤20: 30

20<x≤40: 30

40<x≤60: 30

60<x≤80: 30

80<x≤100: 30

Then, calculate the test statistic:

χ^2 = ∑(O-E)²/E

where O is the observed frequency and E is the expected frequency.

The degrees of freedom for this test is (number of categories - 1) = 4.

Using a chi-squared distribution table with 4 degrees of freedom and a significance level of 0.05, the critical value is 9.488.

The observed values and expected values for each category are:

Score Range | Observed Frequency (O) | Expected Frequency (E) | (O-E)²/E

0≤x≤20 | 21 | 30 | 2.1

20<x≤40 | 15 | 30 | 7.5

40<x≤60 | 32 | 30 | 0.2

60<x≤80 | 39 | 30 | 3.3

80<x≤100 | 43 | 30 | 4.3

The test statistic is:

χ² = 2.1 + 7.5 + 0.2 + 3.3 + 4.3 = 17.4

The p-value for this test is the probability of getting a chi-squared value of 17.4 or higher with 4 degrees of freedom. Using a chi-squared distribution table, we find the p-value to be less than 0.01.

Since the p-value is less than 0.05, we reject the null hypothesis that the scores are evenly distributed. We conclude that the scores are not evenly distributed.

b) To test whether there is a difference between the mean scores of left-handed and right-handed students, we will use a two-sample t-test with equal variances. Our null hypothesis is that there is no difference in mean scores between left-handed and right-handed students, and the alternative hypothesis is that there is a difference.

The test statistic for the two-sample t-test is:

t = (x-bar₁ - x-bar₂) / (sₚ * √(¹/n₁ + ¹/n₂))

where x-bar₁ and x-bar₂ are the sample means, sₚ is the pooled standard deviation, n₁ and n₂ are the sample sizes, and sqrt is the square root function.

The pooled standard deviation is calculated as:

sₚ = √(((n₁ - 1) * s₁² + (n₂ - 1) * s₂²) / (n₁ + n₂ - 2))

where s₁ and s₂ are the sample standard deviations.

Plugging in the values from the question, we get:

t = (70 - 60) / (√(198/30 + 198/30)) = 2.16

Find the p-value for this test to determine whether it is statistically significant. Utilizing a t-distribution table with 58 degrees of freedom (total sample size minus 2), and a significance level of 0.05, the critical value will be 2.001.

Since the calculated t-value of 2.16 is greater than the critical value of 2.001, we can reject the null hypothesis that there is no difference in mean scores between left-handed and right-handed students. We conclude that there is a statistically significant difference between the mean scores of left-handed and right-handed students.

The p-value for this test is the probability of getting a t-value of 2.16 or higher with 58 degrees of freedom. Using a t-distribution table or calculator, the p-value is less than 0.05.

Therefore, we can conclude that there is strong evidence to suggest that the mean scores of left-handed and right-handed students are different.

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Answer: 20 boys

Step-by-step explanation:

35 - 15 = 20

The boat is either about 2.334 miles or 2.666 miles from lighthouse B, depending on whether it sailed to the left or to the right of the line AB.

Let's draw a diagram to help visualize the problem. Let A and B be the positions of the lighthouses, and let C be the position of the boat after sailing 5 miles from A. Let x be the distance from C to B that we want to find, and let θ be the angle ACB.

Since the bearing of the boat from B is N65°E, we know that the angle ACB is (180° - 65°) = 115°. Also, since ACB is a straight line, we have

cos(115°) = x/8

Solving for x, we get

x = 8 cos(115°) ≈ 2.334 miles

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The rate at which the angle between the ladder and the wall of the house is changing when the base of the ladder is 20 feet from the wall is -3/64[tex]sec^{-2}( \theta)[/tex]

To solve this problem, we can use the formula for the area of a triangle:

A = 1/2 × base × height

where the base is the distance between the wall and the ladder, and the height is the distance from the base of the ladder to the ground.

Let x be the distance from the base of the ladder to the wall, and let y be the height of the ladder. Then, by the Pythagorean theorem, we have x² + y² = L²

where L is the length of the ladder. We can differentiate both sides of this equation with respect to time to get:

2x(dx/dt) + 2y(dy/dt) = 2L(dL/dt)

We want to find dA/dt, the rate at which the area of the triangle is changing. To do this, we differentiate the formula for the area with respect to time, using the chain rule:

dA/dt = (1/2) × (base) × (dy/dt) + (1/2) × (height) × (dx/dt)

We can substitute x² + y² = L² into the equation for the height to get height = √(L² - x²)

Substituting the given values, we get x = 20 and L = 25. We also know that dy/dt = 0, since the ladder is not changing height. Plugging in these values, we get:

2(20)(dx/dt) + 2y(0) = 2(25)(dL/dt)

40(dx/dt) = 50(dL/dt)

(dx/dt) = 5/4 (since dL/dt = 3 ft/s, which was given in the original problem)

Now, we can use this value to find dA/dt:

dA/dt = (1/2) × (20) × (0) + (1/2) × √ (25² - 20²) × (5/4)

dA/dt = 25/2 = 12.5 ft²/s

Therefore, the rate at which the area of the triangle is changing when the base of the ladder is 20 feet from the wall is 12.5 ft²/s.

To find the rate at which the angle between the ladder and the wall of the house is changing, we can use the formula for the tangent of an angle:

tan(theta) = y/x

Differentiating both sides with respect to time, we get:

sec²(θ) d(θ)/dt = (1/x) dy/dt - (y/x²) dx/dt

Plugging in the given values and using the fact that dy/dt = 0, we get:

sec²(θ) d(θ)/dt = 0 - (y/400) (5/4)

d(θ)/dt = -5y/(1600 sec²(θ))

To find y, we can use the Pythagorean theorem:

y = √(L² - x²) = √(25² - 20²) = 15

Plugging in this value, we get:

d(theta)/dt = -5(15)/(1600 sec²(θ))

d(theta)/dt = -3/64 sec²(θ)

Therefore, the rate at which the angle between the ladder and the wall of the house is changing when the base of the ladder is 20 feet from the wall is -3/64[tex]sec^{-2}( \theta)[/tex]

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The histogram that represents a set of data that is left-skewed is the one where the majority of the data is on the right side of the histogram, and the tail of the histogram extends to the left.

A left-skewed histogram is also called a negatively skewed histogram. In a left-skewed distribution, the majority of the data values are on the right side of the histogram, and the tail of the histogram extends to the left. This means that the data is clustered around higher values and gradually decreases as the values become smaller.

For example, imagine a dataset that represents the ages of a group of people. If most of the people in the group are young adults, but there are a few older individuals, the histogram would be left-skewed because the tail of the histogram (representing the older individuals) would extend to the left.

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The given rectangular prism has a front face diagonal of 13 inches and a top face diagonal of 15 inches. We also know that the height of the front face is 5 inches. To find the dimensions of the prism, we can use the Pythagorean theorem. Let's call the length, width, and height of the prism L, W, and H, respectively.

From the front face diagonal, we get:

L^2 + H^2 = 13^2

From the top face diagonal, we get:

W^2 + H^2 = 15^2

We also know that the height of the front face is 5 inches, so H = 5.

Solving these equations, we get L = 12 and W = 9.

Therefore, the volume of the rectangular prism is 12 x 9 x 5 = 540 cubic inches.

To solve the problem, we need to use the Pythagorean theorem to find the dimensions of the rectangular prism. The Pythagorean theorem states that in a right triangle, the square of the hypotenuse (the longest side) is equal to the sum of the squares of the other two sides.

In this problem, we have two right triangles - one with legs L and H (from the front face diagonal) and one with legs W and H (from the top face diagonal). We can use the Pythagorean theorem to solve for L and W, and then find the volume of the prism using the formula V = L x W x H.

In conclusion, the volume of the rectangular prism with a front face diagonal of 13 inches, a top face diagonal of 15 inches, and a front face height of 5 inches is 540 cubic inches. To solve the problem, we used the Pythagorean theorem to find the dimensions of the prism. It is important to note that each dimension of the prism is an integer length, as stated in the problem.

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Answer:

130 square metres

Step-by-step explanation:

The shaded area is a trapezium.

Therefore, the rule for its area is base1+base2/2xh

base1=6

base2=14

height = 13

Therefore, 6+14/2 x 13

= 130

Hope that helped!!! k

The positive difference of outputs for any two inputs that are three values apart is 1.5.

To find the positive difference of outputs for any two inputs that are three values apart, we can choose two such inputs, calculate their respective outputs, and find the absolute value of their difference. Let's choose -3 and 0 as our inputs, which are three values apart, and find their respective outputs:

f(-3) = -1.5

f(0) = 0

The positive difference between these outputs is:

|f(-3) - f(0)| = |-1.5 - 0| = 1.5

This means that for any two inputs that are three units apart, the output of the function increases or decreases by 1.5 units.

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Complete question is:

This table shows input and output values for a linear function f(x) .

What is the positive difference of outputs for any two inputs that are three values apart?

x f(x)

-3 -1.5

-2 -1

-1 -0.5

0 0

1 0.5

2 1

3 1.5

The total cost for both the truck driver and the engineer this week is $4,320.

To solve this problem, we first need to determine how many hours the truck driver worked this week. We can do this by dividing the weekly earnings of the truck driver by their hourly rate of $40:

1440 / 40 = 36 hours

Therefore, the truck driver worked for 36 hours this week.

Now, we need to determine the total earnings of the engineer for the same number of hours. We know that the engineer earns $80 per hour, so for 36 hours of work, they will earn:

80 x 36 = $2,880

Therefore, the total cost for both the truck driver and the engineer this week will be the sum of their earnings:

1440 (truck driver) + 2880 (engineer) = $4,320

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Complete Question:

A truck driver earns $40 per hour, and an engineer earns $80 per hour. If the truck driver made 1,440 this week, then the total cost does he made is?

The y-intercept of the straight line crosses the x-axis at (3,0) and the y-axis at (0,2) is 2.

The point of the line is the x-axis at (3,0) and the y-axis at (0,2)

Using two-point line equation

[tex](y_{2} - y) = m(x_{2} - x)[/tex]

m = slope = change in y / change in x

m = 2-0/0-3

m = -2/3

(2 - y) = -2/3 (0-x)

3(2-y) = -2(-x)

6 - 3y = 2x

-3y = 2x - 6

y = -2/3 x + 2

On comparing equation with y = mx + c

c in y intercept we get c = 2

Hence y - intercept = 2

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The variance is approximately 177.5 and the standard deviation is approximately 13.32.

The standard deviation (SD, also written as the Greek symbol sigma or the Latin letter s) is a statistic that is used to express how much a group of data values vary from one another.

To find the variance and standard deviation of the data set {91, 101, 75, 90, 88, 87, 90, 60}, we first need to find the mean:

mean = (91 + 101 + 75 + 90 + 88 + 87 + 90 + 60) / 8 = 85.5

Next, we need to calculate the deviation of each data point from the mean:

91 - 85.5 = 5.5

101 - 85.5 = 15.5

75 - 85.5 = -10.5

90 - 85.5 = 4.5

88 - 85.5 = 2.5

87 - 85.5 = 1.5

90 - 85.5 = 4.5

60 - 85.5 = -25.5

Then, we square each deviation:

5.5² = 30.25

15.5² = 240.25

(-10.5)² = 110.25

4.5² = 20.25

2.5² = 6.25

1.5² = 2.25

4.5² = 20.25

(-25.5)² = 650.25

The variance is the average of these squared deviations:

variance = (30.25 + 240.25 + 110.25 + 20.25 + 6.25 + 2.25 + 20.25 + 650.25) / 8 = 177.5

Finally, the standard deviation is the square root of the variance:

standard deviation = sqrt(variance) = √(177.5) = 13.32 (rounded to the nearest hundredth)

Therefore, the variance is approximately 177.5 and the standard deviation is approximately 13.32.

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Step-by-step explanation:

a)

with step 1 to 3 we see that the numbers of squares serving the length of the sidelines is following the step number 1:1.

so, step 1 has a side length of 1 square.

step 2 has a side length of 2 squares.

step 3 has a side length of 3 squares.

so, we expect step 4 to have a side length of 4 squares.

but the first statement says "5-by-5", so, the side length is 5.

therefore, this statement is false.

and yes, we expect step 15 to have a side length of 15.

and the shift of the single square from the bottom left to the top right is also correct.

therefore, the statement is true.

b)

step 4 = 4×4 = 16 squares

step 15 = 15×15 = 225 squares

c)

no.

just look at step 1.

y = 1² - 1 = 1 - 1 = 0.

but I can clearly see that there is 1 square.

d)

it makes an n×n array. which is the same as n².

0. 81818181818 as a fraction in its simplest form is 9/11

Converting the decimal to fraction we have

x = 81818181818/100000000000

Using a calculator we san reduce the fraction to 9/11

Therefore, 0.81818181818... as a fraction in its simplest form is 9/11.

This is a recurrence fraction and a recurring fraction, also called a recurring decimal, is a decimal number with repeating digits after the decimal point. The repeatability of the lines is indicated by a horizontal line or a line above the repetition line.

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Taking a difference, we can see that the trip to city C is 482.6 mi longer.

Here we know that the distance from city a to city b is 256.8 miles, and the distance from city a to city c is 739.4 miles

To find how much farther is the trip to city c than the trip to city b, we just need to take the difference between the two distances above.

That means that we need to take the distance to city c and subtract the distance to city b.

We will get:

739.4 mi -  256.8 mi = 482.6 mi

The trip to city C is 482.6 mi more than the trip to city B.

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The house is furnished is an indicator (dummy) variable. So, the correct option is (D)

Indicator (dummy) variables are used to represent categorical data as binary data in regression analysis. In this case, the house being furnished is a categorical variable that can be represented as a binary variable (1 or 0). The other variables are continuous or ordinal variables and do not need to be represented as indicator variables.

If the p-value is less than the chosen significance level (alpha), typically 0.05, then the independent variable is considered statistically significant in the model. Therefore, in this case, we need to examine the p-values associated with the coefficients for Age, Living Area, and Bedrooms in the regression output to determine which group of independent variables is significant.

If the p-value for any independent variable is less than 0.05, then that variable is considered significant in the model

Without the regression output, it is not possible to determine which group of independent variables is significant in the model. Please provide the Excel output for further analysis

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Answer:

nth term = 3n² + 7

Step-by-step explanation:

Answer:

it have the property of parallelogram ,

The eigenvalues of A are √λ1 and √λ2, each with algebraic multiplicity 1.

What is eigenvalue?

In linear algebra, an eigenvalue is a scalar (a constant) that represents how a linear transformation changes a vector.

Let A be a real matrix with two distinct eigenvalues λ1 and λ2.

Then the characteristic polynomial of A is given by:

p(λ) = det(A - λI)

where I is the identity matrix of the same size as A.

Since λ1 and λ2 are eigenvalues of A, we have:

A v1 = λ1 v1

A v2 = λ2 v2

where v1 and v2 are the corresponding eigenvectors.

Multiplying both sides of each equation by A, we get:

[tex]A^2 v1[/tex] [tex]= \lambda1 A v1 =[/tex] [tex]\lambda1^2 v1[/tex]

[tex]A^2 v2[/tex] [tex]= \lambda2 A v2 = \lambda2^2 v2[/tex]

Since λ1 and λ2 are distinct, we have [tex]\lambda1^2[/tex] ≠ [tex]\lambda2^2.[/tex]

Now, let [tex]B = A^2[/tex]. Then the characteristic polynomial of B is given by:

[tex]p(\lambda) = det(B - \lambdaI) = det(A^2 - \lambdaI) = (\lambda1^2 - \lambda) (\lambda2^2 - \lambda)[/tex]

Therefore, the eigenvalues of B are [tex]\lambda1^2[/tex] and [tex]\lambda2^2[/tex], each with algebraic multiplicity 1.

Hence, the eigenvalues of A are √λ1 and √λ2, each with algebraic multiplicity 1.

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Answer:Each interior angle of a regular polygon with n sides is given by the formula:

Interior angle = (n - 2) x 180 degrees / n

Exterior angle = 180 degrees - Interior angle

Step-by-step explanation: The angle that is formed between one of the polygon's sides and a line that is drawn from the side next to it is called the polygon's exterior angle. The outside point and the inside point at every vertex of a polygon are beneficial, meaning they amount to 180 degrees.