Find the area and side length of square ACEG.

The vertices of the ellipse are (12, -1) and (4, -1), and the co-vertices are (8, 1) and (8, -3).

To find the vertices and co-vertices of the given ellipse, we can use the equation of an ellipse in standard form:

((x-h)²/a²) + ((y-k)²/b²) = 1

Comparing this with the given equation ((x-8)²/(16)) + ((y+1)²/(4)) = 1, we can identify the values of h, k, a, and b.

From the equation, we can see that the center of the ellipse is at (h, k) = (8, -1). The value of a is the square root of the denominator of the x-term, which is 4, so a = 4. Similarly, the value of b is the square root of the denominator of the y-term, which is 2, so b = 2.

The vertices of the ellipse are located at a distance of a units from the center along the major axis, which is the x-axis. Therefore, the vertices are (8+a, -1) and (8-a, -1), which simplifies to (12, -1) and (4, -1).

The co-vertices of the ellipse are located at a distance of b units from the center along the minor axis, which is the y-axis. Therefore, the co-vertices are (8, -1+b) and (8, -1-b), which simplifies to (8, 1) and (8, -3).

Hence, the correct answer is: The vertices are (12, -1) and (4, -1). The co-vertices are (8, 1) and (8, -3).

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The mean is greater than the median, which in turn is less than the mode, in a unimodal skewed right distribution. Therefore, option c) is the correct answer.

The terms mean, median, and mode are commonly used in statistics to measure the central tendency of a set of

values or a dataset.  The mean is calculated by dividing the sum of all the numbers in a dataset by the total number of

items in the dataset. The mean is the average of the dataset. The median is the middle number in a dataset when the

data is arranged in ascending or descending order. Half of the values are higher than the median, and half are lower.

The mode is the value that appears most frequently in a dataset. If there are two values that occur with the same

frequency, the dataset is referred to as bimodal, and if there are more than two values that occur with the same

frequency, the dataset is referred to as multimodal. In a unimodal skewed right distribution, the mean is greater than

the median, which in turn is less than the mode. Therefore, the correct answer is option c) greater, less than.

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Answer:

6 feet tall.

Step-by-step explanation:

The boy is 4 ft tall, but he casts a 6 ft long shadow. You need to find how long a shadow would be if a person/thing was just 1 ft tall.

To do this, you would need to divide 4 by 4, and 6 by 4 as well.

6/4 is 1.5, or 1 and a half.

If a person (or a thing) is 1 foot tall, the statue will cast 1 and a half feet long shadow.

The statue casts a 9 ft long shadow.

Since we already figured out 1 ft = 1 and 1/2 ft shadow, and since the statue casts a 9 foot long shadow, you need to divide 9 by 1.5.

(You'll get 6.)

This means that the statue is 6 feet tall, and it casts a 9 foot long shadow.

Answer:

400

Step-by-step explanation:

Answer:

11

Step-by-step explanation:

first u 90 minus 67 equals 23

and if u times 11 by 4 equal 44

minus 21 equals 23 which would make the equation true

hope this helped

Answer:

Step-by-step explanation:

The degree of f(x) is 0.

Its leading coefficient is 13 and the type is constant. Because the function is constant,

f(x = 13 when x --> -∞ and

f(x) = 13  when x --> ∞ .

(How? Because I'm smart like that!! :D)

The family members were 3 adults and 2 children.

We have given that the,

A family of 10 purchased tickets to the county fair.

Tickets for adults cost $6 and tickets for children cost $3

Total cost is $42.

We have to determine how many family members were adults and children

(3 x 10) + (2 x 6)

30+12=42

Therefore we get 3 adults and 2 children.

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Answer:

the answer is d=20.5 hope this helped

Answer:

d= 20.5

Step-by-step explanation:

d/4+7/8=6

(we know that to add fractions, we have to have both denomiators the same number. We aslo know that that means 8. Using that information, we know that to top number must be 48. 48/8 = 6. We can substract)

48-7= 41

(we then need to divide by 2 as we would have had to already multiplyed 4 by 2.)

41/2 = 20.5

Answer:

True, false, true, true.

Step-by-step explanation:

The roots zeros of a quadratic function are the same as the factors of the quadratic function. This is true because your roots are your factors—>(x-3) is a factor, x=3 is the root.

The roots zeros are the spots where the quadratic function intersects with the y-axis. No! Those are called y-intercepts!

The roots zeros are the spots where the quadratic function intersects with the x-axis. True. X-intercepts are your solutions. (x-3) graphed would the (3,0). That’s a solution.

There are not always two roots/zeros of a quadratic function,​ True. No solution would be when your quadratic doesn’t intersect the x-axis. One solution would be when your vertex would be on the x-axis. Two solutions is when your quadratic intersects the x-axis twice. Can there be infinite solutions? No. It’s either 0, 1, or 2 solutions.

Answer:

= 15/20 + 1 10/20 + 4 4/20

= 5 29/20

= 6 9/20

Exact Form:

[tex]\frac{3}{4}[/tex]

Decimal Form:

6.45

Mixed Number Form:

6[tex]\frac{9}{12}[/tex]

Answer:

A

Step-by-step explanation:

-y = -2x+5

y = 2x-5

3x+2(2x-5)= -3

The z-score table shows that for a z-score of 15.1, the p-value is approximately zero (p < 0.0001). Hence, the p-value for this sample is p < 0.0001.

Given that the population is normally distributed and the standard deviation is σ = 5.2.

A sample of size n = 64 is obtained with the sample mean of M = 78.5.

Test statistic = (Sample mean - population mean) / (Standard error of the mean) = (78.5 - µ) / (σ /√n)

Where µ = population mean = 0σ = 5.2n = 64.

The formula for the standard error of the mean is; σM = σ/√n = 5.2/√64 = 0.65.

Substituting in the test statistic equation,

Test statistic = (78.5 - 0) / 0.65 = 121.54.

P-value is the probability of obtaining the observed sample mean or a more extreme value from the null hypothesis.

Assuming a significance level of α = 0.05 and the null hypothesis H0: µ = 0 (Population mean), we can obtain the p-value from the z-score table.z-score = (sample mean - population mean) / standard deviation = (78.5 - 0) / 5.2 = 15.1

The z-score table shows that for a z-score of 15.1, the p-value is approximately zero (p < 0.0001).Hence, the p-value for this sample is p < 0.0001.

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Answer:

I think its C

Step-by-step explanation:

Answer:

The domain of a function is the set of the possible input values of the function. For example: consider the function f(x) = cos x, the domain of the function is the set of possible values of x.

The cosine function takes x values from all real numbers.

Therefore, the domain of the cosine function is a real numbers.

Step-by-step explanation:

Answer:

B - Her monthly average would have increased by $19.57. ... Katie works as a waitress and records her monthly tips in the table shown below. If Katie decided not to work the month of November, how would her five month average compare to her six month ... Lisa is currently taking physics as one of her electives in school.

Step-by-step explanation:

Answer:

Nov. ✔ = Feb.

Oct. ✔ < Dec.

Jan. ✔ > Nov.

Step-by-step explanation:

Edge 2022

(a) The mgf of Y is M_Y(t) = exp (3.54t + 0.01632t²).

(b) The distribution of Y, the total weight of the three 1-kilo packs of cheese selected is Y ~ N(3.54, 0.216).

(c) The probability P(Y < W) = 0.2808.

(a) The moment generating function (mgf) of Y, the total weight of the three 1-kilo packs of cheese selected is given by:

M_Y(t) = M_X1(t) × M_X2(t) × M_X3(t)

= exp (µ_X1 t + ½ σ²_X1 t²) × exp (µ_X2 t + ½ σ²_X2 t²) × exp (µ_X3 t + ½ σ²_X3 t²)

= exp [(µ_X1 + µ_X2 + µ_X3) t + ½ (σ²_X1 + σ²_X2 + σ²_X3) t²]

Therefore, the mgf of Y is given by:

M_Y(t) = exp [(1.18 + 1.18 + 1.18) t + ½ (0.072 + 0.072 + 0.072) t²]

M_Y(t) = exp (3.54t + 0.01632t²)

(b) The total weight Y of the three 1-kilo packs of cheese is the sum of three independent and identically distributed random variables.

So, the distribution of Y is given by the following normal distribution: Y ~ N (µ_Y, σ²_Y), where µ_Y = µ_X1 + µ_X2 + µ_X3 and σ²_Y = σ²_X1 + σ²_X2 + σ²_X3.

Thus, µ_Y = 3 × 1.18

µ_Y = 3.54 and,

σ²_Y = 3 × 0.072

σ²_Y = 0.216

⇒ σ_Y = √0.216

⇒ σ_Y = 0.4649

Therefore, Y ~ N(3.54, 0.216).

(c) We need to find P(Y < W), where W is the weight of the 3-kilo pack of cheese.

Now, Y and W are independent normal random variables.

Therefore, Y - W is also a normal random variable with the following distribution: Y - W ~ N(µ_Y - µ_W, σ²_Y + σ²_W), where µ_W = 3.22 and σ²_W = 0.09².

We know that µ_Y - µ_W = 3.54 - 3.22

µ_Y - µ_W = 0.32 and,

σ²_Y + σ²_W = 0.216 + 0.09² = 0.301.

Therefore, σ_Y - W = √0.301

σ²_Y + σ²_W = 0.5486.

Now, we need to find P(Y - W < 0), which is equivalent to finding P(Z < -0.5799), where Z = (Y - W - (µ_Y - µ_W))/σ_Y - W.

Substituting the values, we get:

Z = (Y - W - 0.32)/0.5486

⇒ Y - W = -0.5799

Z = (Y - W - 0.32)/0.5486

⇒ Y - W < 0 is equivalent to Z < -0.5799.

Using a standard normal table or calculator, we get: P(Z < -0.5799) = 0.2808.

Hence P(Y < W) = P(Y - W < 0)

P(Y < W) = 0.2808.

Therefore, P(Y < W) = 0.2808, correct to four decimal places.

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(a) To prove that B\A = (AB)* using only the above equations and equivalences, we need to show that B\A is equivalent to (AB)*.

First, we will show that B\A is a subset of (AB)*.

Let x be an element of B\A. Then, x is in B and x is not in A. Therefore, x is in AB and not in A. This means that x is in (AB)*. Thus, we have shown that B\A is a subset of (AB)*.

Next, we will show that (AB)* is a subset of B\A.

Let x be an element of (AB)*. Then, x is in AB or x is not in AB.

If x is in AB, then x is in B and x is in A. Therefore, x is not in B\A.

If x is not in AB, then x is not in A or x is not in B. Therefore, x is not in A and x is in B. This means that x is in B\A.

Thus, we have shown that (AB)* is a subset of B\A.

Since we have shown that B\A is a subset of (AB)* and (AB)* is a subset of B\A, we can conclude that B\A = (AB)*.

(b) To prove that B* A* = (AB)*, we need to show that B* A* is a subset of (AB)* and (AB)* is a subset of B* A*.

First, we will show that B* A* is a subset of (AB)*.

Let x be an element of B* A*. Then, x is in (B*) and x is in (A*).

If x is in B*, then x is in B or x is not in B.

If x is in A*, then x is in A or x is not in A.

If x is in B and x is in A, then x is in AB.

If x is not in B and x is not in A, then x is not in AB.

If x is in B and x is not in A, then x is in B\A.

If x is not in B and x is in A, then x is in A\B.

Therefore, we have shown that x is in (AB)*.

Next

The radius of a circle is half of its diameter so the radius of a circle with a diameter of 240 mm is 120.00 mm. Option D is the correct answer.

To find the radius of a circle with a given diameter, you can follow these steps:

Given that the diameter is 240 mm, divide it by 2 to obtain the radius. Recall that the radius is half the length of the diameter.

Radius = Diameter / 2

In this case, Radius = 240 mm / 2 = 120 mm.

Therefore, the radius of the circle with a diameter of 240 mm is 120.00 mm.

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The data set is the most clustered around its mean is

A.4, 10, 8, 6

To determine which data set is the most clustered around its mean, we can calculate the mean and the standard deviation for each data set.

calculate the mean and standard deviation for each data set

Data Set A: 4, 10, 8, 6

Mean: (4 + 10 + 8 + 6) / 4 = 28 / 4 = 7

Standard Deviation: √[(4-7)^2 + (10-7)^2 + (8-7)^2 + (6-7)^2] / 4 ≈ 1.58

Data Set B: 11, 3, 10, 4

Mean: (11 + 3 + 10 + 4) / 4 = 28 / 4 = 7

Standard Deviation: √[(11-7)^2 + (3-7)^2 + (10-7)^2 + (4-7)^2] / 4 ≈ 3.87

Data Set C: 2, 9, 13, 4

Mean: (2 + 9 + 13 + 4) / 4 = 28 / 4 = 7

Standard Deviation: √[(2-7)^2 + (9-7)^2 + (13-7)^2 + (4-7)^2] / 4 ≈ 4.27

Data Set D: 11, 2, 9, 6

Mean: (11 + 2 + 9 + 6) / 4 = 28 / 4 = 7

Standard Deviation: √[(11-7)^2 + (2-7)^2 + (9-7)^2 + (6-7)^2] / 4 ≈ 3.27

Comparing the standard deviations, we find that data set A has the smallest standard deviation of approximately 1.58. this indicates that the data points in Data Set A are the closest to the mean, making it the most clustered around its mean.

Therefore, the answer is A. 4, 10, 8, 6.

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Answer:

what are we rounding? like what is your question?

Step-by-step explanation:

**if you answer you have my promise and i'll go back and provide an actual answer**

Given:

The function is:

[tex]f(x)=x^2-16[/tex]

To find:

The inverse of the function.

Solution:

We have,

[tex]f(x)=x^2-16[/tex]

Step 1: Substitute [tex]f(x)=y[/tex].

[tex]y=x^2-16[/tex]

Step 2: Interchange x and y.

[tex]x=y^2-16[/tex]

Step 3: Isolate y.

[tex]x+16=y^2[/tex]

[tex]\pm \sqrt{x+16}=y[/tex]

[tex]y=\pm \sqrt{x+16}[/tex]

Step 4: Substitute [tex]y=f^{-1}(x)[/tex].

[tex]f^{-1}(x)=\pm \sqrt{x+16}[/tex]

Therefore, the inverse function of the given function is [tex]f^{-1}(x)=\pm \sqrt{x+16}[/tex].

The eigenvalues of the matrix -2 0 1 1 0 -1 0 1 -1 are λ₁ = -1, λ₂ = 1, and λ₃ = -1. The corresponding eigenspaces are E₁ = span{[-1, 1, 0]}, E₂ = span{[1, 1, 1]}, and E₃ = span{[-1, 1, 2]}.

Eigenvalues and eigenvectors play a fundamental role in linear algebra, particularly in the study of matrices.

The eigenvalues of a matrix are the values λ for which the equation A = λ has nontrivial solutions, where A is the given matrix and is a non-zero vector. The eigenspace associated with an eigenvalue is the set of all eigenvectors corresponding to that eigenvalue.

To find the eigenvalues of the matrix -2 0 1 1 0 -1 0 1 -1, we need to solve the characteristic equation det(A - λI) = 0, where A is the given matrix, λ is an eigenvalue, and I is the identity matrix.

The characteristic equation in this case is (-2 - λ)(λ² + 1) + (1 - λ)(-1) = 0. Simplifying this equation yields λ³ - 2λ² - 2 = 0. This is a cubic equation, and we can use a calculator or Wolfram Alpha to find its roots, which are λ₁ = -1, λ₂ = 1, and λ₃ = -1.

Once we have the eigenvalues, we can find the corresponding eigenvectors by solving the equation (A - λ) = 0 for each eigenvalue.

For λ₁ = -1, solving (A + ) = 0 gives us the eigenvector [-1, 1, 0]. For λ₂ = 1, solving (A - ) = 0 gives us the eigenvector [1, 1, 1].

Finally, for λ₃ = -1, solving (A + ) = 0 gives us the eigenvector [-1, 1, 2]. These eigenvectors span the eigenspaces E₁, E₂, and E₃, respectively.

In summary, the eigenvalues of the matrix -2 0 1 1 0 -1 0 1 -1 are λ₁ = -1, λ₂ = 1, and λ₃ = -1. The corresponding eigenspaces are E₁ = span{[-1, 1, 0]}, E₂ = span{[1, 1, 1]}, and E₃ = span{[-1, 1, 2]}.

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Answer:

The formula would be

((a+b) / 2)h = area

In this case a is one side of the base (top parralel or bottom line)

And b is the second one (top or bottom)

You can only choose one for each

You add those two up and divide that by 2

Now you multiply it by “h” or height.

Now you have the area

Answer:

yay

Step-by-step explanation:

yayyayyayyayyayyyayyayayayyayaya

Answer:

D. 5x2 + 28x + 21

Step-by-step explanation:

First you want to find the area of the white rectangle

Then find the area of the beings rectangle

Then subtract beings minus white.

                                     Sorry it’s +21. The first answer in your list

                                      then thats correct

...............................................................................................................................................

5x^2+28x+21 confirmed from Cortez himself

The average cost AC when x = 90 is $1, and the derivative C'(x) when x = 90 is $0.41.

The average cost function AC and the derivative of the total cost function C'(x) can be found using the given total cost function C(x) = 0.01x + 0.4x + 50, where x represents the number of units produced and sold.

To find the average cost AC, we divide the total cost C(x) by the quantity x:

AC = C(x) / x

Substituting the given total cost function C(x) = 0.01x + 0.4x + 50, we have:

AC = (0.01x + 0.4x + 50) / x

Simplifying, we get:

AC = (0.41x + 50) / x

When x = 90, we substitute this value into the equation:

AC = (0.41 * 90 + 50) / 90

AC = (36.9 + 50) / 90

AC = 86.9 / 90

AC ≈ $0.97 ≈ $1 (rounded to two decimal places)

To find the derivative C'(x), we differentiate the total cost function C(x) with respect to x:

C'(x) = d/dx (0.01x + 0.4x + 50)

C'(x) = 0.01 + 0.4

C'(x) = 0.41

When x = 90, we substitute this value into the equation:

C'(90) = 0.41

Therefore, the derivative C'(x) when x = 90 is $0.41.

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The amount of sales tax is $87.79.

Given a total purchase price of a sofa as $1,254.07 and state taxes of 7%.

We are required to calculate the amount of sales tax.

The amount of sales tax can be calculated by multiplying the purchase price by the sales tax rate.

Let's represent the sales tax rate by `r`.

Therefore, the sales tax formula is expressed as:

Sales tax = r * purchase price

In this case, the rate of the sales tax `r` is 7%.

Therefore, we have:r = 7% = 0.07

Now we substitute the values given into the formula:

Sales tax = 0.07 * $1,254.07= $87.79

Therefore, the amount of sales tax is $87.79.

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Answer:

If you go to this link it'll give you a whole explanation and walk   how to get your answer:

https://www.khanacademy.org/math/arithmetic/fraction-arithmetic/arith-review-visualizing-equiv-frac/a/equivalent-fractions-common-denominator-review

Step-by-step explanation:

Hope that this helps! :)

Have a great rest of your day/night!