Help plz!! 100 points

Answer: Graph A

Step-by-step explanation:

Answer:

A

Step-by-step explanation:

Correct on khan

Answer: 390625

The quiz has 5 choices for each question, so there are 5 ^ 8   ways to answer the quiz questions.

In other words, you can calculate the possible numbers of answers = 5x5x5x5x5x5x5x5 = 390625

Answer:

Step-by-step explanation:

y=-5x-13

Since we know the value of y we can substitute it in

6x+6(-5x-13)=-6

6x-30x-78=-6

-24x=72

-x=3

x=-3

Now that we know the value of x we can solve Y

y=-5(-3)-13

y=15-13

y=2

Answer:

2. 55

3. 125

4. 125

Step-by-step explanation:

a) The matrix exponential for matrix A is [tex]e^t[/tex]A = I + tA.

b) The matrix exponential for matrix B is [tex]e^t[/tex]B = I + tB.

c) To calculate [tex]e^{(A+B)t}[/tex], we substitute A and B into the matrix exponential definition and simplify the expression.

d) It is not generally true that [tex]e^t[/tex]B * [tex]e^t[/tex]A = [tex]e^t[/tex]A+B. The exponential of the sum of matrices is not equal to the product of their individual exponentials, unless the matrices commute.

a) For matrix A, the matrix exponential [tex]e^t[/tex]A is calculated as [tex]e^t[/tex]A = I + tA, where I is the identity matrix.

b) For matrix B, the matrix exponential[tex]e^t[/tex]B is calculated as [tex]e^t[/tex]B = I + tB, where I is the identity matrix.

c) To calculate [tex]e^{(A+B)t}[/tex], we substitute A and B into the matrix exponential definition:

[tex]e^{(A+B)t}[/tex] = I + t(A+B).

Expanding the expression further:

[tex]e^{(A+B)t}[/tex] = I + tA + tB.

d) It is not true in general that [tex]e^t[/tex]B * [tex]e^t[/tex]A = [tex]e^t[/tex](A+B). This equality holds only when matrices A and B commute, meaning AB = BA.

In the general case where A and B do not commute, [tex]e^t[/tex]B * [tex]e^t[/tex]A is not equal to [tex]e^t[/tex](A+B). The matrix exponential does not have the property of distributivity over addition, unlike regular exponentiation.

Therefore, the justification for this answer is that matrix exponentials do not follow the same rules as scalar exponentials when it comes to addition and multiplication.

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f1 is neither injective nor surjective.

f2 is bijective (both injective and surjective).

f3 is injective, but not surjective.

The given sets and their functions are f1 = {(a, c), (b, a),(c,d),(d,b)}, f2 = {(a, b), (b, d), (c, d),(d, c)}, and f3 = {(a, b), (b, b), (c, b),(d, b)}. To determine whether each function is injective, surjective, and/or bijective, the following terms are to be kept in mind:

- A function is injective if every element in the domain has a unique pre-image in the range.
- A function is surjective if every element in the range has at least one pre-image in the domain.
- A function is bijective if it is both injective and surjective.

Function f1 = {(a, c), (b, a), (c, d), (d, b)} is neither injective nor surjective. This function is not injective since it maps both b and d to a, thus making two elements in the domain map to one element in the range. Similarly, it is not surjective because neither b nor d has a pre-image in the range. For example, no element in the domain maps to b or d.

Function f2 = {(a, b), (b, d), (c, d), (d, c)} is bijective. It is injective since every element in the domain has a unique pre-image in the range. Also, it is surjective since every element in the range has at least one pre-image in the domain.

Function f3 = {(a, b), (b, b), (c, b), (d, b)} is injective and not surjective. This function is injective since every element in the domain has a unique pre-image in the range. However, it is not surjective since only b has a pre-image in the domain. Hence, the negative answer is because the elements in the domain do not have any other pre-image apart from b.

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To determine whether the mean or the median would be higher, or if they would be about equal, we need more specific information about the case or dataset in question.

The mean and median are statistical measures used to describe different aspects of a dataset.

Mean: The mean is the average value of a dataset and is calculated by summing all the values and dividing by the total number of values. The mean is sensitive to extreme values or outliers since it takes into account every value in the dataset.

Median: The median is the middle value in a sorted dataset. If the dataset has an odd number of values, the median is the middle value itself. If the dataset has an even number of values, the median is the average of the two middle values. The median is less affected by extreme values or outliers since it only depends on the order of values.

Without specific information about the dataset, it is difficult to determine whether the mean or the median would be higher or if they would be about equal. Different datasets can exhibit different characteristics, such as skewed distributions or symmetric distributions, which can influence the relationship between the mean and the median.

In general terms, if the dataset is symmetrical and does not contain extreme values, the mean and the median are likely to be about equal. However, if the dataset is skewed or contains extreme values, the mean may be influenced more by these outliers, potentially making it higher or lower than the median.

To provide a more accurate assessment, please provide additional details about the case or dataset under consideration.

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The Inverse Laplace Transform of each of the following:

1. 42/9s-30 is 14/3 * e^(10t/3).

2. 9s-8/s^2+24s is (-1/3) + (10/3) * e^(-24t).

3. 3s-16/s^2-24s-69 is (5/8) * e^(3t) + (19/8) * e^(23t).

To find the inverse Laplace transform of each expression, we'll use partial fraction decomposition and consult a table of Laplace transforms. Here are the solutions for each case:

1. To find the inverse Laplace transform of 42/(9s - 30):

First, let's factor out the denominator: 9s - 30 = 9(s - 10/3).

The inverse Laplace transform of 42/(9s - 30) is then given by:

L^-1 {42/(9s - 30)} = L^-1 {42/[9(s - 10/3)]}

We can use the property that the inverse Laplace transform is linear and the following table entry:

L{1/(s - a)} = e^(at)

Using these, the inverse Laplace transform can be simplified as follows:

L^-1 {42/[9(s - 10/3)]} = 42/9 * L^-1 {1/(s - 10/3)}

                        = 14/3 * L^-1 {1/(s - 10/3)}

                        = 14/3 * e^(10t/3)

Therefore, the inverse Laplace transform of 42/(9s - 30) is (14/3) * e^(10t/3).

2. To find the inverse Laplace transform of (9s - 8)/(s^2 + 24s):

The denominator s^2 + 24s can be factored as s(s + 24).

Now, we need to perform partial fraction decomposition on the expression:

(9s - 8)/(s^2 + 24s) = A/s + B/(s + 24)

To find the values of A and B, we can multiply both sides of the equation by the common denominator (s(s + 24)) and equate the numerators:

9s - 8 = A(s + 24) + B(s)

Expanding and equating coefficients, we get:

9s - 8 = (A + B)s + 24A

Equating coefficients of s:

9 = A + B

Equating constant terms:

-8 = 24A

Solving the above equations, we find A = -1/3 and B = 10/3.

Now, we can express the original expression as:

(9s - 8)/(s^2 + 24s) = (-1/3) * 1/s + (10/3) * 1/(s + 24)

Using the Laplace transform table, the inverse Laplace transform of 1/s is 1, and the inverse Laplace transform of 1/(s + a) is e^(-at).

Therefore, the inverse Laplace transform of (9s - 8)/(s^2 + 24s) is:

L^-1 {(9s - 8)/(s^2 + 24s)} = (-1/3) * 1 + (10/3) * e^(-24t)

Simplifying, we get:

L^-1 {(9s - 8)/(s^2 + 24s)} = (-1/3) + (10/3) * e^(-24t)

Hence, the inverse Laplace transform of (9s - 8)/(s^2 + 24s) is (-1/3) + (10/3) * e^(-24t).

3. To find the inverse Laplace transform of (3s - 16)/(s^2 - 24s - 69), we need to perform partial fraction decomposition. First, let's factor the denominator:

s^2 - 24s - 69 = (s - 3)(s - 23)

Now, we can express the given expression as:

(3s - 16)/(s^2 - 24s - 69) = A/(s - 3) + B/(s - 23)

To find the values of A and B, we can multiply both sides of the equation by the common denominator (s - 3)(s - 23) and equate the numerators:

3s - 16 = A(s - 23) + B(s - 3)

Expanding and equating coefficients, we get:

3s - 16 = (A + B)s - (23A + 3B)

Equating coefficients of s:

3 = A + B

Equating constant terms:

-16 = -23A + 3B

Solving the above equations, we find A = 5/8 and B = 19/8.

Now, we can express the original expression as:

(3s - 16)/(s^2 - 24s - 69) = (5/8) * 1/(s - 3) + (19/8) * 1/(s - 23)

Using the Laplace transform table, the inverse Laplace transform of 1/(s - a) is e^(at).

Therefore, the inverse Laplace transform of (3s - 16)/(s^2 - 24s - 69) is:

L^-1 {(3s - 16)/(s^2 - 24s - 69)} = (5/8) * e^(3t) + (19/8) * e^(23t)

Simplifying, we get:

L^-1 {(3s - 16)/(s^2 - 24s - 69)} = (5/8) * e^(3t) + (19/8) * e^(23t)

Hence, the inverse Laplace transform of (3s - 16)/(s^2 - 24s - 69) is (5/8) * e^(3t) + (19/8) * e^(23t).

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Answer:

No

Step-by-step explanation:

a^2 + b^2 = c^2

Since 78 is the largest it will be c.

26^2 + 76^2 = 78^2

676 + 5776 = 6084

6452 does NOT = 6084

Since c^2 is larger it is an obtuse triangle.

Answer:

48

Step-by-step explanation:

( it might be wrong pls dont report me just let me kno y its wrong )

Answer:

first option

Step-by-step explanation:

The exterior angle of a triangle is equal to the sum of the 2 opposite interior angles.

∠ 4 is an exterior angle of the triangle, then

∠ 4 = ∠ 2 + ∠ 3

The differential equation describing the relationship between the balance B of Rachel's car loan and time t is given by dB/dt = 0.045B - 375.

The equation represents the change in the balance of Rachel's car loan over time. The term dB/dt represents the rate of change of the balance with respect to time. The right-hand side of the equation consists of two terms. The first term, 0.045B, represents the increase in the balance by 4.5% per month. This term accounts for the growth of the loan balance due to accrued interest.

The second term, -375, represents the decrease in the balance by $375.00 each month, which could be the monthly payment towards the loan principal. By subtracting this payment from the growth, the equation captures the net change in the balance. The equation allows us to model and analyze the behavior of the loan balance as time progresses.

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The product of the two matrices Q₁Q₂ is orthogonal

In linear algebra, an orthogonal matrix, or orthonormal matrix, is a real square matrix whose columns and rows are orthonormal vectors. ... {\displaystyle Q^{\mathrm {T} }Q=QQ^{\mathrm {T} }=I,} where QT is the transpose of Q and I is the identity matrix.

It is said to be an orthogonal matrix if its transpose is equal to its inverse matrix, or when the product of a square matrix and its transpose gives an identity matrix of the same order.

If A is an n*n orthogonal matric, then A*A¹ = A¹*A

Therefore A*A¹ = A¹*A  = 1

This implies that the product Q₁O₂ is orthogonal.

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The probability that Beth does yoga knowing that she walked is 0.50. The probability that Beth walks knowing that she did yoga is 0.27. The events "Beth does yoga" and "Beth walks" are dependent events.

To calculate the probability that Beth does yoga knowing that she walked, we use the formula for conditional probability. The probability of Beth doing yoga given that she walked is equal to the probability of both events occurring (Beth does both) divided by the probability of the given event (Beth walks). In this case, the probability of Beth doing yoga and walking is 0.20, and the probability of Beth walking is 0.40. Therefore, the probability that Beth does yoga knowing that she walked is 0.20/0.40 = 0.50.

Similarly, to calculate the probability that Beth walks knowing that she did yoga, we use the formula for conditional probability. The probability of Beth walking given that she did yoga is equal to the probability of both events occurring (Beth does both) divided by the probability of the given event (Beth does yoga). In this case, the probability of Beth doing yoga and walking is 0.20, and the probability of Beth doing yoga is 0.75. Therefore, the probability that Beth walks knowing that she did yoga is 0.20/0.75 ≈ 0.27.

Since the conditional probabilities are not equal to the individual probabilities of each event, we can conclude that the events "Beth does yoga" and "Beth walks" are dependent events. The occurrence of one event affects the probability of the other event, indicating a dependence between the two activities.

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Answer:

One example of this can be:

P(x) = (3/2)*(x - 4)*(x - 5)*(x - 5)*(x - 6)

Step-by-step explanation:

A quartic equation is a polynomial of degree 4.

Now, remember that for a polynomial of degree n, with leading coefficient A and zeros {x₁, x₂, ..., xₙ}

The polinomial can be written as:

p(x) = A*(x - x₁)*(x - x₂)*...*(x - xₙ)

In this case we know that we have the zeros 4, 5 and 6.

Notice that this is a polynomial of degree 4 but we have 3 zeros, so one of them may be a double one, i will assume that is the 5.

And we have a leading coefficient that we do not know, let's call it A

Then we can write our polynomial as:

P(x) = A*(x - 4)*(x - 5)*(x - 5)*(x - 6)

Now we know that the polynomial passes through the point (7, 18), then:

P(7) = 18 = A*(7 - 4)*(7 - 5)*(7 - 5)*(7 - 6)

With this equation, we can find the value of A.

18 = A*(7 - 4)*(7 - 5)*(7 - 5)*(7 - 6)

18 = A*12

18/12 = A

(3/2) = A

Then our equation can be:

P(x) = (3/2)*(x - 4)*(x - 5)*(x - 5)*(x - 6)

Answer:

Step-by-step explanation:

[tex]10^9 \div 10^7\\=\frac{10^9}{10^7} \\=10^9 \times 10^{-7}\\=10^{9-7}\\=10^2\\=100[/tex]

Answer: [tex]\$16\dfrac{9}{10}[/tex]

Step-by-step explanation:

Given

Hannah had 30 dollars

Money spent on gift A

[tex]8\ \dfrac{7}{10}=\dfrac{8\times 10+7}{10}=\dfrac{87}{10}[/tex]

money spent on gift B

[tex]4\ \dfrac{2}{5}=\dfrac{22}{5}[/tex]

Money spent on gift C

[tex]\Rightarrow \text{Total-Money spent on (A+B)}\\\\\Rightarrow 30-\dfrac{87}{10}-\dfrac{22}{5}=30-\dfrac{87}{10}-\dfrac{44}{10}\\\\\Rightarrow \dfrac{300-87-44}{10}=\dfrac{169}{10}\\\\\Rightarrow \$16\ \dfrac{9}{10}[/tex]

Students of Khawarizmi College are expected to devise an appropriate solution or recommendation to be implemented by carefully explaining the logic behind the proposal by applying any criteria of Malcolm Baldrige, EFQM, or Sheikh Khalifa Excellence awards.

The Malcolm Baldrige Criteria for Performance Excellence was first established in 1987 as a set of practices and strategies for US businesses. They've since been updated and are currently in their 2019-2020 edition. The criteria have been adopted by several other countries and serve as a framework for organizational excellence. The Baldrige Criteria are broken down into seven categories:

The EFQM Excellence Model is a non-prescriptive business framework for organizational improvement. The framework is intended to assist organizations in developing a culture of continuous improvement by encouraging self-assessment, learning, and creativity. It is based on nine criteria that are classified into three groups:Enablers: leadership, people, strategy, partnerships, and resources.

Results: people results, customer results, society results, and business results; Finally, the Sheikh Khalifa Excellence Awards (SKEA) are given to organizations in the UAE that have demonstrated a strong commitment to quality and excellence in their performance.

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Answer:

sin(θ)=4√41/41

cos(θ)=5√41/41

tan(θ)=4/5

cot(θ)=5/4

sec(θ)=√41/5

csc(θ)=√41/4

Step-by-step explanation:

-1 is a negative real and rational integer.

2 is a positive real number

[tex] \sqrt{ - 1.5} [/tex]

is an imaginary or nonreal number.

1 is rational

0 is rational

2 rational counting number

-2 is a negative integer

and do is -1

Answer:

a.) 200

b.) -56

If I typed out all my work, it would be one LONG answer. I’m just going to include the steps in an attachment. Hope it’s accurate & helpful!

Answer:

B:y=|x+2| -3

The graph shows the points throughout the equation

The degree of precision of a quadrature formula with an error term of 27" (T) is 2.

To understand why the degree of precision is 2, let's first define what the degree of precision means in the context of quadrature formulas. The degree of precision refers to the highest power of x up to which the formula can integrate exactly. In other words, if a quadrature formula has a degree of precision of 2, it means that the formula can integrate exactly all polynomials of degree 2 or lower.

Now, to determine the degree of precision based on the given error term of 27" (T), we need to consider the approximation error. The error term T represents the maximum absolute difference between the exact integral and the approximate integral obtained using the quadrature formula.

In this case, the error term is given as 27" (T). The presence of the quotation mark (") indicates that the error term is measured in arc seconds. This suggests that the error is related to numerical integration over angles or circular arcs.

Since the error term is specified as 27" (T), we can conclude that the error is proportional to the square of the step size used in the quadrature formula. Therefore, the error term is of the order h^2, where h represents the step size.

Since the error term is of order h^2, it implies that the degree of precision is 2. This means that the quadrature formula can provide an exact result for polynomials of degree 2 or lower.

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Answer:

is D

Step-by-step explanation:

because it just makes more sense and my teacher told me the answer

We get two solutions where x = 22 and y = 20 and x = 42 and

y = 0 with the objective function value being 420.

Here we are given the objective function to be

z=10x+10y

The constraints given are

6x + 6y ≥ 102

14x − 11y ≥ 88

x + y ≤ 42

Now if we plot the points in a graph we will now have to shade the easible region.

Clearly for the constraint 6x + 6y ≥ 102,

the shaded region would be away from the origin.

similarly for the constraint 14x − 11y ≥ 88,

the shaded region will be away from the origin.

and for the last constraint, x + y ≤ 42

this will be similar to the objective function and the shaded region will be towards the origin.

Hence we obtain the blue shaded feasible region.

Marking the corner points as A, B, C and D we get

point           coordinates               objective function value

   A                    (11,6)                             110 + 60 = 170

   B                    (17,0)                             170 + 0 = 170

   C                    (22,20)                          220 + 200 = 420

   D                    (42,0)                             420 + 0 = 420

Hence we get two solutions where x = 22 and y = 20 and x = 42 and

y = 0 with the objective function value being 420.

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Answer:

[tex]y=\frac{1}{4} x-3[/tex]

Step-by-step explanation:

y=mx+b -- m = slope, b = y-int

Answer:

V = 603.19 unit^3

or

V = 192π unit^3

Step-by-step explanation:

V = πr^2 *h

V = π(8)^2 *3

V = 603.19 unit^3

or

V = 192π unit^3

Answer:

603.186^3

Step-by-step explanation:

v =  πR2 · h

π8^2 x 3

= 603.186^3

A. The 95% self-belief interval for the percentage of humans making plans to take a one-week excursion this summer time is approximately 0.351 to 0.369.

B. The 99% confidence c programming language for the share of people planning to take a one-week vacation this summer time is approximately 0.348 to 0.372.

C. The 99% self-assurance c program language period is wider than the 95% confidence c language.

A. To assemble the 95% confidence c programming language for the percentage of individuals who plan to take a one-week excursion this summer time, we will use the formula for the self-belief c programming language of a proportion:

CI = p ± z * [tex]\sqrt{((p(1 - p)) / n)}[/tex]

in which p is the pattern percentage, z is the z-score corresponding to the preferred self-belief degree, and n is the sample size.

From the given relative frequency distribution, we will see that the proportion of humans planning to take a one-week excursion is 0.36. The pattern size is 3,057.

Using a z-table for a 95% confidence stage, the z-score similar to a two-tailed test is approximately 1.96.

Plugging the values into the formula, we have:

CI = 0.36 ± 1.96 * [tex]\sqrt{((0.36(1 - 0.36)) / 3,057)}[/tex]

Calculating this expression, we get:

CI = 0.36 ± 1.96 *[tex]\sqrt{ (0.2304 / 3,057)}[/tex]

CI = 0.36 ± 1. 96 * 0.00473

CI ≈ 0.36 ± 0.00928

Therefore, the 95% self-belief interval for the percentage of humans making plans to take a one-week excursion this summer time is approximately 0.351 to 0.369.

B. To assemble the 99% self-assurance c programming language, we use the same formula as above however with a unique z-score.

Using a z-table for a 99% self-belief level, the z-rating similar to a two-tailed take a look at is approximately 2.576.

Plugging the values into the formula, we've got:

CI = 0.36 ± 2.576 * [tex]\sqrt{((0.36(1 - 0.36)) / 3,057)}[/tex]

Calculating this expression, we get:

CI = 0.36 ± 2.576 * [tex]\sqrt{(0.2304 / 3,057)}[/tex]

CI = 0.36 ± 2.576 * 0.00473

CI ≈ 0.36 ± 0.01217

Therefore, the 99% confidence c programming language for the share of people planning to take a one-week vacation this summer time is approximately 0.348 to 0.37.

C. The 99% self-assurance c p2rogram language period is wider than the 95% confidence c language. This is because a higher self-belief stage requires a larger margin of mistakes, resulting in a wider range across the factor estimate.

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MJH = 120

Let TJH = x

You’re told MJT is 4 times TJH

So you have 4x + x = 120

Simplify: 5x = 120

Divide both sides by 5:

X = 24

TJH = x = 24 degrees.

JT is a bisector so both TJH and TJA are the same. So TJA is also 24 degrees

So MJA = 120 - 24 - 24 = 72

MJA = 72 degrees

Answer

34MJT

Step-by-step explanation:

did it on edge

Answer:

5

Step-by-step explanation:

Answer:

5 centimeters

Step-by-step explanation:

You have to look at where it says 2 inches, and follow the line up to where the red stops and see how many centimeters it crosses