Find the intersection of the sets.
{2, 4, 7, 8}{4, 8, 9}
Select the correct choice below and, if necessary, fill in the answer box to complete your choice.
A. The intersection stands empty set.
B. {2, 4, 7, 8}{4, 8, 9}=what?
(Use a comma to separate answers as needed.)

The length of the minimum spanning tree is 32 units.

To calculate the length of the minimum spanning tree, we need to sum up the values of the edges in the tree.

Given the edge values:

a = 7

b = 9

c = 13

d = 3

To find the length of the minimum spanning tree, we simply add these values together:

Length = a + b + c + d

= 7 + 9 + 13 + 3

= 32

Which means that the length of the minimum spanning tree is 32.

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The length of the minimum spanning tree, considering the given edges, is 32.

To calculate the length of the minimum spanning tree, we need to sum the values of all the edges in the tree. In this case, the given edges have the following values:

a = 7

b = 9

c = 13

d = 3

To find the minimum spanning tree, we need to select the edges that connect all the vertices with the minimum total weight. Assuming these edges are part of the minimum spanning tree, we can add up their values:

7 + 9 + 13 + 3 = 32

Therefore, the length of the minimum spanning tree, considering the given edges, is 32.

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Answer:

ST = 108km

Step-by-step explanation:

In ΔPQR and ΔTSR,

∠PRQ = ∠TRS (vertically opposite)

∠PQR = ∠TSR (alternate interior)

∠QPR = ∠ STR (alternate interior)

Since all the angles are equal,

ΔPQR and ΔTSR are similar

Therefore, their corresponding sides have the same ratio

[tex]\implies \frac{ST}{PQ} = \frac{RT}{PR}\\ \\\implies \frac{ST}{48} = \frac{81}{36}\\\\\implies ST = \frac{81*48}{36}[/tex]

⇒ ST = 108km

The remainder of the polynomial division [tex]\frac{x^3 + x^2 - 3x - 7}{x + 4}[/tex] is -43.

Given the expression in the question:

[tex]\frac{x^3 + x^2 - 3x - 7}{x + 4}[/tex]

To determine the remainder, we divide the expression:

[tex]\frac{x^3 + x^2 - 3x - 7}{x + 4}\\\\\frac{x^3 + x^2 - 3x - 7}{x + 4} = x^2 + \frac{-3x^2 - 3x - 7}{x + 4}\\\\Divide\\\\\frac{-3x^2 - 3x - 7}{x + 4} = -3x + \frac{9x - 7}{x + 4}\\\\We \ have\ \\ \\x^2-3x + \frac{9x - 7}{x + 4}\\\\Divide\\\\\frac{9x - 7}{x + 4} = 9 + \frac{-43}{x + 4}\\\\We \ have\:\\ \\ x^2 - 3x + 9 + \frac{-43}{x+4}[/tex]

We have a remainder of -43.
Therefore, option A) -43 is the correct answer.

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Approximately 20.05% of 11th-grade students failed a standardized test with a passing grade of 1000, based on a normally distributed score distribution.

To find the percentage of students who failed the test, we need to calculate the proportion of students who scored below the passing grade of 1000. We can use the standard normal distribution to solve this problem.
First, we need to standardize the passing grade using the formula:
Z = (x – μ) / σ
Where:
Z = the standardized score
X = the passing grade (1000)
Μ = the mean (1128)
Σ = the standard deviation (154)
Substituting the values:
Z = (1000 – 1128) / 154
Z = -0.837
Now, we can use the z-score to find the percentage of students who scored below the passing grade. We can consult a standard normal distribution table or use a calculator to find this value. Looking up the z-score of -0.837 in the table, we find that the cumulative probability is approximately 0.2005.
This means that approximately 20.05% of students scored below the passing grade of 1000. Therefore, the percentage of students who failed the test is approximately 20.05%.

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The function f:Rx→R↦x(1−x) has no inverse function. This is because an inverse function exists only when each input value has a unique output value, and vice versa.

To determine if the function has an inverse, we need to check if it satisfies the horizontal line test. The horizontal line test states that if any horizontal line intersects the graph of a function more than once, then the function does not have an inverse.

Let's consider the function f(x) = x(1−x). If we graph this function, we will see that it is a downward-opening parabola.

When we apply the horizontal line test to the graph, we find that there are horizontal lines that intersect the graph at multiple points. For example, if we consider a horizontal line that intersects the graph at y = 0.5, we can see that there are two points of intersection, namely (0, 0.5) and (1, 0.5).

This violation of the horizontal line test indicates that the function does not have a unique output for each input, and thus it does not have an inverse function.

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The fraction 3/4 represents three-fourths or three divided by four. In the context of the expression A = 500 x (3/4), it means that we are taking three-fourths of the value 500.

In the expression A = 500 x (3/4), the fraction 3/4 represents a ratio or proportion of three parts out of four equal parts. It can be interpreted in various ways depending on the context. Here are a few possible interpretations:

1. Fractional Representation: The fraction 3/4 can be seen as a way to represent a part-to-whole relationship. In this case, it implies that we are taking three parts out of a total of four equal parts. It can be visualized as dividing a whole into four equal parts and taking three of those parts.

2. Proportional Relationship: The fraction 3/4 can also represent a proportional relationship. It suggests that for every four units of something (in this case, 500), we are considering only three units. It indicates that there is a consistent ratio of three to four in terms of quantity or magnitude.

3. Percentage: Another interpretation is that the fraction 3/4 represents a percentage. By multiplying 3/4 by 100, we get 75%. Therefore, 500 x (3/4) can be seen as finding 75% of 500, which is equivalent to taking three-fourths (or 75%) of the initial value.

It is important to note that the specific meaning of the fraction 3/4 in the context of A = 500 x (3/4) depends on the given problem or situation. The interpretation may vary based on the context and the intended use of the expression.

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The volume of the pyramid is approximately 937.5 cubic inches (rounded to the nearest cubic inch).

We can use the following formula to determine the regular square pyramid's volume:

Volume = (1/3) * Base Area * Height

First, let's find the side length of the square base, denoted by "s". We know that the length of a lateral edge is 15 inches, and in a regular pyramid, each lateral edge is equal to the side length of the base. Therefore, we have:

s = 15 inches

Next, we need to find the height of the pyramid, denoted by "h". We are given the measure of angle MDO, which is 38 degrees. In triangle MDO, the height is the side opposite to the given angle. To find the height, we can use the tangent function:

tan(38°) = height / s

Solving for the height, we have:

height = s * tan(38°)

height = 15 inches * tan(38°)

Now, we have the side length "s" and the height "h". Next, let's calculate the base area, denoted by "A". Since the base is a square, the area of a square is given by the formula:

A = s^2

Substituting the value of "s", we have:

A = (15 inches)^2

A = 225 square inches

Finally, we can substitute the values of the base area and height into the volume formula to calculate the volume of the pyramid:

Volume = (1/3) * Base Area * Height

Volume = (1/3) * A * h

Substituting the values, we have:

Volume = (1/3) * 225 square inches * (15 inches * tan(38°))

Using a calculator to perform the calculations, we find that tan(38°) is approximately 0.7813. Substituting this value, we can calculate the volume:

Volume = (1/3) * 225 square inches * (15 inches * 0.7813)

Volume ≈ 937.5 cubic inches

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The real fourth root of 10,000/81 is 10/3.

To find all the real fourth roots of the number 10,000/81, we can use the concept of taking the fourth root. The fourth root of a number x is denoted as √√x.

The number 10,000/81 can be expressed as [tex](10,000/81)^(1/4)[/tex], representing the fourth root of 10,000/81.

To simplify this expression, we can rewrite 10,000 as [tex]100^2[/tex] and 81 as [tex]3^4[/tex].

Now, we have [tex]((100^2)/(3^4))^(1/4)[/tex]. Applying the properties of exponents, we can simplify further by taking the fourth root of both the numerator and denominator.

Taking the fourth root of [tex]100^2[/tex] gives us 10, and the fourth root of [tex]3^4[/tex] gives us 3.

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Given that the constant term in the expansion of the (-3x + 2y)^3 binomial theorem, without expanding, to determine m. The answer is m= 4.

So, the missing term should be 2y as it only appears in the constant term. To get the constant term from the binomial theorem, the formula is given by: Constant Term where n = 3, r = ?, a = -3x, and b = 2y.To get the constant term, the value of r is 3.

Thus, the constant term becomes Now, the given constant term in the expansion of the binomial theorem is -27. Thus, we can say that:$$8y^3 = -27$$ Dividing by 8 on both sides, we get:$$y^3 = -\frac{27}{8}$$Taking the cube root on both sides, we get:$$y = -\frac{3}{2}$$ Therefore, the missing term is 2y, which is -6. Hence, the answer is m = 4.

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Jeff should pay $3,822.42 into the fund each period of time to repay the loan at the end of 7 years.

Given the loan amount of $25,000 with an annual interest rate of 12%, compounded semiannually at a rate of 6%, and a time period of 7 years, we can calculate the periodic payment amount using the formula:

PMT = [PV * r * (1 + r)^n] / [(1 + r)^n - 1]

Here,

PV = Present value = $25,000

r = Rate per period = 6%

n = Total number of compounding periods = 14

Substituting the values into the formula, we get:

PMT = [$25,000 * 0.06 * (1 + 0.06)^14] / [(1 + 0.06)^14 - 1]

Simplifying the equation, we find:

PMT = [$25,000 * 0.06 * 4.03233813454868] / [4.03233813454868 - 1]

PMT = [$25,000 * 0.1528966623083414]

PMT = $3,822.42

Therefore, In order to pay back the debt after seven years, Jeff must contribute $3,822.42 to the fund each period.

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The value of y! y÷(−3/4)=3 1/2 is  -21/8.

Let solve the value of y by multiplying both sides of the equation by (-3/4).

y / (-3/4) = 3 1/2

Multiply each sides by (-3/4):

y = (3 1/2) * (-3/4)

Convert the mixed number 3 1/2 into an improper fraction:

3 1/2 = (2 * 3 + 1) / 2 = 7/2

Substitute

y = (7/2) * (-3/4)

Multiply the numerators and denominators:

y = (7 * -3) / (2 * 4)

y = -21/8

Therefore the value of y is -21/8.

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a. The state space consists of {Red, White, Blue}.

b. Transition matrix P: P = {{1/5, 0, 4/5}, {2/7, 3/7, 2/7}, {3/9, 4/9, 2/9}}.

c. The chain is not irreducible. It is aperiodic since there are no closed paths.

d. The limiting distribution can be computed by raising the transition matrix P to a large power.

e. The stationary distribution is the eigenvector corresponding to the eigenvalue 1 of the transition matrix P.

f. The proportion of red, white, and blue balls can be determined from the limiting or stationary distribution.

a. The state space consists of the possible colors of the balls: {Red, White, Blue}.

b. The transition matrix P for the Markov chain can be constructed as follows:

P =

| P(Red|Red)   P(White|Red)  P(Blue|Red)   |

| P(Red|White) P(White|White) P(Blue|White) |

| P(Red|Blue) P(White|Blue) P(Blue|Blue) |

The transition probabilities can be determined based on the information given about the urns and the sampling process.

P(Red|Red) = 1/5 (Since there is 1 red ball and 4 blue balls in the red urn)

P(White|Red) = 0 (There are no white balls in the red urn)

P(Blue|Red) = 4/5 (There are 4 blue balls in the red urn)

P(Red|White) = 2/7 (There are 2 red balls in the white urn)

P(White|White) = 3/7 (There are 3 white balls in the white urn)

P(Blue|White) = 2/7 (There are 2 blue balls in the white urn)

P(Red|Blue) = 3/9 (There are 3 red balls in the blue urn)

P(White|Blue) = 4/9 (There are 4 white balls in the blue urn)

P(Blue|Blue) = 2/9 (There are 2 blue balls in the blue urn)

c. The Markov chain is irreducible if it is possible to reach any state from any other state. In this case, it is not irreducible because it is not possible to transition directly from a red ball to a white or blue ball, or vice versa.

The Markov chain is aperiodic if the greatest common divisor (gcd) of the lengths of all closed paths in the state space is 1. In this case, the chain is aperiodic since there are no closed paths.

d. To compute the limiting distribution of the Markov chain, we can raise the transition matrix P to a large power. Since the given question suggests using a computer, the specific values for the limiting distribution can be calculated using matrix operations.

e. The stationary distribution for the Markov chain is the eigenvector corresponding to the eigenvalue 1 of the transition matrix P. Using matrix operations, this eigenvector can be calculated.

f. In the long run, the proportion of selected balls that are red can be determined by examining the limiting distribution or stationary distribution. Similarly, the proportions of white and blue balls can also be obtained. The specific values can be computed using matrix operations.

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The solutions of the given 3 exponential equations are given by 1. x = 104.4, 2. no solution, 3. x = 2.3979.

Solving the exponential equation: 5x + 3 = 525

Step 1: First, we will subtract both sides by 3. 5x = 522

Step 2: Now, we will divide by 5. x = 104.4

Solving the exponential equation: 3x + 7 = 9x

Step 1: We will subtract 3x from both sides. 7 = 6x

Step 2: We will divide both sides by 6. x = 1.1667

Solving the exponential equation: 20 = 56

There is no value of x which will make this equation true.

Therefore, this equation has no solution.

Solving the exponential equation: ex-1-5 = 5

Step 1: We will add both sides by 5. ex-1 = 10

Step 2: We will add 1 to both sides. ex = 11

Step 3: We will take natural logs of both sides.

ln(ex) = ln(11) x = 2.3979, rounded to 4 decimal places.

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Answer:

To simplify the expression "X + x + y + y," you can combine like terms:

X + x + y + y = (X + x) + (y + y) = 2x + 2y

So, the simplified form of the expression is 2x + 2y.

c. For the following statement, answer TRUE or FALSE. i. [0,1] is countable: FALSE. ii. The set of real numbers is uncountable: TRUE. iii. The set of irrational numbers is countable: FALSE.

For the first statement, [0, 1] is an uncountable set since we cannot count all of its elements. For the second statement, it is correct that the set of real numbers is uncountable. This result is called Cantor's diagonal argument and is one of the most critical results of mathematical analysis. The proof of this theorem is known as Cantor's diagonalization argument, and it is a significant proof that has made a significant contribution to the field of mathematics.

The set of irrational numbers is uncountable, so the statement is false. Because the irrational numbers are the numbers that are not rational numbers. And the set of irrational numbers is not countable as we cannot list them.

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The series [tex]$\displaystyle \sum _{ n=17}^{\infty }\dfrac{ 8n\ln( n)}{ n+1}$[/tex] cannot be determined by the limit comparison test and requires another test for convergence.

The limit comparison test is inconclusive in this case. The limit comparison test is typically used to determine the convergence or divergence of a series by comparing it to a known series. However, in this case, it is not possible to find a known series that can be used for comparison. The series [tex]$\displaystyle \sum _{ n=17}^{\infty }\dfrac{ 8n\ln( n)}{ n+1}$[/tex] does not have a clear pattern or a simple known series to compare it with. Therefore, the limit comparison test cannot provide a definitive conclusion.

To determine the convergence or divergence of the series [tex]$\displaystyle \sum _{ n=17}^{\infty }\dfrac{ 8n\ln( n)}{ n+1}$[/tex], one must employ another convergence test. There are several convergence tests available, such as the integral test, ratio test, or root test, which can be applied to this series to determine its convergence or divergence. It is necessary to explore alternative methods to establish the convergence or divergence of this series since the limit comparison test does not yield a conclusive result.

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By performing a proof by contradiction and utilizing logical operations, we have derived ∼ L from the given premises. Hence, the conclusion of the argument is ∼ L.

To prove the conclusion ∼ L in the given argument, we can perform a derivation as follows:

Through the use of logical operations and proof by contradiction, we were able to derive L from the supplied premises. Consequently, the argument's conclusion is L.

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Step-by-step explanation:

See image

Functions are fundamental concepts in algebra, and they have a wide range of applications. The input domain of a function maps to the output domain.

We will identify the functions among the options given in the question below.

The following are functions:

ON = {(-2,-5), (0, 0), (2, 3), (4, 6), (7, 8), (14, 12)}OL= {(1, 3), (3, 1), (5, 6), (9, 8), (11, 13), (15, 16)}DI= {(1,4), (3, 2), (3, 5), (4, 9), (8, 6), (10, 12)}OZ = {(-3, 6), (2, 4), (-5, 9), (4,3), (1,6), (0,5)}OJ = {(-3,-1), (9, 0), (1, 1), (10, 2), (3, 1), (0, 0)}

Note that if the set of all first coordinates (x-values) contains no duplicates, then we can state with certainty that it is a function.

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The distinct equivalence classes of the relation R on set A = {-3, -2, -1, 0, 1, 2, 3, 4, 5} can be listed as:

[-3, 3], [-2, 2], [-1, 1], [0], [4, -4], [5, -5].

The relation R on set A is defined as m R n if and only if 51(m² - 1²). We need to find the distinct equivalence classes of this relation.

An equivalence relation satisfies three properties: reflexivity, symmetry, and transitivity.

1. Reflexivity: For all elements m in A, m R m. This means that m² - 1² must be divisible by 51. We can see that for each element in the set A, this condition holds.

2. Symmetry: For all elements m and n in A, if m R n, then n R m. This means that if m² - 1² is divisible by 51, then n² - 1² is also divisible by 51. This condition is satisfied as the relation is defined based on the values of m² and n².

3. Transitivity: For all elements m, n, and p in A, if m R n and n R p, then m R p. This means that if m² - 1² and n² - 1² are divisible by 51, then m² - 1² and p² - 1² are also divisible by 51. This condition is satisfied as well.

Based on these properties, we can conclude that R is an equivalence relation on set A.

To find the distinct equivalence classes, we group together elements that are related to each other. In this case, we consider the value of m² - 1². If two elements have the same value for m² - 1², they belong to the same equivalence class.

After examining the values of m² - 1² for each element in A, we can list the distinct equivalence classes as:

[-3, 3]: These elements have the same value for m² - 1², which is 9 - 1 = 8.

[-2, 2]: These elements have the same value for m² - 1², which is 4 - 1 = 3.

[-1, 1]: These elements have the same value for m² - 1², which is 1 - 1 = 0.

[0]: The value of m² - 1² is 0 for this element.

[4, -4]: These elements have the same value for m² - 1², which is 16 - 1 = 15.

[5, -5]: These elements have the same value for m² - 1², which is 25 - 1 = 24.

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The 95% confidence interval for the population proportion of voters who plan to vote for Candidate A is approximately 0.4559 to 0.5385.


To find the 95% confidence interval for the population proportion, we can use the formula:

Confidence Interval = Sample Proportion ± (Z * Standard Error)

where


Z is the Z-score corresponding to the desired level of confidence,


and the Standard Error is calculated as the square root of (Sample Proportion * (1 - Sample Proportion) / Sample Size).

In this case, we have a sample size of 720 and 358 voters who plan to vote for Candidate A. Therefore, the sample proportion is 358/720 = 0.4972.

Now, we need to find the Z-score corresponding to a 95% confidence level. The Z-score for a 95% confidence level is approximately 1.96.

Substituting the values into the formula, we get:

Confidence Interval = 0.4972 ± (1.96 * √(0.4972 * (1 - 0.4972) / 720))

Calculating the expression inside the square root, we have:

√(0.4972 * (1 - 0.4972) / 720) ≈ 0.0211

Substituting this value into the confidence interval formula, we have:

Confidence Interval = 0.4972 ± (1.96 * 0.0211)

Calculating the values, we get:

Confidence Interval ≈ 0.4972 ± 0.0413

Therefore, the 95% confidence interval for the population proportion of voters who plan to vote for Candidate A is approximately 0.4559 to 0.5385.

Interpreting the confidence interval in context, we can say that we are 95% confident that the true proportion of voters who plan to vote for Candidate A in the population lies between approximately 45.59% and 53.85%


. This means that if we were to conduct multiple samples and construct confidence intervals for each sample, about 95% of those intervals would contain the true population proportion.

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Measure of D is 43 degrees by using geometry.

In triangle ABC, because sum of angles in a triangle is 180

It is given that AB is parallel to DE, AB is perpendicular to BE and AC is perpendicular to BD. This means that ∠B ∠ACD and ∠ACB = 90

Now,

m∠C = 90

m∠A = 47

m∠ABC = 180 - (90+47) = 43

In triangle BDC, because sum of angles in a triangle is 180

m∠DBE = 90 - ∠ABC = 90 - 43 = 47

∠ BED = 90 (Since AB is parallel to DE)

Therefore∠ BDE = 180 - (90 + 47) = 180 - 137 = 43

The required measure of ∠D = 43 degrees.

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The previous viable solution remainsb optimal even after the change in the vector b (resources).

4.1 - To write the dual (D) of the given problem (P), we first identify the decision variables and constraints of the primal problem (P). The primal problem has four decision variables, namely X₁, X₂, X₃, and X₄. The constraints in the primal problem are as follows:

3X₁ + X₂ - X₃ ≤ 1

X₁ + X₂ + X₃ + X₄ ≤ 2

-3X₁ + 2X₃ + 5X₄ ≤ 6

To form the dual problem (D), we introduce dual variables corresponding to each constraint in (P). Let Y₁, Y₂, and Y₃ be the dual variables for the three constraints, respectively. The objective function of (D) is derived from the right-hand side coefficients of the constraints in (P). Therefore, the dual problem (D) is:

Minimize Z_D = Y₁ + 2Y₂ + 6Y₃

subject to:

3Y₁ + Y₂ - 3Y₃ ≥ 2

Y₁ + Y₂ + 2Y₃ ≥ 2

-Y₁ + Y₂ + 5Y₃ ≥ 1

4.2 - To find the solution of the dual problem (D) using the tableau simplex method, we need the initial tableau. Based on the given final tableau for the primal problem (P), we can extract the coefficients corresponding to the dual variables to form the initial tableau for (D):

X₃ -2 0 1 2 -1 1 0 1

X₂ 3 1 0 -1 1 0 0 1

X₇ 1 0 0 1 2 -2 1 4

Z 2 0 0 3 1 1 0 3

From the tableau, we can see that the initial basic variables for (D) are X₃, X₂, and X₇, which correspond to Y₁, Y₂, and Y₃, respectively. The initial basic feasible solution for (D) is Y₁ = 1, Y₂ = 1, Y₃ = 4, with Z_D = 3.

4.3 - To determine [tex]B^(-1)[/tex], the inverse of the basic variable matrix B, we extract the corresponding columns from the primal problem's tableau, considering the basic variables:

X₃ -2 0 1

X₂ 3 1 0

X₇ 1 0 0

We perform elementary row operations on this matrix until we obtain an identity matrix for the basic variables:

X₃ 1 0 1/2

X₂ 0 1 -3/2

X₇ 0 0 1

Therefore,[tex]B^(-1)[/tex] is:

1/2 1/2

-3/2 1/2

0 1

4.4 - Suppose a change in the vector b (resources) is necessary, with the new vector being [3 2 4]. To check if the previous viable solution remains optimal or not, we need to perform the dual simplex method. We first update the tableau of the primal problem (P) by changing the column corresponding to the basic variable X₇:

X₃ -2 0 1 2 -1 1 0 1

X₂ 3 1 0 -1 1 0 0 1

X₇ 1 0 0 1 2 -2 1 4

Z 2 0

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The second equation after eliminating the variable x is 0.5y + 3.5z = 11.5.

To solve the system of linear equations using Gaussian elimination, we'll perform row operations to eliminate variables one by one. Let's start with the given system of equations:

Eliminate x from equations 2 and 3:

To eliminate x, we'll multiply equation 1 by -1.5 and add it to equation 2. We'll also multiply equation 1 by -2 and add it to equation 3.

New equation 3: (4x - 2y + 3z) - 2 * (2x + y - z) = -9 - 2 * 1

Simplifying the equation 3: 4x - 2y + 3z - 4x - 2y + 2z = -9 - 2

Simplifying further: -0.5y - 3.5z = -11.5

So, the second equation after eliminating the variable x is 0.5y + 3.5z = 11.5.

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The gross productions for the industries in the closed Leontief model, given the technology matrix A, can be expressed as follows:

Government industry: 0.4H units

Industry: 0.2H units

Households: 0.2H units

In a closed Leontief model, the technology matrix A represents the production coefficients for each industry. The rows of the matrix represent the industries, and the columns represent the sectors (including government and households) involved in the production process.

To find the gross productions for the industries, we can multiply each row of the matrix A by the number of household units produced, denoted as H.

For the government industry, the production coefficient in the first row of matrix A is 0.4. Multiplying this coefficient by H, we get the gross production for the government industry as 0.4H units.

Similarly, for the industry sector, the production coefficient in the second row of matrix A is 0.2. Multiplying this coefficient by H, we get the gross production for the industry as 0.2H units.

Finally, for the households sector, the production coefficient in the third row of matrix A is 0.2. Multiplying this coefficient by H, we get the gross production for households as 0.2H units.

In summary, the gross productions for the industries in terms of H are as follows: government industry - 0.4H units, industry - 0.2H units, and households - 0.2H units.

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Answer:

I have completed it and attached in the explanation part.

Step-by-step explanation:

Answer:

Step-by-step explanation:

a) Since CD is perpendicular to AB,

∠BDC = ∠CDA = 90°

Comparing ΔABC and  ΔACD,

∠BCA = ∠CDA = 90°

∠CAB = ∠DAC (same angle)

since two angle are same in both triangles, the third angles will also be same

∠ABC = ∠ACD

∴ ΔABC and  ΔACD are similar

Comparing ΔABC and  ΔCBD,

∠BCA = ∠BDC = 90°

∠ABC = ∠CBD(same angle)

since two angle are same in both triangles, the third angles will also be same

∠CAB = ∠DCB

∴ ΔABC and  ΔCBD are similar

b) AB = c,  AC = a and BC = b

ΔABC and  ΔACD are similar

[tex]\frac{AB}{AC} =\frac{AC}{AD} =\frac{BC}{CD} \\\\\frac{c}{a} =\frac{a}{AD} =\frac{b}{CD} \\\\\frac{c}{a} =\frac{a}{AD}[/tex]

⇒ a² = c*AD    - eq(1)

ΔABC and  ΔCBD are similar

[tex]\frac{AB}{CB} =\frac{AC}{CD} =\frac{BC}{BD} \\\\\frac{c}{b} =\frac{a}{CD} =\frac{b}{BD} \\\\\frac{c}{b} =\frac{b}{BD}[/tex]

⇒ b² = c*BD    - eq(2)

eq(1) + eq(2):

(a² = c*AD ) + (b² = c*BD)

a² + b² = c*AD + c*BD

a² + b² = c*(AD + BD)

a² + b² = c*(c)

a² + b² = c²

The surface area that must be covered when painting the exterior of the silo is [tex]700\pi[/tex]square feet.

To calculate the surface area of the grain silo, we need to find the sum of the lateral surface area of the cylinder and the surface area of the hemispherical dome.

Surface area of the cylinder:

The lateral surface area of a cylinder is given by the formula: A_cylinder [tex]= 2\pi rh[/tex], where r is the radius and h is the height.

Given the diameter of the cylinder is 20 ft, we can find the radius (r) by dividing the diameter by 2:

[tex]r = 20 ft / 2 = 10 ft[/tex]

The height of the cylinder is given as 25 ft.

Therefore, the lateral surface area of the cylinder is:

A_cylinder =[tex]2\pi(10 ft)(25 ft) = 500\pi ft^2[/tex]

Surface area of the hemispherical dome:

The surface area of a hemisphere is given by the formula: A_hemisphere = 2πr², where r is the radius.

The radius of the hemisphere is the same as the radius of the cylinder, which is 10 ft.

Therefore, the surface area of the hemispherical dome is:

A_hemisphere [tex]= 2\pi(10 ft)^2 = 200\pi ft^2[/tex]

Total surface area:

To find the total surface area, we add the surface area of the cylinder and the surface area of the hemispherical dome:

Total surface area = Acylinder + Ahemisphere

                 [tex]= 500\pi ft^2 + 200\pi ft^2[/tex]

                 [tex]= 700\pi ft^2[/tex]

So, the surface area that must be covered when painting the exterior of the silo is [tex]700\pi[/tex] square feet.

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The surface area that must be covered is [tex]\(700\pi\)[/tex] sq ft, or approximately 2199.11 sq ft.

To calculate the surface area of the grain silo that needs to be painted, we need to consider the surface area of the cylinder and the surface area of the hemispherical dome.

The surface area of the cylinder can be calculated using the formula:

[tex]\(A_{\text{cylinder}} = 2\pi rh\)[/tex]

where r is the radius of the cylinder (which is half the diameter) and h is the height of the cylinder.

Given that the diameter of the cylinder is 20 ft, the radius can be calculated as:

[tex]\(r = \frac{20}{2} = 10\) ft[/tex]

Substituting the values into the formula, we get:

[tex]\(A_{\text{cylinder}} = 2\pi \cdot 10 \cdot 25 = 500\pi\)[/tex] sq ft

The surface area of the hemispherical dome can be calculated using the formula:

[tex]\(A_{\text{dome}} = 2\pi r^2\)[/tex]

where [tex]\(r\)[/tex] is the radius of the dome.

Since the radius of the dome is the same as the radius of the cylinder (10 ft), the surface area of the dome is:

[tex]\(A_{\text{dome}} = 2\pi \cdot 10^2 = 200\pi\)[/tex] sq ft

The total surface area that needs to be covered is the sum of the surface area of the cylinder and the surface area of the dome:

[tex]\(A_{\text{total}} = A_{\text{cylinder}} + A_{\text{dome}} = 500\pi + 200\pi = 700\pi\)[/tex]sq ft

Therefore, the surface area that must be covered is [tex]\(700\pi\)[/tex] sq ft, or approximately 2199.11 sq ft.

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The expression log(6x)−(2logx−logy) can be simplified to log(6x/[tex]x^2^ * ^y[/tex]).

To simplify the given expression log(6x)−(2logx−logy), we can apply logarithmic properties to combine and rearrange the terms.

First, using the property log(a) - log(b) = log(a/b), we simplify the expression inside the parentheses:

2logx - logy = log[tex](x^2[/tex][tex])[/tex]- log(y) = log([tex]x^2^/^y[/tex])

Next, we substitute this simplified expression back into the original expression:

log(6x) - (log([tex]x^2^/^y[/tex])) = log(6x) - log([tex]x^2^/^y[/tex])

Now, using the property log(a) - log(b) = log(a/b), we can combine the terms:

log(6x) - log(([tex]x^2^/^y[/tex]) = log(6x / (([tex]x^2^/^y[/tex])) = log(6x * y / [tex]x^2[/tex]) = log(6y / x)

Thus, the simplified expression is log(6y / x) with a coefficient of 1.

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The given statement "If P(t) = 2e^0.15t gives the population in an environment at time t, then P(3) = 2e^0.045" is False.

The given function P(t) = 2e^0.15t provides the population in an environment at time t.

Here, e is Euler's number, which is approximately equal to 2.71828182846.

Now, we need to find the value of P(3)

Population in an environment at time t=3:

P(3) = 2e^0.15×3

      = 2e^0.45

      = 2×1.56997≈ 3.1399 (approx)

Therefore, P(3) = 3.1399 (approx)

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The set of all possible vectors v that are orthogonal to u = (9, -4, 0) is:{(4, 9, z) | z ∈ R} or {(4, 9, z) | z is any real number}

In Euclidean geometry with standard inner product in R3,

if we want to find all vectors v that are orthogonal to u = (9, -4, 0),

we need to solve the equation u · v = 0, where u · v represents the dot product of u and v, and 0 is the zero vector in R3.

The dot product of u = (9, -4, 0) and v = (x, y, z) can be represented as:u · v = 9x + (-4)y + 0z = 0

Therefore, we get the following equation:9x - 4y = 0 or y = (9/4)x

In order to obtain all the possible vectors v that are orthogonal to u,

we can let x = 4 and then find the corresponding values of y and z by substituting x = 4 into the equation y = (9/4)x,

and then choosing any value for z since the value of z has no impact on whether v is orthogonal to u.

For example, if we choose z = 1, we get:v = (4, 9, 1) is orthogonal to uv = (9, -4, 0) · (4, 9, 1) = 0

Alternatively, if we choose z = 0,

we get:v = (4, 9, 0) is orthogonal to uv = (9, -4, 0) · (4, 9, 0) = 0

Thus, the set of all possible vectors v that are orthogonal to u = (9, -4, 0) is:{(4, 9, z) | z ∈ R} or {(4, 9, z) | z is any real number}

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