Solve each system by using elementary row operations on the equations or on the augmented matrix. Follow the systematic elimination procedure described in this section.
2x 1+4x 2=−4 5x1+7x 2=11

The linear approximation of ln(1.09) is approximately equal to 0.09 (rounded to two decimal places).

To use a linear approximation to estimate ln(1.09) and produce a small error, we will follow these steps:
Step 1: Choose a value of 'a' close to 1.09 for which the natural logarithm is easy to calculate. In this case, we can choose a = 1.
Step 2: Find the derivative of the natural logarithm function, which is f'(x) = 1/x.
Step 3: Evaluate the derivative at the chosen value of 'a'. In our case, f'(1) = 1/1 = 1.
Step 4: Use the linear approximation formula to estimate ln(1.09):
ln(1.09) ≈ ln(a) + f'(a) * (1.09 - a)
Step 5: Plug in the values of 'a' and f'(a) into the formula:
ln(1.09) ≈ ln(1) + 1 * (1.09 - 1)
Since ln(1) = 0, we have:
ln(1.09) ≈ 1 * (0.09) = 0.09

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The weighted mean score is:

90.7 / 100% = 0.907 or 90.7%

Rounding to two decimal places, the student's weighted mean score is 90.70%.

To calculate the weighted mean score, we need to multiply each score by its corresponding percent of the final grade, then sum these products, and finally divide by the total percent of the final grade.

In this case, we have:

Homework score: 85, percent of final grade: 10%

First quiz score: 87, percent of final grade: 10%

Second quiz score: 97, percent of final grade: 10%

Project score: 95, percent of final grade: 40%

Final exam score: 86, percent of final grade: 30%

To calculate the weighted mean score, we first need to calculate the products of the score and the percent of the final grade for each component:

Homework contribution to the final grade: 85 x 0.1 = 8.5

First quiz contribution to the final grade: 87 x 0.1 = 8.7

Second quiz contribution to the final grade: 97 x 0.1 = 9.7

Project contribution to the final grade: 95 x 0.4 = 38

Final exam contribution to the final grade: 86 x 0.3 = 25.8

Next, we sum these products:

8.5 + 8.7 + 9.7 + 38 + 25.8 = 90.7

Finally, we divide by the total percent of the final grade:

10% + 10% + 10% + 40% + 30% = 100%

So, the weighted mean score is:

90.7 / 100% = 0.907 or 90.7%

Rounding to two decimal places, the student's weighted mean score is 90.70%.

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Answer: the answer is b

Step-by-step explanation:

Answer: D

Step-by-step explanation:

y =mx+c

Answer:

The answer to your problem is C. Each column will be the same height.

Step-by-step explanation:

If the mode will refers to the most occurring number.

And shown there are five within a data set that is 4 wide, so there will be 5 columns of equal length.

Thus the answer to your problem is, C. Each column will be the same height.

The description of the parabola of the quadratic function is:

It opens downwards and is thinner than the parent function

The general formula for expressing a quadratic equation in standard form is:

y = ax² + bx + c

Quadratic equation In vertex form is:

y = a(x − h)² + k .

In both forms, y is the y -coordinate, x is the x -coordinate, and a is the constant that tells you whether the parabola is facing up ( + a ) or down ( − a ), (h, k) are coordinates of the vertex

In this case, a is negative and as such it indicates that it opens downwards and is thinner than the parent function

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The only equilibrium of the replicator equation is the neutrally stable equilibrium at x1 = x2 = x3 = 1/3.

The replicator equation is a dynamical system that models the evolution of a population of players in a game based on their payoffs. For a two-player game with payoffs given by the matrix R, the replicator equation for the frequency-dependent selection is given by:

dx/dt = x(Rx - x'R x)

where x is a vector of population frequencies, and x'R x is the average payoff of the population.

For the given payoff matrix:

1 1 3

2 1 3

2 -1 0

The replicator equation is given by:

dx1/dt = x1(1x1 + 2x2 + 2x3 - x1 - x2)

dx2/dt = x2(1x1 + 1x2 - 1x3 - x1 - x2)

dx3/dt = x3(3x1 + 3x2 + 0x3 - 2x1 - 3x2)

To find the equilibria of the replicator equation, we need to solve for dx/dt = 0. One possible equilibrium is when all players play the same strategy, i.e., x1 = x2 = x3 = 1/3. To check if this is a stable equilibrium, we need to compute the Jacobian matrix of the replicator equation evaluated at this equilibrium:

J = [2/3 -1/3 -1/3;

-1/3 2/3 -1/3;

1/3 -1/3 0 ]

The eigenvalues of this matrix are λ1 = 1, λ2 = 1/3, and λ3 = -1/3, which means that the equilibrium is neutrally stable (i.e., stable in some directions and unstable in others).

Another possible equilibrium is when x1 = 1 and x2 = x3 = 0 (i.e., all players play the first strategy). To check if this is a stable equilibrium, we need to evaluate the replicator equation at this point:

dx1/dt = 0

dx2/dt = x2(1 - x1 - x2)

dx3/dt = x3(3 - 2x1 - 3x2)

From the second equation, we see that x2 = 0 or x1 + x2 = 1. If x2 = 0, then x1 = 1 and dx3/dt = 3x3 > 0, which means that the equilibrium is unstable. If x1 + x2 = 1, then x1 = 1 - x2 and dx3/dt = 3x3 - 2x1 > 0 for x2 < 3/5, which means that the equilibrium is also unstable in this case.

Therefore, the only equilibrium of the replicator equation is the neutrally stable equilibrium at x1 = x2 = x3 = 1/3. This means that there is no dominant strategy in this game, and the population frequencies of the strategies will oscillate around the equilibrium in the long run.

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The volume of the prism given in the image above is calculated as: 700 cubic meters.

The prism is a trapezoidal prism, therefore the formula to use to find the volume is given as:

Volume (V) = (Base Area) × Length of prism

Base area of the prism = 1/2 * (a + b) * h

a = 10 m

b = 25 m

h = 5 m

Base area = 1/2 * (10 + 25) * 5

Base area = 87.5 m²

Length of the prism = 8 m

Therefore, we have:

Volume of the prism (V) = 87.5 * 8 = 700 cubic meters.

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Answer:

Step-by-step explanation:

Let's start with the wording of the question. Since the sphere is tangential to the faces of the cube, if we draw our radius perpendicular (forming a right angle with the face), we can see it makes a direct connection to the cube face. This means that the diameter of the sphere is equal to the length of the cube.

Next, the question is asking for the volume outside the sphere and inside the cube. To find this, we need to take the volume of the sphere and subtract it from the volume of the cube.

The volume of a sphere is given as: 4/3*pi*(r)^3

The volume of a cube (or any rectangle) is given as: l*w*h

Now all that's left is to plug in the radius and sides of the cube (which we know is double the radius) and subtract.

(6)*(6)*(6)  -  4/3*pi*(3)^3

216 - 113.1 = 102.9

The question asks for standard units, but we aren't given any units so I'm a bit unclear about this. Either way, volumes are measured in cubics (m^3, ft^3, etc.) so it would be the unit of the radius cubed.

Hope I could help!

The volume contained outside the sphere and inside the cube is 216 - 36π cubic units, which is approximately 99.425 cubic units when rounded to three decimal places.

To find the volume contained outside the sphere and inside the cube, we need to calculate the volume of the cube and subtract the volume of the sphere.

The cube's side length is equal to twice the radius of the inscribed sphere. Therefore, the cube's side length is 2 * 3 = 6 units.

The volume of a cube is calculated by raising the side length to the power of 3. So, the volume of the cube is [tex]6^3 = 216[/tex] cubic units.

The volume of a sphere is given by the formula where r is the radius. Substituting the value, we have [tex](4/3) * π * 3^3 = (4/3) * π * 27[/tex]= 36π cubic units.

Now, to find the volume contained outside the sphere and inside the cube, we subtract the volume of the sphere from the  [tex](4/3) * π * r^3[/tex],volume of the cube: 216 - 36π.

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(a) Let X be the length of a cylindrical metal bar. Then, X ~ N(11, 0.25^2), meaning X is normally distributed with mean 11 cm and standard deviation 0.25 cm. To find P(X > 10.5), the probability that a randomly selected cylindrical metal bar has a length longer than 10.5 cm.

To solve this, we can standardize X using the z-score formula:

z = (X - μ) / σ

where μ = 11 (mean) and σ = 0.25 (standard deviation).

So, we have:

z = (10.5 - 11) / 0.25 = -2

Now, we can find the probability using a standard normal distribution table or calculator:

P(X > 10.5) = P(Z > -2) ≈ 0.9772

(b) To find this value, we can use a standard normal distribution table or calculator. First, we need to find the z-score corresponding to the 86th percentile:

P(Z > z) = 0.14

P(Z < z) = 1 - 0.14 = 0.86

Using a standard normal distribution table or calculator, we find that z ≈ 1.08.

Now, we can use the z-score formula to find K:

z = (K - μ) / σ

1.08 = (K - 11) / 0.25

K - 11 = 1.08 * 0.25

K ≈ 11.27

Therefore, the value of K such that there is a 14% chance that a randomly selected cylindrical metal bar has a length longer than K is approximately 11.27 cm.

(c) Mean = $100 + ($80/cm x 11 cm) = $980
Median = $100 + ($80/cm x 11 cm) = $980
Standard deviation = $80/cm x 0.25 cm = $20
Variance = ($80/cm x 0.25 cm)^2 = $400
86th percentile = mean + (1.08 x standard deviation) = $980 + ($20 x 1.08) = $1002.40

(d) The production cost of a cylindrical metal bar has a mean of $980 and a standard deviation of $20. The cost has a variance of $400 and the 86th percentile of the cost distribution is $1002.40.

(e) (II) a lower level than 0.25 cm.

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In a comprehensive headache treatment program, people who were low users of analgesic medications achieved at least a 50 percent reduction in headache pain.

A comprehensive headache treatment program is a multi-disciplinary approach to managing and treating headaches. It typically involves a team of healthcare professionals, such as neurologists, pain specialists, psychologists, physical therapists, and nutritionists, who work together to develop a personalized treatment plan for the patient.

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The value of r² + s² is 17.25 if r and s represents the solution of the given quadratic equation 2x² + 9x + 3 = 0.

To find the sum of squares of the solutions of the given quadratic equation, we can use the formula

r² + s² = (r + s)² - 2rs

where r and s are the roots of the quadratic equation.

In this case, we have the equation

2x² + 9x + 3 = 0

We can use the quadratic formula to find the roots:

x = (-b ± √(b² - 4ac)) / 2a

where a = 2, b = 9, and c = 3.

Plugging in these values, we get

x = (-9 ± √(9² - 4(2)(3))) / 4

Simplifying

x = (-9 ± √69) / 4

So the roots are

r = (-9 + √69) / 4

s = (-9 - √69) / 4

To find r² + s², we need to compute (r + s)² - 2rs

(r + s)² - 2rs = ((-9 + √69)/4 + (-9 - √69)/4)² - 2((-9 + √69)/4)((-9 - √69)/4)

Simplifying

= ((-18)/4)² - 2((-9 + √69)/4)((-9 - √69)/4)

= (9/2)² - 2((81 - 69)/16)

= 81/4 - 3/2

= 69/4

= 17.25

Hence, the sum of squares of the solutions of the given quadratic equation 2x² + 9x + 3 = 0 is 17.25.

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Are all the open sets that contain c, and hence all the neighborhoods of c in (X,T).

To show that (X,T) is not a normal space, we need to find two disjoint closed subsets of X that cannot be separated by open neighborhoods. Let A = {a,b,c,d} and B = {a,b,e} be two disjoint closed subsets of X. We can see that A and B cannot be separated by open neighborhoods as follows:

Suppose there exist open sets U and V in X such that A ⊆ U, B ⊆ V, U ∩ V = ∅. Then, since {a,b} is in both A and B, we must have a and b both in either U or V, say a and b are both in U. But then, U cannot be a subset of any open set containing {a,c,d}, since U also contains b, which is not in any such set. Therefore, there is no way to separate A and B by open neighborhoods, and (X,T) is not a normal space.

To find the collection of all neighborhoods of c, we need to find all open sets containing c. Since {a,c,d} is the smallest open set containing c, we have:

N(c) = {X, {a}, {a,b,c,d}, {a,c,d}, {a,b,c,d,e}, {a,b,c,e}, {a,c,d,e}}

These are all the open sets that contain c, and hence all the neighborhoods of c in (X,T).

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(1) The two triangles are similar because they have equal angles.

(2)  Triangle QRS is similar to triangle QLM because they have equal angles.

(3) Both triangles are similar and the value of x is 21.

Two triangles are said to be similar if they have equal sides, equal angles or both.

The missing angles of the triangles for the question is calculated as;

Bigger triangle; missing angle = 180 - (44 + 46) = 90

Smaller triangle; missing angle = 90 - 46 = 44⁰

Both triangles are similar.

For the second question; triangle QRS is similar to triangle QLM  because angle R is equal to angle L, and also they have common angle Q, which implies that angle S must be equal to angle L.

For third question, the triangles are similar because their corresponding angles are equal.

The value of x is calculated as;

48 + 4x + (180 - (56 + 76)) = 180 (sum of angles on a straight line)

48 + 4x + 48 = 180

4x = 84

x = 84/4

x = 21

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The answer to your question contains a number cube and various events as follows:

(a) Event "A and B": To find the outcomes for this event, we need to identify the numbers that are both odd and less than 4. The outcomes are 1 and 3.

(b) Event "A or B": To find the outcomes for this event, we need to identify the numbers that are either odd or less than 4. The outcomes are 1, 2, 3, and 5.

(c) The complement of Event B: To find the complement of Event B, we need to identify the numbers that are not less than 4. The outcomes are 4, 5, and 6.

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The fifth class is [35.4 - 65.5], the midpoint is 50.45, and the class width is 30.1.

The answer that matches these values is (b) [101.6 – 125.7], 113.65 and 24.1.

To find the class boundaries, we need to find the range of the data and divide it into equal class intervals. We can use the formula:

Class width = (maximum value - minimum value) / number of classes

In this case, we have 8 data points, so let's choose 4 classes. The minimum value is 5.3 and the maximum value is 125.7, so the range is 120.4. The class width is:

Class width = 120.4 / 4 = 30.1

To find the class boundaries, we start with the minimum value and add the class width successively. The class boundaries are:

Class 1: 5.3 - 35.4

Class 2: 35.4 - 65.5

Class 3: 65.5 - 95.6

Class 4: 95.6 - 125.7

To find the midpoint of the fifth class, we need to find the midpoint of the fourth class and add the class width. The midpoint of the fourth class is:

Midpoint of class 4 = (95.6 + 125.7) / 2 = 110.65

Adding the class width, we get:

Midpoint of class 5 = 110.65 + 30.1 = 140.75

Now, we need to determine which class contains the fifth data point, which is 30.3. We can see that it falls in the second class, which has boundaries of 35.4 - 65.5. The midpoint of this class is:

Midpoint of class 2 = (35.4 + 65.5) / 2 = 50.45

To find the logarithm base 8 of this midpoint, we can use the formula:

log8(x) = log10(x) / log10(8)

log8(50.45) = log10(50.45) / log10(8) = 1.6845 / 0.9031 = 1.8642 (rounded to four decimal places)

Therefore, the fifth class is [35.4 - 65.5], the midpoint is 50.45, and the class width is 30.1.

The answer that matches these values is (b) [101.6 – 125.7], 113.65 and 24.1.

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The radius of the circle with tangent length of 12 cm is equal to √122 cm

The tangent to a circle theorem states that a line is tangent to a circle if and only if the line is perpendicular to the radius drawn to the point of tangency

The radius of the circle will form a right triangle with the tangent length 12 cm and the length 16 cm, thus the length of the radius can be derived using the Pythagoras rule as follows:

(16 cm)² = (12 cm)² + r² {r = radius}

r = √(16² - 12²) cm

r = √(256 - 144) cm

r = √112 cm.

Therefore, the radius of the circle with tangent length of 12 cm is equal to √122 cm

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Step-by-step explanation:

6(3h - 4) = 18h + (-24) = 18h -24

(a) When the ball leaves the child's hand, x = 0, so we can substitute this into the equation:
y = -1/16(0)^2 + 2(0) + 5
y = 5
Therefore, the ball is 5 feet high when it leaves the child's hand.

(b) To find the maximum height of the ball, we need to determine the vertex of the parabola. The x-coordinate of the vertex is given by:
x = -b/2a
where a = -1/16 and b = 2. Substituting these values:
x = -2/(2(-1/16))
x = 16
To find the y-coordinate, we substitute x = 16 into the equation:
y = -1/16(16)^2 + 2(16) + 5
y = 21
Therefore, the maximum height of the ball is 21 feet.

(c) To find how far from the child the ball strikes the ground, we need to determine the value of x when y = 0. Substituting y = 0 into the equation:
0 = -1/16x^2 + 2x + 5
Multiplying both sides by -16 to eliminate the fraction:
0 = x^2 - 32x - 80
We can solve for x using the quadratic formula:
x = (32 ± sqrt(32^2 - 4(1)(-80))) / 2(1)
x = (32 ± sqrt(1472)) / 2
x = 16 ± 8sqrt(2)
Since the ball cannot land behind the child, we take the positive value:
x = 16 + 8sqrt(2)
Therefore, the ball strikes the ground approximately 29.1 feet from the child.

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The correct statement regarding R-squared is: "Its value is always between -1.0 and 1.0. A value of 1.0 indicates the line is a perfect fit for the data."

R-squared (²) is a statistical measure that represents the proportion of variance in the dependent variable that is explained by the independent variable(s) in a regression model. The value of R-squared ranges from -1.0 to 1.0.

A value of 1.0 indicates that the regression line perfectly fits the data, while a value of 0 indicates that the model cannot explain any variance in the dependent variable. A negative value indicates that the model is worse than just using the mean of the dependent variable.

Therefore, the best fit line for the data is the one that has an R-squared value closest to 1.0, indicating that it explains a high percentage of the variance in the dependent variable based on the independent variable(s). It is important to note that an R-squared value above 1.0 is not possible and may indicate a mistake in the calculations.

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The number of possible outcomes for each game is 3 (win, lose, or tie). Since there are 2 games left, the total number of possible outcomes is 3 x 3 = 9. Therefore, none of the given answers (a, b, or c) is correct. The correct answer is d.

To determine the number of possible outcomes for your favorite football team's remaining 2 games, we'll consider each game independently. Each game can have 3 possible outcomes: win, lose, or tie. For 2 games, you can use the multiplication principle:

Number of possible outcomes = Outcomes for Game 1 × Outcomes for Game 2

So, the number of possible outcomes is:

3 (win, lose, or tie in Game 1) × 3 (win, lose, or tie in Game 2) = 9

Since 9 is not among the given options, the correct answer is:

d. None of the other answers is correct.

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The value of x in the parallelogram is 1/3.

PQRT is a parallelogram

PT = 8x, TR = 6y, QT = 2x + 2, TS = 2y

We have to find the value of x

In a parallelogram the opposite sides are equal

8x=2x+2

Subtract 2x from both sides

6x=2

Divide both sides by 6

x=2/6

x=1/3

Hence, the value of x in the parallelogram is 1/3.

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The model you're referring to is a simplified representation of gas atoms, which helps us visualize their movement. In this model, atoms are depicted as two-dimensional objects to make it easier to understand.

The given statement suggests that there is a model used to visualize the movement of gas atoms. However, the model has limitations and does not show the interactions between atoms. It also depicts the atoms as two-dimensional objects. This means that the model is only a representation of the atoms' behavior and movement in a simplified manner, and it is not a completely accurate depiction of their behavior in real life.

Additionally, the fact that the model depicts the atoms as two-dimensional objects mean that it does not fully capture the true complexity of the three-dimensional nature of atoms. However, it's important to note that the model does not show the interactions between the atoms, as its primary purpose is to illustrate their motion.

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The coordinates of the point (-7,-3) after a 90 degree clockwise rotation about the origin are (-3,-7).

To rotate a point 90 degrees clockwise about the origin, we need to swap its x and y coordinates and negate the new x coordinate.

So, starting with point (-7,-3):

Swap the x and y coordinates to get (3,-7)

Negate the new x coordinate to get (-3,-7)

Therefore, the coordinates of the point (-7,-3) after a 90 degree clockwise rotation about the origin are (-3,-7).

In mathematics, coordinates are used to specify the position of a point or an object in a particular space. The number of coordinates needed depends on the dimension of the space in which the point or object exists.

In two-dimensional space (also called the Cartesian plane), a point is located by two coordinates, usually denoted as (x, y), where x represents the horizontal distance from a fixed reference point called the origin, and y represents the vertical distance from the origin.

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The probability of getting exactly 417 girls in 811 births is approximately 0.0668.

The probability of getting 417 or more girls in 811 births is approximately 0.1349.

a. The probability of getting exactly 417 girls in 811 births is not 1. The correct probability can be calculated using the binomial probability formula:

P(X = k) = (n choose k) * p^k * (1-p)^(n-k)

where n is the total number of births, k is the number of girls, p is the probability of a girl birth (assumed to be 0.5 for simplicity), and "n choose k" denotes the binomial coefficient, which is calculated as:

(n choose k) = n! / (k! * (n-k)!)

Plugging in the values, we have:

P(X = 417) = (811 choose 417) * 0.5^417 * 0.5^(811-417)

Using a calculator or software, we can simplify and evaluate this expression to find:

P(X = 417) ≈ 0.0668

So the probability of getting exactly 417 girls in 811 births is approximately 0.0668.

b. To find the probability of getting 417 or more girls in 811 births, we need to calculate the cumulative probability from 417 to 811:

P(X ≥ 417) = P(X = 417) + P(X = 418) + ... + P(X = 811)

We can use software or a calculator to calculate this sum, or we can use the complement rule:

P(X ≥ 417) = 1 - P(X < 417)

To calculate P(X < 417), we can use the cumulative distribution function (CDF) of the binomial distribution:

P(X < 417) = sum(i=0 to 416) (811 choose i) * 0.5^i * 0.5^(811-i)

Again, using software or a calculator, we can evaluate this expression to find:

P(X < 417) ≈ 0.8651

So the probability of getting 417 or more girls in 811 births is:

P(X ≥ 417) = 1 - P(X < 417) ≈ 1 - 0.8651 ≈ 0.1349

Rounding to four decimal places, the probability of getting 417 or more girls in 811 births is approximately 0.1349.

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Answer:

Step-by-step explanation:

33

If in a survey, 200 college students were asked whether they live on campus and if they own a car, 55% of college students in the survey don't own a car.

To find the percent of college students who don't own a car, we need to add up the number of students who don't own a car and divide it by the total number of students in the survey. In this case, the total number of students in the survey is 200.

From the table, we can see that there are 88 students who live on campus and don't own a car, and 22 students who don't live on campus and don't own a car. So the total number of students who don't own a car is 88 + 22 = 110.

To find the percentage, we divide the number of students who don't own a car by the total number of students in the survey and then multiply by 100 to get the percentage:

Percentage of students who don't own a car = (110/200) x 100% = 55%

When working with percentages, we need to divide the number we are interested in by the total and then multiply by 100 to get the percentage.

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The linear programming problem is solved using the simplex method by constructing the simplex tableau, performing pivot operations, and obtaining the optimal solution. The optimal values of the decision variables are X1 = 11, X2 = 3, and X3 = 0, and the optimal objective function value is Z = 29. The other variables X4, X5, and X6 are equal to 0.

What is a linear constraint?

Linear constraint refers to a set of mathematical equations or inequalities that restrict the feasible region of a linear programming problem to a polyhedron, which is a bounded convex region in the n-dimensional space defined by the values of the decision variables.

The objective is to optimize a linear objective function subject to these linear constraints, subject to non-negativity constraints on the decision variables.

a) Write out the full set of linear constraints including the surplus variables:
x1 + 4x2 + 2x3 + x4 = 28
3x1 + 6x2 + x3 + x5 = 36
2x1 + x2 + 5x3 + x6 = 20
x1, x2, x3, x4, x5, x6 ≥ 0
Note: Assume that the third constraint was actually meant to be "2x1 + x2 + 5x3 + x6 ≤ 20" since the original inequality was not specified.

b) Write the problem in standard form:
Minimize Z = 2x1 + 3x2 + 2x3 + 0x4 + 0x5 + 0x6
Subject to:
x1 + 4x2 + 2x3 + x4 = 28
3x1 + 6x2 + x3 + x5 = 36
2x1 + x2 + 5x3 + x6 ≤ 20
x1, x2, x3, x4, x5, x6 ≥ 0

c) Write the problem in matrix form:
Minimize Z = [2 3 2 0 0 0] [x1 x2 x3 x4 x5 x6]T
Subject to:
[1 4 2 1 0 0] [x1 x2 x3 x4 x5 x6]T = 28
[3 6 1 0 1 0] [x1 x2 x3 x4 x5 x6]T = 36
[2 1 5 0 0 1] [x1 x2 x3 x4 x5 x6]T ≤ 20
[x1 x2 x3 x4 x5 x6]T ≥ 0

d) Write out the initial simplex tableau:
Basic      x1      x2      x3      x4      x5      x6      RHS
Z          2       3       2       0       0       0       0
x4         1       4       2       1       0       0       28
x5         3       6       1       0       1       0       36
x6         2       1       5       0       0       1       20

Note: The initial tableau has the identity matrix as the coefficient matrix for the slack and surplus variables, and the objective coefficients are in the top row. The RHS column contains the right-hand side values of the constraints.

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The simplified expression after simplification is 3x² - 3x - 2.

To simplify the expression, we need to distribute the negative sign to the second polynomial and then combine like terms.

So,

(2xx² - 4) - (-x²+ 3x - 6)

= 2x² - 4 +x²- 3x + 6 (distributing the negative sign)

= 3x²- 3x + 2 (combining like terms)

To simplify the given expression, we first need to distribute the negative sign to the terms inside the second parentheses:

(2x² - 4) - (-x² + 3x - 6)

= 2x² - 4 + ² - 3x + 6 (distributing the negative sign changes the signs of all terms inside the second parentheses)

= 3x² - 3x + 2

Therefore, the simplified expression is 3x² - 3x - 2.

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Complete Question:

Simplify (2x²−4)−(−x²+3x−6)(² −4)−(−x² +3x−6).

There is 95% confident that the true difference in proportions of people who identify as a "dog person" in the city and rural areas is between -0.3008 and -0.0260

To find the 95% confidence interval for the difference in proportions of people who identify as a "dog person" in the city and rural areas, we can use the formula:

[tex](p1 - p2)± \frac{zα}{2} \sqrt{\frac{p1(1-p1)}{n1} } + \frac{p2(1-p2)}{n2}[/tex]

where:

p1 is the proportion of people in the city sample who identify as a "dog person"

p2 is the proportion of people in the rural sample who identify as a "dog person"

n1 is the size of the city sample

n2 is the size of the rural sample

[tex]\frac{za}{2}[/tex] is the critical value from the standard normal distribution for a 95% confidence level (which is 1.96)

Plugging in the values given in the problem, we get:

[tex]p1 = \frac{75}{231} = 0.3247[/tex]

[tex]p2 = \frac{51}{113} = 0.4513[/tex]

n1 = 231

n2 = 113

[tex]\frac{za}{2} = 1.96[/tex]

So the confidence interval for the difference in proportions is:

[tex](0.3247 - 0.4513)±1.96 \sqrt{0.3247(\frac{1-0.3247}{231} )} + (0.4513(\frac{1-0.4513}{113)} )[/tex]

= -0.1634 ± 0.1374

= (-0.3008, -0.0260)

Therefore, we are 95% confident that the true difference in proportions of people who identify as a "dog person" in the city and rural areas is between -0.3008 and -0.0260.

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Answer:

.2250

Step-by-step explanation:

The cosine function is positive in the 1st quadrant. The value of cos 77 is given as .2250

Hope this helps