What is the difference of the fractions ? PLZ HELP ONLY HAVE 7 MINS​

Answer:

Draw diagonal AC.

Set your calculator to degree mode.

Use the Law of Cosines to find AC.

AC = √(6^2 + 8^2 -2(6)(8)(cos 95°))

= 10.41

From this, use the Pythagorean Theorem to find DC.

DC = √(10.41^2 - 5^2) = 9.13

So the perimeter of ABCD is

5 + 6 + 8 + 9.13 = 28.13 cm

To determine the cost of laying the slabs around a footpath, we need to know the dimensions of the footpath.

If the footpath is a square with sides measuring 's' meters, the perimeter of the footpath would be 4s.

Since each paving slab measures 2m x 2m, we can fit 2 slabs along each side of the footpath.

Therefore, the number of slabs needed would be (4s / 2) = 2s.

Given that each slab costs £4.50, the total cost of laying the slabs around the footpath would be:

Total Cost = Cost per slab x Number of slabs

Total Cost = £4.50 x 2s

Total Cost = £9s

So, to determine the exact cost, we would need to know the value of 's', the dimensions of the footpath.

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Answer:

Vertical angles are a pair of opposite angles formed by intersecting lines. In the figure, ∠1 and ∠3 are vertical angles. So are ∠2 and ∠4 . Vertical angles are always congruent .

Step-by-step explanation:

i hop this halp

An example of a linear transformation applicable to my field of study (artificial intelligence) is the transformation of input data in a neural network. In this context, the input data is transformed using a linear function, often followed by an activation function, to create new representations of the data at each layer of the network.

The kernel of a linear transformation refers to the set of all input vectors that are mapped to the zero vector. In the context of a neural network, the kernel represents the redundancy or null space in the input data. Understanding the kernel helps in reducing overfitting by eliminating unnecessary features or dimensions from the input data.

The range of a linear transformation is the set of all possible output vectors obtained by applying the transformation to the input vectors. In a neural network, the range corresponds to the space of possible outputs that can be generated by the network. Analyzing the range can help in understanding the network's capabilities and limitations, and potentially lead to improvements in the network architecture or training process.

In summary, a linear transformation appears in the context of a neural network in artificial intelligence. The significance of the kernel and range of such a transformation is to understand the redundancy in input data and the capabilities of the network, respectively, which can help improve the performance of the neural network.

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The number of child tickets sold is 56, and the number of adult tickets sold is 24.

Let's assume the number of child tickets sold is represented by 'x', and the number of adult tickets sold is represented by 'y'.

According to the given information, the total number of tickets sold is 80. Therefore, we have the equation:

x + y = 80 ---(1)

The total revenue generated from ticket sales is $734.00. Since each child ticket costs $5.50 and each adult ticket costs $11.50, we can express the total revenue as:

5.50x + 11.50y = 734.00 ---(2)

To solve this system of equations, we can use the substitution method or the elimination method. Let's use the elimination method:

Multiply equation (1) by 5.50 to eliminate 'x':

5.50(x + y) = 5.50(80)

5.50x + 5.50y = 440 ---(3)

Subtract equation (3) from equation (2) to eliminate 'x':

(5.50x + 11.50y) - (5.50x + 5.50y) = 734.00 - 440

6.00y = 294

y = 49

Substitute the value of y back into equation (1) to find x:

x + 49 = 80

x = 80 - 49

x = 31

Therefore, the number of child tickets sold is 31, and the number of adult tickets sold is 49, which adds up to a total of 80 tickets, as stated in the problem.

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Answer:

x^2 - 8x + 9 + -2/(X +10)

Step-by-step explanation:

1) divide x^3 by x to get x^2

2) multiply x +10 by x^2 to get x^3 + 10x^2

3) subtract x^3 + 10x^2 from x^3 + 2x^2 to get -8x^2

4) divide -8x^2 by x to get -8x

5) multiply -8x by x +10 to get -8x^2 - 80x

6) subtract -8x^2 - 80x from -8x^2 - 71x to get 9x

7) divide 9x by x to get 9

8) multiply 9 by x + 10 to get 9x + 90

9) subtract 9x + 90 from 9x + 88 to get -2.

The set of all triples of real numbers with the standard vector addition but with scalar multiplication defined by k(x, y, z) = (k²x, k²y, k²

What are the real numbers?

Real numbers are a set of numbers that includes all the rational and irrational numbers. The set of real numbers is denoted by the symbol R.

We need to check if the set of all triples of real numbers with the standard vector addition, denoted by (V, +), and scalar multiplication defined by k(x, y, z) = (k²x, k²y, k²z), denoted by (V, ·), is a vector space.

First, we need to check the vector space axioms:

Closure under addition: For any vectors u = (u1, u2, u3) and v = (v1, v2, v3) in V, their sum u + v = (u1 + v1, u2+v2, u3+v3) is also in V. This is true since the standard vector addition is used.

Commutativity of addition: For any vectors u, v in V, u + v = v + u. This is true since the standard vector addition is commutative.

Associativity of addition: For any vectors u, v, w in V, u + (v + w) = (u + v) + w. This is true since the standard vector addition is associative.

Identity element of addition: There exists a vector 0 in V, called the zero vector, such that for any vector u in V, u + 0 = u. The zero vector is (0, 0, 0), and this axiom holds.

Inverse elements of addition: For any vector u in V, there exists a vector -u in V, called the additive inverse of u, such that u + (-u) = 0. This is true since the standard vector addition is used.

Closure under scalar multiplication: For any vector u in V and any scalar k, k · u = (k²u1, k²u2, k²u3) is also in V. This is true since scalar multiplication is defined as k(x, y, z) = (k²x, k²y, k²z).

Distributivity of scalar multiplication over vector addition: For any vectors u, v in V and any scalar k, k · (u + v) = k · u + k · v. This is true since scalar multiplication is defined using the standard scalar multiplication of the real numbers.

Distributivity of scalar multiplication over scalar addition: For any vector u in V and any scalars k, l, (k + l) · u = k · u + l · u.

This is true since scalar multiplication is defined using the standard scalar multiplication of the real numbers.

Associativity of scalar multiplication: For any vector u in V and any scalars k, l, (kl) · u = k · (l · u).

This is true since scalar multiplication is defined using the standard scalar multiplication of the real numbers.

The identity element of scalar multiplication:

For any vector u in V, 1 · u = u, where 1 is the multiplicative identity of the real numbers.

This is not true in this case, since 1 · (x, y, z) = (x, y, z), whereas the scalar multiplication defined in this problem is k(x, y, z) = (k²x, k²y, k²z).

Thus, the set of all triples of real numbers with the given operations is not a vector space, since it violates the identity element of scalar multiplication axiom.

Therefore, the set of all triples of real numbers with the standard vector addition but with scalar multiplication defined by k(x, y, z) = (k²x, k²y, k²).

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Leon's grade on the fifth test is 89. Based on his previous test scores and his desired average of 87.6, he needs to score an 89 on the fifth test to maintain that average.

To use the formula x‾=x1 x2 … xnn to find Leon's grade on the fifth test, we first need to find the sum of his first four test grades.

Sum of first four test grades = 95 + 83 + 92 + 79 = 349

Next, we can use the formula to find Leon's grade on the fifth test:

x‾ = (x1 + x2 + x3 + x4 + x5) / 5

We know that Leon's average test grade is 87.6, so we can substitute in the values we have:

87.6 = (349 + x5) / 5

Multiplying both sides by 5, we get:

438 = 349 + x5

Subtracting 349 from both sides, we get:

x5 = 89

Therefore, Leon's grade on the fifth test is 89.

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(a) The matrix-vector multiplication Ax can be written as:
Ax = [1 2; 3 4; 1 1] * [x1; x2]

Simplifying this expression, we get:
Ax = [1*x1 + 2*x2; 3*x1 + 4*x2; 1*x1 + 1*x2]

(b) Rewriting the above expression in terms of column vectors, we get:
Ax = x1 * [1; 3; 1] + x2 * [2; 4; 1]

So, we can say that vi = [1; 3; 1] and v2 = [2; 4; 1]

(c) We notice that the vectors vi and v2 are the columns of the matrix A. In other words, we can write A = [vi, v2]. So, when we do matrix-vector multiplication Ax, we are essentially taking a linear combination of the columns of A.

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The series is absolutely convergent. The series Σ(1/n^9) converges (as a p-series with p = 9 > 1), by the limit comparison test also converges absolutely.

We can use the limit comparison test to determine the convergence of the series:

Since arctan(n) ≤ π/2 for all n ≥ 1, we have |(-1)^n arctan(n) / n^9| ≤ π/2n^9 for all n ≥ 1.

Since the series Σ(1/n^9) converges (as a p-series with p = 9 > 1), by the limit comparison test, the given series also converges absolutely.

Therefore, the series is absolutely convergent.

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The correct way to complete the sentence is:A(n) tort occurs when a company interferes in the business relationships of another company.

A tort is defined as a wrongful act or infringement of a right leading to civil legal liability. Torts may include fraud, negligence, and misconduct, among other things.In the case of interference in the business relationships of another company, it is known as tortious interference.

Tortious interference happens when a person or company, known as the tortfeasor, purposely harms the plaintiff's legal relationships with a third party, resulting in economic damage. The harm done may be in the form of disrupting business operations or creating negative rumors about the other company.

The plaintiff must prove that the interference was deliberate, and that the resulting economic loss was due to the tortfeasor's actions.The tortfeasor must have known about the relationship, intended to interfere with it, and caused the resulting harm.

Tortious interference claims may be brought in either criminal or civil court, with the latter resulting in compensation for economic damages.

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When the discriminant equals zero, the equation is quadratic because a quadratic equation with a discriminant of zero only has one real root, which is a repeated root.

What is a discriminant?The discriminant of a quadratic equation is b²-4ac. It can be used to determine the nature of the roots of a quadratic equation. If the discriminant is greater than zero, the quadratic has two real roots. If the discriminant is less than zero, the quadratic has two complex roots. If the discriminant is equal to zero, the quadratic has one real root that is repeated.What is a quadratic equation?A quadratic equation is an equation in which the highest power of the variable is 2. The standard form of a quadratic equation is ax²+bx+c=0, where a, b, and c are real numbers, and x is the variable. Quadratic equations can be solved using a variety of methods, including factoring, completing the square, and using the quadratic formula.The quadratic formula is x= (-b±√b²-4ac)/2a. This formula is used to find the roots of a quadratic equation. If the discriminant is zero, the formula becomes x=-b/2a, which is used to find the repeated root of the quadratic equation.Therefore, when the discriminant equals zero, the equation is a quadratic because it has one real root that is repeated.

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To estimate the number of eighth-grader students in your school who find it relaxing to listen to music, you consider two samples.Fifteen randomly selected members of the band and every fifth student whose name appears on an alphabetical list of eighth-grade students.

The work for this estimation is as follows:Sample 1: Fifteen randomly selected members of the band.If the band is a representative sample of eighth-grade students, we can use this sample to estimate the proportion of students who find it relaxing to listen to music.

We select fifteen randomly selected members of the band and find that ten of them find it relaxing to listen to music. Therefore, the estimated proportion of eighth-grader students in your school who find it relaxing to listen to music is: 10/15 = 2/3 ≈ 0.67.Sample 2: Every fifth student whose name appears on an alphabetical list of eighth-grade students.Using this sample, we take every fifth student whose name appears on an alphabetical list of eighth-grade students and ask them if they find it relaxing to listen to music.

We continue until we have asked thirty students. If there are N students in the eighth grade, the total number of students whose names appear on an alphabetical list of eighth-grade students is also N. If we select every fifth student, we will ask N/5 students.

we need N/5 ≥ 30, so N ≥ 150. If N = 150, then we will ask thirty students and get an estimate of the proportion of students who find it relaxing to listen to music.To find out how many students we need to select, we have to calculate the interval between every fifth student on an alphabetical list of eighth-grade students,

which is: 5, 10, 15, 20, 25, 30, 35, 40, 45, 50, 55, 60, 65, 70, 75, 80, 85, 90, 95, 100, 105, 110, 115, 120, 125, 130, 135, 140, 145, 150

We select students numbered 5, 10, 15, 20, 25, and 30 and find that three of them find it relaxing to listen to music. Therefore, the estimated proportion of eighth-grader students in your school who find it relaxing to listen to music is: 3/30 = 1/10 = 0.10 or 10%.Thus, we can estimate that the proportion of eighth-grader students in your school who find it relaxing to listen to music is between 10% and 67%.

To estimate the number of eighth-grade students who find it relaxing to listen to music, you can use two sampling methods: sampling from the band members and sampling from an alphabetical list of eighth-grade students.

Sampling from the Band Members:

Selecting fifteen randomly selected members of the band would give you a sample of band members who find it relaxing to listen to music. You can survey these band members and determine the proportion of them who find it relaxing to listen to music. Then, you can use this proportion to estimate the number of band members in the entire eighth-grade population who find it relaxing to listen to music.

Sampling from an Alphabetical List:

Every fifth student whose name appears on an alphabetical list of eighth-grade students can also be sampled. By selecting every fifth student, you can ensure a random selection across the entire population. Surveying these selected students and determining the proportion of those who find it relaxing to listen to music will allow you to estimate the overall proportion of eighth-grade students who find it relaxing to listen to music.

Both sampling methods can provide estimates of the proportion of eighth-grade students who find it relaxing to listen to music. It is recommended to use a combination of these methods to obtain a more comprehensive and accurate estimate.

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(a) Yes, T is a linear transformation.

(b) No, T is not a linear transformation.

(c) Yes, T is a linear transformation.

(a) To determine whether T is a linear transformation, we need to check two conditions: additivity and homogeneity. In this case, T(x, y, z) = (x + 1, y + 1, z + 1) satisfies both conditions.

It preserves addition since T(x₁ + x₂, y₁ + y₂, z₁ + z₂) = (x₁ + x₂ + 1, y₁ + y₂ + 1, z₁ + z₂ + 1) = (x₁ + 1, y₁ + 1, z₁ + 1) + (x₂ + 1, y₂ + 1, z₂ + 1) = T(x₁, y₁, z₁) + T(x₂, y₂, z₂). It also preserves scalar multiplication since T(c⋅x, c⋅y, c⋅z) = (c⋅x + 1, c⋅y + 1, c⋅z + 1) = c⋅(x + 1, y + 1, z + 1) = c⋅T(x, y, z). Therefore, T is a linear transformation.

(b) For T to be a linear transformation, it should preserve both addition and scalar multiplication. However, in this case, T(A) = trace(A) = a11 + a22 + · · · + ann only satisfies the condition of preserving addition. It fails to preserve scalar multiplication because T(c⋅A) = c⋅(a11 + a22 + · · · + ann) ≠ c⋅T(A). Hence, T is not a linear transformation.

(c) Similar to part (a), we need to verify additivity and homogeneity for T to be a linear transformation.

T(x, y) = (1 + x, y) satisfies both conditions. It preserves addition since T(x₁ + x₂, y₁ + y₂) = (1 + (x₁ + x₂), y₁ + y₂) = (1 + x₁, y₁) + (1 + x₂, y₂) = T(x₁, y₁) + T(x₂, y₂). It also preserves scalar multiplication since T(c⋅x, c⋅y) = (1 + c⋅x, c⋅y) = c⋅(1 + x, y) = c⋅T(x, y). Therefore, T is a linear transformation.

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In November, the average temperature at the North Pole is -8.3°F. In December, the average temperature is 7.7°F colder than November's average temperature. In January, the average temperature is 1 1/4 times colder than December's average temperature.What is the average temperature at the North Pole in December?Let's determine the average temperature in December by subtracting 7.7°F from November's average temperature:

November's average temperature = -8.3°F December's average temperature = November's average temperature - 7.7°F December's average temperature = -8.3°F - 7.7°F December's average temperature = -16°F Therefore, the average temperature at the North Pole in December is -16°F.What is the average temperature at the North Pole in January?Let's find out the average temperature in January by multiplying the average temperature in December by 1 1/4: December's average temperature = -16°F January's average temperature = December's average temperature x 1 1/4 January's average temperature = -16°F x 1 1/4 January's average temperature = -20°F Therefore, the average temperature at the North Pole in January is -20°F.

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The surface area of the cylindrical vase is approximately: 178.2 square inches.

To find the surface area of the cylindrical vase, we need to calculate the area of the curved surface (lateral area) and the area of the two bases.

Given:

Diameter = 4.3 inches

Radius = Diameter / 2 = 4.3 inches / 2 = 2.15 inches

Height = 11 inches

The lateral area of a cylinder is given by the formula: Lateral Area = 2πrh, where r is the radius and h is the height.

Lateral Area = 2 * 3.14159 * 2.15 inches * 11 inches = 149.17934 square inches

The area of a circle (base) is given by the formula: Base Area = πr^2.

Base Area = 3.14159 * (2.15 inches)^2 = 14.52222 square inches

The total surface area is the sum of the lateral area and the two base areas.

Surface Area = Lateral Area + 2 * Base Area

= 149.17934 square inches + 2 * 14.52222 square inches

≈ 178.2 square inches

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The x-values π/2, π, 3π/2, and 2π on the x-axis.

We have the function,

y = -6 sin (6/5)x + 6

The period of the sine function is 2π. This means one complete cycle occurs from 0 to 2π.

The amplitude of the function is 6, which represents the distance from the centerline (y = 6) to the maximum and minimum points.

Maximum value: y = 6 + 6 = 12

Minimum value: y = 6 - 6 = 0

The x-intercepts occur when y = 0.

Solve the equation -6sin(x) + 6 = 0 for x.

-6sin(x) = -6

sin(x) = 1

So, The x-values for which sin(x) = 1 are π/2 and 3π/2.

Then, an appropriate scale for the x-axis, such as intervals of π/2 or π/4.

Mark the x-values π/2, π, 3π/2, and 2π on the x-axis.

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a) To find t0.005 when v = 6, we need to look up the value in a t-distribution table with a two-tailed area of 0.005 and 6 degrees of freedom. From the table, we find that t0.005 = -3.707.

b) To find t0.025 when v = 11, we need to look up the value in a t-distribution table with a two-tailed area of 0.025 and 11 degrees of freedom. From the table, we find that t0.025 = -2.201.

c) To find t0.99 when v = 18, we need to look up the value with a one-tailed area of 0.99 and 18 degrees of freedom. From the table, we find that t0.99 = 2.878. Note that we only look up one-tailed area since we are interested in the value in the upper tail of the distribution.

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The critical angle for light traveling from plastic to air is approximately 42.16 degrees.

The critical angle is the angle of incidence at which the refracted angle of light is 90 degrees, i.e., the angle of refraction is 90 degrees, and the refracted ray travels parallel to the interface between two media.

The critical angle can be calculated using Snell's Law, which relates the angles of incidence and refraction to the indices of refraction of the two media:

n1 * sin(theta1) = n2 * sin(theta2)

where n1 and n2 are the indices of refraction of the first and second media, respectively, and theta1 and theta2 are the angles of incidence and refraction, respectively.

When the angle of incidence is equal to or greater than the critical angle, there is no refracted ray, and all of the light is reflected internally.

To find the critical angle in this case, we can set the angle of refraction to 90 degrees:

n1 * sin(theta1) = n2 * sin(90)

n1 * sin(theta1) = n2

Substituting the values given:

1.50 * sin(theta1) = 1.00

sin(theta1) = 1.00 / 1.50

sin(theta1) = 0.6667

We can use the inverse sine function[tex](sin^-1)[/tex]to find the angle:

[tex]theta1 = sin^-1(0.6667)[/tex]

theta1 = 42.16 degrees

Therefore, the critical angle for light traveling from plastic to air is approximately 42.16 degrees.

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The critical angle is the angle of incidence at which the refracted angle of light is 90 degrees, causing the light to reflect back into the medium it originated from.

To calculate the critical angle, we use Snell's law, which states that the ratio of the sine of the angle of incidence to the sine of the angle of refraction is equal to the ratio of the refractive indices of the two media.
In this case, the refractive index of plastic is 1.50, and the refractive index of air is 1.00. We want to find the critical angle when light travels from plastic to air. We can set the angle of refraction to 90 degrees, and solve for the angle of incidence.

Snell's Law states that n1 * sin(theta1) = n2 * sin(theta2), where theta1 is the angle of incidence and theta2 is the angle of refraction. At the critical angle, the refracted light will travel parallel to the boundary, meaning that theta2 = 90 degrees.

So, we can modify Snell's Law for this specific case: n1 * sin(theta1) = n2 * sin(90). Since sin(90) = 1, the equation becomes n1 * sin(theta1) = n2.

Now we can solve for theta1:

sin(theta1) = n2 / n1
sin(theta1) = 1.00 / 1.50
sin(theta1) = 0.6667

Now, to find the critical angle, theta1, take the inverse sine (arcsin) of 0.6667:

theta1 = arcsin(0.6667)
theta1 ≈ 41.8 degrees
Therefore, the critical angle for light traveling from plastic to air is 41.8 degrees. If the angle of incidence is greater than 41.8 degrees, the light will be reflected back into the plastic. If the angle of incidence is less than 41.8 degrees, the light will be refracted out of the plastic and into the air.
So, the critical angle, theta1, for light traveling from plastic to air is approximately 41.8 degrees.

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We use integration by parts with the formula:

∫u dv = uv - ∫v du

In this case, we choose:

u = ln(x), dv = x^4 dx

Then we have:

du = (1/x) dx

v = ∫x^4 dx = (1/5)x^5 + C

where C is the constant of integration.

Using the formula, we get:

∫x^4 ln(x) dx = u v - ∫v du

= ln(x) [(1/5)x^5 + C] - ∫[(1/5)x^5 + C] (1/x) dx

= ln(x) [(1/5)x^5 + C] - (1/25)x^5 - C ln(x) + C

= (1/5)ln(x) x^5 - (1/25)x^5 + C

Therefore, the integral of x^4 ln(x) dx is (1/5)ln(x) x^5 - (1/25)x^5 + C.

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The answer is b. 10 hours.

The bag contains 1000 mL of fluid (1 liter = 1000 mL). At a rate of 100 mL/hr, the bag will infuse 100 mL every hour. To determine how long the bag will last, we need to divide the total volume of fluid by the infusion rate:
1000 mL ÷ 100 mL/hr = 10 hours
Therefore, the bag of fluid will last for 10 hours at a rate of 100 mL/hr.

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The frequency for the data values from 8 - 10 is 3. Option D

The frequency (f) of a particular value is the number of times the value occurs in the data.

The distribution of a variable is the pattern of frequencies simply refers to set of all values and the frequencies related to these values.

Frequency distribution gives the information of the number of occurrences of the different values that are distributed within a given time interval.

From the information given, we have that;

5, 3, 8, 4, 2, 5, 6, 2, 7, 4, 9, 10, 3

The frequency for the data values from 8 - 10

8, 9, 10 is 3

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Answer: A number line is a line in which numbers are marked at an equal distance from each other, either horizontally or vertically. The numbers on the right side of the line are positive numbers. Positive numbers are numbers that are greater than zero. Positive numbers include both whole numbers and decimals greater than zero.

A number line is an effective tool for visualizing and ordering positive numbers. On a number line, positive numbers are represented to the right of zero, and they increase in value as you move farther to the right. For instance, the number 2 is to the right of the number 1, and the number 10 is farther to the right than the number 2. Similarly, 3.5 is a larger number than 2.5. Hence, the answer is: Draw a number line and mark all positive numbers on it.

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Answer: The options for which the extreme value theorem guarantees the existence of an absolute maximum and minimum are b, c, and d.

Step-by-step explanation:

The extreme value theorem guarantees the existence of an absolute maximum and minimum on a closed and bounded interval. Let's check each function given in the options:a. f(x) = ln(1-x) over [0, 2]

The function f(x) is not defined for x >= 1, which means the interval [0, 2] is not closed. Therefore, the extreme value theorem does not apply to this function on this interval.b. g(x) = ln(1+x) over [0, 2]

The function g(x) is defined on the closed and bounded interval [0, 2]. Also, g(x) is continuous on this interval, which means the extreme value theorem applies. Therefore, there exist an absolute maximum and minimum on this interval.c. h(x) = x-1 over [1, 4]

The function h(x) is defined on the closed and bounded interval [1, 4]. Also, h(x) is continuous on this interval, which means the extreme value theorem applies. Therefore, there exist an absolute maximum and minimum on this interval.d. k(x) = x-1/ x over [1, 4]

The function k(x) is defined and continuous on the closed and bounded interval [1, 4], which means the extreme value theorem applies. Therefore, there exist an absolute maximum and minimum on this interval.

Therefore, the options for which the extreme value theorem guarantees the existence of an absolute maximum and minimum are b, c, and d.

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by mathematical induction, we have proved that n^2 + 9n + 27 is odd for all natural numbers n.

We can prove this by mathematical induction.

Base case: When n = 1, n^2 + 9n + 27 = 1^2 + 9(1) + 27 = 37, which is an odd number.

Induction hypothesis: Assume that n^2 + 9n + 27 is odd for some natural number k.

Inductive step: We want to prove that (k+1)^2 + 9(k+1) + 27 is odd.

Expanding the expression, we get:

(k+1)^2 + 9(k+1) + 27 = k^2 + 11k + 37

Since we assumed that n^2 + 9n + 27 is odd for some natural number k, we can express it as 2m+1, where m is a non-negative integer.

Substituting this in the above expression, we get:

k^2 + 11k + 37 = (2m+1)^2 + 11(2m+1) + 37

= 4m^2 + 4m + 1 + 22m + 11 + 37

= 4m^2 + 26m + 49

= 2(2m^2 + 13m + 24) + 1

Since 2m^2 + 13m + 24 is an integer, we can see that k^2 + 11k + 37 is odd.

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Answer:

n = 322

Step-by-step explanation:

n/7 + 12 = 58

Subtract 12 from each side

n/7 = 58-12

n/7 = 46

Multiply each side by 7

n= 46*7

n = 322

In a case whereby PQ←→ is constructed by making arcs centered at A and B without changing the compass width the equation that is not necessarily true is PQ = AB

PQ can be seen as the Perpendicular Bisector of Line Segment AB. However the Perpendicular Bisector of any line segment  is possible through the use of by  compass and expand it more than half,  then place the nib of compass  and mark arc on both side of line segment from both the ends of Segment.

However the PQ=AB, the length of two segments may be equal, is false Statement about the perpendicular bisector PQ.

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complete question;

PQ←→ is constructed by making arcs centered at A and B without changing the compass width. Which equation is not necessarily true?

PQ = AB

AP = PB

AQ = BQ

AR = RB

The x-coordinate of the local minimum of g(x) is x = 32/35.

To find the local minima of g(x), we need to find the critical points where the derivative of g(x) is zero or undefined.

g(x) = 7x^5 - 8x^4 + 2

g'(x) = 35x^4 - 32x^3

Setting g'(x) = 0, we get:

35x^4 - 32x^3 = 0

x^3(35x - 32) = 0

This gives us two critical points: x = 0 and x = 32/35.

To determine which of these critical points correspond to a local minimum, we need to examine the second derivative of g(x).

g''(x) = 140x^3 - 96x^2

Substituting x = 0 into g''(x), we get:

g''(0) = 0 - 0 = 0

This tells us that x = 0 is a point of inflection, not a local minimum.

Substituting x = 32/35 into g''(x), we get:

g''(32/35) = 140(32/35)^3 - 96(32/35)^2

g''(32/35) ≈ 60.369

Since the second derivative is positive at x = 32/35, this tells us that x = 32/35 is a local minimum of g(x).

Therefore, the x-coordinate of the local minimum of g(x) is x = 32/35.

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Answer:

72

Step-by-step explanation:

(2^3)=8

(3^2)=9

8*9=72

A baker purchased 14 lb of wheat flour and 11 lb of rye flour for a total cost of 13.75 dollars. A second purchase, at the same prices, included 12 lb of wheat flour and 13 lb of rye flour.

The cost of the second purchase was 13.75 dollars. We need to find the cost per pound of wheat flour and of the rye flour. Let x and y be the cost per pound of wheat flour and rye flour, respectively. According to the given conditions, we have the following system of equations:14x + 11y = 13.75 (1)12x + 13y = 13.75 (2)Using elimination method, we can find the value of x and y as follows:

Multiplying equation (1) by 13 and equation (2) by 11, we get:182x + 143y = 178.75 (3)132x + 143y = 151.25 (4)Subtracting equation (4) from equation (3), we get:50x = - 27.5=> x = - 27.5/50= - 0.55 centsTherefore, the cost per pound of wheat flour is 55 cents.

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