One of the angles of a rhombus is 120°. If the shorter diagonal has a length of 2, what is the area? *

1 point

1√3

2√3

3

4√3

The function f(x) = (x + 3) / ((x - 4)(x + 3)) has a hole at x = -3, where it is undefined due to division by zero. The function is defined for all other values of x.

To determine the location of the hole in the function, we need to identify the value of x where the function is undefined. In this case, the function has a factor of (x + 3) in both the numerator and the denominator. This means that the function is undefined when (x + 3) is equal to zero, as dividing by zero is not possible.

To find the value of x that makes (x + 3) equal to zero, we set (x + 3) = 0 and solve for x:

x + 3 = 0

x = -3

Therefore, the function f(x) has a hole at x = -3. At this point, the function is undefined, as dividing by zero is not allowed. The function is defined for all other values of x except x = -3.

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The values of x, y and z that correspond to the critical point of the function f(x,y) 4x2 + 7x + 6y + 2y are  (-7/8, -3/2).

To find the values of x, y, and z that correspond to the critical point of the function f(x, y) = 4x^2 + 7x + 6y + 2y^2, we need to find the partial derivatives with respect to x and y, and then solve for when these partial derivatives are equal to 0.

Step 1: Find the partial derivatives
∂f/∂x = 8x + 7
∂f/∂y = 6 + 4y

Step 2: Set the partial derivatives equal to 0 and solve for x and y
8x + 7 = 0 => x = -7/8
6 + 4y = 0 => y = -3/2

Now, we need to find the value of z using the given equation c = za. Since we do not have any information about c, we cannot determine the value of z. However, we now know the critical point coordinates for the function are (-7/8, -3/2).

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The dimensions that require the minimum amount of material for the open-top box are:

Length = 8 inches, Width = 8 inches, Height = 4 inches.

To find the dimensions that minimize the amount of material needed, we can approach the problem by using calculus and optimization techniques. Let's denote the length of the square bottom as "x" inches and the height of the box as "h" inches. Since the volume of the box is given as 256 cubic inches, we have the equation:

Volume = Length × Width × Height = x² × h = 256.

To minimize the material used, we need to minimize the surface area of the box. The surface area consists of the bottom area (x²) and the combined areas of the four sides (4xh). Therefore, the total surface area (A) is given by the equation:

A = x² + 4xh.

We can solve for h in terms of x using the volume equation:

h = 256 / (x²).

Substituting this expression for h in terms of x into the surface area equation, we get:

A = x² + 4x(256 / (x²)).

Simplifying further, we obtain:

A = x² + 1024 / x.

To minimize A, we take the derivative of A with respect to x, set it equal to zero, and solve for x:

dA/dx = 2x - 1024 / x² = 0.

Solving this equation yields x = 8 inches. Plugging this value back into the equation for h, we find h = 4 inches.

Therefore, the dimensions that require the minimum amount of material are: Length = 8 inches, Width = 8 inches, and Height = 4 inches.

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Answer: log((4x/y))/log3

GIVEN     log3(4x/y)

simpifying this expression using the properties of logarithm,

log3(4x/y)=log3(4x)-log3(y)

now simplifing each term ,

using change of base formula

1) log3(4x)=log(4x)/log(3)

2) log3(y)=log(y)/log(3)

putting it all together,

log(4x/y)=log(4x)/log(3) -log(y)/log(3)

log(4x/y)=log((4x/y))/log3

Answer:

7/24

Step-by-step explanation:

Total people in the studio = 24

3/8 are lifting weights
==> Number of people lifting weights  = 3/8 x 24 = 9

1/3 are cross training
==> Number of people cross training = 1/3 x 24 = 8

Therefore the remaining people who are running = 24 - (9 +8)

= 24 - 17

= 7

As a fraction of the total people, this would be

7/24

The eigenvalues of the coefficient matrix a(t) are 5,1,-1.

To find the eigenvalues of the coefficient matrix, we need to first form the coefficient matrix A by taking the partial derivatives of the given system of differential equations with respect to x, y, and z. This gives us:

A = [y, x, -1; 0, 5, 0; 0, 1, -1]

Next, we need to find the characteristic equation of A, which is given by:

det(A - λI) = 0

where I is the identity matrix and λ is the eigenvalue we are trying to find.

We can expand this determinant to get:

(λ - 5)(λ - 1)(λ + 1) = 0

Therefore, the eigenvalues of the coefficient matrix are λ = 5, λ = 1, and λ = -1.

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Answer:

ratio of Perimeters:1:6

Ratio of areas:1:36

Step-by-step explanation:

definition of similarity

Therefore, there are about 203 pennies in the bag. This is a 90-word long answer. If you need to provide a 250-word answer, you can expand the explanation by discussing the weight and denomination of pennies, their history, and their use.

To find out the number of pennies in a bag that weighs 711.55 grams, we need to divide the total weight by the weight of each penny. We know that each penny weighs 3.5 grams,

therefore: Number of pennies = Total weight of bag / Weight of one penny= 711.55 / 3.5 = 203.015 ≈ 203 (rounded to the nearest whole number)

Therefore, there are about 203 pennies in the bag. To summarize the answer in a long answer format, we can write: We can find the number of pennies in the bag by dividing the total weight of the bag by the weight of each penny. Given that each penny weighs 3.5 grams, we can find out the number of pennies by dividing 711.55 grams by 3.5 grams.

Therefore, Number of pennies = Total weight of bag / Weight of one penny= 711.55 / 3.5 = 203.015 ≈ 203 (rounded to the nearest whole number)

Therefore, there are about 203 pennies in the bag. This is a 90-word long answer. If you need to provide a 250-word answer, you can expand the explanation by discussing the weight and denomination of pennies, their history, and their use.

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Mary needs 4 7/12 feet of string for the 5 necklaces. The answer is option B.

To find how many feet of string Mary needs for 5 necklaces, we can multiply the length of string needed for each necklace by the number of necklaces.

Length of string needed for each necklace = 11/12 feet

Number of necklaces = 5

Total length of string needed = (Length of string needed for each necklace) * (Number of necklaces)

Total length of string needed = (11/12) * 5

Total length of string needed = 55/12 feet

To simplify the fraction, we can convert it to a mixed number:

Total length of string needed = 4 7/12 feet

Therefore, Mary needs 4 7/12 feet of string for the 5 necklaces. The answer is option B.

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The answer is , to represent this situation in a bar model, we can use a Clear frame model.

To show the situation where Kyle spends a total of $44 for four sweatshirts, with each sweatshirt costing the same amount of money, the bar model that can be used is a Clear frame model.

Here's an explanation of the solution:

Given, that Kyle spends a total of $44 for four sweatshirts and each sweatshirt costs the same amount of money.

To find how much each sweatshirt costs, divide the total amount spent by the number of sweatshirts.

So, the amount that each sweatshirt costs is:

[tex]\frac{44}{4}[/tex] = $11

Thus, each sweatshirt costs $11.

To represent this situation in a bar model, we can use a Clear frame model.

A Clear frame model is a bar model in which the total is shown in a separate section or box, and the bars are used to represent the parts of the whole.

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An order of complexity that is worse than polynomial is called quadratic is B. False.
An order of complexity that is worse than polynomial is not called quadratic.

A polynomial function is a function that can be expressed as the sum of finite terms, where each term is a constant multiplied by a variable raised to a non-negative integer power.

A quadratic function is a type of polynomial function of degree 2, meaning the highest power of the variable is 2. The order of complexity of an algorithm is a measure of the amount of time or space required by the algorithm to solve a problem, expressed in terms of the input size of the problem.

An algorithm with a polynomial time complexity has an execution time that grows at most as a polynomial function of the input size.

An algorithm with an exponential time complexity has an execution time that grows exponentially with the input size, and an algorithm with a factorial time complexity has an execution time that grows as a factorial of the input size.

Therefore, an order of complexity that is worse than polynomial is usually referred to as exponential or factorial complexity, not quadratic. Understanding the order of complexity of an algorithm helps us understand how well an algorithm will scale as the input size grows.

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The statement is True.

A test statistic value of 2.14 puts it in the rejection region, which means that if the null hypothesis is true, the probability of obtaining a test statistic as extreme as 2.14 or more extreme is less than the significance level of the test. Therefore, we reject the null hypothesis at the given significance level.

If the test statistic is actually 2.19, which is more extreme than 2.14, then the probability of obtaining a test statistic as extreme as 2.19 or more extreme under the null hypothesis is even smaller than the probability corresponding to a test statistic of 2.14.

This means that the p-value for the test is even smaller than the significance level, and we reject the null hypothesis with even greater confidence.

In other words, if the test statistic is more extreme than the critical value, the p-value is smaller than the significance level, and we reject the null hypothesis at the given significance level with greater confidence.

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To express the ratio of 4 birr to 16 cents as a fraction in its lowest terms, we need to convert the currencies to a common unit.

1 birr is equal to 100 cents, so 4 birr is equal to 4 * 100 = 400 cents.

Now we have the ratio of 400 cents to 16 cents, which can be simplified by dividing both the numerator and denominator by their greatest common divisor (GCD), which in this case is 8.

400 cents ÷ 8 = 50 cents

16 cents ÷ 8 = 2 cents

Therefore, the ratio 4 birr to 16 cents expressed as a fraction in its lowest terms is:

50 cents : 2 cents

Simplifying further:

50 cents ÷ 2 = 25

2 cents ÷ 2 = 1

The fraction in its lowest terms is:

25 : 1

So, the ratio 4 birr to 16 cents is equivalent to the fraction 25/1.

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In triangle ΔGHI, with ∠I measuring 90° and ∠G measuring 82°, and GH measuring 3.4 feet, the length of HI is 24.2 feet.

To find the length of HI, we can use the trigonometric function tangent (tan). In a right triangle, the tangent of an angle is equal to the ratio of the length of the side opposite the angle to the length of the side adjacent to it. In this case, the side opposite ∠G is HI, and the side adjacent to ∠G is GH. Therefore, we can set up the equation: tan(82°) = HI / GH.

Rearranging the equation to solve for HI, we have: HI = GH * tan(82°). Plugging in the given values, we get: HI = 3.4 * tan(82°). Using a calculator, we find that tan(82°) is approximately 7.115. Multiplying 3.4 by 7.115, we find that HI is approximately 24.161 feet. Rounded to the nearest tenth of a foot, the length of HI is 24.2 feet.

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We have already found the eigenvalues and eigenvectors, so we can construct D and P as follows:

D = | 0 0 0 |

| 0 4 0 |

| 0 0 1 |

P = | 1/2 1/2 1 |

|-1/2

To check if a matrix is diagonalizable, we need to verify if it has a full set of linearly independent eigenvectors.

Let's start by finding the eigenvalues of the matrix. We solve for the characteristic polynomial:

det(A - λI) = 0

where A is the matrix and I is the identity matrix.

We have:

| -λ 0 1 |

| 4 -λ 2 |

| -2 -2 3-λ |

Expanding along the first column, we get:

-λ[(-λ)(3-λ) + 4(2)] - 0 + 1[-2(-2)] = 0

-λ^3 + 3λ^2 - 8λ = 0

Factorizing, we get:

-λ(λ - 4)(λ - 1) = 0

So the eigenvalues are λ1 = 0, λ2 = 4, and λ3 = 1.

Next, we need to find the eigenvectors for each eigenvalue. We solve the equation:

(A - λI)x = 0

where x is the eigenvector.

For λ1 = 0, we have:

| 0 0 1 |

| 4 0 2 |

|-2 -2 3 |

Reducing to row echelon form, we get:

| 1 0 -1/2 |

| 0 1 1/2 |

| 0 0 0 |

So the eigenvector corresponding to λ1 = 0 is:

x1 = (1/2, -1/2, 1)

For λ2 = 4, we have:

| -4 0 1 |

| 4 -4 2 |

| -2 -2 -1 |

Reducing to row echelon form, we get:

| 1 0 -1/2 |

| 0 1 -1/2 |

| 0 0 0 |

So the eigenvector corresponding to λ2 = 4 is:

x2 = (1/2, 1/2, 1)

For λ3 = 1, we have:

| -1 0 1 |

| 4 -1 2 |

| -2 -2 2 |

Reducing to row echelon form, we get:

| 1 0 -1 |

| 0 1 0 |

| 0 0 0 |

So the eigenvector corresponding to λ3 = 1 is:

x3 = (1, 0, 1)

We have found three linearly independent eigenvectors, which form a basis for R^3, the space in which this matrix acts. Since the matrix is a 3x3 matrix, and we have found a set of three linearly independent eigenvectors, we can conclude that the matrix is diagonalizable.

Now, to diagonalize the matrix, we need to construct a diagonal matrix D and a matrix P such that A = PDP^-1, where D contains the eigenvalues on the diagonal and P contains the eigenvectors as columns.

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Let x be the number of batches Amanda must sell each month in order to make a profit.

The total cost that Amanda incurs to produce x batches of cupcakes in a month is:

Total cost = cost of each batch × number of batches= $5.00x

The total revenue that Amanda generates by selling x batches of cupcakes in a month is:

Total revenue = price of each batch × number of batches= $20.00x

To make a profit, Amanda's total revenue must be greater than her total costs.

Thus, we can write the inequality:

Total revenue > Total cost

$20.00x > $5.00x + $1,500

Simplifying the inequality,

we get:

$15.00x > $1,500

Dividing both sides by $15.00,

we get

x > 100

Therefore, Amanda must sell more than 100 batches of cupcakes each month to make a profit.

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The given limit can be expressed as the definite integral:

∫[0 to 1] 3x^8 dx

To express the limit as a definite integral, we can use the definition of a Riemann sum. Let's consider the function f(x) = x^8.

The given limit can be rewritten as:

lim(n→∞) Σ[i=1 to n] (3i^8 / n^9)

Now, let's express this limit as a definite integral. We can approximate the sum using equal subintervals of width Δx = 1/n. The value of i can be replaced with x = iΔx = i/n. The summation then becomes:

lim(n→∞) Σ[i=1 to n] (3(i/n)^8 / n^9)

This can be further simplified as:

lim(n→∞) (1/n) Σ[i=1 to n] (3(i/n)^8 / n)

Taking the limit as n approaches infinity, the sum can be written as:

lim(n→∞) (1/n) ∑[i=1 to n] (3(i/n)^8 / n) ≈ ∫[0 to 1] 3x^8 dx

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The Taylor polynomial T2 centered at a = 0 for f(x) = 13 tan(x) is T2(x) = 13x, and the Taylor polynomial T3 centered at a = 0 is T3(x) = 13x + (26/3)x³.

To calculate the Taylor polynomials T2 and T3 centered at a = 0 for the function f(x) = 13 tan(x), we need to find the first few derivatives of f(x) and then evaluate them at a = 0.

1. Find the first few derivatives:
f'(x) = 13 sec²(x)
f''(x) = 26 sec²(x)tan(x)
f'''(x) = 26 sec²(x)(tan^2(x) + 2)

2. Evaluate derivatives at a = 0:
f(0) = 13 tan(0) = 0
f'(0) = 13 sec²(0) = 13
f''(0) = 26 sec²(0)tan(0) = 0
f'''(0) = 26 sec²(0)(tan²(0) + 2) = 52

3. Form the Taylor polynomials:
T2(x) = f(0) + f'(0)x + (1/2)f''(0)x² = 0 + 13x + 0 = 13x
T3(x) = T2(x) + (1/6)f'''(0)x³ = 13x + (1/6)(52)x³ = 13x + (26/3)x³

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Answer: To show that the curve passes through a point, we need to find a value of t that makes the parametric equations satisfy the coordinates of the point.

Let's first check if the curve passes through the point (1, 4, 0):

x = t^2, so when x = 1, we have t = ±1.

y = 1 - 3t, so when t = 1, we have y = -2.

z = 1 + t^3, so when t = 1, we have z = 2.

Therefore, the curve passes through the point (1, 4, 0).

Next, let's check if the curve passes through the point (9, -8, 28):

x = t^2, so when x = 9, we have t = ±3.

y = 1 - 3t, so when t = -3, we have y = 10.

z = 1 + t^3, so when t = 3, we have z = 28.

Therefore, the curve passes through the point (9, -8, 28).

Finally, let's check if the curve passes through the point (4, 7, -6):

x = t^2, so when x = 4, we have t = ±2.

y = 1 - 3t, so when t = 2, we have y = -5.

z = 1 + t^3, so when t = 2, we have z = 9.

Therefore, the curve does not pass through the point (4, 7, -6).

Hence, we have shown that the curve passes through the points (1, 4, 0) and (9, -8, 28) but not through the point (4, 7, -6).

The randomized min cut algorithm works by repeatedly contracting two randomly selected edges until only two vertices remain. We can expect the algorithm to perform approximately 2 contractions before terminating.

At this point, the algorithm terminates and returns the number of remaining edges as the min cut. In the worst case, the algorithm may require 100-2=98 contractions to reach this point. However, in practice, the algorithm may require fewer contractions due to the random nature of edge selection. The probability of selecting a specific edge in any given contraction is 1/499, since there are 499 edges remaining after each contraction. Therefore, the expected number of contractions required to reach the min cut is:
(499/500)^1 * (498/499)^1 * ... * (3/4)^1 * (2/3)^1 * (1/2)^1
This product is equal to 2 * (499/500), which is approximately equal to 1.996.  

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The graph along the coordinate plane is attached below

To find the graph of the points along the coordinate plane, we simply need to use a graphing calculator to plot the points M - N, N - P, P - Q, Q - R and R - M.

These individual points in this coordinates cannot form a quadrilateral on the plane.

The total perimeter or distance of the plane cannot be calculated by simply adding up all the points along the line.

However, these lines seem not to intersect at any point as they travel across the plane in different directions.

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The correct answer to the question "compute c f · dr for the oriented curve specified. f = 6zy^(-1), 8x, -y , r(t) = et, et, t for -1 ≤ t ≤ 1" is:

c f · dr = 10e - 10/e + 8e^2 - 8/e^2

To compute this line integral, we need to evaluate the integral of f · dr over the given curve. We first parameterize the curve as:

r(t) = et i + et j + t k, for -1 ≤ t ≤ 1

We then compute dr/dt = e^t i + e^t j + k, and f(r(t)) = 6(e^t)^2/t + 8e^t i - j.

Using the dot product formula, f(r(t)) · dr/dt = 6(e^t)^2/t * e^t + 8e^t * e^t - 1, which simplifies to 6e^(2t)/t + 8e^(2t) - 1.

We then integrate this expression with respect to t over the interval [-1, 1] to obtain the line integral:

c f · dr = ∫(from -1 to 1) (6e^(2t)/t + 8e^(2t) - 1) dt

This integral can be evaluated using standard integration techniques, resulting in the answer:

c f · dr = 10e - 10/e + 8e^2 - 8/e^2

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The required answer is a vector in R^5, then we would set b = 5.

To determine the values of a and b in the linear transformation defined by T(x) = Ax, we need to consider the dimensions of the matrix A and the vector x.

We know that A is an 8x9 matrix, which means it has 8 rows and 9 columns. We also know that x is a vector in R^a, which means it has a certain number of components or entries.
The matrix A has 8 rows and 9 columns, which means it maps 9-dimensional vector to 8-dimensional vectors .
To ensure that the matrix multiplication Ax is defined and results in a vector in R^b, we need the number of columns in A to be equal to the number of components in x. In other words, we need 9 = a and b will depend on the number of rows in A and the desired output dimension of T(x).

Therefore, a = 9 and b can be any number between 1 and 8, inclusive, depending on the desired output dimension of T(x). For example,

if we want T(x) to output a vector in R^5, then we would set b = 5.

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If Dave plans to use 25 pounds of tomatoes for each pizza and he is making a total of 6 pizzas, then the total amount of tomatoes he needs can be calculated by multiplying the amount per pizza by the number of pizzas:

25 pounds/pizza * 6 pizzas = 150 pounds

Therefore, Dave needs a total of 150 pounds of tomatoes.

The whole numbers falling between which this amount of tomatoes falls can be determined by considering the next smaller and next larger whole numbers.

The next smaller whole number is 149 pounds, and the next larger whole number is 151 pounds.

So, the number of pounds of tomatoes Dave needs falls between 149 and 151 pounds.

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The Virginia Company paid $7,500 in cash for manufacturing overhead costs, which refers to indirect expenses incurred in the production process.

Examples of manufacturing overhead costs include rent, utilities, insurance, and maintenance expenses.

By paying for these expenses, the Virginia Company was able to keep their manufacturing operations running smoothly and efficiently.

This transaction would likely be recorded in the company's financial records as a debit to manufacturing overhead and a credit to cash.

Ultimately, the payment of manufacturing overhead costs helps to ensure that the company can produce goods at a reasonable cost while maintaining high quality standards, which is essential for long-term success in the competitive marketplace.

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The average deviation from the mean width of 31.19 cm is 0.1725 cm. This means that, on average, the data points are about 0.1725 cm away from the mean width.

The average deviation of a data set is a measure of how spread out the data is from its mean.

It is calculated by finding the absolute value of the difference between each data point and the mean, then taking the average of these differences.

In this problem, we are given a set of deviations from the mean width of 31.19 cm.

The deviations are:

31.5, 0.086 cm, 0.25, -0.01

The average deviation, we need to calculate the absolute value of each deviation, then their average.

We can use the formula:

average deviation = (|d1| + |d2| + ... + |dn|) / n

d1, d2, ..., dn are the deviations and n is the number of deviations.

Using this formula and the given deviations, we get:

average deviation = (|31.5 - 31.19| + |0.086| + |0.25| + |-0.01|) / 4

= (0.31 + 0.086 + 0.25 + 0.01) / 4

= 0.1725 cm

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The average deviation from the mean width of 31.19 cm is 20.42 cm. This tells us that the data points are spread out from the mean by an average of 20.42 cm, which is a relatively large deviation for a dataset with a mean of 31.19 cm.

In statistics, deviation refers to the amount by which a data point differs from the mean of a dataset. The average deviation is a measure of the average distance between each data point and the mean of the dataset. To calculate the average deviation, we first need to calculate the deviation of each data point from the mean.

In this case, we have the mean width x as 31.19 cm and the deviations of the data points as 0.5 cm and -0.086 cm. To calculate the deviation, we subtract the mean from each data point:

Deviation of 31.5 cm = 31.5 - 31.19 = 0.31 cm

Deviation of 0.5 cm = 0.5 - 31.19 = -30.69 cm

Deviation of -0.086 cm = -0.086 - 31.19 = -31.276 cm

Next, we take the absolute value of each deviation to eliminate the negative signs, as we are interested in the distance from the mean, not the direction. The absolute deviations are:

Absolute deviation of 31.5 cm = 0.31 cm

Absolute deviation of 0.5 cm = 30.69 cm

Absolute deviation of -0.086 cm = 31.276 cm

The average deviation is calculated by summing the absolute deviations and dividing by the number of data points:

Average deviation = (0.31 + 30.69 + 31.276) / 3 = 20.42 cm

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The probability that the mean repair time is less than 8.9 hours is 0.6103 (or 61.03%).

Given information: Mean repair time is 8.4 hours and Standard deviation is 1.8 hours

To find: Probability that the mean repair time is less than 8.9 hoursZ score can be calculated using the formula;

Z = (X - μ) / σWhere,

Z = z score

X = Value for which we need to find the probability (8.9 hours)

μ = Mean (8.4 hours)

σ = Standard deviation (1.8 hours)

Substituting the values in the above formula;

Z = (8.9 - 8.4) / 1.8Z = 0.28

Probability for z-score of 0.28 can be found from z table.

The value from the table is 0.6103

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The interval of hours for which Juan is closer to the stadium than Rajani is t < 6, which means within the first 6 hours after noon.

To graph the functions representing Juan's and Rajani's distances from the stadium, we can use the equations:

J(t) = 260 - 30t (Juan's distance from the stadium)

R(t) = 380 - 50t (Rajani's distance from the stadium)

The functions represent the distance remaining (in miles) as a function of time (in hours) afternoon.

To determine the interval of hours for which Juan is closer to the stadium than Rajani, we need to find the values of t where J(t) < R(t).

Let's solve the inequality:

260 - 30t < 380 - 50t

-30t + 50t < 380 - 260

20t < 120

t < 6

Thus, the inequality shows that for t < 6, Juan is closer to the stadium than Rajani.

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The Difference Quotient can be thought of as the average rate of change of the function f(x) over the interval [x, x+h]. To find the instantaneous rate of change of f(x) at a specific point, we need to take the limit of the Difference Quotient as h approaches zero. This limit will give us the slope of the tangent line to the graph of f(x) at the point x, which is the instantaneous rate of change of the function at that point.

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The approximate length of the apothem is 20.1 cm.

The apothem of a polygon is the perpendicular distance from the center of the polygon to any of its sides. To determine the approximate length of the apothem, we need to consider the given options: 9.0 cm, 15.6 cm, 20.1 cm, and 25.5 cm.

Since we are asked to round to the nearest tenth, we can eliminate the options of 9.0 cm and 25.5 cm since they don't have tenths. Now, we compare the remaining options, 15.6 cm and 20.1 cm.

To determine the apothem's length, we can use the formula for the apothem of a regular polygon, which is given by:

apothem = side length / (2 * tan(π / number of sides))

By comparing the values, we see that 20.1 cm is closer to 15.6 cm than 20.1 cm is to 25.5 cm. Therefore, we can conclude that the approximate length of the apothem is 20.1 cm, rounding to the nearest tenth.

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