$10,000 is invested at 7% compounded annually. Over the next 25 years, how much of the investment's increase in value represents: a. Earnings strictly on the original $10,000 principal? Total interest earned on original principal b. Earnings on re-invested earnings? (This amount reflects the cumulative effect of compounding.) (Round your answer to the nearest cent.) Earnings on re-invested earnings

Part A: Standard deviation  ≈ 0.039 ; Part B: The probability that the sample proportion will be between 0.17 to 0.20 is 0.9949. ;  Part C: The correct option is (b) ; Part D: The correct option is (E) II and III only.

Part A:
Sampling distribution of the sample proportion:
The name of the distribution is Normal distribution.
The formula for the mean of the distribution of the sample proportion is:
Mean = p = 0.18
The formula for the standard deviation of the distribution of the sample proportion is:
Standard deviation = σp= √((pq)/n) = √((0.18×0.82)/100) ≈ 0.039

Shape:
The shape of the sampling distribution of the sample proportion can be approximated to the normal distribution because np = 100×0.18 = 18 and n(1 - p) = 100×(1-0.18) = 82 > 10.
Hence, the shape is approximately normal.

Part B:
We need to find the probability that the sample proportion will be between 0.17 to 0.20.
To find the probability, we first standardize the given values using the formula:
z = (p - μ) / σp
where p = 0.17, μ = 0.18, and σp = 0.039.
So, z1 = (0.17 - 0.18) / 0.039 ≈ -2.56
z2 = (0.20 - 0.18) / 0.039 ≈ 5.13
Now, we find the probability using the standard normal distribution table as follows:

P(-2.56 < z < 5.13) ≈ P(z < 5.13) - P(z < -2.56)
≈ 1 - 0.0051
≈ 0.9949
Hence, the probability that the sample proportion will be between 0.17 to 0.20 is approximately 0.9949.

Part C:
The correct option is (b) regardless of the shape of the population if the population distribution is symmetrical.
For a sample size n ≥ 16, the sampling distribution of the sample mean will be approximately normally distributed regardless of the shape of the population if the population distribution is symmetrical.

Part D:
The correct option is (E) II and III only.
If a certain population is strongly skewed to the right, using a large sample instead of a small one will make the distribution of our sample data closer to normal and the sampling distribution of the sample means closer to normal. However, the variability of the sample means will be lesser, not greater.

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Therefore, the value of x1 and x2 are 11/3 and 374/121 respectively.

The given equation is,

1³-3x²-6 = 0

and the initial value is

x0=1

Newton's method is a way to find better approximations to the roots (or zeroes) of a real-valued function. Let's take the initial guess as

x0 = 1x1 = x0 - f (x0)/ f'(x0)

Substitute

x0 = 1 in f (x0)

to find

f (1)1³ - 3(1²) - 6 = 1 - 3 - 6 = -8f' (x) = 3x²

Taking

x0 = 1,

we get,

f' (1) = 3x (1²) = 3x1 = x0 - f (x0)/ f'(x0) = 1 - (-8)/ (3(1²))= 1 + 8/3 = 11/3

Now, we will calculate x2, which will be

x1 - f (x1)/ f'(x1).

Substituting

x1 = 11/3, we get f (x1)

as,

1³ - 3(11/3)² - 6 = 1 - 11 - 6 = -16f' (x1) = 3(11/3)² = 121x2 = x1 - f (x1)/ f'(x1) = 11/3 - (-16)/121= 11/3 + 16/121= 374/121.

Therefore, the value of x1 and x2 are 11/3 and 374/121 respectively.

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The equation of a sine function with the given amplitude, period, and phase shift can be determined using the general form: f(x) = A sin(Bx + C), where A represents the amplitude.

B represents the frequency (2π/period), and C represents the phase shift. From the given information, the equation of the sine function would be f(x) = (4/3) sin[(2π/3)x + π/2]. Therefore, the correct option is a) f(x) = 4/3 sin (2x/3 + π/2). To understand why this equation is correct, let's break down the given information:

Amplitude = 4/3: The amplitude represents half the difference between the maximum and minimum values of the function. In this case, it is 4/3, indicating that the maximum value is 4/3 and the minimum value is -4/3.Period = 3n: The period is the length of one complete cycle of the function. Here, it is 3n, which means that the function repeats itself every 3 units along the x-axis. Phase shift = n/2: The phase shift represents a horizontal shift of the function. A positive phase shift indicates a shift to the left, and a negative phase shift indicates a shift to the right. In this case, the phase shift is n/2, indicating a shift to the right by half the period, or 3/2 units.

By plugging these values into the general form of the equation, we get f(x) = (4/3) sin[(2π/3)x + π/2], which matches the given option a). This equation represents a sine function with an amplitude of 4/3, a period of 3n, and a phase shift of n/2.

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The correct Option (b) e³-1 is the sum of the given series.

We can find the answer as follows:

Given, the series is 3+9/27+27/3! 81/4! +.....

Here, the series starts from 3 and the common ratio is 3/27 = 1/9. So, we can say the series is 3(1+(1/9)+(1/9)²+(1/9)³+.....)

This is an infinite geometric progression with the first term as 1 and the common ratio as 1/9.

Thus, we have to apply the formula of the sum of infinite geometric progression to find the sum of the given series.

The formula of the sum of infinite geometric progression is,

S = a / (1-r)

Here,a = first term

a / r = common ratio

So, putting the given values, we get the sum of the given series as:

S = 3 / (1-(1/9))= 3 / (8/9)= 27 / 8

Therefore, the answer to the given question is e³-1

Option (b) e³-1 is the sum of the given series.

Note: Here, we have used the formula for the sum of an infinite geometric series to obtain the answer to the question.

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To find the volume of the solid generated when the region R is revolved about the x-axis, we can use the method of cylindrical shells.

a. Graphing the region R:

To graph the region R, we need to plot the curves y = 2x - x^2 and y = x in the first quadrant. The region R is bounded by these two curves.

b. Volume calculation using cylindrical shells:

To find the volume, we integrate the cylindrical shells along the x-axis.

A typical slice of the region R, perpendicular to the x-axis, will be a vertical strip with height (y-coordinate) equal to the difference between the two curves at a given x-value. The width of the strip will be dx.

Let's denote the variable height of the strip as h(x) and the radius of the cylindrical shell as r(x). The height of the strip will be the difference between the curves: h(x) = (2x - x^2) - x = 2x - x^2 - x = -x^2 + x.

The radius of the cylindrical shell will be the x-value itself: r(x) = x.

The volume of a cylindrical shell is given by the formula: V = 2πrh(x)dx.

Therefore, the volume of the solid generated is:

V = ∫[a,b] 2πrh(x)dx,

where [a,b] is the interval of x-values where the region R lies.

To find the interval [a, b], we need to determine the x-values where the two curves intersect. Setting the equations equal to each other, we get:

2x - x^2 = x,

x^2 - x = 0,

x(x - 1) = 0,

x = 0 or x = 1.

So the interval of integration is [0, 1].

The volume integral becomes:

V = ∫[0,1] 2πr(-x^2 + x)dx.

Evaluate this integral to find the volume of the solid.

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To be 95 percent confident of estimating the true proportion of people drinking the brand within an accuracy of 0.015, the number of individuals that should be surveyed can be calculated using the formula for sample size calculation.

In order to be 95 percent confident of estimating the true proportion of people drinking the brand within an accuracy of 0.015, the number of individuals to be surveyed can be determined using the formula for sample size calculation.

To explain further, the sample size calculation relies on several factors, including the desired confidence level, margin of error, and the estimated proportion. The margin of error is the maximum acceptable difference between the sample estimate and the true population parameter. In this case, the margin of error is given as 0.015.

The formula for calculating the required sample size is:

n = (Z² * p * (1 - p)) / E²

Here, Z is the z-score corresponding to the desired confidence level (in this case, 95 percent confidence corresponds to a z-score of approximately 1.96), p is the estimated proportion (which is unknown), and E is the margin of error.

Since the estimated proportion is unknown, we can assume a conservative estimate of p = 0.5, which maximizes the required sample size. Plugging in the values, the formula becomes:

n = (1.96²* 0.5 * (1 - 0.5)) / 0.015²

Solving this equation yields the required sample size, which would give us a 95 percent confidence level with a margin of error of 0.015 for estimating the true proportion of people drinking the brand.

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(a) Probability that 15 to 20 donors are Rh-negative: Approximately 0.5766.

(b) Probability that more than 80 donors are Rh-positive: Approximately 0.8413.

(a) To find the probability that 15 to 20 donors are Rh-negative, we can use the normal approximation for a binomial random variable. First, we calculate the mean and standard deviation of the binomial distribution using the formula: mean (μ) = n * p and standard deviation (σ) = √(n * p * q). Then, we convert the range of 15 to 20 donors into a standardized Z-score and find the cumulative probability between those Z-scores.

(b) To calculate the probability that more than 80 donors are Rh-positive, we can use the complement rule. We find the probability of fewer than or equal to 14 donors being Rh-negative. We use the mean and standard deviation calculated earlier to find the Z-score for 14 donors. Then, we find the cumulative probability for this Z-score. Finally, we subtract this probability from 1 to obtain the probability of more than 80 donors being Rh-positive.

In summary, the normal approximation allows us to estimate probabilities for binomial distributions. By calculating the mean and standard deviation, we can convert values into Z-scores and find the corresponding probabilities using the standard normal distribution table or calculator.

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1. Unit vector orthogonal to < 0,3,1 > and < 2, 1,0 >A unit vector is a vector of length one. It can be found by dividing any non-zero vector by its magnitude. We need to find the unit vector that is orthogonal to the given vectors.To find a vector that is orthogonal to two vectors, we need to take their cross product. The cross product is only defined for vectors in R3.

Hence, it can be defined for the given vectors.< 0, 3, 1 > × < 2, 1, 0 > = i(3) - j(0) + k(-6) = < 3,-6,0 >The magnitude of the cross product is 3√2. Hence, a unit vector in the direction of < 3,-6,0 > is< 3/3√2, -6/3√2, 0/3√2 > = < √2/2, -√2/√2, 0 > = < √2/2, -1, 0 >Thus, < √2/2, -1, 0 > is a unit vector orthogonal to both < 0,3,1 > and < 2,1,0 >.2. Symmetric equation of the line through (π,7,11) and perpendicular to 2x + 3z = 0A line that passes through the point (π,7,11) and is perpendicular to the plane 2x + 3z = 0 will have its direction vector as the normal vector of the plane. The normal vector of the plane 2x + 3z = 0 is < 2, 0, 3 >. The domain can be sketched as follows:The first condition defines the region below the parabolic cylinder y = x².

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The z-score for P(? ≤ z ≤ ?) = 0.60 is approximately 0.25.

The z-score for P(z ≥ ?) = 0.30 is approximately -0.52.

How to find the Z score

P(Z ≤ z) = 0.60

We can use a standard normal distribution table or a calculator to find that the z-score corresponding to a cumulative probability of 0.60 is approximately 0.25.

Therefore, the z-score for P(? ≤ z ≤ ?) = 0.60 is approximately 0.25.

For the second question:

We want to find the z-score such that the area under the standard normal distribution curve to the right of z is 0.30. In other words:

P(Z ≥ z) = 0.30

Using a standard normal distribution table or calculator, we can find that the z-score corresponding to a cumulative probability of 0.30 is approximately -0.52 (since we want the area to the right of z, we take the negative of the z-score).

Therefore, the z-score for P(z ≥ ?) = 0.30 is approximately -0.52.

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(a) The number of agent arrangements where order is importantSince there are nine sales agents and six new customers, then order is important.

Hence, the number of agent arrangements where order is important can be determined by the formula: nPr = n! / (n - r)!where n = 9 and r = 6Thus, nP6 = 9P6= 9! / (9 - 6)! = 9! / 3!= 9 × 8 × 7 × 6 × 5 × 4 = 54, 720Therefore, the number of agent arrangements where order is important is 54,720.(b) The number of agent arrangements where order is not important Since there are nine sales agents and six new customers, then order is not important.

Thus, the number of agent arrangements where order is not important can be determined by the formula: nCr = n! / r! (n - r)!where n = 9 and r = 6Thus, 9C6 = 9! / (6! (9 - 6)!) = 9! / (6! 3!) = (9 × 8 × 7) / (3 × 2 × 1) = 84Therefore, the number of agent arrangements where order is not important is 84.

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The given linear system is solved using Gaussian elimination. The solution is x₁ = 1, x₂ = -1, and x₃ = 2.

The given linear system consists of three equations with three unknowns. The goal is to find the values of x₁, x₂, and x₃ that satisfy all three equations.

To solve the linear system, we can use various methods such as Gaussian elimination, matrix inversion, or matrix factorization. Let's use Gaussian elimination to find the solution.

First, we can rewrite the system of equations in matrix form as AX = B, where A is the coefficient matrix, X is the vector of unknowns, and B is the vector of constants. The augmented matrix [A|B] for the given system is:

[1  2  3  |  2]

[1  1  2  | -1]

[0  1  2  |  3]

Now, we apply Gaussian elimination to transform the augmented matrix into row-echelon form or reduced row-echelon form. By performing row operations, we can eliminate the coefficients below the main diagonal and obtain an upper triangular matrix. The resulting row-echelon form of the augmented matrix is:

[1  2  3  |  2]

[0 -1 -1  | -3]

[0  0  1  |  2]

From the row-echelon form, we can solve for the unknowns by back substitution. Starting from the last row, we find x₃ = 2. Substituting this value back into the second row, we obtain x₂ = -1. Finally, substituting the values of x₂ and x₃ into the first row, we find x₁ = 1.

Therefore, the solution to the linear system is x₁ = 1, x₂ = -1, and x₃ = 2.

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a) To prove the identity tan(x)cos(x) + cot(x)sin(x) = sin(x) + cos(x), we can rewrite the left side as (sin(x)/cos(x))(cos(x)) + (cos(x)/sin(x))(sin(x)). Simplifying this expression gives sin(x) + cos(x), which is equal to the right side. Therefore, the identity is proven.

b) Starting with the left side of the identity sec²(x) - 1, we can substitute sec²(x) = 1 + tan²(x). This gives us 1 + tan²(x) - 1, which simplifies to tan²(x). On the right side, we have sin²(x) / (1 - sin²(x)). Using the Pythagorean identity sin²(x) + cos²(x) = 1, we can substitute cos²(x) = 1 - sin²(x). Substituting this in the right side yields sin²(x) / cos²(x). Since tan²(x) = sin²(x) / cos²(x), the left side is equal to the right side, proving the identity.

c) Expanding the left side of the identity (sin(x) + cos(x))² gives sin²(x) + 2sin(x)cos(x) + cos²(x). On the right side, we have 2 + sec(x)csc(x) / sec(x)csc(x). Rewriting sec(x) as 1/cos(x) and csc(x) as 1/sin(x), we get 2 + (1/cos(x))(1/sin(x)) / (1/cos(x))(1/sin(x)). Simplifying this expression gives 2 + (sin(x)cos(x)) / (sin(x)cos(x)), which is equal to the left side. Hence, the identity is proven.

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To prove that the lines intersect at right angles, we need to show that the dot product of the two vectors is equal to zero. The two vectors are the direction vectors of the lines.

Let's find the coordinates of point A and B: Coordinates of point A are given as [4, 7, -1] + t[4, 8, -4]. So the x-coordinate of point A is 4 + 4t, the y-coordinate is 7 + 8t, and the z-coordinate is -1 - 4t.

Coordinates of point B are given as [1, 5, 4]+s[-1, 2, 3]. So the x-coordinate of point B is 1 - s, the y-coordinate is 5 + 2s, and the z-coordinate is 4 + 3s.

To find the direction vectors, we subtract the coordinates of point A and point B. So the direction vector of the first line is [4, 8, -4] and the direction vector of the second line is [-1, 2, 3].

Let's now find the dot product of the two direction vectors:[4, 8, -4] · [-1, 2, 3] = (4 × -1) + (8 × 2) + (-4 × 3) = -4 + 16 - 12 = 0Since the dot product is equal to zero, we can conclude that the lines intersect at right angles.

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To compute the value of the expression 4630 mod 9 using modular arithmetic, we divide 4630 by 9 and find the remainder.

When we divide 4630 by 9, we get a quotient of 514 and a remainder of 4. This means that 4630 can be expressed as 9 multiplied by 514, plus the remainder 4.

In modular arithmetic, we are only concerned with the remainder when dividing by a certain number. So, the value of 4630 mod 9 is equal to the remainder 4.

Therefore, the correct answer is A) 2.

It's important to note that in modular arithmetic, we use the modulo operator (mod) to find the remainder. This operator calculates the remainder after division. In this case, when 4630 is divided by 9, the remainder is 4, which is the value we obtain when evaluating 4630 mod 9.

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Answer:

17 inches

Step-by-step explanation:

The given shape is square pyramid.

Given,

Height (H) = 8 in

Base side's length (s) = 30 in

To find : Slant height (l)

Formula

l² = H² + (s/2)²

l² = 8² + (30/2)²

l² = (8 x 8) + 15²

l² = 64 + (15 x 15)

l² = 64 + 225

l² = 289

l² = 17 x 17

l² = 17²

l = 17 in

The height of the plane is 8.298 miles.  

Given the information, the angles of elevation to an airplane from two points A and B on level ground are 55° and 72°, respectively.

The points A and B are 2.8 miles apart, and the airplane is east of both points. Therefore, the height of the plane must be determined. Let h be the height of the plane above the ground, d1 be the distance of the airplane from point A, and d2 be the distance of the airplane from point B.

In right triangle A,` tan 55° = h/d1` => `d1 = h/tan 55°`In right triangle B,` tan 72° = h/d2` => `d2 = h/tan 72°`Since the airplane is east of both points, `d1 + d2 = 2.8`=> `h/tan 55° + h/tan 72° = 2.8`=> `h = 2.8/tan 55° + tan 72°`=> `h = 2.8(0.829) + 3.078`=> `h = 5.22 + 3.078 = 8.298 miles`.

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Two methods are used to compute the value of D, which is the determinant of a 3x3 matrix. Both methods yield the same result, D = 1.

In the given problem, we need to compute the value of D using two different methods. The value of D is given by the determinant of a 3x3 matrix.

Method 1: Using the formula for the determinant of a 3x3 matrix

We can directly compute the determinant of the given matrix using the formula:

D = | 1 1 1 |

   | 1 1 -1 |

   | 1 -1 1 |

Expanding the determinant along the first row, we have:

D = 1 * | 1 -1 | - 1 * | 1 -1 | + 1 * | 1 1 |

       | 1 1 |         | 1 1 |       | -1 1 |

Simplifying further, we get:

D = (1 * (1 * 1 - (-1) * 1)) - (1 * (1 * 1 - (-1) * 1)) + (1 * (1 * (-1) - 1 * (-1)))

D = 1 - 1 + 1 = 1

Therefore, the value of D is 1.

Method 2: Using row operations

Another method to compute the determinant is by using row operations to transform the matrix into an upper triangular form. Since the given matrix is already upper triangular, the determinant is the product of the diagonal elements:

D = 1 * 1 * 1 = 1

Again, the value of D is 1.

Both methods yield the same result, which is D = 1.

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Based on the given sample of job applicants' years of experience (1, 3, 3, 1, 2), we can conclude that the sample contains a range of values and does not exhibit a uniform pattern. Further statistical analysis would be required to draw more specific conclusions about the sample.

The sample of job applicants' years of experience consists of the values 1, 3, 3, 1, and 2. From this information, we can observe that the sample includes different values, ranging from 1 to 3. This suggests that there is some variation in the years of experience among the job applicants.

However, with a sample size of only five, it is challenging to draw definitive conclusions about the entire population of job applicants. The sample might not be fully representative of the entire applicant pool, and there is limited information to assess the overall distribution or any underlying patterns in the data.

To gain more insights and make more robust conclusions, further statistical analysis would be necessary. Techniques such as calculating measures of central tendency (e.g., mean, median) and measures of dispersion (e.g., standard deviation, range) could provide a more comprehensive understanding of the sample and its characteristics.

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The model assumptions has been listed and briefly described. The equation of the least squares regression model for predicting total pure alcohol consumption in litres based on the number of beer servings per person is: Total_litres_Alcohol = 0.154 × Beer_Servings + 1.004.

To derive the equation of the least squares regression model, we use the provided data on total pure alcohol consumption (Total_litres_Alcohol) and the number of beer servings per person (Beer_Servings).

The least squares regression model aims to find the line that minimizes the sum of squared differences between the observed data points and the predicted values.

Assumptions of the regression model:

Linearity: The relationship between total pure alcohol consumption and beer servings is assumed to be linear, meaning the relationship can be approximated by a straight line.

Independence: The observations of total pure alcohol consumption and beer servings are assumed to be independent of each other.

Homoscedasticity: The variability of the errors (residuals) is assumed to be constant across all levels of beer servings. In other words, the spread of the residuals is consistent throughout the range of beer servings.

Normality: The errors are assumed to be normally distributed, meaning the distribution of residuals follows a normal distribution.

No multicollinearity: There should be no significant correlation between the independent variable (beer servings) and other predictor variables.

The equation of the least squares regression model is obtained by fitting a line to the data that minimizes the sum of squared differences.

In this case, the equation is:

Total_litres_Alcohol = 0.154 × Beer_Servings + 1.004

This equation suggests that for each additional beer serving per person, total pure alcohol consumption is estimated to increase by 0.154 litres, and there is an intercept of 1.004 litres when the number of beer servings is zero.

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Given, r(t) = (t6, t, t) Now, differentiate the given equation to find r'(t).r'(t) = (6t5, 1, 1)Also, T(1) = r'(1) = (6, 1, 1)r"(t) = (30t4, 0, 0)Now, substitute t = 1 in r'(t) and r"(t)r'(1) = (6, 1, 1) and r"(1) = (30, 0, 0)

Therefore, r'(t) T(1) r"(t) = 6i + j + k + 30k = 6i + j + 31kNow, r'(t) xr"(t) = (0-0) i - (0-30) j + (180-0) k = 30j + 180kHence, r'(t) xr"(t) II 30j + 180k Parametric equation of the tangent line can be given by:

r(t) = r(1) + t × r'(1)r(t) = (1, 1, 1) + t(6, 1, 1)r(t) = (6t+1, t+1, t+1)

Given x = 1, y = 8Vt, z = 22-4

Now, substitute t = 2 in x(t), y(t) and z(t).x(2) = 1, y(2) = 8V2 and z(2) = -1So, the point is (1, 8V2, -1) Substitute the value in the above equation of tangent, r(t) = (6t+1, t+1, t+1)r(t) = (6t+1, 8V2t+1, 22-4t+1)

Now, substitute t = 2, r(2) = (13, 5+4V2, 19)

Therefore, the parametric equations for the tangent line are x = 6t+1, y = 8V2t+1 and z = 22-4t+1. And the point at which we have to find tangent is (1, 8V2, -1) and the tangent line passes through (13, 5+4V2, 19).

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If v= (4,6) and w=(3,-1), then the component of v that is orthogonal to w is [tex]\frac{1}{5}(13, 33)[/tex]

To find the component of v that is orthogonal to w, follow these steps:

Hence, the component of v that is orthogonal to w is [tex]\frac{1}{5}(13, 33)[/tex]

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Answer: 7%

(Hope this is right.)

Step-by-step explanation:

Let's solve this using the information we have and an equation.

Shane: $32,000 - (Given)

Theresa: 18,000+14x, if x=1,160 - (Given)

---------------------------------------------------------------

Step two: (Theresa) 14(1,160) =16,240 (Algebra)

Step three: (Theresa) 18,000+16,240=34,240 (Algebra, given.) - cost of Theresa's car.

---------------------------------------------------------------

Finally,

They're asking for how much more she paid for her car as a percentage of what Shane paid.

34,240-32,000=2,240 and

2,240/32,000=0.07

0.07x100=7

Answer 7% more than what Shane paid.

The area of a square that has a length and width of 2 inches is 4 square inches

From the question, we have the following parameters that can be used in our computation:

Length = 2 inches

Width = 2 inches

using the above as a guide, we have the following:

Area = Length * WIdth

substitute the known values in the above equation, so, we have the following representation

Area = 2 * 2

Evaluate

Area = 4

Hence, the area of the square is 4

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(a)Sketch the right Riemann sums with n=5:Right Riemann Sum is a method used to approximate the area under a curve. We will be using six subintervals of equal length of the interval [1, 6] and 5 points within those subintervals to

find an approximate area under the curve f(x) = 2x² on [1, 6].Using n = 5, the subinterval length is (6 - 1) / 5 = 1. Each of the subintervals is therefore [1, 2], [2, 3], [3, 4], [4, 5], and [5, 6]. Because we are calculating the right Riemann sum, we will use the right endpoint of each subinterval.Using right Riemann Sum formula, we have:Riemann sum = f(2)Δx + f(3)Δx + f(4)Δx + f(5)Δx + f(6)Δx= 2(2²)(1) + 2(3²)(1) + 2(4²)(1) + 2(5²)(1) + 2(6²)(1)= 2(4) + 2(9) + 2(16) + 2(25) + 2(36)= 8 + 18 + 32 + 50 + 72= 180Determine whether this Riemann sum underestimates or overestimate the area under the curve.

The values of the right Riemann sum obtained for the interval [1,6] is 180.The midpoint of each rectangle lies to the right of the curve and thus, the area is overestimated.(b)Sketch the left Riemann sums with n=5: Using n = 5, the subinterval length is

(6 - 1) /5 = 1. Each of the subintervals is therefore [1, 2], [2, 3], [3, 4], [4, 5], and [5, 6]. Because we are calculating the left Riemann sum, we will use the left endpoint of each subinterval.Using left Riemann Sum formula, we have:Riemann sum = f(1)Δx + f(2)Δx + f(3)Δx + f(4)Δx + f(5)Δx= 2(1²)(1) + 2(2²)(1) + 2(3²)(1) + 2(4²)(1) + 2(5²)(1)= 2(1) + 2(4) + 2(9) + 2(16) + 2(25)= 2 + 8 + 18 + 32 + 50= 110Determine whether this Riemann sum underestimates or overestimate the

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To organize the given data into a frequency distribution, we need to determine the number of classes and the lower limit of the first class. The data consists of a minimum value of 42 and a maximum value of 129.

(a) The number of classes in a frequency distribution depends on various factors such as the range of the data, the desired level of detail, and the sample size. One commonly used guideline is to have around 5-20 classes.

Since we have 53 observations, it would be reasonable to choose a number of classes within this range. A suggestion would be to use around 10-12 classes, which provides a good balance between detail and simplicity.

(b) The lower limit of the first class should be chosen to encompass the minimum value and also provide a meaningful starting point. It is important to ensure that all data points are included in the frequency distribution.

Considering the given minimum value of 42, we can round it down to the nearest convenient number that is lower but still includes 42. For example, a suitable lower limit for the first class could be 40 or 35, depending on the desired level of granularity in the frequency distribution.

By following these guidelines, we can determine the number of classes and the lower limit of the first class to construct an effective frequency distribution for the given data.

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Answer:

$2251.10

Step-by-step explanation:

Principal/Initial Value: P = $1500

Annual Interest Rate: r = 7% = 0.07

Compound Frequency: k = 1 (year)

Period of Time: t = 6 (years)

[tex]\displaystyle A=P\biggr(1+\frac{r}{k}\biggr)^{kt}\\\\A=1500\biggr(1+\frac{0.07}{1}\biggr)^{1(6)}\\\\A=1500(1.07)^6\approx\$2251.10[/tex]

Hello!

18 + ( 16 x (72 ÷ (14-8)))

= 18 + (16 x (72 ÷ 6))

= 18 + (16 x 12)

= 18 + 192

= 210

18+[16*(72/(6)}

18+[16*12]

18+(192)

210

answer

The equation of the given line is 6x - y + 1 = 0. We can rewrite it as y = 6x + 1. Since we want to find a line that is tangent to the graph of f and parallel to the given line, we need to find the slope of the tangent line at some point on the graph of f.

We can do this by taking the derivative of f(x).f(x) = 2x²The derivative of f(x) isf'(x) = 4xWe want to find the slope of the tangent line at some point on the graph of f, so we need to evaluate f'(x) at that point.

Let (a, f(a)) be a point on the graph of f. Then the slope of the tangent line at that point isf'(a) = 4aWe know that the tangent line is parallel to the line y = 6x + 1, so it has the same slope as this line.

Therefore, we must have4a = 6or a = 3/2.Now we need to find the y-coordinate of the point on the graph of f where x = 3/2. We can do this by plugging x = 3/2 into the equation for f(x).f(3/2) = 2(3/2)² = 9/2So the point on the graph of f where x = 3/2 is (3/2, 9/2).

We now have a point on the tangent line (namely, (3/2, 9/2)) and the slope of the tangent line (namely, 4(3/2) = 6).

Therefore, we can use the point-slope form of the equation of a line to write the equation of the tangent line.y - 9/2 = 6(x - 3/2)y - 9/2 = 6x - 9y = 6x - 9/2

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Answer:

10.39

Step-by-step explanation:

The measures are ∠A = 14°, ∠B = 76° and AB = √68.

Given is a right triangle ABC with AC and BC are legs, AC = 8 and BC = 2 we need to find angle A and B and the side AB (hypotenuse)

So,

Using the Pythagorean theorem:

AB² = AC² + BC²

AB² = 8² + 2²

AB² = 64 + 4

AB² = 68

AB = √68

Now using the trigonometric ratios,

B = tan⁻¹(AC/BC)

B = tan¹(8/2)

B = 76°

Now, angle A = 90° - 76°

A = 14°

Hence the measures are ∠A = 14°, ∠B = 76° and AB = √68.

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