Given the following declarations and assignments, what do these expressions evaluate to?
int a1[10] = {9, 8, 7, 6, 5, 4, 3, 2, 1, 0};
int *p1, *p2;
p1 = a1+3;
p2 = &a1[2];
(a) *(a1+4) (b) a1[3] (c) *p1 (d) *(p1+5) (e) p1[-2]
(f) *(a1+2) (g) a1[6] (h) *p2 (i) *(p2+3) (j) p2[-1]

Answer:

d

Step-by-step explanation:

The amount paid as a car loan is $19,500 at 6% compounded annually of the principal amount of $15,000.

The Amount is calculated by [tex]A=P(1+\frac{r}{n} )^{nt}[/tex]

where A is the Amount

P is the Principal

r is the Interest rate (in decimals)

n is the frequency at which the interest is compounded per year

t is the Time duration

According to the question,

Principal = $15,000

interest rate = 6% compound annually

Since interest is compounded annually, n =1

Time duration = 6 years

Therefore,

[tex]A= 15,000*(1+\frac{0.06}{1})^{1*5}\\ = 15,000*(1+0.06)^{5}\\= 15,000*(1.06)^{5}\\= 15,000*1.3\\= 19,500[/tex]

Hence, the amount paid is $19,500.

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The values of the missing parts of the triangles are shown below.

Trigonometry is used to solve problems involving angles and distances, and it has many practical applications in fields such as engineering, physics, and astronomy.

DE = 5/Sin 30

= 10

DF = 10 Cos 30

= 8.6

JK = 2√6/Sin 60

= 2√6/√3/2

JK = 2√6 * 2/√3

JK = 4√6 /√3

LK = Cos 60 *  4√6 /√3

= 1/2 * 4√6 /√3

LK = 2√6 /√3

Thus the missing parts have been filled in by the use of the trigonometric ratios.

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E(Z³) = 0.

Expected value of X E(X) is equal to its mean, μ.

We have two parts to answer:

(a) Calculate E(Z³), which is the third moment of Z
(b) Calculate E(X)

(a) Since Z ~ N(0, 1), it is a standard normal random variable. For standard normal random variables, all odd moments are equal to 0. This is because the standard normal distribution is symmetric around 0, and odd powers of Z preserve the sign, causing positive and negative values to cancel out when calculating the expectation. Therefore, E(Z³) = 0.

(b) To calculate E(X), recall that X = σZ + μ, where Z is a standard normal random variable, and X is a normal random variable with mean μ and variance σ². The expectation of a linear combination of random variables is equal to the linear combination of their expectations:

E(X) = E(σZ + μ) = σE(Z) + E(μ)

Since Z is a standard normal random variable, its mean is 0. Therefore, E(Z) = 0, and μ is a constant, so E(μ) = μ:

E(X) = σ(0) + μ = μ

So, the expected value of X is equal to its mean, μ.

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Answer:

m=147°

Step-by-step explanation:

Sum of interior angles of an n-sided polygon = (n-2)×180°, where n is the number of sides.

Sum of interior angles = (5-2) × 180°

= 3 × 180°

= 540°

m = 540-132-84-101-76

= 147°

There exists a function f such that f(x) > 0, f 0 (x) < 0, and f 00(x) > 0 for all x. - True.

There exists a function f(x) that satisfies these conditions. To see why, consider the function f(x) = x^3 - 3x + 1.
First, note that f(0) = 1, so f(x) is greater than 0 for some values of x.
Next, f'(x) = 3x^2 - 3, which is negative for x < -1 and positive for x > 1. Therefore, f(x) has a local minimum at x = 1 and a local maximum at x = -1. In particular, f'(0) = -3, so f'(x) is negative for some values of x.
Finally, f''(x) = 6x, which is positive for all x except x = 0. Therefore, f(x) has a concave up shape for all x, including x = 0, and in particular f''(x) is positive for all x.
So we have found a function f(x) that satisfies all three conditions.
a function f with the properties f(x) > 0, f'(x) < 0, and f''(x) > 0 for all x. This statement is true.
An example of such a function is f(x) = e^(-x), where e is the base of the natural logarithm. This function satisfies the conditions as follows:
1. f(x) > 0: The exponential function e^(-x) is always positive for all x.
2. f'(x) < 0: The derivative of e^(-x) is -e^(-x), which is always negative for all x.
3. f''(x) > 0: The second derivative of e^(-x) is e^(-x), which is always positive for all x.

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The score that he needs to acquire next time so that his average is 78 would be = 89.

The average of a set of values(scores) can be calculated by finding the total s of the values and dividing it by the number of the values.

That is ;

average = sum of the scores/number of scores

average = 78

sum of scores = 77+79+67+x

number of scores = 4

Therefore,X is solved as follows;

78 = 77+79+67+x/4

78×4 = 77+79+67+x

312 = 223+X

X = 312-223

= 89

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The required computations are: G(-1) = -3 and G(G(-1)) = -9

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We need to multiply the numerator and denominator by 3-√5 to rationalize the denominator of the fraction. Therefore, the correct answer is option B

To rationalize the denominator of the fraction 6−2√3+√5, we need to eliminate any radicals present in the denominator. We can do this by multiplying both the numerator and denominator by an expression that will cancel out the radicals in the denominator.

In this case, we can observe that the denominator contains two terms with radicals: -2√3 and √5. To eliminate these radicals, we need to multiply both the numerator and denominator by an expression that contains the conjugate of the denominator.

The conjugate of the denominator is 6+2√3-√5, so we can multiply both the numerator and denominator by this expression, giving us:

(6−2√3+√5)(6+2√3-√5) / (6+2√3-√5)(6+2√3-√5)

Simplifying the numerator and denominator, we get:

(6 * 6) + (6 * 2√3) - (6 * √5) - (2√3 * 6) - (2√3 * 2√3) + (2√3 * √5) + (√5 * 6) - (√5 * 2√3) + (√5 * -√5) / ((6^2) - (2√3)^2 - (√5)^2)

This simplifies to:

24 + 3√3 - 7√5 / 20

Therefore, the correct answer is option B.

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The initial simplex tableau of the corresponding dual problem is:
[ 2  2  1  0  0  5
 5  3  0  1  0 15
-1 -2  0  0  1  0 ]

To find the initial simplex tableau of the dual problem, first transform the minimization problem into its dual form, which will be a maximization problem.


1. Rewrite the minimization problem as:
  Minimize P = 5w₁ + 15w₂
  subject to:
  2w₁ + 5w₂ ≥ 1
  2w₁ + 3w₂ ≥ 2

2. Transform the problem into its dual form (a maximization problem):
  Maximize Q = y₁ + 2y₂
  subject to:
  2y₁ + 2y₂ ≤ 5
  5y₁ + 3y₂ ≤ 15

3. Write down the initial simplex tableau for the dual problem:
  [ 2  2  1  0  0  5
    5  3  0  1  0 15
   -1 -2  0  0  1  0 ]

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The correct answer is not given in the options.

To find the values of c and d, we can use the formula for the inverse of a 3x3 matrix:

A^-1 = 1/det(A) x [adj(A)],

where det(A) is the determinant of matrix A and adj(A) is the adjugate matrix of A.

First, we need to find the determinant of matrix A:

det(A) = 1(1 x 4 - (-2)(0)) - 0(1 x 4 - 0(-2)) + 0(1 x 1 - 0(0)) = 4.

Next, we need to find the adjugate matrix of A, which is the transpose of the matrix of cofactors of A:

adj(A) = [{begin{array}{cc} 4&0&2 \ 0&4&0 \-2&0&1 \end{array}\right].

Therefore, we have:

A^-1 = 1/4 x [{begin{array}{cc} 4&0&2 \ 0&4&0 \-2&0&1 \end{array}\right)]

Multiplying out, we get:

A^-1 = [{begin{array}{cc} 1&0&1/2 \ 0&1&0 \-1/2&0&1/4 \end{array}\right)]

Comparing this with the given formula for A^-1:

A^-1 = 1/6(a^2 + cA + dI)

We can see that the diagonal elements of A^-1 correspond to the values of dI, so d = 1/4.

Also, the (1,3) entry of A^-1 corresponds to the value c in cA, so c = 2 x 6 = 12.

Therefore, the correct answer is not given in the options.

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There is no value of implicit differentiation where the given situation can be satisfied.

The given equation is: xy * e^y = e

We want to find the value of y^n at the point where x=0.

1. Rewrite the equation: xy * e^y = e

We have an equation involving both x and y. To find the value of y^n at x=0, we need to implicitly differentiate the equation with respect to x.

2. Implicit differentiation:

To implicitly differentiate the equation, we treat y as a function of x and use the chain rule. Differentiating both sides of the equation with respect to x, we get:

d/dx (xy * e^y) = d/dx (e)

Using the product rule on the left side, we have:

y * d/dx (x * e^y) + x * d/dx (e^y) = 0

The derivative of e^y with respect to x can be found using the chain rule:

d/dx (e^y) = d/dy (e^y) * dy/dx = e^y * dy/dx

3. Plug in x=0:

Now, let's plug in x=0 into the equation. We have:

y * d/dx (0 * e^y) + 0 * d/dx (e^y) = 0

Simplifying, we get:

y * (0 * e^y) + 0 * (e^y * dy/dx) = 0

Since any number multiplied by 0 is 0, the equation becomes:

0 + 0 = 0

So, we have 0 = 0, which is a true statement.

4. Conclusion:

From the result 0 = 0, we can conclude that the equation holds when x=0. However, this doesn't provide any specific value for y or y^n at x=0.

Therefore, the original question of finding the value of y^n at x=0 cannot be determined solely from the given equation. The equation does not provide enough information to solve for a specific value of y or y^n at x=0.

In summary, there is no value for y^n at the point where x=0 in the given situation because the equation cannot be satisfied at x=0.

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If sin θ = 45 4 5 and 2 π 2 < θ < 32 3 π 2 , the value of tan(θ) is 1125/sqrt(23).

First, we need to find the value of cos(θ) since we know sin(θ).

sin²(θ) + cos²(θ) = 1

cos²(θ) = 1 - sin²(θ)

cos(θ) = sqrt(1 - sin²(θ))

cos(θ) = sqrt(1 - (45/4)^2/5^2)

cos(θ) = sqrt(1 - (2025/1600))

cos(θ) = sqrt(575/1600)

cos(θ) = sqrt(23)/20

Now, we can find the value of tan(θ).

tan(θ) = sin(θ)/cos(θ)

tan(θ) = (45/4)/sqrt(23)/20

tan(θ) = (45/4) * (20/sqrt(23))

tan(θ) = (225/2) * (1/sqrt(23))

tan(θ) = (225/2) * (sqrt(23)/23)

tan(θ) = 1125/sqrt(23)

Therefore, the value of tan(θ) is 1125/sqrt(23).

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To fit a geometric model for determining the number of zeros on a roulette wheel without looking at the wheel, we need to use the probability distribution of a geometric random variable.

(a) Let p be the probability of observing a zero slot on the wheel. Since there are 36 non-zero slots, we have p = 1/37. Let X be the number of non-zero slots observed before the first zero slot. Then X follows a geometric distribution with parameter p.

If we observe r odd/even bets being paid before we see a bet not being paid, then we have observed r+1 spins in total, and the number of non-zero slots observed is X = r. The maximum likelihood estimate of p is the sample proportion of zero slots observed, which is p = 1 - r/(r+1) = 1/(r+1).

The number of slots on the wheel is 36/p, so the maximum likelihood estimate of the number of slots on the wheel is 36(r+1).

(b) The reliability of this estimate depends on the sample size, which is r+1 in this case. As r increases, the sample size increases and the estimate becomes more reliable. However, if r is too small, the estimate may not be accurate due to sampling variability.

(c) If we watch the wheel k times and observe ri odd/even bets being paid before we see a bet not being paid in the ith experiment, then the total number of non-zero slots observed is X = r1 + r2 + r3.

The maximum likelihood estimate of p is p = 1 - X/(k+X), and the maximum likelihood estimate of the number of slots on the wheel is 36(p/(1-[)).

As k increases, the sample size increases and the estimate becomes more reliable. However, we need to be careful not to overestimate the number of slots on the wheel, since there could be some overlap in the observed non-zero slots across different experiments.

(a) To determine the maximum likelihood estimate of the number of slots on the wheel, let p be the probability of landing on a non-zero slot. Since there are 36 non-zero slots, the probability p = 36/n, where n is the total number of slots. The likelihood function is L(p) = p^r * (1-p), where r is the number of odd/even bets paid. To maximize L(p), we take the derivative dL(p)/dp and set it to 0. Solving for n, we get the estimate n = 36 + r.

(b) The reliability of this estimate depends on the value of r. The larger r is, the more confident we can be in our estimate. However, for small values of r, the estimate may not be very reliable as the sample size is too small to make a confident prediction.

(c) To determine the maximum likelihood estimate using k experiments, we need to consider the joint likelihood function of all experiments: L(p) = p^(r1+r2+r3) * (1-p)^k. Similar to part (a), we take the derivative dL(p)/dp and set it to 0. Solving for n, we get the estimate n = 36 + (r1+r2+r3)/k.


In summary, the maximum likelihood estimates for the number of slots on the wheel can be calculated using the given formulas. However, the reliability of the estimates depends on the number of observations and the total number of odd/even bets paid.

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Answer:

SA = [2π(1.4)² + 2.8π(4.2)] ft²   (Answer B)

Step-by-step explanation:

d = 2.8 ft; r = 1.4 ft

h = 4.2 ft

SA = area of 2 circular bases + lateral area

SA = 2πr² + 2πrh

SA = 2π(1.4)² + 2π(1.4)(4.2)

SA = 2π(1.4)² + 2.8π(4.2)

The graph of the given inequality is as attached below.

The general formula for the equation of a line in slope intercept form is:

y = mx + c

where:

m is slope

c is y-intercept

We are given the inequality equation:

y > ¹/₄x - 2

Using the slope intercept form, we have the slope as 1/4 and the y-intercept as -2.

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Step-by-step explanation:

See image below:

The numerical value of A2 = 10, A3 = 1, A4 = 10, A5 = 1, A6 = 10, A7 = 1, A8 = 10, and so on and the general form of An is 10.

The pattern is that A2, A4, A6, A8, etc. are all 10, while A3, A5, A7, A9, etc. are all 1. Therefore, the general formula for An is An = 10 if n is even, and An = 1 if n is odd. This pattern is a result of the alternating values of 1 and 10 in the original sequence.

By squaring any odd number (i.e., A2, A4, A6, etc.), we always get 100, and by squaring any even number (i.e., A3, A5, A7, etc.), we always get 1. This pattern continues indefinitely, and the general formula for An allows us to easily determine any term in the sequence without having to calculate all of the previous terms.

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Answer: q=1

Step-by-step explanation: Because it connects

A subspace of V containing all vectors that are parallel to the vector (1, 2) is { (k, 2k) | k ∈ R }. A subspace of V containing all vectors that are perpendicular to the vector (1, 1) is { (x, -x) | x ∈ R }.

(a) To construct a subspace of V containing all vectors parallel to the vector (1, 2), we need to find a scalar multiple of the given vector.

A vector is parallel to another vector if it is a scalar multiple of that vector.

Step 1: Let k be a scalar in R (real numbers).
Step 2: Multiply the given vector (1, 2) by k:

k(1, 2) = (k, 2k).
Step 3: The subspace of V containing all vectors parallel to (1, 2) is given by the set { (k, 2k) | k ∈ R }.

(b) To construct a subspace of V containing all vectors perpendicular to the vector (1, 1), we need to find vectors that have a dot product of 0 with the given vector.

Step 1: Let the vector we are looking for be (x, y).
Step 2: Calculate the dot product:

(1, 1) · (x, y) = 1*x + 1*y = x + y.
Step 3: To find the vectors perpendicular to (1, 1), set the dot product to 0:

x + y = 0.
Step 4: Rearrange the equation to isolate y:

y = -x.
Step 5: The subspace of V containing all vectors perpendicular to (1, 1) is given by the set { (x, -x) | x ∈ R }.

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A subspace of V containing all vectors that are parallel to the vector (1, 2) is { (k, 2k) | k ∈ R }. A subspace of V containing all vectors that are perpendicular to the vector (1, 1) is { (x, -x) | x ∈ R }.

(a) To construct a subspace of V containing all vectors parallel to the vector (1, 2), we need to find a scalar multiple of the given vector.

A vector is parallel to another vector if it is a scalar multiple of that vector.

Step 1: Let k be a scalar in R (real numbers).
Step 2: Multiply the given vector (1, 2) by k:

k(1, 2) = (k, 2k).
Step 3: The subspace of V containing all vectors parallel to (1, 2) is given by the set { (k, 2k) | k ∈ R }.

(b) To construct a subspace of V containing all vectors perpendicular to the vector (1, 1), we need to find vectors that have a dot product of 0 with the given vector.

Step 1: Let the vector we are looking for be (x, y).
Step 2: Calculate the dot product:

(1, 1) · (x, y) = 1*x + 1*y = x + y.
Step 3: To find the vectors perpendicular to (1, 1), set the dot product to 0:

x + y = 0.
Step 4: Rearrange the equation to isolate y:

y = -x.
Step 5: The subspace of V containing all vectors perpendicular to (1, 1) is given by the set { (x, -x) | x ∈ R }.

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Next, you’re going to research the author. Write down notes that target specific facts about Cisneros in the box below. Your notes should be helpful in understanding her biases, experiences, and knowledge. List three well-developed ideas as opposed to three simple facts in the light blue area of the box (that will be four ideas including my sample for an “A” grade). Be sure you are not copying and pasting from a website and that your words are your own. Cite your sources by putting the author’s last name or the title of the website if there is not an author. I have an example as a model.

Sandra Cisneros was born 1954 in Chicago, USA making her 49 years old, thus she was writing about the 1960-90’s. She writes all different styles of pieces most of which are for pre-teens and teens, but she also writes for adults. She has won a lot of different writing awards throughout her life (Cisnero).

Step-by-step explanation:

Theorem 1 states that if the functions f and f' are continuous on an interval (a,b) containing the initial point, then there exists a unique solution to the initial value problem on that interval.

In this case, we can rewrite the given differential equation as y' = (eˣy - x⁴ + 3)/6, and notice that both eˣy and x⁴ are increasing functions. Therefore, for a unique solution to exist, we need to ensure that the denominator (6) is positive for all values of x in (a,b).

Solving for y'' using the differential equation and plugging in the given initial conditions, we get y''(6) = e⁶/2 - 6/6 = (e⁶ - 6)/2. Since y''(6) is positive, the function y is concave up at x = 6, which means the function is increasing and hence y'(6) > 0.

Therefore, we can choose a = 6 - ε and b = 6 + ε for any positive ε such that y'(x) > 0 for x in (a,6) and y'(x) < 0 for x in (6,b). Hence, the largest interval for which Theorem 1 guarantees the existence of a unique solution is (6-ε, 6+ε).

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The probability of B from k is 0.655

The probability tree of the distribution is given as

A = 0.5k

B = 7k - 0.15

C  = 2.5k

By definition, we have

Sum of probabilities = 1

This means that

A + B  C = 1

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

0.5k + 7k - 0.15 + 2.5k = 1

When evaluated, we have

10k - 0.15 = 1

So, we have

10k = 1.15

Divide

k = 0.115

Recall that

B = 7k - 0.15

So, we have

B = 7(0.115) - 0.15

Evaluate

B = 0.655

Hence, the probability of B is 0.655

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The volume of the solid enclosed by the surface z = sqrt[tex](4 - x^2 - y^2\\[/tex]) and the plane z = 0 is (16/3)π.

To determine the volume of the solid enclosed by the surface z = sqrt[tex](4 - x^2 - y^2[/tex]) and the plane z = 0, we need to set up a triple integral over the region R in the xy-plane where the surface intersects with the plane z = 0.

The surface z = sqrt(4 - x^2 - y^2) intersects with the plane z = 0 when 4 - [tex]x^2 - y^2[/tex] = 0, which is the equation of a circle of radius 2 centered at the origin. So, we need to integrate over the circular region R: [tex]x^2 + y^2[/tex] ≤ 4.

Thus, the volume enclosed by the surface and the plane is given by:

V = ∬(R) f(x,y) dA

where f(x,y) = sqrt(4 - [tex]x^2 - y^2[/tex]) and dA = dx dy is the area element in the xy-plane.

Switching to polar coordinates, we have:

V = ∫(0 to 2π) ∫(0 to 2) sqrt(4 - [tex]r^2[/tex]) r dr dθ

Using the substitution u = 4 - r^2, we have du/dx = -2r and du = -2r dr. Thus, we can write the integral as:

V = ∫(0 to 2π) ∫(4 to 0) -1/2 sqrt(u) du dθ

= ∫(0 to 2π) 2/3 ([tex]4^(3/2)[/tex]- 0) dθ

= (16/3)π

Therefore, the volume of the solid enclosed by the surface z = sqrt(4 - [tex]x^2 - y^2[/tex]) and the plane z = 0 is (16/3)π.

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Step-by-step explanation:

The diagram is not included:

18 ft  x  10 ft  =  180 ft^2

180 ft^2  *  $ 3.19 / ft^2 = $  574.20     for a rectangular pool cover

If it is triangular    1/2 * 10 * 18   * $3.19 = $287.10

Answer:

no

Step-by-step explanation:

23.2 < 156

The unit vector with positive x-component that is orthogonal to both p(0) and p′(0) is [tex]v_u_n_i_t[/tex] = v / ||v|| = ⟨-1,0,0⟩.

First, we need to find the vector that represents the position of the curve at t=0, which is p(0) = ⟨-1,0,0⟩.

Then we need to find the vector that represents the velocity of the curve at t=0, which is p'(t) = ⟨2t,2,4t⟩, so p'(0) = ⟨0,2,0⟩.

To find a unit vector that is orthogonal to both p(0) and p'(0), we can use the cross product:

v = p(0) x p'(0)

where "x" denotes the cross product. This will give us a vector that is perpendicular to both p(0) and p'(0), but it may not be a unit vector. To make it a unit vector, we need to divide by its magnitude:

[tex]v_u_n_i_t[/tex] = v / ||v||

where "||v||" denotes the magnitude of v.

So let's calculate v:

v = p(0) x p'(0) = ⟨0,0,2⟩ x ⟨0,2,0⟩ = ⟨-4,0,0⟩

And the magnitude of v is:

||v|| = sqrt((-4)^2 + 0^2 + 0^2) = 4

So the unit vector that is orthogonal to both p(0) and p'(0) and has a positive x-component is:

[tex]v_u_n_i_t[/tex] = v / ||v|| = ⟨-1,0,0⟩

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The value of the triple iterated integral is  63/36.

Here is the step by step explanation

To evaluate the triple iterated integral ∫(from -1 to 2) ∫(from 0 to 1) ∫(from 0 to 2) xyz^5 dx dy dz, first we  integrate with respect to  the x:

∫(from -1 to 2) ∫(from 0 to 1) [(x^2y^2z^5)/2] (from 0 to 2) dy dz.

Now, integrate with respect to  the y:

∫(from -1 to 2) [(y^3z^5)/6] (from 0 to 1) dz.

Finally, integrate with respect to the z:

[(z^6)/36] (from -1 to 2).

Now, substitute the limits of  the integration:

[((2^6)/36) - ((-1)^6)/36] = (64/36) - (1/36) = 63/36.

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Jim can arrange the 11 songs on the playlist in 39,916,800 different ways. This can be answered by the concept of Permutation and Combination.

To determine the number of ways Jim can arrange the 11 songs on the playlist, we need to use the formula for permutations. The formula for permutations is n! / (n-r)!, where n is the total number of items and r is the number of items being chosen at a time. In this case, Jim has 11 songs and he wants to arrange all 11 of them on the playlist, so n = 11 and r = 11. Plugging these values into the formula, we get:

11! / (11-11)! = 11!

Simplifying 11!, we get:

11 x 10 x 9 x 8 x 7 x 6 x 5 x 4 x 3 x 2 x 1 = 39,916,800

Therefore, Jim can arrange the 11 songs on the playlist in 39,916,800 different ways.

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The percentage error is approximately 0.0042%.

To use linear approximation, we first need to find a "nice" point close to the values we want to multiply. Let's choose 3 and 2 as our nice points since they are easy to square.

We can then write:

(2.98)² ≈ (3 - 0.02)² = 3² - 2(3)(0.02) + (0.02)² = 9 - 0.12 + 0.0004 = 8.8804

(2.02)² ≈ (2 + 0.02)² = 2² + 2(2)(0.02) + (0.02)² = 4 + 0.08 + 0.0004 = 4.0804

Multiplying these two approximations, we get:

(2.98)²(2.02)² ≈ 8.8804 × 4.0804 ≈ 36.246

Using a calculator, we find the actual value to be 36.2444.

To compute the percentage error, we use the formula:

Error = |(approximation - actual value) / actual value| × 100%

Error = |(36.246 - 36.2444) / 36.2444| × 100% ≈ 0.0042%

Therefore, the percentage error is approximately 0.0042%.

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