consider the following probability distribution. xi p(x = x i) 0 0.1 1 0.2 2 0.4 3 0.3 the expected value is _____.

The area of triangle ABC = (40/3) sq.cm.

Given that triangle ABC with midpoints M and N for AB and AC respectively, Bn intersects CM at O and area of triangle MON is 4 square centimeters. To find the area of ABC, we need to use the concept of the midpoint theorem and apply the Area of Triangle Rule.

Solution: By midpoint theorem, we know that MO || BN and NO || BM Also, CM and BN intersect at point O. Therefore, triangles BOC and MON are similar (AA similarity).We know that the area of MON is 4 sq.cm. Then, the ratio of the area of triangle BOC to the area of triangle MON will be in the ratio of the square of their corresponding sides. Let's say BO = x and OC = y, then the area of triangle BOC will be (1/2) * x * y. The ratio of area of triangle BOC to the area of triangle MON is in the ratio of the square of the corresponding sides. Hence,(1/2)xy/4 = (BO/MO)^2   or   (BO/MO)^2 = xy/8Also, BM = MC = MA and CN = NA = AN Thus, by the area of triangle rule, area of triangle BOC/area of triangle MON = CO/ON = BO/MO = x/(2/3)MO  => CO/ON = x/(2/3)MO Also, BO/MO = (x/(2/3))MO  => BO = (2/3)xNow, substitute the value of BO in (BO/MO)^2 = xy/8 equation, we get:(2/3)^2 x^2/MO^2 = xy/8   =>  MO^2 = (16/9)x^2/ySo, MO/ON = 2/3  =>  MO = (2/5)CO, then(2/5)CO/ON = 2/3   =>  CO/ON = 3/5Also, since BM = MC = MA and CN = NA = AN, BO = (2/3)x, CO = (3/5)y and MO = (2/5)x, NO = (3/5)y Now, area of triangle BOC = (1/2) * BO * CO = (1/2) * (2/3)x * (3/5)y = (2/5)xy Similarly, area of triangle MON = (1/2) * MO * NO = (1/2) * (2/5)x * (3/5)y = (3/25)xy Hence, area of triangle BOC/area of triangle MON = (2/5)xy / (3/25)xy = 10/3Now, we know the ratio of area of triangle BOC to the area of triangle MON, which is 10/3, and also we know that the area of triangle MON is 4 sq.cm. Substituting these values in the formula, we get, area of triangle BOC = (10/3)*4 = 40/3 sq.cm. Now, we need to find the area of triangle ABC. We know that the triangles ABC and BOC have the same base BC and also have the same height.

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Given,Marcella is switching to a new storage locker. We have to compare the storage space of the lockers.

1. Volume of the old locker is not given.

2. Let's calculate the volume of the new locker. Volume of the new locker is[tex]24 ft × 12 ft × 9 ft = 2592[/tex] cubic feet.

3. Since the volume of the old locker is not given, we cannot compare the sizes of the lockers.

Hence, we cannot determine which locker is larger and by how much.

Apologies, but as an AI text-based model, I cannot directly perform calculations or access specific dimensions of lockers.

However, I can guide you through the process of comparing the sizes of the lockers if you provide the necessary information.

To determine the volume of the lockers, you would typically need the measurements of each locker, such as length, width, and height. With these dimensions, you can calculate the volume using the formula: Volume = length × width × height.

Please provide the measurements of the old locker and the new locker, and I'll be happy to assist you further with the comparison.

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The completely factored expression is (4ab + 5)(c - 7).

To factor 4abc - 28ab + 5c - 35 completely, we first look for common factors within pairs of terms:

4abc - 28ab + 5c - 35

= 4ab(c - 7) + 5(c - 7)

So the fully factored form of 4abc - 28ab + 5c - 35 is (4ab + 5)(c - 7).
To factor the expression 4abc - 28ab + 5c - 35 completely, we first look for common factors within pairs of terms:
4abc - 28ab + 5c - 35

= 4ab(c - 7) + 5(c - 7)

We have a common factor of (c - 7). Factoring it out, we get:

Factor out 4ab from the first two terms and 5 from the last two terms:
4ab(c - 7) + 5(c - 7)
Now, we see that both terms have a common factor of (c - 7). Factor this out:

We have a common factor of (c - 7). Factoring it out, we get:

(c - 7)(4ab + 5)

Now we see that both terms have a common factor of (4ab + 5). Factor this out:
(4ab + 5)(c - 7)
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The probability of a ship hull having fractures given that it failed the scan test is 0.882 or 88.2%.

To solve this problem, we need to use Bayes' Theorem, which relates the probability of an event A given event B to the probability of event B given event A:

P(A|B) = P(B|A) * P(A) / P(B)

where P(A|B) is the probability of event A given event B, P(B|A) is the probability of event B given event A, P(A) is the prior probability of event A, and P(B) is the prior probability of event B.

In this problem, event A is the hull of a ship having fractures, and event B is the ship hull failing the scan test. We are given the following probabilities:

P(A) = 0.3 (the prior probability of a ship hull having fractures is 0.3)

P(B|A) = 0.75 (the probability of a ship hull with fractures failing the scan test is 0.75)

P(B|not A) = 0.15 (the probability of a ship hull without fractures failing the scan test is 0.15)

We need to find P(A|B), the probability of a ship hull having fractures given that it failed the scan test.

Using Bayes' Theorem, we have:

P(A|B) = P(B|A) * P(A) / P(B)

To calculate P(B), we can use the law of total probability:

P(B) = P(B|A) * P(A) + P(B|not A) * P(not A)

where P(not A) = 1 - P(A) = 0.7 (the probability of a ship hull not having fractures is 0.7).

Substituting the values, we get:

P(B) = 0.75 * 0.3 + 0.15 * 0.7 = 0.255

Now we can calculate P(A|B):

P(A|B) = P(B|A) * P(A) / P(B)

= 0.75 * 0.3 / 0.255

= 0.882

This result indicates that the scanning device is effective in detecting hull fractures in ships. If a ship hull fails the scan test, there is a high probability that it has fractures. However, there is still a small chance (11.8%) that the ship hull does not have fractures despite failing the scan test. Therefore, it is important to follow up with additional testing and inspection to confirm the presence of fractures before taking any corrective action.

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The equation shows |h(x)| ≤ C+3B for all x ∈ R, so h is bounded in R by the constant M = C+3B

To show that h is bounded in R, we need to show that there exists a constant M such that

|h(x)| ≤ M for all x ∈ R.

First, note that since f and g are bounded in R, there exist constants A, B, C, and D such that

|f(x)| ≤ A and |g(x)| ≤ B for all x ∈ R,

and

|f(g(x))| ≤ C for all x ∈ R.

As a rubric example,

Now consider the term

(f∘g)(x)sinx.

Since sinx is bounded between -1 and 1, we can write

|(f∘g)(x)sinx| ≤ C |sinx| ≤ C for all x ∈ R.

Similarly, we can write

|g(x)(1+sinx+cos(2x))| ≤ B(1+1+1) = 3B for all x ∈ R.

Therefore, we have

|h(x)| ≤ C+3B for all x ∈ R,

so h is bounded in R by the constant

M = C+3B.

Thus, we have shown that h is bounded in R.

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We have |h(x)| ≤ M1 + 3M2 for all x in R. Let M = M1 + 3M2, then |h(x)| ≤ M for all x in R. Hence, h(x) is bounded in R.

To show that h(x) is bounded in R, we need to find a constant M such that |h(x)| ≤ M for all x in R.

First, note that since f and g are bounded in R, there exist constants M1 and M2 such that |f(x)| ≤ M1 and |g(x)| ≤ M2 for all x in R.

Then, we can bound each term in h(x) separately:

|f(g(x))sin(x)| ≤ M1|sin(x)| ≤ M1

|g(x)(1+sin(x)+cos(2x))| ≤ M2(1+|sin(x)|+|cos(2x)|) ≤ M2(1+1+1) = 3M2

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For part (a), we can use Cauchy's Integral Formula which states that for a function f(z) that is analytic inside and on a simple closed contour C, and a point a inside C, we have:   The value of the integral is 2πi i0^(m+1).


f^(m)(a) = (1/2πi) ∮ C f(z)/(z-a)^(m+1) dz

where f^(m)(a) denotes the m-th derivative of f evaluated at a, and the integral is taken counterclockwise around C.

In our case, we have f(z) = 1, which is analytic everywhere, and C is the circle {izl = r} with counterclockwise orientation. So we can write:

iizml dz = i(1/2πi) ∮ {izl = r} 1/(z-i0) dz

where i0 is any point inside the circle, and the integral is taken counterclockwise around the circle.

Using Cauchy's Integral Formula with a = i0 and m = 0, we get:

iizml dz = i

So the value of the integral is just i.

For part (b), we need to evaluate the derivative of the integral, which is:

d/dz (iizml) = -m iizm-1

Using Cauchy's Integral Formula with a = i0 and m = 1, we get:

iizmlldzl = i(-m) (1/2πi) ∮ {izl = r} z^(m-1)/(z-i0)^2 dz

Note that the only difference from part (a) is the z^(m-1) term in the integral. We can simplify this using the Residue Theorem, which states that for a function f(z) that has a pole of order k at z = a, we have:

Res[f(z), a] = (1/(k-1)!) lim[z->a] d^(k-1)/dz^(k-1) [(z-a)^k f(z)]

In our case, the integral has a simple pole at z = i0, so we have:

Res[z^(m-1)/(z-i0)^2, i0] = lim[z->i0] d/dz [(z-i0)^2 z^(m-1)] = i0^m

Therefore, we can write:

iizmlldzl = -2πi Res[z^(m-1)/(z-i0)^2, i0] = -2πi i0^m

Note that the minus sign comes from the fact that the residue is negative. So the value of the integral is -2πi i0^m.

For part (c), we need to evaluate the integral of z^m around the same circle. Again, we can use Cauchy's Integral Formula with a = i0 and m = -1, which gives:

izm dz = (1/2πi) ∮ {izl = r} z^(m+1)/(z-i0) dz

Using the Residue Theorem, we can find the residue at z = i0, which is:

Res[z^(m+1)/(z-i0), i0] = lim[z->i0] z^(m+1) = i0^(m+1)

Therefore, we can write:

izm dz = 2πi Res[z^(m+1)/(z-i0), i0] = 2πi i0^(m+1).

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Answer:

total number of votes = 6,492

Step-by-step explanation:

We are given that the ratio of yes to no votes is 7 to 5

This means
[tex]\dfrac{\text{ number of yes votes}}{\text{ number of no votes}}} = \dfrac{7}{5}[/tex]

Number of no votes = 2705

Therefore
[tex]\dfrac{\text{ number of yes votes}}{2705}} = \dfrac{7}{5}[/tex]

[tex]\text{number of yes votes = } 2705 \times \dfrac{7}{5}\\= 3787[/tex]

Total number of votes = 3787 + 2705 = 6,492

it would be considered unusual to randomly select 13 people and find that fewer than 7 recognize the Yummy brand name based on the given mean and standard deviation.

To determine if it would be unusual to randomly select 13 people and find that fewer than 7 recognize the Yummy brand name, we can use the concept of z-scores and the standard normal distribution.

First, let's calculate the z-score for the value 7 using the given mean and standard deviation:

z = (x - μ) / σ

where x is the observed value, μ is the mean, and σ is the standard deviation.

For x = 7, μ = 10.1, and σ = 0.55, we have:

z = (7 - 10.1) / 0.55 ≈ -5.636

Next, we can look up the z-score in the standard normal distribution table or use a calculator to find the corresponding area under the curve.

A z-score of -5.636 is extremely small, indicating that the observed value of 7 is significantly below the mean. This suggests that it would indeed be unusual to randomly select 13 people and find that fewer than 7 recognize the Yummy brand name.

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The area inside the ellipse is 8π. The area of the interior of the curve is 3π.

a) Using Green's theorem, we can compute the area inside the ellipse using the line integral around the boundary of the ellipse. Let C be the boundary of the ellipse. Then, by Green's theorem, the area inside the ellipse is given by A = (1/2) ∫(x dy - y dx) over C. Parameterizing the ellipse as x = 2 cos(t), y = 4 sin(t), where t varies from 0 to 2π, we have dx/dt = -2 sin(t) and dy/dt = 4 cos(t). Substituting these into the formula for the line integral and simplifying, we get A = 8π, so the area inside the ellipse is 8π.

b) To find a parametrization of the curve x^(2/3) + y^(2/3) = 4^(2/3), we can use x = 4 cos^3(t) and y = 4 sin^3(t), where t varies from 0 to 2π. Differentiating these expressions with respect to t, we get dx/dt = -12 sin^2(t) cos(t) and dy/dt = 12 sin(t) cos^2(t). Substituting these into the formula for the line integral, we get A = (3/2) ∫(sin^2(t) + cos^2(t)) dt = (3/2) ∫ dt = (3/2) * 2π = 3π, so the area of the interior of the curve is 3π.

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After solving this is the general solution to the given differential equation.[tex](2/3)y^3x + 3x^2y^2 + C = x(3y^2 + 2x)[/tex]

where C = C2 - C1 is a new constant of integration.

To solve the given differential equation:

[tex]dx/dy = -(2y^2 + 6xy)/(3y^2 + 2x)[/tex]

We can try to separate the variables x and y on opposite sides of the equation.

This can be done by multiplying both sides by the denominator of the right-hand side:

[tex](3y^2 + 2x) dx/dy = -(2y^2 + 6xy)[/tex]

Now we can rearrange and integrate both sides with respect to their respective variables:

[tex]\int (3y^2 + 2x) dx = -\int (2y^2 + 6xy) dy[/tex]

Integrating the left-hand side with respect to x, we get:

[tex]x(3y^2 + 2x) + C1 = -∫ (2y^2 + 6xy) dy[/tex]

where C1 is an arbitrary constant of integration.

Integrating the right-hand side with respect to y, we get:

[tex]- (2/3)y^3x - 3x^2y^2 + C2[/tex]

where C2 is another arbitrary constant of integration.

Substituting this back into our previous equation, we get:

[tex]x(3y^2 + 2x) + C1 = (2/3)y^3x + 3x^2y^2 + C2[/tex]

We can simplify this equation by rearranging and combining the constants:

[tex](2/3)y^3x + 3x^2y^2 + C = x(3y^2 + 2x)[/tex]

where C = C2 - C1 is a new constant of integration.

This is the general solution to the given differential equation.

However, it is difficult to solve explicitly for x or y in terms of the other variable, so we leave the solution in implicit form.

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To solve the given differential equation, we first need to separate the variables and integrate both sides. Finally, we can simplify the expression by removing the absolute value sign and solving for y.

   To solve the given differential equation dx/dy = -(2y^2 + 6xy) / (3y^2 + 2x), follow these steps:

1. Rewrite the equation as dy/dx = (3y^2 + 2x) / (2y^2 + 6xy).
2. Notice that this is a first-order, homogeneous differential equation in the form dy/dx = f(x, y), where f is a function of x and y.
3. Perform a variable substitution, v = y/x.
4. Substitute v and its derivative dv/dx into the original equation, resulting in: (1 - x*dv/dx) = (3v^2 + 2) / (2v^2 + 6v).
5. Separate variables: x*dv/dx = (3v^2 + 2 - 2v^2 - 6v) / (2v^2 + 6v), then integrate both sides.
6. Obtain the solution in terms of v and x, and then substitute y/x back for v to get the solution in terms of x and y.

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The area between the two functions, g(x) = 5x - 9 and[tex]f(x) = x^2 - 16x + 9[/tex], over the interval [-9, -2], is __ square units (exact answer, not rounded).

To find the area between two curves, we need to calculate the definite integral of the difference between the upper and lower functions over the given interval. In this case, the upper function is g(x) = 5x - 9 and the lower function is [tex]f(x) = x^2 - 16x + 9[/tex].

The first step is to find the points where the two functions intersect. We can set them equal to each other:

[tex]5x - 9 = x^2 - 16x + 9[/tex]

Rearranging the equation gives us:

[tex]x^2 - 21x + 18 = 0[/tex]

Solving this quadratic equation, we find that x = 3 or x = 6. Since the interval is [-9, -2], we only need to consider the value x = 6 as it lies within the interval.

Next, we integrate the difference between the two functions from x = -9 to x = 6:

Area = ∫[-9, 6] (g(x) - f(x)) dx

Using the definite integral, we evaluate the expression:

Area = ∫[tex][-9, 6] (5x - 9 - (x^2 - 16x + 9))[/tex]dx

Simplifying further:

Area = ∫[tex][-9, 6] (-x^2 + 21x - 18)[/tex] dx

Integrating the polynomial, we find:

[tex]Area = [-x^3/3 + (21x^2)/2 - 18x] | [-9, 6][/tex]

Evaluating the definite integral from -9 to 6, we get the exact area between the two functions over the given interval.

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The resulting values for det(B) are 8, -8, 16

To determine the effect of each row operation on the determinant of the matrix, we can use the fact that the determinant is multilinear with respect to the rows. In other words, if we perform a row operation on a matrix, the determinant is multiplied by a scalar that depends on the row operation.

a) Interchanging rows 3 and 1 of A:

Let B be the matrix obtained by interchanging rows 3 and 1 of A. This row operation is equivalent to multiplying A by the permutation matrix P that interchanges rows 3 and 1. Since P is a permutation matrix, det(P) is either 1 or -1. In this case, interchanging rows 3 and 1 once is equivalent to applying P twice, so det(P) = 1. Therefore,

det(B) = det(PA) = det(P) det(A) = det(A) = 8

b) Adding -2 times row 3 to row 2 of A:

Let B be the matrix obtained by adding -2 times row 3 to row 2 of A. This row operation is equivalent to multiplying A by the matrix

I - 2 e_2 e_3^T,

where I is the 4x4 identity matrix, and e_2 and e_3 are the second and third standard basis vectors in R^4, respectively. The determinant of this matrix is -1 (it is a reflection matrix), so

det(B) = det((I - 2 e_2 e_3^T) A) = (-1) det(A) = -8.

c) Multiplying row 4 of A by 2:

Let B be the matrix obtained by multiplying row 4 of A by 2. This row operation is equivalent to multiplying A by the diagonal matrix D with diagonal entries 1, 1, 1, 2. The determinant of this matrix is 2, so

det(B) = det(DA) = 2 det(A) = 16.

Therefore, the resulting values for det(B) are:

a) det(B) = 8

b) det(B) = -8

c) det(B) = 16

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Answer: Order the data from least to greatest. Find the median or middle value that splits the set of data into two equal groups. If there is no one middle value, use the average of the two middle values as the median. Find the median for the lower half of the data set.

In the design for a new school, a classroom needs to have the same width as a laboratory. The architect can determine the common width of the classroom and the laboratory by performing the following steps:

Step 1: Research The architect will need to research the standard laboratory and classroom widths for schools to determine a common width.

Step 2: PlanAfter researching, the architect will make a detailed plan of the school design. This will include the floor plan and dimensions of the classroom and laboratory.

Step 3: MeasurementThe architect will then take measurements to ensure that the laboratory and the classroom have the same width. If the width is not the same, the architect may need to make adjustments to the plan.

Step 4: ReviewThe architect will review the design to ensure that the building meets all local, state, and federal regulations. The review will also ensure that the building is structurally sound and safe for students and staff.

Step 5: Finalize Once the design is complete, the architect will finalize the plans and prepare them for construction.

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Answer: the price of one senior citizen ticket is $10, and the price of one student ticket is $5.

Step-by-step explanation:

Let's assume the price of one senior citizen ticket is 's' dollars and the price of one student ticket is 't' dollars.

According to the given information, on the first day, the school sold 7 senior citizen tickets and 11 student tickets, totaling $125. This can be expressed as the equation:

7s + 11t = 125 ---(1)

On the second day, the school sold 14 senior citizen tickets and 8 student tickets, totaling $180. This can be expressed as the equation:

14s + 8t = 180 ---(2)

We now have a system of two equations with two variables. We can solve this system to find the values of 's' and 't'.

Multiplying equation (1) by 8 and equation (2) by 11, we get:

56s + 88t = 1000 ---(3)

154s + 88t = 1980 ---(4)

Subtracting equation (3) from equation (4) eliminates 't':

(154s + 88t) - (56s + 88t) = 1980 - 1000

98s = 980

s = 980 / 98

s = 10

Substituting the value of 's' back into equation (1), we can solve for 't':

7s + 11t = 125

7(10) + 11t = 125

70 + 11t = 125

11t = 125 - 70

11t = 55

t = 55 / 11

t = 5

Therefore, the price of one senior citizen ticket is $10, and the price of one student ticket is $5.

The largest standard deviation that the machine that fills the bar molds can have and still be considered capable if the average fill is 340 grams is approximately 4.04 grams.

Standard deviation is a measure of the spread of the data from its mean. In this problem, the standard deviation is defined as the largest deviation of the chocolate bar from its average weight.

To find the standard deviation of the chocolate bar, lets use the formula below:

Standard deviation formula

σ = √[∑(xi - μ)²/n]

whereσ = standard deviation   μ = average weight    xi = actual weight of each chocolate bari = 1, 2, 3, ..., n = total number of chocolate bars

In order to determine the largest standard deviation, we will use the upper limit specification of 347 grams and lower limit specification of 333 grams.

Substituting the given values into the formula, we have:

σ = √[((347 - 340)² + (340 - 340)² + (333 - 340)²)/3]

σ = √[49 + 0 + 49/3]σ = √(98/3)σ = 4.04 grams (to two decimal places)

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The scalar multiple [cx, cy, cz] satisfies the condition for membership in V. Therefore, V is closed under scalar multiplication.

To show that the set V is a subspace of ℝ³, we need to demonstrate that it is closed under addition and scalar multiplication. Let's go through each condition:

Closure under addition:

Let [x₁, y₁, z₁] and [x₂, y₂, z₂] be two arbitrary vectors in V. We need to show that their sum, [x₁ + x₂, y₁ + y₂, z₁ + z₂], also belongs to V.

From the given conditions:

9x₁ = 4y₁a + b ...(1)

9x₂ = 4y₂a + b ...(2)

Adding equations (1) and (2), we have:

9(x₁ + x₂) = 4(y₁ + y₂)a + 2b

This shows that the sum [x₁ + x₂, y₁ + y₂, z₁ + z₂] satisfies the condition for membership in V. Therefore, V is closed under addition.

Closure under scalar multiplication:

Let [x, y, z] be an arbitrary vector in V, and let c be a scalar. We need to show that c[x, y, z] = [cx, cy, cz] belongs to V.

From the given condition:

9x = 4ya + b

Multiplying both sides by c, we have:

9(cx) = 4(cya) + cb

This shows that the scalar multiple [cx, cy, cz] satisfies the condition for membership in V. Therefore, V is closed under scalar multiplication. Since V satisfies both closure conditions, it is a subspace of ℝ³.

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Given data: A student takes an exam containing 11 multiple-choice questions. The probability of choosing a correct answer by knowledgeable guessing is 0.6. This problem is related to the concept of the binomial probability distribution, as there are two possible outcomes (right or wrong) and the number of trials (questions) is fixed.

Let p = the probability of getting a question right = 0.6

Let q = the probability of getting a question wrong = 0.4

Let n = the number of questions = 11

We need to find the probability of getting exactly 11 questions right, which is a binomial probability, and the formula for finding binomial probability is given by:

[tex]P(X=k) = (nCk) * p^k * q^(n-k)Where P(X=k) = probability of getting k questions rightn[/tex]

Ck = combination of n and k = n! / (k! * (n-k)!)p = probability of getting a question rightq = probability of getting a question wrongn = number of questions

k = number of questions right

We need to substitute the given values in the formula to get the required probability.

Solution:[tex]P(X = 11) = (nCk) * p^k * q^(n-k) = (11C11) * (0.6)^11 * (0.4)^(11-11)= (1) * (0.6)^11 * (0.4)^0= (0.6)^11 * (1)= 0.0282475248[/tex](Rounded to 4 decimal places)

Therefore, the required probability is 0.0282 (rounded to 4 decimal places).Answer: 0.0282

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Answer:

The derivative of f(x) at x = -π/2 is -6.

Step-by-step explanation:

We use the product rule to differentiate f(x):

f(x) = 3cos(x) * 2sin(x)

f'(x) = (3cos(x) * 2cos(x)) + (2sin(x) * (-3sin(x))) [Product rule]

Simplifying, we get:

f'(x) = 6cos(x)cos(x) - 6sin(x)sin(x)

f'(x) = 6cos^2(x) - 6sin^2(x)

Now, substituting x = -π/2 in f'(x), we get:

f'(-π/2) = 6cos^2(-π/2) - 6sin^2(-π/2)

Since cos(-π/2) = 0 and sin(-π/2) = -1, we get:

f'(-π/2) = 6(0)^2 - 6(-1)^2

f'(-π/2) = 6(0) - 6(1)

f'(-π/2) = -6

Therefore, the derivative of f(x) at x = -π/2 is -6.

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1. The values will be SSE = 4803.28, SST = 8018.8, and SSR = 3215.52.

2. The coefficient of determination is 0.401.

3. The sample correlation coefficient is 0.401.

SSE = (51 - 56.59)² + (54 - 44.63)² + (46 - 36.33)² + (12 - 29.07)² + (11 - 25.38)²

= 4803.28

SST = (51 - 36.33)² + (54 - 36.33)² + (46 - 36.33)² + (12 - 36.33)² + (11 - 36.33)²

= 8018.8

SSR = (56.59 - 36.33)² + (44.63 - 36.33)² + (36.33 - 36.33)² + (29.07 - 36.33)² + (25.38 - 36.33)²

= 3215.52

B. The coefficient of determination, r², is given by the formula:

r² = SSR / SST

r² = 3215.52 / 8018.8

= 0.401

C. The sample correlation coefficient, r, can be calculated as:

r = SSR / (SSE + SSR)

r = 3215.52 / (4803.28 + 3215.52)

= 0.401

Therefore, the sample correlation coefficient is 0.401, which is the same as the coefficient of determination found in part B.

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The given series, ∑(n=1 to infinity) [(-1)^n * 14n^4 / 8], is a series with alternating signs. To determine if the series converges or diverges, we can apply the Alternating Series Test.

The Alternating Series Test states that if a series alternates signs and the absolute values of its terms decrease as n increases, then the series converges.

In this case, let's look at the absolute values of the terms in the series: [14n^4 / 8]. As n increases, the numerator (14n^4) increases, while the denominator (8) remains constant. Therefore, the absolute values of the terms are not decreasing as n increases.

Since the absolute values of the terms do not satisfy the conditions of the Alternating Series Test, we cannot determine the convergence or divergence of the series solely based on this test. Additional tests or techniques, such as the Ratio Test or the Comparison Test, may be required to determine the convergence or divergence of this particular series.

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a) The limits of integration for the triple integral are  [tex]\int _0^{2\pi}[/tex] [tex]\int _0^{2\pi}[/tex] [tex]\int _0^{5}[/tex] f(ρ,φ,θ) ρ²sinφ dρdφdθ

b) The value of the integral is 10π.

The limits of integration for the triple integral will depend on the volume of integration. In this case, the volume is the bottom half of a sphere of radius 5, which means that ρ varies from 0 to 5, φ varies from 0 to π/2, and θ varies from 0 to 2π. Hence, the limits of integration for the triple integral are:

[tex]\int _0^{2\pi}[/tex] [tex]\int _0^{2\pi}[/tex] [tex]\int _0^{5}[/tex] f(ρ,φ,θ) ρ²sinφ dρdφdθ

To evaluate this integral, we need to set up a triple integral that represents the volume of the region W and the function f(x,y,z) over that region. The integral notation is represented as:

∫∫∫ f(x,y,z) dV

where dV represents an infinitesimal volume element and the limits of integration are determined by the region W. Since W is the bottom half of a sphere of radius 5, we can use spherical coordinates to represent the limits of integration.

In spherical coordinates, the volume element dV is represented as:

dV = ρ²sin(φ)dρdθdφ

where ρ represents the radial distance, φ represents the polar angle (measured from the positive z-axis), and θ represents the azimuthal angle (measured from the positive x-axis).

To integrate over the region W, we need to set the limits of integration accordingly. Since we are only looking at the bottom half of a sphere, the limits for ρ, φ, and θ are as follows:

0 ≤ ρ ≤ 5

0 ≤ φ ≤ π/2

0 ≤ θ ≤ 2π

Plugging in the limits of integration and the volume element into the integral notation, we get:

∫∫∫ f(x,y,z) dV =   [tex]\int _0^{2\pi}[/tex] [tex]\int _0^{2\pi}[/tex] [tex]\int _0^{5}[/tex]  1 / √(ρ²) ρ²sin(φ) dρdφdθ

Simplifying this expression, we get:

 [tex]\int _0^{2\pi}[/tex] [tex]\int _0^{2\pi}[/tex] [tex]\int _0^{5}[/tex]  sin(φ) dρdφdθ

Evaluating the innermost integral with respect to ρ, we get:

 [tex]\int _0^{2\pi}[/tex] [tex]\int _0^{2\pi}[/tex]  5sin(φ) dφdθ

Evaluating the middle integral with respect to φ, we get:

 [tex]\int _0^{2\pi}[/tex]  [-5cos(φ)]dθ

Simplifying this expression, we get:

 [tex]\int _0^{2\pi}[/tex] 5 dθ = 10π

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Answer:

Step-by-step explanation:

You want the obtuse angle BCH in a figure with parallel lines GE and HF crossed by transversal BC, where the obtuse exterior angle at B is marked 10x+5, and the acute exterior angle at C is marked 6x+5.

The two marked angles are "consecutive exterior angles". As such, they are supplementary:

  (10x +5) +(6x +5) = 180

  16x = 170 . . . . . . . . . . . . . . subtract 10

  x = 170/16 = 10 5/8 = 10.625

All of the obtuse angles in the figure have same measure, so angle BCH is ...

  ∠BCH = 10(10.625) +5 = 111.25 . . . . degrees

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To answer this question, we can use the exponential growth formula that models the spread of a virus:

P(t) = P0ert

where P(t) represents the number of infected people at time t, P0 is the initial number of infected people, e is the mathematical constant e ≈ 2.71828, r is the daily growth rate expressed as a decimal, and t is the time in days.

Let's plug in the given values:

P(t) = 520e0.05t

We want to know how many people will be infected in 13 days, so we need to find P(13):

P(13) = 520e0.05(13)≈ 7,938.88

Therefore, according to the model, there will be approximately 7,939 people infected after 13 days.

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This gives us a probability of approximately 0.3085, or 30.85%. This gives us a probability of approximately 0.0228, or 2.28%.

a) To find the probability that someone's purchase amount exceeds $40, we need to find the z-score first:

z = (40 - 36) / 8 = 0.5

Then we can use the NORM.DIST function in Excel to find the probability:

=NORM.DIST(0.5,TRUE,FALSE)

b) To find the probability that the mean purchase amount for 16 customers exceeds $40, we need to use the formula for the distribution of sample means:

μX = μ = $36

σX = σ/√n = $8/√16 = $2

Then we can find the z-score for this distribution:

z = (40 - 36) / 2 = 2

Using the NORM.DIST function in Excel, we can find the probability of the sample mean exceeding $40:

=NORM.DIST(2,TRUE,FALSE)

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The  amounts, X answer is B) 0.32.

we can use the following steps:

1. We know that the claim amounts follow a Gamma distribution with mean 6 and variance 12. This means that the shape parameter of the Gamma distribution is α = (mean)^2 / variance = (6)^2 / 12 = 3.

2. We also know that the scale parameter of the Gamma distribution is β = variance / mean = 12 / 6 = 2.

3. To calculate Pr[x < 4], we can use the cumulative distribution function (CDF) of the Gamma distribution. The CDF of a Gamma distribution with shape parameter α and scale parameter β is:

F(x) = (1 / Γ(α)) * γ(α, x/β)

where Γ(α) is the Gamma function and γ(α, x/β) is the lower incomplete Gamma function.

4. Plugging in the values of α = 3, β = 2, and x = 4, we get:

F(4) = (1 / Γ(3)) * γ(3, 4/2) ≈ 0.684

5. Therefore, the probability of x being less than 4 is:

Pr[x < 4] = F(4) ≈ 0.684

6. However, we need to subtract this probability from 1 to get the probability of x being greater than or equal to 4:

Pr[x ≥ 4] = 1 - Pr[x < 4] ≈ 1 - 0.684 = 0.316

7. Finally, we can check which answer choice is closest to 0.316, which is B) 0.32.

So the answer is B) 0.32,

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The integral will be the difference in the areas of the two curves: 1/2*(4sin(θ))^2 - 1/2*(2)^2.

The area inside the curve r = 4sin(θ) and outside the curve r = 2 can be represented by the integral of a certain expression.

To find the integral representing the area inside r = 4sin(θ) and outside r = 2, we need to set up an integral that calculates the area between the two curves in polar coordinates.

First, we determine the points of intersection between the two curves. Setting r = 4sin(θ) equal to r = 2, we can solve for the values of θ where the curves intersect. By analyzing the equation, we find that the curves intersect at θ = π/6 and θ = 5π/6.

Next, we set up the integral to calculate the desired area. The integral will have limits from θ = π/6 to θ = 5π/6, as this covers the region between the curves. The integral will be the difference in the areas of the two curves: 1/2*(4sin(θ))^2 - 1/2*(2)^2.

Evaluating this integral will yield the area inside r = 4sin(θ) and outside r = 2. By calculating the integral over the specified range of θ, the result will provide the desired area.

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Answer:

Right angle =90°

Step-by-step explanation:

: 2x°+(x+9)°=90°

=2x°+x°+9°=90°

=3x°+9°=90°

=3x°=90°-9°

=3x°=81°

=x°=81°/3

=x°=27°

therefore FDE =(27+9)°

=36°

The unit tangent vector is:

T⇀(t) = u'(t) / | u'(t) | = (3t + 1)/sqrt(9t^4 + 18t^2 + 10)i^ - 6t^2/sqrt(9t^4 + 18t^2 + 10)j^ + 3/sqrt(9t^4 + 18t^2 + 10)k^

We need to find the unit tangent vector for the given vector-valued functions.

For r⇀(t)=costi^+sintj^, we have:

r'(t) = -sin(t)i^ + cos(t)j^

| r'(t) | = sqrt(sint^2 + cost^2) = 1

So, the unit tangent vector is:

T⇀(t) = r'(t) / | r'(t) | = -sin(t)i^ + cos(t)j^

For u⇀(t) = (3t^2 + 2t)i^ + (2 - 4t^3)j^ + (6t + 5)k^, we have:

u'(t) = (6t + 2)i^ - 12t^2j^ + 6k^

| u'(t) | = sqrt((6t + 2)^2 + (12t^2)^2 + 6^2) = sqrt(36t^4 + 72t^2 + 40) = 2sqrt(9t^4 + 18t^2 + 10)

So, the unit tangent vector is:

T⇀(t) = u'(t) / | u'(t) | = (3t + 1)/sqrt(9t^4 + 18t^2 + 10)i^ - 6t^2/sqrt(9t^4 + 18t^2 + 10)j^ + 3/sqrt(9t^4 + 18t^2 + 10)k^

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