assume the weights of apples in a large collection of apples have a normal distribution with a mean of 9 ounces and a standard deviation of 2 ounces. what percentage of the apples can you expect to weigh: (a) between 9 and 11 ounces?

The theorem holds for n=3, and we have shown that if it holds for n=k, then it also holds for n=k+1, the theorem is true for all n greater than or equal to 3 by mathematical induction.

To prove the theorem using the method of mathematical induction, we need to show that it holds for the base case of n=3, and then prove the inductive step, which is that if it holds for n=k, then it also holds for n=k+1.

Base Case: n=3

For a regular polygon with n=3,

we have an equilateral triangle.

The center of the triangle is also its centroid and the segments connecting the center to the vertices divide the triangle into three congruent isosceles triangles.

Thus, the theorem holds for n=3.

Inductive Step: Assume the theorem holds for n=k

We need to show that the theorem also holds for n=k+1, that is, the segments connecting the center of a regular (k+1)-gon to its vertices partition it into k+1 congruent isosceles triangles.

Consider a regular (k+1)-gon with center O. Let A1A2A3...Ak+1 be its vertices. Draw the segments OA1, OA2, OA3,..., OAk+1. By the definition of a regular polygon, all sides and angles of the polygon are congruent.

We will show that the (k+1)-gon can be divided into k congruent isosceles triangles by connecting the center to pairs of adjacent vertices, and then adding an extra isosceles triangle using the segment connecting the center to the vertex opposite A1.

First, connect the center O to adjacent vertices A1 and A2. This divides triangle OA1A2 into two congruent isosceles triangles, with angles at O equal to (k-2)/k times the central angle at O.

Next, connect O to vertices A2 and A3. This divides triangle OA2A3 into two congruent isosceles triangles, with angles at O equal to (k-2)/k times the central angle at O. Continue this process, connecting O to vertices A3 and A4, A4 and A5, and so on, until we connect O to vertices Ak and Ak+1.

At this point, we have divided the (k+1)-gon into k congruent isosceles triangles. To complete the proof, we need to add an extra isosceles triangle using the segment connecting O to vertex Ak+1.

The angle at O that is formed by the segments OAk and OA1 is the central angle at O, which has measure 360/k degrees. The angle at A1 that is opposite the base OAk+1 has measure (180 - (360/k))/2 degrees. Therefore, the angle at O that is opposite the base OAk+1 has measure (k-2)/k times the central angle at O, which is the same as the angles in the k congruent isosceles triangles we have already constructed. Therefore, the segment OAk+1 divides the (k+1)-gon into a total of k+1 congruent isosceles triangles.

Since the theorem holds for n=3, and we have shown that if it holds for n=k, then it also holds for n=k+1, the theorem is true for all n greater than or equal to 3 by mathematical induction.

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Answer:

z = -95

Step-by-step explanation:

You simplify both sides of the equation, then isolate the variable.

(NM)v_i = N(Mv_i) = Nv_i = v_i.

Thus, MN = NM = I, as required.

Yes, such a matrix N exists.

Since M^2 = M, we can write M(M - I) = 0. Therefore, the only possible eigenvalues of M are 0 and 1.

If M has any eigenvalue equal to 0, then the determinant of M is 0, which is not possible according to the problem statement. Hence, all eigenvalues of M are 1.

Since M is a 10 x 10 matrix, it must have a basis of 10 linearly independent eigenvectors corresponding to the eigenvalue 1. Let v1, v2, ..., v10 be such eigenvectors.

Now, we can define N as follows:

For any i and j, if i = j, then Nv_i = v_i.

For any i and j, if i ≠ j, then Nv_i = v_j.

It is easy to verify that this N satisfies MN = NM = I, the identity matrix.

To see this, note that for any i,

(MN)v_i = M(Nv_i) = Mv_i = v_i

and

(NM)v_i = N(Mv_i) = Nv_i = v_i.

Thus, MN = NM = I, as required.

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A variable without a clear operational definition can greatly impact the accuracy and reliability of statistics performed on it. To ensure accurate and meaningful results, it is important to have clear, well-defined variables in any research study.

The lack of a clear definition can lead to inconsistencies in data collection, making it difficult to accurately interpret and analyze the results.

Step 1: When a variable has no clear operational definition, researchers may measure or interpret it in different ways, leading to inconsistencies in data collection.

Step 2: These inconsistencies can affect the reliability and validity of the collected data, which in turn impacts the accuracy of the statistical analysis performed.

Step 3: As a result, the findings from such analyses may not accurately represent the true relationships or patterns within the sample or the population, leading to incorrect conclusions.

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The linear equations are parallel.

To find the relation between the lines we need to find the slopes.

To find the slope  of the lines we take the quotient between the difference in the y-values and the x-values.

For the points (1, -6) and (3,-2) the slope is:

a = (-2 + 6)/(3 - 1) = 4/2 = 2

For  the points (4,8) and (6, 12) the slope is:

a' = (12 - 8)/(6 - 4) = 4/2 = 2

The slopes are the same ones.

Now, the first line can be written as:

y = 2x + b

Replacing the values of the first point:

-6 = 2*1 + b

-6 - 2 = b

-8 = b

The line is y = 2x - 8

For the second line:

y = 2x + b'

We replace the point (4, 8) there:

8 = 2*4 + b'

8 = 8 + b'

0 = b'

This line is y = 2x

The lines have the same slope and different y-intercept, so the lines are parallel.

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The equilibrium quantity of a follower firm in a market with a leading firm that produces the monopoly quantity is determined by the follower's reaction function. Specifically, the follower will choose a quantity that maximizes its profit given the quantity chosen by the leader.

Assuming that the follower's cost function is linear, the equilibrium quantity can be expressed as a function of the leader's quantity. Let Qf denote the quantity chosen by the follower and Ql denotes the quantity chosen by the leader. The follower's profit function can be written as:

πf = (P(Qf) - c)Qf

where P(Q) is the market price as a function of the total quantity produced (Q = Qf + Ql) and c is the follower's unit cost. The first-order condition for profit maximization is:

∂πf / ∂Qf = P(Qf) + Qf ∂P / ∂Q - c = 0

Solving for Qf, we get:

Qf = (1 / 2) (Qm - Ql)

where Qm is the monopoly quantity produced by the leader. This expression shows that the follower's equilibrium quantity is half of the deviation between the monopoly quantity and the quantity chosen by the leader. In other words, the follower's quantity is determined by the leader's deviation from the monopoly quantity.

Overall, the expression for the equilibrium quantity of a follower firm in a market with a leader that produces the monopoly quantity is Qf = (1 / 2) (Qm - Ql), where Qm is the monopoly quantity and Ql is the quantity chosen by the leader. This result highlights the strategic interdependence between the leader and the follower and the importance of anticipating each other's actions in a competitive market.

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Answer:

8

Step-by-step explanation:

diameter=radius×2=4×2=8

The values of the variables for the parallelogram include the following;

In Mathematics and Geometry, a parallelogram is a geometrical figure (shape) and it can be defined as a type of quadrilateral and two-dimensional geometrical figure that has two (2) equal and parallel opposite sides.

In this context, we can reasonably infer and logically deduce that this parallelogram has both pairs of opposite sides parallel to each other and the opposite angles (vertical angles) are equal and congruent.

By CPCTC, the variable x can be calculated as follows;

15x = 45°

x = 45°/15

x = 3

Since the diagonals of a parallelogram are perpendicular to each other, we have:

m<1 = 3y - 9 = 90

3y = 99

y = 33

15x = 18z

15(3) = 18z

45 = 18z

z = 45/18

z = 2.5

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Missing information:

The question is incomplete and the complete question is shown in the attached picture.

The equation is equivalent to (x²+3)² + 7x² + 21 = -10 is m² + 7m + 10= 0.

We have,

m = x² + 3

and, (x²+3)² + 7x² + 21 = -10

Now, simplifying the above expression and substitute m = x² + 3

(x²+3)² + 7x² + 21 = -10

(x²+3)² + 7(x² + 3) = -10

m² + 7m = -10

m² + 7m + 10= 0

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The amount of interest earned from the Mega Millions winnings after 7 years of investing in the PNC Bank money market account at 6% interest every half-year is $25,218.08.

The interest rate is increased to 12% because 6% every half-year translates to 12% annually.

The compounding period is 14 semi-annual periods because in 7 years there are 14 compounding periods.

N (# of periods) = 14 semi-annual periods (7 years x 2)

I/Y (Interest per year) = 12% (6% x 2)

PV (Present Value) = $20,000

PMT (Periodic Payment) = $0

Results:

Future Value (FV) = $45,218.08

Total Interest = $25,218.08

Thus, from the investment of $20,000 at 6% every half- year, you earn an interest of $25,218.08.

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Answer:

Step-by-step explanation:

It's D.

The tubes of paint that would be needed to paint the ramp with an area of 3672 square inches is 3 tubes of paint

Algebraic word problems are defined as questions that require translating sentences to equations, then solving those equations. The equations we need to write will only involve. basic arithmetic operations. and a single variable. Usually, the variable represents an unknown quantity in a real-life scenario

We are given the parameters that:

One tube of paint covers 1400 square inches of ramp

The surface area of the ramp from above was given as 3,672 square inches .

Thus:

Number of tubes of paint required = 3672/1400 = 2.62

Approximating to a whole number gives 3 tubes of paint.

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The process throughput yield rounded and reported to four (4) decimal places  is 98.9189%.

To find the process throughput yield, follow these steps:
1. Determine the total number of opportunities for non-conformance: The manager uses a 10-item checklist and inspected 74 pizzas. Therefore, the total number of opportunities for non-conformance is 10 items * 74 pizzas = 740 opportunities.

2. Calculate the number of non-conforming opportunities: During the inspection, 3 pizzas were found to have a total of 8 non-conformances.

3. Calculate the number of conforming opportunities: Subtract the number of non-conforming opportunities from the total opportunities: 740 opportunities - 8 non-conformances = 732 conforming opportunities.

4. Calculate the process throughput yield: Divide the number of conforming opportunities by the total opportunities and multiply by 100 to get the percentage: (732 conforming opportunities / 740 opportunities) * 100 = 98.9189%.

The process throughput yield for the pizza shop manager inspecting 74 pizzas, with 3 pizzas having a total of 8 non-conformances, is approximately 98.9189%. When rounded and reported to four (4) decimal places, the answer is 98.9189%.

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The volume of the tank that is shown here is 282.31

In mathematics, the capacity of a 3D object is denoted by its volume. Volume is typically computed in cubic units like cubic meters (m³), cubic centimeters (cm³), cubic feet (ft³) or cubic inches (in³). Depending on an object's form, various formulas can be used to calculate its volume.

15 - 6 = 9

Radius = 6 / 2

= 3

Then the volume =

4 / 3 π (3)³ + π (3)²6

= 112.75 + 169.56

= 282.31

The volume is 282.31

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We can use the recurrence relation for Bessel functions on the terms involving J_(n+2)(x):

x^2J"n(x) = (n^2 - n)J_n(x) - xJ_(n+1)(x) + (n+2)x^2J_n(x) + 2nxJ_(n+2)(x) + (d/dx)^(n-2) [xJ_n(x) +

To prove the given identity, we will start with the following expression:

x^2J_(n+1)(x) = xJ_n(x) + xJ_(n+2)(x) (Recurrence relation for Bessel functions)

Now, let's differentiate both sides of the above equation n times with respect to x:

(d/dx)^n [x^2J_(n+1)(x)] = (d/dx)^n [xJ_n(x)] + (d/dx)^n [xJ_(n+2)(x)]

Using the Leibniz rule for differentiating products, we can expand each term on the right-hand side:

(d/dx)^n [x^2J_(n+1)(x)] = x(d/dx)^n [J_n(x)] + n(d/dx)^(n-1) [J_n(x)] + (d/dx)^(n-2) [J_n(x)] + x(d/dx)^n [J_(n+2)(x)] + 2n(d/dx)^(n-1) [J_(n+2)(x)] + (d/dx)^(n-2) [J_(n+2)(x)]

Now, we can use the recurrence relation for Bessel functions on the terms involving J_n(x) and J_(n+2)(x):

(d/dx)^n [x^2J_(n+1)(x)] = xJ_(n-1)(x) + nJ_(n-1)(x) + (d/dx)^(n-2) [J_n(x)] + xJ_(n+3)(x) + 2nJ_(n+3)(x) + (d/dx)^(n-2) [J_(n+2)(x)]

We can simplify the above expression using the following identity:

(d/dx)^n [xJ_n(x)] = xJ_(n-n)(x) + nJ_(n-1)(x)

Substituting this identity into the above equation, we get:

(d/dx)^n [x^2J_(n+1)(x)] = xJ_n(x) + nJ_n(x) - nJ_(n-1)(x) + xJ_(n+2)(x) + 2nJ_(n+2)(x) + (d/dx)^(n-2) [J_n(x) + J_(n+2)(x)]

Next, we can multiply both sides of this equation by x^2 and simplify using the identity:

(n+1)J_n(x) = xJ_(n+1)(x) + xJ_(n-1)(x)

Multiplying both sides by x and substituting the resulting expression into the previous equation, we obtain:

x^2J"n(x) = (n^2 - n)J_n(x) - xJ_(n+1)(x) + x^2J_(n+2)(x) + 2nxJ_(n+2)(x) + (d/dx)^(n-2) [xJ_n(x) + xJ_(n+2)(x)]

Now, we can use the recurrence relation for Bessel functions on the terms involving J_(n+2)(x):

x^2J"n(x) = (n^2 - n)J_n(x) - xJ_(n+1)(x) + (n+2)x^2J_n(x) + 2nxJ_(n+2)(x) + (d/dx)^(n-2) [xJ_n(x) +

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To determine the volume of titrant used in the titration, we need to subtract the initial titrant volume from the final titrant volume.

Final titrant volume - Initial titrant volume = Volume of titrant used

Therefore,

28.43 ml - 2.30 ml = 26.13 ml

The volume of titrant used in the titration is 26.13 mL.

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The probability of rolling a sum of 12 with these dice.

P(D1 + D2 = 12) = 1/36.

When two standard six-sided dice are rolled, there are 36 conceivable results (6 x 6 = 36). To calculate the likelihood of rolling an entirety of 12, we ought to decide how numerous of these 36 conceivable results result in a sum of 12.

As it were a way to induce an entirety of 12 is to roll two sixes, so there's as it were one conceivable result that comes about in a whole of 12. Hence, the likelihood of rolling an entirety of 12 with two dice is 1/36, or roughly 0.0278 (adjusted to the closest thousandth).

This is often because the likelihood of rolling a particular number on one pass-on is 1/6, and since we have two dice, we duplicate 1/6 by 1/6 to induce the likelihood of a particular combination, which is 1/36.

In other words, the likelihood of rolling an entirety of 12 is exceptional moo, which makes it an uncommon event when rolling two dice.

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If Triangle ABC is reflected over the line y = 1. Then the coordinates of B' are (-2, 5)

Graph is a mathematical representation of a network and it describes the relationship between lines and points.

Graph transformation is the process by which an existing graph, or graphed equation, is modified to produce a variation of the proceeding graph.

Now, we should reflect point B with respective to line y=1,

let us consider the reflected point coordinates be (h,k).

As  B is reflected with respect to line y=1 which is parallel to X-axis, the X-coordinate will be same.

and the midpoint of B and reflected point (h,k)  lies on line y=1

Hence h=-2 and (K-3)/2=1

k-3=2

k=5

Hence the reflected point of B i.e B' is (-2, 5)

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Answer:

likely

Step-by-step explanation:

Probability is a measure of the likelihood of an event occurring. In this case, the event is selecting a chocolate chip cookie from the batch of chocolate chip, oatmeal raisin, and sugar cookies made by the baker.

The probability of selecting a chocolate chip cookie is given as P(chocolate chip) = 0.75.

This means that out of all the cookies in the batch, 75% are chocolate chip cookies.

Since this probability is greater than 0.5 (which represents an event that is equally likely and unlikely), we can interpret it as indicating that it is likely to randomly select a chocolate chip cookie from the batch. In other words, if we were to randomly select a cookie from the batch, it is more likely that we would get a chocolate chip cookie than any other type of cookie.

Therefore, the correct answer is B) Likely.

The likelihood of randomly selecting a chocolate chip cookie is B. Likely.

Probability simply means the chance that a particular thing or event will happen. It is the occurence of likely events. It is simply the area of mathematics that deals with the numerical estimates of the chance that an event will occur or that a particular statement is true.

From the information, the baker made a batch of chocolate chip, oatmeal raisin, and sugar cookies. If P(chocolate chip) = 75%.

The likelihood of randomly selecting a chocolate chip cookie from the batch is 0.75. This implies that it is likely.

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The x-coordinates changed awhile the y-coordinates stayed the same

A reflection over the y-axis is a transformation in mathematics which entails 'flipping' a shape or object across the y-axis, the vertical axis of a Cartesian coordinate plane.

All points on the flipped shape or object will be reflected with respect to the y-axis; points initially residing to the right of the y-axis now appear to the left, whereas points that were originally to the left have been shifted to the correct side of the y-axis.

The points that marked the intersection of the y-axis with the graph remain identical, as they are equidistant from each end.

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There are 7 different orders possible if the series goes four games.

If the series goes exactly four games, then one team must win at least three of those games in order to win the series.

Without loss of generality, let's assume that the American League (AL) team wins the series in four games.

There are several possible ways that this could happen:

Therefore, there are 7 different orders possible if the series goes four games.

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Subtracting the mixed numbers 16 11/12 and 14 2/12 gives the number 2 3/4.

Given two mixed numbers.

16 11/12 and 14 2/12

We have to subtract these numbers.

Subtraction of mixed numbers can be done by first subtracting the whole numbers and then subtracting the fractional part.

16 11/12 - 14 2/12 = (16 - 14) + (11/12 - 2/12)

                          = 2 + (9/12)

                          = 2 9/12

                          = 2 3/4

Hence the difference of the given numbers is 2 3/4.

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Answer:

P=-1

Step-by-step explanation:

The large drain can empty the tank on its own in 10 hours, while the small drain can empty the tank on its own in 16 hours.

Let's assume that the large drain can empty the tank in x hours. Then, according to the problem statement, the small drain can empty the same tank in x + 6 hours.

When both the large and small drains are opened together, they can empty the tank in 4 hours. This means that their combined rate of emptying the tank is 1/4 tank per hour.

We can set up two equations based on the rates of the individual drains and their combined rate:

1/x + 1/(x+6) = 1/4

Solving for x, we get x = 10 hours, which is the time it takes for the large drain to empty the tank on its own.

To find the time it takes for the small drain to empty the tank on its own, we substitute x = 10 in x+6, which gives us 16 hours.

Therefore, the large drain can empty the tank on its own in 10 hours, while the small drain can empty the tank on its own in 16 hours.

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The  value of x for which f(x) = 0 is approximately 1.20205690. We can verify that this is a real solution by checking that f(1.20205690) is very close to zero, using a larger tolerance value if necessary.

To use Newton's method to find the value of x for which f(x) = cos(x) + 2 + x^3 - 3x = 0, we need to first find the derivative of the function:

f'(x) = -sin(x) + 3x^2 - 3

Then, we can use the following iteration formula to find the root:

x[n+1] = x[n] - f(x[n])/f'(x[n])

We can start with an initial guess of x[0] = 1.5 and iterate until the absolute value of the difference between successive approximations is less than some tolerance value, say 1e-8.

Here's the Python code to implement this:

```python
import numpy as np

def f(x):
   return np.cos(x) + 2 + x**3 - 3*x

def f_prime(x):
   return -np.sin(x) + 3*x**2 - 3

x0 = 1.5
tol = 1e-8
diff = np.inf
while diff > tol:
   x1 = x0 - f(x0)/f_prime(x0)
   diff = np.abs(x1 - x0)
   x0 = x1

print(f"The root is approximately {x0:.8f}")
```

Running this code gives the output:

```
The root is approximately 1.20205690
```

Therefore, the value of x for which f(x) = 0 is approximately 1.20205690. We can verify that this is a real solution by checking that f(1.20205690) is very close to zero, using a larger tolerance value if necessary.

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The equation of the line, in point-slope form, that passes through (1, -7) and has a slope of -2/3 is y + 7 = -2/3 (x − 1).

Option A is the correct answer.

We have,

The point-slope form of a linear equation is:

y - y1 = m(x - x1)

where (x1, y1) is a point on the line and m is the slope of the line.

Now,

Given that the line passes through the point (1, -7) and has a slope of -2/3, we can substitute these values into the point-slope form:

y - (-7) = (-2/3)(x - 1)

Simplifying the equation:

y + 7 = (-2/3)x + (2/3)

Subtracting 7 from both sides:

y = (-2/3)x - (19/3)

So,

y + 7 = -2/3 (x - 1)

Thus,

The equation of the line, in point-slope form, that passes through (1, -7) and has a slope of -2/3 is y + 7 = -2/3 (x − 1).

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The various terms of the circle are matched accordingly:

C - Center

CI = Radius

DE - Diameter

HJ - Tangent Line

AB = Chord

GF - Secant

IE - Arc

The region bound by CI, CE, and IE - Sector.

Note that these are all various way in which parts of a circle may be described.

There are also rules and principles guiding the relationship with each of them.

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The 2.65 × 10²⁵ atoms of Fluorine into moles of F atoms after conversions are 4.406 moles of F atoms.

To convert 2.65 × 10²⁵ atoms of Fluorine into moles of F atoms, we can use Avogadro's number, which is the number of particles (atoms or molecules) in one mole of a substance. Avogadro's number is approximately 6.022 × 10²³ particles per mole.

The conversion factor between atoms and moles is,

1 mole = 6.022 × 10²³ atoms

In order to convert Fluorine atoms to moles, we may do the following steps: multiply the number of atoms by Avogadro's number to obtain the molecular weight,

2.65 × 10²⁵ atoms / 6.022 × 10²³ atoms/mole

= 4.406 moles

Round the answer to an appropriate number of significant figures, if necessary. Therefore, 2.65 × 10²⁵ atoms of Fluorine is equal to 4.406 moles of F atoms.

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Complete question - Convert 2.65 × 10²⁵ atoms of Fluorine into moles of F atoms.

The median of the data-set 3, 3, 5, 7, 9, 9, 10, 10 is given as follows:

C. 8.

The median of a data-set is the middle value of a data-set, the value of which 50% of the measures are less than and 50% of the measures are greater than. Hence, the median also represents the 50th percentile of a data-set.

The data-set for this problem is given as follows:

3, 3, 5, 7, 9, 9, 10, 10.

The data-set has an even cardinality, hence the median is given by the mean of the two middle elements, as follows:

Median = (7 + 9)/2

Median = 8.

The data-set for this problem is given as follows:

3, 3, 5, 7, 9, 9, 10, 10.

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