The measure of A is 100°. Angles A and B are supplementary. What is mB?
A. mB = 10°
B. mB = 80°
C. mB = 90°
D. mB = 180°

The value of z on the system of equations is given as follows:

D. 4.

The system of equations in the context of this problem is defined as follows:

Replacing the first equation into the third equation, the value of x is obtained as follows:

3x - (-2x + 14) = 16

3x + 2x - 14 = 16

5x = 30

x = 6.

Replacing x = 6 onto the second equation, the value of z is obtained as follows:

3(6) - 4z = 2

18 - 4z = 2

4z = 16

z = 4.

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To compute the values of Ox and Oy required to cause the given deformations, we can use the following equations:

εx = (1/E) * (σx - v*σy)
εy = (1/E) * (σy - v*σx)

Where εx and εy are the strains in the x and y directions, σx and σy are the stresses in the x and y directions, E is the modulus of elasticity, and v is the Poisson's ratio.

We can assume that the plate is subjected to equal and opposite stresses in the x and y directions, such that σx = -σy = σ. Therefore, we can write:

εx = (1/E) * (σ + v*σ) = (1/E) * (1+v) * σ
εy = (1/E) * (-σ + v*σ) = (1/E) * (v-1) * σ

Using the given dimensions and deformations, we can calculate the strains:

εx = ΔLx/Lx = 0.0016/8 = 0.0002
εy = -ΔLy/Ly = -0.00024/4 = -0.00006

Substituting these values into the equations above, we can solve for σ and then for Ox and Oy:

σ = (εx * E)/(1+v) = (0.0002 * 29e6)/(1+0.30) = 4795 psi

Ox = σ*t = 4795 * 8 = 38360 lb/in
Oy = -σ*t = -4795 * 4 = -19180 lb/in

Therefore, the values of Ox and Oy required to cause the given deformations are 38360 lb/in and -19180 lb/in, respectively.

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a) The demand function is p(x) = -0.001x + 59.

b) The ticket prices should be set to approximately $29.50 to maximize revenue.

(a) To find the demand function, we will use the two given points: (49,000 spectators, $10) and (51,000 spectators, $8). We can find the slope (m) and the y-intercept (b) for the linear function p(x) = mx + b.

The slope formula is (y2 - y1) / (x2 - x1). Using the given points, we get:

m = (8 - 10) / (51,000 - 49,000) = -2 / 2,000 = -0.001

Now, we can use one of the points to find the y-intercept (b). Let's use (49,000 spectators, $10):

10 = -0.001 * 49,000 + b
b = 10 + 0.001 * 49,000 = 10 + 49 = 59

So, the demand function is p(x) = -0.001x + 59.

(b) To maximize revenue, we need to find the price that results in the highest product of price and attendance. Revenue (R) = p(x) * x. Therefore, R(x) = (-0.001x + 59) * x. To find the maximum, we can take the derivative of R(x) with respect to x and set it equal to zero:

dR/dx = -0.002x + 59 = 0

Solving for x, we get:

x = 59 / 0.002 = 29,500 spectators

Now, we can plug this value into the demand function to find the optimal ticket price:

p(29,500) = -0.001 * 29,500 + 59 ≈ $29.50

So, the ticket prices should be set to approximately $29.50 to maximize revenue.

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1.) [tex]y(y + 4) - y = 6[/tex] ✅Are Quadratic Functions.

2.)  [tex](3x + 2) + (6x - 1) = 0[/tex] ❌ Not a Quadratic Function.

3.) [tex]4b(b) = 0[/tex] ✅ Are Quadratic Functions.

4.) [tex]3a - 7 = 2 (7a - 3)[/tex] ❌ Not a Quadratic Function.

Answer:

A & C

Step-by-step explanation:

Got It right on edge.

Answer:

Step-by-step explanation:

8

The team that has best overall record for the season is the falcons because they have a larger mean value of 20.9 points

The mean of the dataset is defined the sum of all values divided by the total number of values. Therefore mean can be expressed as;

mean = sum of items/number of items

The mean value of Eagles = (3 + 24 + 14 + 27 + 10 + 13 + 10 + 21 + 24 + 17 + 27 + 7 + 40 + 37 + 55)/15

= 310/15 = 20.67

The mean value of falcons = (24 + 24  + 10 + 7 + 30 + 28 + 21 + 6 + 17 + 16 + 35 + 30 + 28 + 24 + 14)/15

= 314/15 = 20.93

Therefore since the mean value of falcons is higher than eagles, falcons has the best overall performance.

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The differential dy for y = tan(4x + 6) when x = 4 and dx = 0.2 is 3.22, the differential dy for y = 3x² + 5x + 4 when x = 5 and dx = 0.2 is 30.20, and the change in y [tex]∆y[/tex] for y = [tex]4√x[/tex] when x = 2 and[tex]∆x = 0.3 is 0.848[/tex].

To find the differential of a function, we use the derivative, which is defined as the limit of the ratio of the change in y to the change in x as the change in x approaches zero. The differential dy is then given by the product of the derivative and the change in x, or simply dy = f'(x) dx.

For the function y = tan(4x + 6), we can find the derivative as follows: f'(x) = sec²(4x + 6) * 4 = 4 sec²(4x + 6) Substituting x = 4 and dx = 0.2, we get: dy = f'(4) * 0.2 = 4 sec²(22) * 0.2. Rounding to two decimal places, we get dy = 3.22.

For the function y = 3x² + 5x + 4, we can find the derivative as follows: f'(x) = 6x + 5 Substituting x = 5 and dx = 0.2, we get: dy = f'(5) * 0.2 = 6(5) + 5 * 0.2 Rounding to two decimal places, we get dy = 30.20.

For the function y = [tex]4√x[/tex], we can find the derivative as follows: f'(x) = 2/√x Substituting x = 2 and[tex]∆x = 0.3[/tex], we get: ∆y = f'(2) *[tex]∆x = 2/√2 * 0.3 = 0.848[/tex] Rounding to three decimal places, we get [tex]∆y = 0.848[/tex].

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To find the extreme values of a function subject to a given constraint, Lagrange multipliers can be used. The method involves finding the critical points of the function and the constraint equation, and then solving a system of equations using the Lagrange multiplier. The resulting solutions will give the maximum and minimum values of the function subject to the given constraint.

Suppose we have a function f(x,y,z) and a constraint equation g(x,y,z) = 0. We can set up the Lagrangian function L(x,y,z,λ) = f(x,y,z) - λg(x,y,z) and then find the partial derivatives of L concerning x, y, z, and λ. Setting these partial derivatives to zero and solving the resulting system of equations will give us the critical points and the corresponding values of λ.

Once we have the critical points and values of λ, we can evaluate the function f(x,y,z) at these points to find the maximum and minimum values subject to the given constraint. It is important to note that not all critical points will necessarily correspond to maximum or minimum values, so we must evaluate the function at each point to determine which points give the extreme values.

Overall, Lagrange multipliers provide a powerful method for finding the extreme values of a function subject to a given constraint. The method involves setting up a Lagrangian function, finding the critical points and values of λ, and then evaluating the function at these points to find the maximum and minimum values. This approach can be applied to a wide range of optimization problems in mathematics, physics, and engineering.

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There is enough evidence to support the strategist's claim

To test the claim, we can use a one-sample proportion test.

Let p be the true proportion of residents in the town who favor construction. The null hypothesis is that p = 0.80 and the alternative hypothesis is that p > 0.80.

The test statistic is:

z = (p' - p) / sqrt(p * (1 - p) / n)

where p' is the sample proportion, n is the sample size.

Using the given data, we have:

p' = 0.83

p = 0.80

n = 1600

Plugging in these values, we get:

z = (0.83 - 0.80) / sqrt(0.80 * 0.20 / 1600) = 2.236

The corresponding p-value for this test statistic is 0.0126 (using a standard normal distribution table or calculator).

Since the p-value (0.0126) is less than the significance level (0.01), we reject the null hypothesis. There is sufficient evidence to support the claim that the percentage of residents who favor construction is more than 80%.

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The value of f in the proportion is,

f = 20

We have to given that;

Proportion is,

⇒ 5 / 11 = f / 44

Now, We can simplify as;

⇒ 5 / 11 = f / 44

⇒ 5 x 44 / 11 = f

⇒ 5 x 4 = f

⇒ f = 20

Thus, The value of f in the proportion is,

f = 20

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The value of f from 5/11 = f/44 is 20.

We have,

5 /11 = f /44

Using proportion we get

5 x 44 = 11 x f

5 x 44 /11 = f

5 x 4 = f

f = 20

Thus, the value of f is 20.

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Answer:

Step-by-step explanation:

Let x be the measure of the smaller angle, and y be the measure of the larger angle. Then we know that:

   x + y + 100 = 180, since the sum of the angles in a triangle is 180 degrees.

   y/x = 11/5, since the other two angles are in a ratio of 5:11.

We can use the second equation to solve for y in terms of x:

y/x = 11/5

y = 11x/5

Substituting this into the first equation, we get:

x + (11x/5) + 100 = 180

Multiplying both sides by 5, we get:

5x + 11x + 500 = 900

16x = 400

x = 25

Therefore, the smaller angle measures 25 degrees, and the larger angle measures:

y = 11x/5 = 11(25)/5 = 55

So the two angles are 25 degrees and 55 degrees.

To check this make sure the sum of all the angles is 180.

55+25+100=180

Answer: B, An arrow

Step-by-step explanation: The arrow can be folded down the middle longways to match up

The probability that a tire is from plant A, given that the owner finds that it is defective, is 0.67 or 67%.

Let A be the event that the tire comes from plant A, and D be the event that the tire is defective. We want to find P(A|D), the probability that the tire comes from plant A, given that it is defective.

Using Bayes' theorem, we have:

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

We know that P(D|A) = 0.20, the probability that a tire from plant A is defective, and P(D|B) = 0.10, the probability that a tire from plant B is defective.

We also know that P(A) = P(B) = 0.50, the probability that an order consists of tires from plant A or plant B.

To find P(D), we use the law of total probability:

P(D) = P(D|A) * P(A) + P(D|B) * P(B)

= 0.20 * 0.50 + 0.10 * 0.50

= 0.15

Now we can substitute these values into Bayes' theorem:

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

= 0.20 * 0.50 / 0.15

= 2/3

= 0.67 (rounded to two decimal places)

Therefore, the probability that a tire is from plant A, given that the owner finds that it is defective, is 0.67 or 67%.

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The value of y when the value of x is 1 would be 60.

In Mathematics and Geometry, a proportional relationship refers to a type of relationship that produces equivalent ratios and it can be modeled or represented by the following mathematical equation:

y = kx

Where:

Next, we would determine the constant of proportionality (k) by using the data points contained in the table as follows:

Constant of proportionality, k = y/x

Constant of proportionality, k = 60/1

Constant of proportionality, k = 60.

Therefore, the required equation is given by;

y = 60x

y = 60(1)

y = 60.

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In a case whereby Samantha has 6 apples and 5 bananas in a fruit basket,the ratio of apple to banana is 6:5, the ratio of banana to total fruit is 5:11

A ratio can be desribed as the the quantitative relation that is been established when dealing with two amounts showing the number of times onethe first value contains  compare to another value.

It should be noted that the total number of the fruit is (6+5)= 11

the ,the ratio of apple to banana is 6:5, the ratio of banana to total fruit is 5:11  

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From the principal mathematical induction, the inequality, 2ⁿ > n², where n belongs to integers, is true for all integers greater than four, i.e., n > 4.

We have to prove the inequality 2ⁿ > n², for all integer greater than 4. For this we use mathematical induction method. The principle of mathematical induction is one of method used in mathematics to prove that a statement is true for all natural numbers.

Step 1 : first we consider case first for n= 5 , here 2⁵ = 32 and 5² = 25, so 2⁵ > 5²

Thus it is true for n = 5.

Step 2 : Now suppose it's true for some integer k such that n≤ k, that is 2ᵏ > k²--(1)

Step 3 : Now, we have to prove it's true for n = k + 1. So, 2ᵏ⁺¹ = 2ᵏ. 2

2ᵏ⁺¹ = 2ᵏ.2 > 2k² ( since, 2ᵏ > k² )

> 2k² = k² + k²

> k² + 2k + 1 ( since, k² > 2k + 1 ,k > 3)

> ( k +1)² = k² + 2k + 1

=> 2ᵏ⁺¹ > (k+1)²

So, we proved it for n = k + 1. Hence, this theorem is true for all n.

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The MLE of λ = 1/p is:

â = 1/0.6364 = 1.5714 (rounded to four decimal places).

Let Y be the number of components that survive 24 hours. Then Y ~ Bin(22, p), where p is the probability that a component survives 24 hours. The maximum likelihood estimator (MLE) of p is the sample proportion of components that survive 24 hours, which is y/n = 14/22 = 0.6364.

Now, let X be the lifetime of a component, which is exponentially distributed with parameter λ = 1. Then the probability that a component survives 24 hours is P(X > 24) = e^(-24λ). Substituting λ = 1, we get p = e^(-24).

The likelihood function L(p) is then given by:

L(p) = (22 choose 14) * p^14 * (1-p)^8

Taking the natural logarithm of L(p), we get:

ln L(p) = ln(22 choose 14) + 14 ln p + 8 ln(1-p)

To find the MLE of p, we differentiate ln L(p) with respect to p and set the result to zero:

d/dp ln L(p) = 14/p - 8/(1-p) = 0

Solving for p, we get:

p = 14/22 = 0.6364

This is the same as the MLE of p we obtained earlier, which makes sense since p = e^(-24) is a function of the MLE of p.

Therefore, the MLE of λ = 1/p is:

â = 1/0.6364 = 1.5714 (rounded to four decimal places).

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If total of 180 of these shapes with be strung on the necklace, the necklace contains 30 squares, 30 circles, and 30 triangles.

The sequence of shapes in the necklace follows a pattern of increasing the number of shapes in each group by one, starting with one shape of each type in the first group. This means that the necklace will contain 1+2+3=6 shapes in each group, and there are a total of 180 shapes.

To find the number of each shape in the necklace, we need to determine the number of groups in the necklace. Since there are 6 shapes in each group, we can divide the total number of shapes by 6 to get the number of groups:

180 shapes ÷ 6 shapes/group = 30 groups

This means that there are 30 groups of shapes in the necklace. Within each group, there is one square, one circle, and one triangle. Therefore, the total number of each shape in the necklace is:

1 square/group × 30 groups = 30 squares

1 circle/group × 30 groups = 30 circles

1 triangle/group × 30 groups = 30 triangles

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Answer:

30%

Step-by-step explanation:

We Know

The market price of the scarf was $75.00

A scarf sells for $52.50

What was the percentage discounted from the scarf?

We Take

100% - (52.50 ÷ 75.00) · 100 = 30%

So, the percentage discounted from the scarf is 30%

Answer:

48

Step-by-step explanation:

natural even numbers have a difference of 2 between them

let n be the minimum number , then the next 3 are

n + 2, n + 4, n + 6

sum the 4 numbers and equate to 204

n + n + 2 + n + 4 + n + 6 = 204

4n + 12 = 204 ( subtract 12 from both sides )

4n = 192 ( divide both sides by 4 )

n = 48

the 4 numbers are then 48, 50, 52, 54

with the minimum being 48

Answer:

Step-by-step explanation:

Negtive 1

Negtive 2

Negtive 3

Negtive 4

The standard deviation of this sample of counts is 2.07.

To find the standard deviation of this sample of counts, we first need to calculate the mean (average) of the counts. Adding up all of the counts and dividing by 6, we get:
[tex]= (\frac{53 + 49 + 54 + 51 + 48 + 5)}{6})[/tex]
So the mean is 51.

Now we can calculate the variance, which measures how spread out the data is from the mean. We do this by finding the average of the squared differences between each count and the mean:

[tex]\frac{(53 - 51)^{2}+ (49 - 51)^{2}+(54 - 51)^{2}+(51 - 51)^{2}+(48 - 51)^{2}+ (51 - 51)^{2}}{6} = 4.3[/tex]

The variance is 4.3. To get the standard deviation, we take the square root of the variance:
[tex]\sqrt{4.3}=2.07[/tex] .

So the standard deviation of this sample of counts is 2.07.

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[tex]cos^−1(cos(a))[/tex]  simplifies to 4π/3 where identity [tex]cos(cos^−1(x)) = x[/tex]  is used which implies that on the off chance that we take the inverse cosine of the cosine of an angle, we'll get back the initial angle (within the run [0, π]).

to begin with, [tex]cos^−1(cos(a)) = a[/tex], in the event that a is within the range [0, π].

In any case, in this case, a = 16π/3 radians, which is more prominent than 2π (i.e., a full circle), so we got to bring it back into the range [0, π]. We will do this by subtracting 2π from an until it is within the run [0, π]:

a = 16π/3 - 2π = 10π/3

Directly, we are ready to utilize the character[tex]cos(cos^−1(x)) = x[/tex] once more to rearrange the expression:

[tex]cos^−1(cos(a)) = cos^−1(cos(10π/3)) = 10π/3 - 2π = 4π/3[/tex]

Therefore,[tex]cos^−1(cos(a))[/tex] simplifies to 4π/3. 

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a. If all countries act in their self-interest, each country will choose a level of abatement zi = 99.50.

b. We conclude that there is no level of abatement that maximizes the collective payoff.

c. There is no efficiency gain from full cooperation.

A derivative of a function with respect to an independent variable is what is referred to as differentiation. Calculus's concept of differentiation can be used to calculate the function per unit change in the independent variable.

(a) If all countries act in their self-interest, they will choose the level of abatement zi that maximizes their own payoff Ti. To find this level, we need to differentiate Ti with respect to zi and set the result equal to zero:

dTi/dzi = d(B;(Z) – C(zi))/dzi = d(B;(Z))/dZ * dZ/dzi - d(C(zi))/d(zi) = 10 - 0.01Zi - 50zi

Setting this expression equal to zero, we get:

10 - 0.01Zi - 50zi = 0

Solving for Zi, we get:

Zi = (10 - 0.01Zi)/50

Zi = 0.2 - 0.002Zi

Zi = 0.2/(1 + 0.002)

Zi = 99.50

Therefore, if all countries act in their self-interest, each country will choose a level of abatement zi = 99.50.

(b) If the countries cooperate to maximize the collective payoff, they will jointly choose the level of abatement that maximizes the expression:

II = B;(Z) - C(zi)

To find the optimal level of abatement, we need to differentiate II with respect to zi and set the result equal to zero:

dII/dzi = d(B;(Z))/dZ * dZ/dzi - d(C(zi))/d(zi) = 10 - 0.01Z - 50zi

Setting this expression equal to zero, we get:

10 - 0.01Z - 50zi = 0

Solving for Zi, we get:

Z = (10 - 50zi)/0.01

Z = 1000 - 5000zi

Substituting this expression for Z into the expression for zi, we get:

zi = 0.2 - 0.002(1000 - 5000zi)

zi = 0.2 - 2 + 10zi

11.8zi = -2

zi = -0.17

This result is not physically meaningful since zi must be non-negative. Therefore, we conclude that there is no level of abatement that maximizes the collective payoff.

(c) Since there is no level of abatement that maximizes the collective payoff, cooperation does not result in a Pareto improvement in this case. There is no efficiency gain from full cooperation.

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T = 29 minutes.

The rate of hits per minute is 12, and the time interval of interest is from 8:14 P.M. to 8:43 P.M., which is 29 minutes. However, we need to adjust for the fact that the Poisson process is occurring within a larger time frame (7:00 P.M. to 9:00 P.M.).

To do this, we can find the proportion of time between 8:14 P.M. and 8:43 P.M. relative to the entire 2-hour period between 7:00 P.M. and 9:00 P.M.:

(29 minutes) / (2 hours × 60 minutes per hour) = 0.2417

So, the expected number of hits within the interval from 8:14 P.M. to 8:43 P.M. is:

lambda = (0.2417)(12 hits per minute) = 2.901

Thus, lambda = 2.901 hits per 29-minute period.

The value of t for this Poisson process is the length of the time interval we are interested in, which is:

t = 29 minutes.

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Part A:

Conclusion: MARTA should not expand the rail system.

Premise 1: MARTA buses help connect areas that could be difficult to access for those without a vehicle.

Premise 2: The many benefits offered by MARTA's bus service make it easy to create an argument that expanding the bus system is the best option for those making the decisions on what the sales tax referendum money should go towards.

Standardized Argument:

(1) MARTA buses help connect areas that could be difficult to access for those without a vehicle.

(2) The many benefits offered by MARTA's bus service make it easy to create an argument that expanding the bus system is the best option for those making the decisions on what the sales tax referendum money should go towards.

Therefore, (3) MARTA should not expand the rail system.

Part B:

Premise 1 is an empirical statement because it describes the current situation with MARTA buses. Premise 2 is a statement that involves value judgments because it claims that expanding the bus system is the best option based on the benefits it offers.

Part C:

The truth of premise 1 is not controversial as it is an empirical statement. However, the truth of premise 2 may be controversial because it is based on value judgments and may be subject to different opinions.

Part D:

Premise 1 accurately describes the world because it is an empirical statement. Premise 2 accurately describes the potential benefits of expanding the bus system, but it may not accurately represent the views of those who think that expanding the rail system is a better option.

Part E:

The argument does not pass the true premise test because premise 2 may not be uncontroversially true.

Part F:

The argument is inductive because the premises provide reasons to support a probable conclusion rather than a necessary conclusion.

Part G:

The form of the argument is an argument from value because it is based on value judgments about the benefits of expanding the bus system.

Part H:

The premises are relevant to the conclusion because they provide reasons for why expanding the bus system is a better option than expanding the rail system.

Part I:

The argument does not contain any fallacies.

Part J:

The argument is weak because it does not pass the true premise test.

Part K:

The argument is not cogent because it is weak, meaning it is not both strong and has true premises. The argument is not strong because premise 2 is not uncontroversially true. Therefore, the argument is unsound.

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Suzanne is correct in stating that the derivative of a cubic function will always be a quadratic function.

Suzanne's statement is correct. A cubic function is a function of the form [tex]f(x) = ax^3 + bx^2 + cx + d[/tex], where a, b, c, and d are constants.

To find its derivative, we need to differentiate each term of the function with respect to x. The derivative of a constant term d is 0, so we can ignore it. We have:

[tex]f'(x) = 3ax^2 + 2bx + c[/tex]

As we can see, the derivative of a cubic function is a quadratic function of the form g(x) = [tex]3ax^2 + 2bx + c[/tex].

Therefore, Suzanne is correct.

Recall that a cubic function is a function of the form[tex]f(x) = ax^3 + bx^2 + cx + d,[/tex]

where a, b, c, and d are constants.

To find the derivative of this function, we need to differentiate each term with respect to x.

The derivative of a constant term d is 0, so we can ignore it.

Applying the power rule of differentiation, we get:

[tex]f'(x) = 3ax^2 + 2bx + c[/tex]

As we can see, the derivative of a cubic function is a quadratic function of the form g(x) = [tex]3ax^2 + 2bx + c.[/tex]

Therefore, Suzanne is correct in stating that the derivative of a cubic function will always be a quadratic function.

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