Assume that C(x) is in dollars and x is the number of units produced and sold. For the total-cost function C(x) 0.01x" +0.4x + 50, find ΔC and C'(x) when x-90 and ΔΧΖ 1.

Answers

Answer 1

When x = 90, ΔC = $5.31 and C'(x) = 2.2.
Given the total-cost function C(x) = 0.01x^2 + 0.4x + 50, we'll first find the change in cost (ΔC) and then the derivative of the cost function (C'(x)) when x = 90 and Δx = 1.

To find ΔC when x = 90 and ΔΧΖ = 1, we need to use the formula:
ΔC = C(x + ΔΧΖ) - C(x)
Substituting the values, we get:
ΔC = C(90 + 1) - C(90)
ΔC = C(91) - C(90)
ΔC = [0.01(91)^2 + 0.4(91) + 50] - [0.01(90)^2 + 0.4(90) + 50]
ΔC = 91.31 - 86
ΔC = $5.31
To find C'(x), we need to take the derivative of the total-cost function C(x):
C(x) = 0.01x^2 + 0.4x + 50
C'(x) = 0.02x + 0.4
Substituting x = 90, we get:
C'(90) = 0.02(90) + 0.4
C'(90) = 1.8 + 0.4
C'(90) = 2.2
Therefore, when x = 90, ΔC = $5.31 and C'(x) = 2.2.
Given the total-cost function C(x) = 0.01x^2 + 0.4x + 50, we'll first find the change in cost (ΔC) and then the derivative of the cost function (C'(x)) when x = 90 and Δx = 1.
1. To find ΔC, evaluate C(x + Δx) - C(x) when x = 90 and Δx = 1:
ΔC = C(90 + 1) - C(90) = C(91) - C(90)
2. Now, let's find the derivative of the cost function C(x):
C'(x) = d(0.01x^2 + 0.4x + 50)/dx = 0.02x + 0.4
3. Evaluate C'(x) when x = 90:
C'(90) = 0.02(90) + 0.4 = 1.8 + 0.4 = 2.2
So, ΔC = C(91) - C(90), and C'(x) when x = 90 is 2.2.

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Related Questions

Determine whether the following statement is true or false.
A parabola with focal diameter 3 is narrower than a parabola with focal diameter 2.Choose the correct answer below.OA. The statement is false because the focal diameter determines the size of the opening of the parabola. The larger the focal diameter, the wider the parabola.
OB. The statement is false because the size of the opening of the parabola depends upon the distance between the vertex and the focus.
OC. The statement is true because the focal diameter determines the size of the opening of the parabola. The larger the focal diameter, the narrower the parabola.
OD. The statement is false because the size of the opening of the parabola depends on the position of the vertex and the focus on the coordinate system.

Answers

The answer is : OA. The statement is false because the focal diameter determines the size of the opening of the parabola. The larger the focal diameter, the wider the parabola.

The statement is false because the size of the opening of a parabola is determined by the distance between its focus and directrix, not by the focal diameter. The focal diameter is defined as the distance between the two points on the parabola that intersect with the axis of symmetry and lie on opposite sides of the vertex. It is twice the distance between the focus and vertex.

In a standard parabolic equation of the form y = ax^2 + bx + c, the coefficient a determines the "width" of the parabola. If a is positive, the parabola opens upwards, and if a is negative, the parabola opens downwards. The larger the absolute value of a, the narrower the parabola.

Therefore, a parabola with a larger focal diameter actually has a wider opening, since it corresponds to a smaller absolute value of a in the standard equation. Hence, the statement "A parabola with focal diameter 3 is narrower than a parabola with focal diameter 2" is false.

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determine the set of points at which the function is continuous h(x, y) = (e^x e^y)/ (e^xy - 1)

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The set of points at which the function is continuous h(x, y) = (eˣ eʸ)/ (eˣʸ - 1) when xy is not zero,or x or y is not zero.

To determine the set of points at which the function h(x, y) = (eˣ eʸ)/ (eˣʸ - 1) is continuous,

we need to look at the denominator of the expression, eˣʸ - 1. This denominator is equal to zero only when eˣʸ = 1, which means that xy = 0.

Therefore, the set of points where the function h(x, y) is not continuous is when xy = 0, or when x = 0 or y = 0.

At these points, the denominator of the expression becomes zero, and the function is not defined.

Thus, the set of points where the function h(x, y) is continuous is when xy ≠ 0, or when x ≠ 0 and y ≠ 0.

At these points, the denominator of the expression is never zero, and the function is well-defined and continuous.

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Multiply using the generic rectangle. Write your answer in standard form (area as sum)
(3x-4)(2x+1)

Answers

The product in standard form that is the area as sum of the generic rectangle is given by 6x² - 5x - 4.

Given the expression is:

(3x - 4)(2x + 1)

Multiplying the algebraic terms we get,

(3x - 4)(2x + 1)

= (3x)*(2x) - 4*(2x) + 1*(3x) - 4*1

= 6x² - 8x + 3x - 4

= 6x² + (3 - 8)x - 4

= 6x² + (-5)x - 4

= 6x² - 5x - 4

Hence the product of the algebraic expressions that is the area as sum of the generic rectangle is given by 6x² - 5x - 4.

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FILL IN THE BLANK. According to some reports, the proportion of American adults who drink coffee daily is 0.54. Given that parameter, if samples of 500 are randomly drawn from the population of American adults, the mean and standard deviation of the sample proportion are _____, respectively. 0.54 and 0.498 270 and 124.2 0.54 and 11.145 0.54 and 0.0223

Answers

According to some reports, the proportion of American adults who drink coffee daily is 0.54. Given that parameter, if samples of 500 are randomly drawn from the population of American adults, the mean and standard deviation of the sample proportion are 0.54 and 0.0223, respectively.

The standard deviation of a population or sample and the standard error of a statistic are quite different, related. The sample mean's standard is the standard deviation . The standard deviation of the set of means that would be found by  an infinite number of repeated samples,  from the population and computing a mean.

The mean's standard out to the equal the population, the standard deviation is divided by the square root of the sample size,  by using the sample standard deviation divided by the square root of the sample size. For a poll's standard is the expected standard deviation of the estimated mean if the same poll were to be conducted multiple times. Thus, the standard error estimates the standard deviation of an estimate, which itself measures how much the estimate depends on the particular sample that was taken from the population.

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use any test to determine whether the series is absolutely convergent, conditionally convergent, or divergent. [infinity] n = 2 5n ln(n) n

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The integral diverges, the series ∑(n = 2 to ∞) 5n ln(n) / n also divergent series.

How to determine convergence of the series?

To determine the convergence of the series ∑(n = 2 to infinity) 5n ln(n) / n, we can apply the Integral Test.

The Integral Test states that if f(x) is a positive, continuous, and decreasing function on the interval [n, ∞), and f(n) = aₙ, then the series  ∑(n = 2 to ∞) aₙ is convergent if and only if the integral ∫(n = 2 to ∞) f(x) dx is convergent.

In this case, let's consider f(x) = 5x ln(x) / x.

Taking the integral of f(x) from 2 to ∞:

∫(x = 2 to ∞) (5x ln(x) / x) dx = 5∫(x = 2 to ∞) ln(x) dx

Using integration by parts (u-substitution), let u = ln(x) and dv = dx:

∫(x = 2 to ∞) ln(x) dx = x ln(x) - ∫(x = 2 to ∞) x / x dx

= x ln(x) - ∫(x = 2 to ∞) 1 dx

= x ln(x) - x | (x = 2 to ∞)

= ∞ - 2 ln(2) - (2 ln(2) - 2)

= ∞

Since the integral diverges, the series ∑(n = 2 to infinity) 5n ln(n) / n also diverges.

Therefore, the series is divergent.

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Select all of the options that correspond to possible bootstrap samples from the following sample values: -8, -3, 13, 2, 15 -3,-8, 13, 2, 2 0 -3, 13, -8, -8,-3, 31, 14, -2 -8, -8, -8,-8, -8 15, 2, 15, 2, -3

Answers

The possible bootstrap samples from the given sample values are:

-3,-8,13,2,2

0,-3,13,-8,-8,-3,31,14,-2

-8,-8,-8,-8,-8

15,2,15,2,-3

What are the possible bootstrap samples from the given sample values?

Bootstrap sampling is a statistical technique for estimating the sampling distribution of an estimator by sampling with replacement from the original sample data. The possible bootstrap samples from the given sample values can be obtained by randomly selecting samples of the same size as the original sample, with replacement.

The selected values are then used to form the bootstrap sample. The number of possible bootstrap samples is very large and depends on the size of the original sample.

In this case, we are given a sample of size 5 with values -8, -3, 13, 2, 15. To obtain the possible bootstrap samples, we can randomly select 5 values from this sample with replacement. One possible bootstrap sample is -3,-8,13,2,2. Similarly, we can repeat this process to obtain other possible bootstrap samples, which are 0,-3,13,-8,-8,-3,31,14,-2, -8,-8,-8,-8,-8, and 15,2,15,2,-3.

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Compute the surface area of revolution about the x-axis over the interval [0, 1] for y = 8 sin(x). (Use symbolic notation and fractions where needed.) S =

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the surface area of revolution about the x-axis over the interval [0,1] for y = 8 sin(x) is π/2 (65^(3/2) - 1)/8.

To find the surface area of revolution, we use the formula:

S = 2π∫[a,b] f(x)√[1 + (f'(x))^2] dx

where f(x) is the function we are revolving around the x-axis.

In this case, we have f(x) = 8sin(x) and we want to find the surface area over the interval [0,1]. So, we first need to find f'(x):

f'(x) = 8cos(x)

Now we can plug in the values into the formula:

S = 2π∫[0,1] 8sin(x)√[1 + (8cos(x))^2] dx

To evaluate this integral, we can use the substitution u = 1 + (8cos(x))^2, which gives us:

du/dx = -16cos(x) => dx = -du/(16cos(x))

Substituting this into the integral, we get:

S = 2π∫[1,65] √u du/16

Simplifying and solving for S, we get:

S = π/2 [u^(3/2)]_[1,65]/8

S = π/2 [65^(3/2) - 1]/8

S = π/2 (65^(3/2) - 1)/8

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Mateo is filling a cylinder-shaped swimming pool that has a diameter of


20 feet and a height of 4. 5 feet. He fills it with water to a depth of 3 feet.

Answers

The volume of water in the pool is 942 cubic feet.

Here, we have

Given:

A swimming pool with a diameter of 20 feet and a height of 4.5 feet is being filled by Mateo. He adds water till it is 3 feet deep. The pool's water volume must be determined.

Use the formula for the volume of a cylinder, which is provided as V = r2h, to get the volume of the cylinder pool. V stands for the cylinder's volume, r for its radius, h for its height, and for pi number, which is 3.14.

Here, we have a diameter = 20 feet.

As a result, the cylinder's radius is equal to 10 feet, or half of its diameter.

We are also informed that the cylinder has a height of 4.5 feet and a depth of 3 feet.

As a result, the pool's water level is 3 feet high. When the values are substituted into the formula, we get:

V = πr²h = 3.14 x 10² x 3 = 942 cubic feet

Therefore, the volume of water in the pool is 942 cubic feet.

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LetX1​ and X2​ be independent chi-square random variables with r1​ andn r2​ ndegrees of freedom, respectively. Let Y1​=(X1​/r1​)/(X2​/r2​) and Y2​=X2​ a. Find the joint pdf of Y1​ and Y2​ . b. Determine the marginal pdf of Y1​ and show that Y1​
has an F distribution. (This is another, but equivalent, way of finding the pdf of F.)

Answers

a. To find the joint pdf of Y1 and Y2, we can start by finding the transformation from (X1, X2) to (Y1, Y2):

Joint probability density function (joint PDF) is a concept used in probability theory and statistics to describe the probability distribution of multiple random variables simultaneously. It defines the likelihood of observing specific combinations of values for the variables.

Y1 = (X1/r1)/(X2/r2)

Y2 = X2

Solving for X1 and X2, we get:

X1 = r1Y1Y2

X2 = Y2

The Jacobian of this transformation is:

|J| = r1Y2

Using the transformation formula for joint pdfs, we have:

fY1,Y2(y1,y2) = [tex]fX1,X2(x1,x2) / |J|[/tex]

                    = [tex]fX1(r1y1y2, y2) * fX2(y2) / r1y2[/tex]

            =  [tex](1/2^(r1/2) * Gamma(r1/2)^(-1) * (r1y1y2)^(r1/2 - 1) * e^(-r1y1y2/2)) *(1/2^(r2/2) * Gamma(r2/2)^(-1) * y2^(r2/2 - 1) * e^(-y2/2)) / (r1y2)[/tex]

Simplifying this expression, we get:

[tex]fY1,Y2(y1,y2) = (r1r2/2^(r1/2 + r2/2) * Gamma(r1/2)^(-1) * Gamma(r2/2)^(-1) * y1^(r1/2 - 1) * y2^(r2/2 - 1) * e^(-(r1y1+y2)/2)) / y2[/tex]

b.  Y1 has an F distribution.

The marginal probability density function (marginal PDF) is a probability density function that describes the distribution of a single random variable from a joint probability distribution. It is obtained by integrating the joint PDF over all possible values of the other variables, effectively "marginalizing" or summing out the unwanted variables.

To find the marginal pdf of Y1, we integrate the joint pdf over Y2:

fY1(y1) = ∫fY1,Y2(y1,y2) dy2

       =[tex](r1r2/2^(r1/2 + r2/2) * Gamma(r1/2)^(-1) * Gamma(r2/2)^(-1) * y1^(r1/2 - 1) * e^(-r1y1/2) * ∫y2^(r2/2 - 1) * e^(-y2/2) / y2 dy2)[/tex]

       =[tex](r1/(r1 + 2y1))^(r1/2) / (B(r1/2, r2/2) * 2^(r1/2))[/tex]

where B is the beta function.

Recognizing the expression inside the integral as the pdf of a chi-square distribution with r2 degrees of freedom, we can evaluate the integral and simplify the result to get:

[tex]fY1(y1) = (r1/r2)^(r1/2) * y1^(r1/2 - 1) * (1 + r1/r2 * y1)^(-(r1+r2)/2) / (B(r1/2, r2/2) * 2^(r1/2))[/tex]

This is the pdf of an F distribution with r1 and r2 degrees of freedom, where F = Y1/(r1/r2).

Therefore, we have shown that Y1 has an F distribution.

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Let p. Q, and r be the propositions:


p: You get a present for your birthday


q: You remind your friends about your birthday


r: You are liked by your friends.


Write the following propositions using p. Q. R, and logical symbols:- → AV.


a) If you are liked by your friends you will get a present.


b) You do not get a present for your birthday if and only if either you do not remind


your friends about your birthday or your friends do not like you (or both).

Answers

The following propositions can be written: a) p → r (If you are liked by your friends, you will get a present). b) ¬p ↔ (¬q ∨ ¬r) (You do not get a present for your birthday if and only if either you do not remind your friends about your birthday or your friends do not like you).

a) To represent the proposition "If you are liked by your friends, you will get a present," we can use the conditional operator →. So, the proposition can be written as p → r, where p represents "You get a present for your birthday" and r represents "You are liked by your friends." This statement implies that if p is true (you get a present), then r must also be true (you are liked by your friends).

b) The proposition "You do not get a present for your birthday if and only if either you do not remind your friends about your birthday or your friends do not like you (or both)" involves the use of the biconditional operator ↔. Let's break it down:

¬p represents "You do not get a present for your birthday."

¬q represents "You do not remind your friends about your birthday."

¬r represents "Your friends do not like you."

Combining these propositions, we can write the statement as ¬p ↔ (¬q ∨ ¬r), which means that ¬p is true if and only if either ¬q or ¬r (or both) is true. This statement implies that if you do not get a present, it is because either you did not remind your friends about your birthday or your friends do not like you (or both).

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Which choices are equivalent to the fraction below

Answers

Answer:

B, E

Step-by-step explanation:

10/40 = 1/4

A. 1/2 no

B. 5/20 = 1/4 yes

C. 5/10 = 1/2 no

D. 2/5 no

E. 1/4 yes

F 10/20 = 1/2 no

Answer: E-1/4

Step-by-step explanation:

Simplify; 10/40 = 1/4


10 goes into 40 exactly four times, so 10/40 is simplified to 1/4.

Or, just take of the zeros.

suppose we toss a fair coin until we get exactly two heads. describe the sample space s. what is the probability that exactly k tosses are required?

Answers

The probability that exactly k tosses are required such that to get exactly two heads is given by P(k) =   [tex]\frac{1}{2}^{k}[/tex] for k = 2, 3, 4, ...

The sample space S consists of all possible sequences of tosses of a fair coin until exactly two heads are obtained.

Represent a head with H and a tail with T.

For example, one possible sequence in S is,

HTTTHH

This represents 6 tosses, with the first two being a head and a tail, the next three being tails, and the final two being heads.

Another example in S is.

HH

This represents 2 tosses, with both being heads.

The sample space S is infinite, since we could continue tossing the coin indefinitely until we get exactly two heads.

To find the probability that exactly k tosses are required, use the following reasoning.

For exactly k tosses to be required,

Need to get exactly one head in the first k-1 tosses, followed by a head in the kth toss.

The probability of getting exactly one head in the first k-1 tosses is [tex]\frac{1}{2} ^{k-1}[/tex].

Since each toss is independent and has a probability of 1/2 of resulting in a head.

The probability of getting a head on the kth toss is also 1/2.

P(k) =  [tex]\frac{1}{2} ^{k-1}[/tex]x (1/2)

       = [tex]\frac{1}{2}^{k}[/tex]

for k = 2, 3, 4, ...

This is a geometric probability distribution with parameter p = 1/2.

Therefore, the probability that exactly k tosses are required to obtain exactly two heads is P(k) =   [tex]\frac{1}{2}^{k}[/tex] for k = 2, 3, 4, ...

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d. Based on the December 31, Year 2, balance sheet, what is the largest cash dividend Dakota could pay

Answers

Based on the Year 2 balance sheet, the largest cash dividend that Dakota could pay is $16,500.

What is the largest cash dividend Dakota could pay?

Cash dividends refers to the payments that companies make to their shareholders which is usually on the strength of earnings. They often represent opportunity for companies to share the benefit of business profits.

Based on the balance sheet, the largest cash dividend that Dakota could pay in Year 2 is:

= $ 31,500 + $ 5,000 - $ 20,000

= $ 16,500.

Missing questions:Dakota Company experienced the following events during Year 2:

Acquired $20,000 cash from the issue of common stock.

Paid $20,000 cash to purchase land.

Borrowed $2,500 cash.

Provided services for $40,000 cash.

Paid $1,000 cash for utilities expense.

Paid $20,000 cash for other operating expenses.

Paid a $5,000 cash dividend to the stockholders.

Determined that the market value of the land purchased in Event 2 is now $25,000.

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The jet car is originally traveling at a velocity of 10 m/s when it is subjected to the acceleration shown. Determine the car's maximum velocity and the time t' when it stops. When t = 0, s = 0. =

Answers

The maximum velocity of the car is 0 m/s and the time t' when it stops is t' = -10/a when subjected to acceleration.

Given that the jet car is originally traveling at a velocity of 10 m/s and is subjected to acceleration, we need to determine the car's maximum velocity and the time t' when it stops.

We can use the equation of motion:
v = u + at

Where:
v = final velocity
u = initial velocity
a = acceleration
t = time

Let's assume that the car comes to a stop at time t' and the final velocity is 0 m/s.
0 = 10 + at'
t' = -10/a

Now, to determine the maximum velocity, we can use another equation of motion:
[tex]v^2 = u^2 + 2as[/tex]

Where:
s = distance

As the car stops, the distance traveled before coming to a stop will be:
[tex]s = ut' + (1/2)at'^2[/tex]

Substituting the value of t' in the above equation, we get:
[tex]s = 10(-10/a) + (1/2)a(-10/a)^2[/tex]
s = -50/a

Now, substituting the values of s, u, and a in the equation of motion, we get:
[tex]v^2 = 10^2 + 2a(-50/a)[/tex]
[tex]v^2 = 100 - 100\\v^2 = 0[/tex]

v = 0 m/s

Hence, the maximum velocity of the car is 0 m/s and the time t' when it stops is t' = -10/a.


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Can somebody please help me?


f(x) = 5x5 – 13x4 + x3 and g(x) = 14x4 – x5 + 16x3. What is f(x) – g(x)? Show all steps and write your answer in factored form

Answers

Therefore, the simplified and factored expression for f(x) - g(x) is x^3(4x^2 - 27x - 15).

To find the expression for f(x) - g(x), we subtract the terms of g(x) from f(x) term by term.

f(x) = 5x^5 - 13x^4 + x^3

g(x) = 14x^4 - x^5 + 16x^3

Subtracting term by term:

f(x) - g(x) = (5x^5 - 13x^4 + x^3) - (14x^4 - x^5 + 16x^3)

Rearranging the terms:

f(x) - g(x) = 5x^5 - 13x^4 + x^3 - 14x^4 + x^5 - 16x^3

Combining like terms:

f(x) - g(x) = (5x^5 - x^5) + (-13x^4 - 14x^4) + (x^3 - 16x^3)

Simplifying:

f(x) - g(x) = 4x^5 - 27x^4 - 15x^3

So, the expression for f(x) - g(x) in factored form is:

f(x) - g(x) = x^3(4x^2 - 27x - 15)

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A particle moves along the x-axis with a position given by the equation x=5+3t, where x is in meters, and t is in seconds. The positive direction is east. Which of the following statements about the particle is false?

Answers

The given position equation x=5+3t represents a particle moving in the positive direction of the x-axis, which is east. The coefficient of t is positive, indicating that the position of the particle increases with time.

Hence, the particle moves away from the origin in the eastward direction.

Therefore, the false statement about the particle is that it moves in the negative direction (west) of the x-axis. It is essential to understand the direction of motion of a particle in a one-dimensional motion problem, as it helps us to determine the sign of the velocity and acceleration, which are crucial in analyzing the motion of the particle.

In this case, the velocity is constant and positive, and the acceleration is zero, indicating that the particle moves at a constant speed in a straight line.

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Problem 2. Consider the following recurrences and solve them using the unrolling method (i.e. find a suitable function f(n) such that T(n) € O(f(n))). (a) T(n) = {2161-2 :n < 2, 2T(n − 2) +1 :n > 2. : Answer. (b) <3, T(n) = m) {T(n − 3) + on instag = Answer.

Answers

The solution of the function is 3, 3, 7, 15, 15 and 31.

Let's look at the recurrence relation you mentioned: T(n) = { 3 : n< 2 , 2T(n-2) + 1 : n≥ 2. This formula defines the function T(n) recursively, in terms of its previous values. To solve it using the unrolling method, we need to start with the base case T(0) and T(1), which are given by the initial condition T(n) = 3 when n < 2.

T(0) = 3

T(1) = 3

Next, we can use the recurrence relation to calculate T(2) in terms of T(0) and T(1):

T(2) = 2T(0) + 1 = 2*3 + 1 = 7

We can continue this process to compute T(3), T(4), and so on, by using the recurrence relation to "unroll" the formula and express each term in terms of the previous ones:

T(3) = 2T(1) + 1 = 23 + 1 = 7

T(4) = 2T(2) + 1 = 27 + 1 = 15

T(5) = 2T(3) + 1 = 27 + 1 = 15

T(6) = 2T(4) + 1 = 215 + 1 = 31

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Complete Question:

Consider the following recurrences and solve them using the unrolling method

a) T(n) = { 3 : n< 2 , 2T(n-2) + 1 : n≥ 2

Find the degree of the polynomial.

7m^16n^11

Answers

The degree of the polynomial7m¹⁶n¹¹ is 27.

What is the degree of the polynomial?

A polynomial is an algebraic expression consisting of variables and coefficients.

The degree of a polynomial is the highest degree of any of its terms.

In the given expression, the term is 7m¹⁶n¹¹;

This term consists of two variables, m and n, raised to exponents 16 and 11 respectively. The coefficient of this term is 7.

The degree of a term in a polynomial is the sum of the exponents of the variables in that term.

degree = exponent of m + exponent of n

= 16 + 11

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A plane flies against the wind 288 miles from San Jose and then returns home with the same wind. The wind speed is 60m / h. The total flying time was 2 hours , what is the speed of the plane ?

Answers

The speed of the plane is 12.5 mph.

The speed of the wind is given as 60 mph.
According to the problem,
Time taken to travel the distance against the wind + Time taken to travel the same distance with the wind = Total time taken to travel both distances
Let's find out the time taken to travel a distance against the wind:
Distance = 288 miles
Speed = (x - 60) mph
Time = Distance / Speed
Time taken to travel 288 miles against the wind = 288 / (x - 60)
Similarly, Time taken to travel 288 miles with the wind = 288 / (x + 60)
According to the problem, the total flying time was 2 hours.
Hence,288 / (x - 60) + 288 / (x + 60) = 2
Multiplying the whole equation by (x - 60) (x + 60), we get
288 (x + 60) + 288 (x - 60) = 2 (x - 60) (x + 60)
576x = 7200x = 12.5 mph

Therefore, the speed of the plane is 12.5 mph.

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Suppose that a jury pool consists of 27 people, 14 of which are men and 13 of which are women. (a) If the jury must consist of 6 men and 6 women, how many different juries are possible? (b) Again suppose that the jury must consist of 6 men and 6 women. Suppose too that the jurors must be seated so that no two people of the same sex are seated next to each other. How many different seating arrangements are possible? (Note that I’m not saying that we know which men and women are on the jury at first. You need to count the number for each possible jury seating for each possible jury.)

Answers

There are 5,040 different seating arrangements possible.

(a) To find the number of different juries possible, we can use the combination formula. We want to choose 6 men out of 14 and 6 women out of 13, so we have:

C(14, 6) x C(13, 6) = 1,352,697,600

Therefore, there are 1,352,697,600 different juries possible.

(b) To find the number of different seating arrangements possible, we can use the permutation formula. We know that we need to seat the jurors so that no two people of the same sex are seated next to each other. Let's start with the men - we have 6 men to seat, and they cannot be seated next to each other. We can think of this as creating "gaps" for the men to sit in. For example, if we have 6 men, we would need 7 gaps: _ M _ M _ M _ M _ M _ (where the underscores represent the gaps). Then we can choose which gaps the men will sit in, which we can do using the combination formula. We have 7 gaps to choose from, and we need to choose 6 of them for the men to sit in. Therefore, we have:

C(7, 6) = 7

Now we can seat the women in the gaps between the men. We have 6 women to seat, and we have 7 gaps for them to sit in (including the gaps at the ends). We can think of this as arranging the women and gaps in a line:

_ M _ M _ M _ M _ M _

We need to choose which 6 of the 7 gaps the women will sit in, and then arrange the women in those gaps. We can choose the gaps using the combination formula, and then arrange the women in those gaps using the permutation formula. Therefore, we have:

C(7, 6) x P(6, 6) = 7 x 720 = 5,040

Therefore, there are 5,040 different seating arrangements possible.

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minimize q=5x^2 4y^2 where x y=9

Answers

The determinant of the Hessian matrix is positive (80), and the second partial derivative with respect to x is positive, so the critical point is a minimum. Therefore, the minimum value of q is 285.

To minimize q=5x^2+4y^2 subject to the constraint x+y=9, we can use the method of Lagrange multipliers.

Let L = 5x^2 + 4y^2 - λ(x+y-9), where λ is the Lagrange multiplier.

Taking the partial derivatives of L with respect to x, y, and λ and setting them equal to zero, we get:

∂L/∂x = 10x - λ = 0

∂L/∂y = 8y - λ = 0

∂L/∂λ = x + y - 9 = 0

Solving these equations simultaneously, we get:

x = 18/7, y = 63/7, λ = 180/49

We can verify that this critical point is a minimum by checking the second partial derivatives of L. The second partial derivatives are:

∂^2L/∂x^2 = 10, ∂^2L/∂y^2 = 8, ∂^2L/∂x∂y = 0

The determinant of the Hessian matrix is positive (80), and the second partial derivative with respect to x is positive, so the critical point is a minimum.

Therefore, the minimum value of q is:

q = 5(18/7)^2 + 4(63/7)^2 = 1995/7 ≈ 285.

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The lifetime of a particular integrated circuit has an exponential distribution with mean 2 years. a) Find the probability that the circuit lasts longer than 3 year. b) Assume the circuit is now four years old and is still functioning. Find the probability that it functions for more than three additional years.

Answers

The probability that the integrated circuit lasts longer than 3 years is approximately 22.31%. Also, the probability that the circuit functions for more than three additional years, given that it is already four years old and still functioning, is approximately 0.098.

a) To find the probability that the circuit lasts longer than 3 years, we need to use the cumulative distribution function (CDF) of the exponential distribution:
P(X > 3) = 1 - P(X <= 3) = 1 - F(3)
where X is the lifetime of the circuit and F(x) is the CDF of the exponential distribution with a mean of 2 years. The CDF of the exponential distribution is:
F(x) = 1 - e^(-λx)
where λ = 1/2 (since the mean is 2 years).
Therefore,
P(X > 3) = 1 - F(3) = 1 - (1 -  e^(-λx)) = e^(-λx) = e^(-1.5) ≈ 0.223
So the probability that the circuit lasts longer than 3 years is approximately 0.223.

b) To find the probability that the circuit functions for more than three additional years, given that it is already four years old and still functioning, we need to use the conditional probability formula:
P(X > 7 | X > 4) = P(X > 7 and X > 4) / P(X > 4)
where X is the lifetime of the circuit.
Since the circuit is already four years old and still functioning, we know that it has survived at least 4 years. So we can use the memoryless property of the exponential distribution to calculate the conditional probability as follows:
P(X > 7 | X > 4) = P(X > 3) / P(X > 4)
where we have subtracted 4 from both sides of the inequality in the numerator. Using the CDF of the exponential distribution as before, we have:
P(X > 7 | X > 4) = e^(-1.5) / (1 - F(4))
where F(4) = 1 - e^(-1) ≈ 0.632. Therefore,
P(X > 7 | X > 4) = e^(-1.5) / (1 - 0.632) ≈ 0.098
So the probability that the circuit functions for more than three additional years, given that it is already four years old and still functioning, is approximately 0.098.

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The north rose window in the Rouen Carhedrial in France has a diameter of 23 feee. The stained glass design is equally spaced about the center of the circle. What is the area of the sector bounded by the arc GJ?

Answers

The area of the sector bounded by the arc GJ is 25.97 square feet

What is the area of the sector bounded by the arc GJ?

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

Diameter  = 23 feet

Also, we have

Central angle bounded by arc GJ = 1/16 * 360

So, we have

Central angle bounded by arc GJ = 22.5

The area of the sector bounded by the arc GJ is then calculated as

Area = Central angle/360 * πr²

This gives

Area = 22.5/360 * π * (23/2)²

Evaluate

Area = 25.97

Hence, the area of the sector bounded by the arc GJ is 25.97 square feet

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entify the equation of the elastic curve for portion ab of the beam. multiple choice y=w2ei(−x4 lx3−4l2x2) y=w2ei(−x4 4lx3−4l2x2) y=w24ei(−x4 lx3−l2x2) y=w24ei(−x4 4lx3−4l2

Answers

The equation of the elastic curve for portion ab of the beam is y = w/24 * e^(-x/4 * l) * (4l^2 - x^2)

The elastic curve equation for a simply supported beam with a uniformly distributed load is y = (w/(24 * EI)) * (x^2) * (3l - x), where w is the load per unit length, E is the modulus of elasticity, I is the moment of inertia, x is the distance from the left end of the beam, and l is the length of the beam.

In this case, we are given a load w, and a beam of length l. The elastic curve equation is given as y = w/24 * e^(-x/4 * l) * (4l^2 - x^2), which is a variation of the standard equation. The e^(-x/4 * l) term represents the deflection due to the load, while the (4l^2 - x^2) term represents the curvature of the beam.

To derive this equation, we first find the deflection due to the load by integrating the load equation over the length of the beam. This gives us the expression for deflection as a function of x.

We then use the moment-curvature relationship to find the curvature of the beam as a function of x. Finally, we combine these two expressions to get the elastic curve equation for the beam.

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Use the method of Frobenius to find a power series solution (about x = 0, obvs) of Bessel's equation of order zero x^2y" + xy' + x^2y = 0 Your answer should be the Bessel function of order zero of the first kind, and look like: J_0 (x) = sigma^infinity_n=0 (-1)^n x^2n/2^2n(n!)^2

Answers

[tex]J0(x) = Σn=0^∞ (-1)n(x/2)2n / (n!)2[/tex]

To use the method of Frobenius to find a power series solution of Bessel's equation of order zero, we assume a solution of the form:

[tex]y(x) = Σn=0^∞ anxn+r[/tex]

where r is a constant to be determined later. Substituting this into the equation, we get:

[tex]x^2(Σn=0^∞ anxn+r) + x(Σn=0^∞ an+1(x^n+r+1)) + x^2(Σn=0^∞ an(x^n+r)) = 0[/tex]

Multiplying out and collecting terms, we get:

[tex]Σn=0^∞ (n+r)(n+r-1)anxn+r + Σn=0^∞ (n+r)anxn+r + Σn=0^∞ anxn+r+2 = 0[/tex]

We can reindex the last summation by setting n = k-2 to get:

[tex]Σn=2^∞ ak-2xk+r = 0[/tex]
where ak-2 = a(n+2). Thus, we have:

[tex](r(r-1)a0 + ra1) x^r + Σn=2^∞ [(n+r)(n+r-1)an + (n+r)an+2]xn+r = 0[/tex]

Since this equation holds for all values of x, each coefficient of xn+r must be zero. This gives us the recurrence relation:

[tex]an+2 = -an / (n+1)(n+r+1)[/tex]
We can start with a0 and a1 to determine the rest of the coefficients. For r = 0, we get:

[tex]a2 = -a0/2!a4 = a0/4! + a2/6!a6 = -a0/6! - a2/5! - a4/7!...[/tex]

Substituting these into our assumed solution, we get:

[tex]y(x) = a0(1 - x^2/2! + x^4/4! - x^6/6! + ...)[/tex]
This is the Bessel function of order zero of the first kind, denoted J0(x). Thus, we have:

[tex]J0(x) = Σn=0^∞ (-1)n(x/2)2n / (n!)2[/tex]

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Find the radius of convergence, R, of the series. [infinity] (x − 8)n n8 + 1 n = 0 .Find the interval of convergence, I, of the series. (Enter your answer using interval notation.)

Answers

The series converges on the interval from 7 inclusive to 9 exclusive.

What is the radius of convergence, R, and the interval of convergence, I, of the series [infinity] (x − 8)n n8 + 1 n = 0 ?

To find the radius of convergence, we use the ratio test:

| (x - 8)ⁿ⁺¹ (n+9) |----------------------- = L| (x - 8)ⁿ (n+1) |L = lim{n → ∞} | (x - 8)ⁿ⁺¹ (n+9) | / | (x - 8)ⁿ (n+1) |= lim{n → ∞} |x - 8| (n+9) / (n+1)= |x - 8| lim{n → ∞} (n+9) / (n+1)= |x - 8|

So the series converges absolutely if |x - 8| < 1, and diverges if |x - 8| > 1. Therefore, the radius of convergence is R = 1.

To find the interval of convergence, we need to test the endpoints x = 7 and x = 9:

When x = 7, the series becomes:

[infinity] (-1)ⁿ (n+9) / (n+1)

n = 0

which is an alternating series that satisfies the conditions of the alternating series test. Therefore, it converges.

When x = 9, the series becomes:

[infinity] 1 / (n+1)

n = 0

which is a p-series with p = 1, which diverges.

Therefore, the interval of convergence is [7, 9).

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If 8x−3y=5 is a true equation, what would be the value of 6+8x−3y?

Answers

The solution is;6 + 8x − 3y = 11.

Given equation is 8x − 3y = 5To find the value of 6 + 8x − 3y, we need to simplify the expression as follows;6 + 8x − 3y = (8x − 3y) + 6 = 5 + 6 = 11Since the equation is true, the value of 6 + 8x − 3y is 11. Therefore, the solution is;6 + 8x − 3y = 11.

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. Find the measure of angle C.
E
74°
F
B C
D

Answers

In order to find the measure of angle CEF, we need to use the property of angles formed by a transversal cutting two parallel lines.

Therefore, we will use the alternate interior angles property to find the measure of angle CEF.

Angles CDE and CEF are alternate interior angles formed by transversal CE that cuts the parallel lines AB and FD. This means that angle CDE and angle CEF are congruent angles.

Hence, we can say that:angle CDE = angle CEF = x degrees (let's say)Angle CEF and angle EFB are linear pairs, which means that they are adjacent angles and add up to 180 degrees.

This implies that:angle CEF + angle EFB = 180°Substituting angle CEF in the above equation, we get:x + 74° = 180°Solving for x: x = 180° - 74° = 106°Therefore, angle CEF is 106°.

Angle CDE is also 106° as we saw above. Angles CDE and CDB are adjacent angles and add up to 180 degrees.

Therefore:angle CDE + angle CDB = 180°Substituting the values of angle CDE and angle CDB in the above equation, we get:106° + angle CDB = 180°Solving for angle CDB:angle CDB = 180° - 106° = 74°Therefore, angle CDB is 74°. Hence, the measures of the angles CEF, CDE, and CDB are 106°, 106°, and 74°, respectively.

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answer the following questions regarding the two variables under consideration in a regression analysis. a. what is the dependent variable called? b. what is the independent variable called?

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a. It is also sometimes referred to as the response variable, outcome variable, or predicted variable. b.  linear regression analysis with only one independent variable, that variable is called the "regressor" or "regressor variable".

a. The dependent variable in a regression analysis is the variable that is being predicted or explained by the independent variable(s). It is also sometimes referred to as the response variable, outcome variable, or predicted variable.

b. The independent variable in a regression analysis is the variable that is being used to explain or predict the values of the dependent variable. It is also sometimes referred to as the predictor variable, explanatory variable, or input variable. In a simple linear regression analysis with only one independent variable, that variable is called the "regressor" or "regressor variable".

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find the value of k for which the given function is a probability density function. f(x) = 9k on [−1, 1]

Answers

The value of k for which the given function f(x) = 9k on [−1, 1] is a probability density function is k = 1/18.

To determine the value of k for which the given function is a probability density function, we need to ensure that the integral of the function over its domain is equal to 1.

In other words, we need to satisfy the following condition:
∫ f(x) dx = ∫ 9k dx = 1

The integral of a constant function over its domain is simply the value of the constant times the length of the domain.

In this case, the length of the domain [−1, 1] is 2. Thus, we have:

∫ f(x) dx = 9k ∫ dx = 9k(2) = 18k

Now, we can set 18k equal to 1 and solve for k:
18k = 1
k = 1/18

Therefore, the value of k for which the given function f(x) = 9k on [−1, 1] is a probability density function is k = 1/18.

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