Let f(3) = 1/(z^2+1) Determine whether f has an antiderivative on the given domain

(a) G=C\{i, –i}.
(b) G = {z Rez >0}.

Answer:

3,2,4, then 1

Answer:

Question 7 = $2

Question 8 = $16

Answer:

3x-10y=-41

Step-by-step explanation:

"standard form of the line" is ax+by=c, where a, b, and c are free coefficients

first, we need to find the slope (m) of the line

that is calculated with the formula (y2-y1)/(x2-x1)

we have the points (3,5) and (-7,2)

label the points:

x1=3

y1=5

x2=-7

y2=2

substitute into the equation

m=(2-5)/(-7-3)

m=-3/-10

m=3/10

the slope is 3/10

before we put a line into standard form, we need to put it into another form first-- like slope-intercept form (y=mx+b, where m is the slope and b is the y intercept)

we already know the slope

here's our line so far:

y=3/10x+b

we need to find b; since the line will pass through the points (3,5) and (-7,2) we can use either one of them to find b

let's use (3,5) as an example. Substitute into the equation

5=3/10(3)+b

5=9/10+b

41/10=b

b is 41/10

this is the equation:

y=3/10x+41/10

now we can find the equation in standard form. Subtract 3/10x from both sides

-3/10x+y=41/10

a (the number in front of x cannot be negative OR less than one. First, let's multiply both sides by -1)

3/10x-y=-41/10

multiply both sides by 10 to clear the fraction

3x-10y=-41

^^ is the equation

hope this helps!

The null hypothesis of this study is the statement that there is no significant difference between the playfulness of cats and dogs with their owners. In other words, the researcher assumes that both cats and dogs will play with their owners at the same rate. This is option c.

To test this hypothesis, the researcher would need to collect data on the playfulness of both cats and dogs with their owners. This could involve observing the animals during playtime or asking owners to self-report how often their pets play with them. The data would then be analyzed using statistical tests to determine if there is a significant difference in the average rates of playfulness between cats and dogs.

It is important to note that the null hypothesis does not necessarily reflect the researcher's personal beliefs or assumptions about the topic. Instead, it serves as a baseline assumption that can be tested through empirical research. If the data collected suggests that cats and dogs do not play with their owners at the same rate, then the null hypothesis would be rejected, and the researcher would need to explore alternative explanations for the observed differences.

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Answer:

It’s either A OR B

Step-by-step explanation:

Answer:

Hi! The answer to your question is x = 27

Step-by-step explanation:

☆*: .｡..｡.:*☆☆*: .｡..｡.:*☆☆*: .｡..｡.:*☆☆*: .｡..｡.:*☆

☁Brainliest is greatly appreciated!☁

Hope this helps!!

- Brooklynn Deka

Answer:

x=27

Step-by-step explanation:

3x+9=90

subtract 9 from both sides

3x=90-9

3x=81

divide by 3

x= 27

checking

3x27 +9= 90

81+9=90

I hope this makes sense

Answer:

its 9 signs

Step-by-step explanation:

in order to find number of  signs you gonna divide total distance by distance of a small sign

3/4  ÷ 1/12  

= 3/4 × 12/1 = 3 × 3

therefore, the answer is 9 sign

Given that a function is defined by `f(x) = x² + 2`, and the region R is enclosed by `y = f(x)`, the `y-axis` line `y = 4`. We need to find the exact volume generated when the region R is rotated through `27 radians` about the `y-axis`.

Explanation: The formula for finding the volume generated by rotating the region R about the `y-axis` is given by: `V = ∫ [from a to b] 2πxf(x) dx`. Here, the value of `a` is `0` because it's given that `f(x) = x² + 2`, and `f(x)` is greater than or equal to `0`. Also, the line `y = 4` intersects `f(x)` at `x = 2`. So, the value of `b` is `2`.

Therefore, the volume generated is given by: V = ∫ [from 0 to 2] 2πx (x² + 2) dx`=`2π ∫ [from 0 to 2] (x³ + 2x) dx`=`2π [(x⁴/4) + x²] {from 0 to 2}`=`2π [(2⁴/4) + 2²] - 0`=`2π [4 + 4]`=`16π` cubic units.

So, the exact volume generated when the region R is rotated through `27 radians` about the `y-axis` is `16π` cubic units.

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Answer:

1 7/10

Step-by-step explanation:

Given that:

Weight of bag 1 = 2/5 pounds

Weight of bag 2 = 7/10 pounds

Weight of bag 3 = 3/5 pounds

Total weight of the three bags :

2/5 + 7/10 + 3/5

Take the lcm of 5 and 10

Lcm of 5 and 10 = 10

(4 + 7 + 6) / 10

17 /10

= 1 7/10

Step-by-step explanation:

Volume=base area * height

=πr^2h

22/7 * 10^2 *11

=3457.1cm3

Answer:

The volume of a cylinder with a diameter of 10 inches and height of 20 inches is 1,570.8 cubic inches.

Answer: 240 in 2

Step-by-step explanation:

just did it

a) The derivative of g(x) at x=2 is g'(2) = 2.

b) The second derivative of k(x) at x=1 is k"(1) = -30.

c) The derivative of n(x) at x=0 is n'(0) = -18.

a) To find g'(x), we need to take the derivative of g(x) with respect to x. Let's differentiate each term separately:

g(x) = 3x³ - 8x² - 2x + 35

The derivative of 3x³ is obtained by applying the power rule, which states that if we have a term of the form [tex]ax^n[/tex], the derivative is given by [tex]nax^{(n-1)[/tex]. In this case, the derivative of 3x³ is 3 * 3x², which simplifies to 9x².

The derivative of -8x² is obtained in a similar manner, resulting in -16x.

The derivative of -2x is -2.

Since 35 is a constant term, its derivative is zero.

Now, let's combine these derivatives to find g'(x):

g'(x) = 9x² - 16x - 2

To find g'(2), we substitute x = 2 into the derivative:

g'(2) = 9(2)² - 16(2) - 2

= 9(4) - 32 - 2

= 36 - 32 - 2

= 2

Therefore, g'(2) = 2.

b) To find k"(x), we need to take the second derivative of k(x) with respect to x. Let's differentiate each term:

k(x) = 1 / [tex]x^5[/tex]

The derivative of 1/[tex]x^5[/tex] can be found using the power rule and the chain rule. The power rule states that the derivative of [tex]x^n[/tex] is n[tex]x^{(n-1)[/tex], and the chain rule applies when we have a function within another function. In this case, the derivative of 1/[tex]x^5[/tex] is -5/[tex]x^6[/tex].

Taking the derivative of -5/[tex]x^6[/tex], we apply the power rule again, resulting in 30/[tex]x^7[/tex].

Now, let's find k"(x) by differentiating -5/[tex]x^6[/tex] again:

k"(x) = -30/[tex]x^7[/tex]

To find k"(1), we substitute x = 1 into the second derivative:

k"(1) = -30/([tex]1^7[/tex])

= -30/1

= -30

Therefore, k"(1) = -30.

c) To find n'(x), we need to take the derivative of n(x) with respect to x. We can apply the product rule to differentiate the two factors of n(x):

n(x) = (-4x + 2)(3x² - 5x + 2)

Using the product rule, the derivative of n(x) is given by:

n'(x) = (-4x + 2)(d/dx)(3x² - 5x + 2) + (3x² - 5x + 2)(d/dx)(-4x + 2)

To differentiate each term, we use the power rule:

(d/dx)(3x² - 5x + 2) = 6x - 5

(d/dx)(-4x + 2) = -4

Substituting these derivatives back into n'(x), we get:

n'(x) = (-4x + 2)(6x - 5) + (3x² - 5x + 2)(-4)

Now, let's find n'(0) by substituting x = 0 into the derivative:

n'(0) = (-4(0) + 2)(6(0) - 5) + (3(0)² - 5(0) + 2)(-4)

= (2)(0 - 5) + (0 - 0 + 2)(-4)

= (2)(-5) + (2)(-4)

= -10 - 8

= -18

Therefore, n'(0) = -18.

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Answer:

B. 11

Step-by-step explanation:

The 50th percentile represents the halfway point of a data set and therefore, it is simply another name for the median.

We can use the following steps to find the median:

Step 1:  Arrange the numbers in ascending numerical order:

10, 10, 11, 12, 13.

Step 2:  Find the middle of the numbers:

Since there are 5 numbers, the median will have two numbers to the left and right of it.  11 satisfies this requirement so it is the median and thus the 50th percentile of the numbers.

The value of det(3A^-2B^T) + 1, given det(A) = 1 and B is a singular matrix, is :

1

To find the determinant of the given expression, let's break it down step by step.

Matrix A is 4x4 with det(A) = 1.

Matrix B is a singular matrix.

Find the inverse of matrix A.

Since A is given to be a 4x4 matrix with det(A) = 1, we know that A is invertible. Therefore, A^-1 exists.

Find the determinant of the expression 3A^-2B^T.

Let's calculate the determinant of 3A^-2B^T:

det(3A^-2B^T) = det(3) * det(A^-2) * det(B^T)

We know that det(A^-2) = (det(A))^(-2) = 1^(-2) = 1.

Also, det(B^T) = det(B) because the determinant of a transpose is the same as the determinant of the original matrix.

So, det(3A^-2B^T) = 3 * 1 * det(B) = 3 * det(B)

Determine the value of det(3A^-2B^T) + 1.

Since B is given to be a singular matrix, its determinant is 0.

Therefore, det(3A^-2B^T) + 1 = 3 * det(B) + 1 = 3 * 0 + 1 = 1.

So, the value of det(3A^-2B^T) + 1 is 1.

Therefore, the correct answer is 1.

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Answer:

3(x+4)=3x+11

3x + 12 = 3x + 11

3x + 1 = 3x

No solution

-2(x+3)=-2x-6

-2x - 6 = -2x - 6

x = x

Infinite solutions

4(x-1) = 1/2(x-8)

4x - 4 = 1/2x - 4

8x - 8 = x - 8

7x = 0

x = 0

One solution

3x-7=4+6 +4x

3x - 7 = 10 + 4x

x = -17

One solution

Answer:

hi

Step-by-step explanation:

hope it helps

have a nice day

Answer:

3.14, 5.8, 0.3, negative 2

Step-by-step explanation:

3.14 is found bn 2 and 3 but very close to 3 u can just take 3.1 and for 5.8 it's bn 5 and 6 very close to 6 but not six , and we'll negative 2 is right on negative 2

Answer:

B: 2(5−6)

Step-by-step explanation:

Answer:

Thx u

Step-by-step explanation:

that's not good oof

:3

:)

:0

:>

To compute the next three approximations to the fixed point using Jacobi iteration and Seidel iteration, we will use the initial approximation (p0, q0) = (-0.3, -1.3) for the given nonlinear system.

(a) Jacobi Iteration:

In Jacobi iteration, we update the variables simultaneously using the previous values.

(b) Seidel Iteration:

In Seidel iteration, we update the variables using the most recently computed values.

To compute the next three approximations to the fixed point using Jacobi iteration and Seidel iteration, we will use the initial approximation (p0, q0) = (-0.3, -1.3) for the given nonlinear system.

(a) Jacobi Iteration:

In Jacobi iteration, we update the variables simultaneously using the previous values. The iteration formula for this system is as follows:

p(n+1) = (y(n) + 3x(n)^2 + 3x(n) - 73)/3

q(n+1) = (7y(n)^2 + 2y(n) - x(n) - 2)/92

Using the initial approximation (-0.3, -1.3), we can compute the next three approximations as follows:

Iteration 1:

p(1) = (1 + 3(-0.3)^2 + 3(-0.3) - 73)/3 ≈ -8.300

q(1) = (7(-1.3)^2 + 2(-1.3) - (-0.3) - 2)/92 ≈ -1.317

Iteration 2:

p(2) = (1 + 3(-8.300)^2 + 3(-8.300) - 73)/3 ≈ -209.034

q(2) = (7(-1.317)^2 + 2(-1.317) - (-8.300) - 2)/92 ≈ -2.924

Iteration 3:

p(3) = (1 + 3(-209.034)^2 + 3(-209.034) - 73)/3 ≈ -14314.328

q(3) = (7(-2.924)^2 + 2(-2.924) - (-209.034) - 2)/92 ≈ -6.344

(b) Seidel Iteration:

In Seidel iteration, we update the variables using the most recently computed values. The iteration formula for this system is as follows:

p(n+1) = (y(n) + 3x(n)^2 + 3x(n) - 73)/3

q(n+1) = (7y(n+1)^2 + 2y(n+1) - x(n) - 2)/92

Using the initial approximation (-0.3, -1.3), we can compute the next three approximations as follows:

Iteration 1:

p(1) = (1 + 3(-0.3)^2 + 3(-0.3) - 73)/3 ≈ -8.300

q(1) = (7(-1.3)^2 + 2(-1.3) - (-0.3) - 2)/92 ≈ -1.315

Iteration 2:

p(2) = (1 + 3(-1.315)^2 + 3(-1.315) - 73)/3 ≈ -8.264

q(2) = (7(-8.264)^2 + 2(-8.264) - (-1.315) - 2)/92 ≈ -3.471

Iteration 3:

p(3) = (1 + 3(-3.471)^2 + 3(-3.471) - 73)/3 ≈ -1.252

q(3) = (7(-1.252)^2 + 2(-1.252) - (-3.471) - 2)/92 ≈ -1.100

These are the next three approximations to the fixed point using Jacobi iteration and Seidel iteration with the given initial approximation.

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Answer:

Positive association is correct

Step-by-step explanation: The dots form are going up, forming a positive line. If they were to go down they would be negative. So in this case positive association is correct

Answer:

3, 1/2

Step-by-step explanation:

x + 2y = 4

2x - 2y = 5

_______________ +

2x + x + 2y + (-2y) = 4 + 5

3x + 0 = 9

3x = 9

x = 9/3

x = 3

if you want to find the value of y, you just have to choose one of the equation. I will choose x + 2y = 4, even if you choose 2x - 2y = 5 the result remains same

x + 2y = 4

3 + 2y = 4

2y = 4 - 3

y = 1/2

x, y = 3, 1/2

i'm sorry, i'm not good at english ^^

Answer:

7 m

Step-by-step explanation:

you divide the volume by the radius I'm pretty sure. that's what I did and I got 7

Step-by-step explanation:

-√81=-√(9)²=-9

A number inside a Square root cannot ne negative. So, the second one is not a real no.

Answer:

[tex] - \sqrt{81} = - 9 \\ \sqrt{ - 25 = - 5} [/tex]

Step-by-step explanation:

-81/9 9+9+9+9+9+9+9+9+9(81)

-9

-25/5 (5+5+5+5+5(25)

-5

The probability is equal to 0 for the option "a) Less than 5.0."Explanation:Given, the mean of the normal distribution, μ = 7.5 and the standard deviation of the normal distribution, σ = 2.5 The formula to find the Z-score, z is given by;z = (x - μ)/σwhere x is the value of the random variable under consideration.

a) To find the probability of the random variable being less than 5, we find the Z-score;z = (5 - 7.5)/2.5 = -1 Therefore, P(X < 5) = P(Z < -1)Using the standard normal table, the probability corresponding to the Z-score -1 is 0.1587.Therefore, the probability of the random variable being less than 5 is 0.1587.

b) To find the probability of the random variable being between 4.0 and 10.0, we find the Z-score corresponding to each value and calculate the difference in their probability. The probability required will be the absolute value of this difference. z 1 = (4 - 7.5)/2.5 = -1.4 z 2 = (10 - 7.5)/2.5 = 1 Therefore, P(4 < X < 10) = P(-1.4 < Z < 1) = P(Z < 1) - P(Z < -1.4) = 0.8413 - 0.0808 = 0.7605

c ).To find the probability of the random variable being greater than 9.0, we find the Z-score;z = (9 - 7.5)/2.5 = 0.6 Therefore, P(X > 9) = P(Z > 0.6)Using the standard normal table, the probability corresponding to the Z-score 0.6 is 0.2743.Therefore, the probability of the random variable being greater than 9.0 is 0.2743

d) To find the probability of the random variable being between 6.0 and 8.0, we find the Z-score corresponding to each value and calculate the difference in their probability. The probability required will be the absolute value of this difference. z 1 = (6 - 7.5)/2.5 = -0.6z2 = (8 - 7.5)/2.5 = 0.2Therefore, P(6 < X < 8) = P(-0.6 < Z < 0.2) = P(Z < 0.2) - P(Z < -0.6) = 0.5793 - 0.2743 = 0.305Therefore, the probability is equal to 0 for the option "a) Less than 5.0."

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A random variable has a normal distribution with mean 7.5 and standard deviation 2.5. The following is the probability equal to 0.

Option a) Less than 5.0 is correct.

Note that the normal distribution is symmetrical. So, the probabilities of events occurring are equal on either side of the mean.

The probability is zero when the range of events is beyond the limits of the standard normal distribution, which is from -3 to +3. Now let's standardize the values below:

a. less than 5.0: The formula to standardize is

[tex]z = (x - \mu) / \sigma[/tex]

z = (5 - 7.5) / 2.5

z = -1

Thus, the area of the left side of the standard normal distribution is zero, indicating that the probability of less than 5 is zero. Therefore, option a) is correct.

Other options are: b. Between 4.0 and 10.0: The probability that the values fall between 4 and 10 is 0.974 c. Greater than 9.0: The probability that the values are greater than 9 is 0.080 d. Between 6.0 and 8.0: The probability that the values fall between 6 and 8 is 0.329.

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Answer:

yes

Step-by-step explanation:

they both equal 5x=1 where x = 1/5

Answer: 132ft

Step-by-step explanation:

9x4=36+36=72

30-9=21

21+21+9+9=60

60+72=132ft

Answer:

522

Step-by-step explanation:

A good strategy to avoid depending on wrong answers is to conduct rigorous testing and validation.

In the business world, many analytical models are found to be incorrect, as studies have shown. To avoid relying on flawed answers, it is crucial to implement a strategy that emphasizes rigorous testing and validation. This involves thoroughly evaluating the model's performance by comparing its outputs with known or expected outcomes. By subjecting the model to various scenarios and testing its predictions against real-world data, discrepancies can be identified and corrected.

Regularly testing and validating analytical models helps to uncover potential flaws and inaccuracies. This iterative process allows for adjustments and improvements to be made, ensuring that the model provides reliable and accurate results. By implementing a robust testing and validation strategy, businesses can minimize the risks associated with using incorrect analytical models and make informed decisions based on reliable insights.

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