The probability that a line of 50 cars waiting to pay toll can be completely served in less than 3.5 minutes can be determined using the gamma distribution.
To solve this problem, we need to convert the mean value from seconds to minutes. Since there are 60 seconds in a minute, the mean value is 5 seconds / 60 = 1/12 minutes.
Given that the time for each car to clear the toll station is exponentially distributed, we can use the exponential probability distribution formula:
P(T < t) = 1 - e^(-λt)
where P(T < t) is the probability that the time T is less than t, λ is the rate parameter (1/mean), and e is the base of the natural logarithm.
In this case, we want to find the probability that a line of 50 cars can be completely served in less than 3.5 minutes. Since the times for each car are independent and identically distributed, the total time for all 50 cars is the sum of 50 exponential random variables.
Let X be the total time for 50 cars. Since the sum of exponential random variables is a gamma distribution, we can use the gamma distribution formula:
P(X < 3.5) = 1 - Γ(50, 1/12)
Using statistical software or a calculator, we can find the cumulative distribution function (CDF) of the gamma distribution with shape parameter 50 and rate parameter 1/12 evaluated at 3.5. This will give us
Kniow more about probability here:
https://brainly.com/question/31828911
#SPJ11
Let F:R^3→R^3 be the projection mapping into the xy plane, i.e., defined by F(x,y,z)=(x,y,0). Find the kernel of F.
The kernel of a linear transformation is the set of vectors that map to the zero vector under that transformation. In this case, we have the projection mapping F: R^3 -> R^3 defined by F(x, y, z) = (x, y, 0).
To find the kernel of F, we need to determine the vectors (x, y, z) that satisfy F(x, y, z) = (0, 0, 0).
Using the definition of F, we have:
F(x, y, z) = (x, y, 0) = (0, 0, 0).
This gives us the following system of equations:
x = 0,
y = 0,
0 = 0.
The first two equations indicate that x and y must be zero in order for F(x, y, z) to be zero in the xy plane. The third equation is always true.
Therefore, the kernel of F consists of all vectors of the form (0, 0, z), where z can be any real number. Geometrically, this represents the z-axis in R^3, as any point on the z-axis projected onto the xy plane will result in the zero vector.
In summary, the kernel of the projection mapping F is given by Ker(F) = {(0, 0, z) | z ∈ R}.
Learn more about linear transformation here
brainly.com/question/13595405
#SPJ11
find the area bounded by the curve y=(x 1)in(x) the x-axis and the lines x=1 and x=2
The area bounded by the curve, the x-axis, and the lines x=1 and x=2 is 2 ln(2) - 3/2 square units.
To find the area bounded by the curve y = (x-1)*ln(x), the x-axis, and the lines x=1 and x=2, we need to integrate the function between x=1 and x=2.
The first step is to sketch the curve and the region that we need to find the area for. Here is a rough sketch of the curve:
| .
| .
| .
| .
___ |___.
1 1.5 2
To integrate the function, we can use the definite integral formula:
Area = ∫[a,b] f(x) dx
where f(x) is the function that we want to integrate, and a and b are the lower and upper limits of integration, respectively.
In this case, our function is y=(x-1)*ln(x), and our limits of integration are a=1 and b=2. Therefore, we can write:
Area = ∫[1,2] (x-1)*ln(x) dx
We can use integration by parts to evaluate this integral. Let u = ln(x) and dv = (x - 1)dx. Then du/dx = 1/x and v = (1/2)x^2 - x. Using the integration by parts formula, we get:
∫ (x-1)*ln(x) dx = uv - ∫ v du/dx dx
= (1/2)x^2 ln(x) - x ln(x) + x/2 - (1/2)x^2 + C
where C is the constant of integration.
Therefore, the area bounded by the curve y = (x-1)*ln(x), the x-axis, and the lines x=1 and x=2 is given by:
Area = ∫[1,2] (x-1)*ln(x) dx
= [(1/2)x^2 ln(x) - x ln(x) + x/2 - (1/2)x^2] from 1 to 2
= (1/2)(4 ln(2) - 3) - (1/2)(0) = 2 ln(2) - 3/2
Therefore, the area bounded by the curve, the x-axis, and the lines x=1 and x=2 is 2 ln(2) - 3/2 square units.
Learn more about area from
https://brainly.com/question/28020161
#SPJ11
The joint density function of Y1 and Y2 is given by f(y1, y2) = 30y1y2^2, y1 − 1 ≤ y2 ≤ 1 − y1, 0 ≤ y1 ≤ 1, 0, elsewhere. (a) Find F (1/2 , 1/2) (b) Find F (1/2 , 3) . (c) Find P(Y1 > Y2).
The joint density function represents the probabilities of events related to Y1 and Y2 within the given conditions.
(a) F(1/2, 1/2) = 5/32.
(b) F(1/2, 3) = 5/32.
(c) P(Y1 > Y2) = 5/6.
The joint density function of Y1 and Y2 is given by f(y1, y2) = 30y1y2^2, y1 − 1 ≤ y2 ≤ 1 − y1, 0 ≤ y1 ≤ 1, 0, elsewhere.
(a) To find F(1/2, 1/2), we need to calculate the cumulative distribution function (CDF) at the point (1/2, 1/2). The CDF is defined as the integral of the joint density function over the appropriate region.
F(y1, y2) = ∫∫f(u, v) du dv
Since we want to find F(1/2, 1/2), the integral limits will be from y1 = 0 to 1/2 and y2 = 0 to 1/2.
F(1/2, 1/2) = ∫[0 to 1/2] ∫[0 to 1/2] f(u, v) du dv
Substituting the joint density function, f(y1, y2) = 30y1y2^2, into the integral, we have:
F(1/2, 1/2) = ∫[0 to 1/2] ∫[0 to 1/2] 30u(v^2) du dv
Integrating the inner integral with respect to u, we get:
F(1/2, 1/2) = ∫[0 to 1/2] 15v^2 [u^2] dv
= ∫[0 to 1/2] 15v^2 (1/4) dv
= (15/4) ∫[0 to 1/2] v^2 dv
= (15/4) [(v^3)/3] [0 to 1/2]
= (15/4) [(1/2)^3/3]
= 5/32
Therefore, F(1/2, 1/2) = 5/32.
(b) To find F(1/2, 3), The integral limits will be from y1 = 0 to 1/2 and y2 = 0 to 3.
F(1/2, 3) = ∫[0 to 1/2] ∫[0 to 3] f(u, v) du dv
Substituting the joint density function, f(y1, y2) = 30y1y2^2, into the integral, we have:
F(1/2, 3) = ∫[0 to 1/2] ∫[0 to 3] 30u(v^2) du dv
By evaluating,
F(1/2, 3) = 15/4
Therefore, F(1/2, 3) = 15/4.
(c) To find P(Y1 > Y2), we need to integrate the joint density function over the region where Y1 > Y2.
P(Y1 > Y2) = ∫∫f(u, v) du dv, with the condition y1 > y2
We need to set up the integral limits based on the given condition. The region where Y1 > Y2 lies below the line y1 = y2 and above the line y1 = 1 - y2.
P(Y1 > Y2) = ∫[0 to 1] ∫[y1-1 to 1-y1] f(u, v) dv du
Substituting the joint density function, f(y1, y2) = 30y1y2^2, into the integral, we have:
P(Y1 > Y2) = ∫[0 to 1] ∫[y1-1 to 1-y1] 30u(v^2) dv du
Evaluating the integral will give us the probability:
P(Y1 > Y2) = 5/6
Therefore, P(Y1 > Y2) = 5/6.
To learn more about joint density function visit:
https://brainly.com/question/31266281
#SPJ11
consider the following. find the transition matrix from b to b'.b = {(4, 1, −6), (3, 1, −6), (9, 3, −16)}, b' = {(5, 8, 6), (2, 4, 3), (2, 4, 4)},
The transition matrix from B to B' is given by:
P = [
[10, 12, 3],
[5, 4, -3],
[19, 20, -1]
]
This matrix can be found by multiplying the coordinate matrices of B and B'. The coordinate matrices of B and B' are given by:
B = [
[4, 1, -6],
[3, 1, -6],
[9, 3, -16]
]
B' = [
[5, 8, 6],
[2, 4, 3],
[2, 4, 4]
]
The product of these matrices is given by:
P = B * B' = [
[10, 12, 3],
[5, 4, -3],
[19, 20, -1]
]
This matrix can be used to convert coordinates from the basis B to the basis B'.
For example, the vector (4, 1, -6) in the basis B can be converted to the vector (10, 12, 3) in the basis B' by multiplying it by the transition matrix P. This gives us:
(4, 1, -6) * P = (10, 12, 3)
The transition matrix maps each vector in the basis B to the corresponding vector in the basis B'.
This can be useful for many purposes, such as changing the basis of a linear transformation.
Learn more about Matrix.
https://brainly.com/question/33318473
#SPJ11
Find the linear approximation to f(x,y)=2 sq.root of xy/2 at the point (2,4,4), and use it to approximate f(2.11,4.18) f(2.11,4.18)≅ Round your answer to four decimal places as needed.
The approximation for f(2.11, 4.18) is approximately 4.3356, rounded to four decimal places.
To find the linear approximation of a function f(x, y), we can use the equation:
L(x, y) = f(a, b) + fₓ(a, b)(x - a) + fᵧ(a, b)(y - b),
where fₓ(a, b) and fᵧ(a, b) are the partial derivatives of f(x, y) with respect to x and y, evaluated at the point (a, b).
Given the function f(x, y) = 2√(xy/2), we need to find the partial derivatives and evaluate them at the point (2, 4). Let's begin by finding the partial derivatives:
fₓ(x, y) = ∂f/∂x = √(y/2)
fᵧ(x, y) = ∂f/∂y = √(x/2)
Now, we can evaluate the partial derivatives at the point (2, 4):
fₓ(2, 4) = √(4/2) = √2
fᵧ(2, 4) = √(2/2) = 1
Next, we substitute these values into the linear approximation equation:
L(x, y) = f(2, 4) + fₓ(2, 4)(x - 2) + fᵧ(2, 4)(y - 4)
Since we are approximating f(2.11, 4.18), we plug in these values:
L(2.11, 4.18) = f(2, 4) + fₓ(2, 4)(2.11 - 2) + fᵧ(2, 4)(4.18 - 4)
Now, let's calculate each term:
f(2, 4) = 2√(24/2) = 2√4 = 22 = 4
fₓ(2, 4) = √(4/2) = √2
fᵧ(2, 4) = √(2/2) = 1
Substituting these values into the linear approximation equation:
L(2.11, 4.18) = 4 + √2(2.11 - 2) + 1(4.18 - 4)
= 4 + √2(0.11) + 1(0.18)
= 4 + 0.11√2 + 0.18
Finally, we can calculate the approximation:
L(2.11, 4.18) ≈ 4 + 0.11√2 + 0.18 ≈ 4 + 0.11*1.4142 + 0.18
≈ 4 + 0.1556 + 0.18
≈ 4.3356
Therefore, the approximation for f(2.11, 4.18) is approximately 4.3356, rounded to four decimal places.
Learn more about linear approximation
brainly.com/question/30881351
#SPJ11
Find an equation for the line tangent to the curve at the point defined by the given value of t. Also, find the value of d^2 y/dx^2 at this point. x=t−sint,y=1−2cost,t=π/3
Differentiate dx/dt w.r.t t, d²x/dt² = sin(t)Differentiate dy/dt w.r.t t, [tex]d²y/dt² = 2 cos(t)[/tex] Now, put t = π/3 in the above derivatives.
So, [tex]dx/dt = 1 - cos(π/3) = 1 - 1/2 = 1/2dy/dt = 2 sin(π/3) = √3d²x/dt² = sin(π/3) = √3/2d²y/dt² = 2 cos(π/3) = 1\\[/tex]Thus, the tangent at the point is:
[tex]y - y1 = m(x - x1)y - [1 - 2cos(π/3)] = 1/2[x - (π/3 - sin(π/3))] ⇒ y + 2cos(π/3) = (1/2)x - (π/6 + 2/√3) ⇒ y = (1/2)x + (5√3 - 12)/6[/tex]Thus, the equation of the tangent is [tex]y = (1/2)x + (5√3 - 12)/6 and d²y/dx² = 2 cos(π/3) = 1.[/tex]
We are given,[tex]x = t - sin(t), y = 1 - 2cos(t) and t = π/3.[/tex]
We need to find the equation for the line tangent to the curve at the point defined by the given value of t. We will start by differentiating x w.r.t t and y w.r.t t respectively.
After that, we will differentiate the above derivatives w.r.t t as well. Now, put t = π/3 in the obtained values of the derivatives.
We get,[tex]dx/dt = 1/2, dy/dt = √3, d²x/dt² = √3/2 and d²y/dt² = 1.[/tex]
Thus, the equation of the tangent is
[tex]y = (1/2)x + (5√3 - 12)/6 and d²y/dx² = 2 cos(π/3) = 1.[/tex]
Conclusion: The equation of the tangent is y = (1/2)x + (5√3 - 12)/6 and d²y/dx² = 2 cos(π/3) = 1.
Learn more about Differentiate here:
brainly.com/question/24062595
#SPJ11
How can I determine if 2 normal vectors are pointing in the same
general direction ?? and not opposite directions?
To determine if two normal vectors are pointing in the same general direction or opposite directions, we can compare their dot product.
A normal vector is a vector that is perpendicular (orthogonal) to a given surface or plane. When comparing two normal vectors, we want to determine if they are pointing in the same general direction or opposite directions.
To check the direction, we can use the dot product of the two vectors. The dot product of two vectors A and B is given by A · B = |A| |B| cos(θ), where |A| and |B| are the magnitudes of the vectors, and θ is the angle between them.
If the dot product is positive, it means that the angle between the vectors is less than 90 degrees (cos(θ) > 0), indicating that they are pointing in the same general direction. A positive dot product suggests that the vectors are either both pointing away from the surface or both pointing towards the surface.
On the other hand, if the dot product is negative, it means that the angle between the vectors is greater than 90 degrees (cos(θ) < 0), indicating that they are pointing in opposite directions. A negative dot product suggests that one vector is pointing towards the surface while the other is pointing away from the surface.
Therefore, by evaluating the dot product of two normal vectors, we can determine if they are pointing in the same general direction (positive dot product) or opposite directions (negative dot product).
Learn more about dot product here:
https://brainly.com/question/23477017
#SPJ11
23. (T/F) A matrix \( A \) is invertible if and only if 0 is an eigenvalue of \( A \).
The expression "A matrix A is invertible if and only if 0 is an eigenvalue of A" is untrue. If zero is not an eigenvalue of the matrix, then and only then, is the matrix invertible. If and only if the matrix's determinant is 0, the matrix is singular.
A non-singular matrix is another name for an invertible matrix.It is a square matrix with a determinant not equal to zero. Such matrices are unique and have their inverse matrix, which is denoted as A-1.
An eigenvalue is a scalar that is associated with a particular linear transformation. In other words, when a linear transformation acts on a vector, the scalar that results from the transformation is known as an eigenvalue. The relation between the eigenvalue and invertibility of a matrix.
The determinant of a matrix with a zero eigenvalue is always zero. The following equation can be used to express this relationship:
A matrix A is invertible if and only if 0 is not an eigenvalue of A or det(A) ≠ 0.
Learn more about eigenvalue at https://brainly.com/question/14415841
#SPJ11
which of the following statements is true? select one: numeric data can be represented by a pie chart. the median is influenced by outliers. the bars in a histogram should never touch. for right skewed data, the mean and median are both greater than the mode.
The statement that is true is: For right-skewed data, the mean and median are both greater than the mode.
In right-skewed data, the majority of the values are clustered on the left side of the distribution, with a long tail extending towards the right. In this scenario, the mean is influenced by the extreme values in the tail and is pulled towards the higher end, making it greater than the mode. The median, being the middle value, is also influenced by the skewed distribution and tends to be greater than the mode as well. The mode represents the most frequently occurring value and may be located towards the lower end of the distribution in right-skewed data. Therefore, the mean and median are both greater than the mode in right-skewed data.
Know more about right-skewed data here:
https://brainly.com/question/30903745
#SPJ11
The transformations that will change the domain of the function are
Select one:
a.
a horizontal stretch and a horizontal translation.
b.
a horizontal stretch, a reflection in the -axis, and a horizontal translation.
c.
a reflection in the -axis and a horizontal translation.
d.
a horizontal stretch and a reflection in the -axis.
The transformations that will change the domain of the function are a option(d) horizontal stretch and a reflection in the -axis.
The transformations that will change the domain of the function are: a horizontal stretch and a reflection in the -axis.
The domain of a function is a set of all possible input values for which the function is defined. Several transformations can be applied to a function, each of which can alter its domain.
A horizontal stretch can be applied to a function to increase or decrease its x-values. This transformation is equivalent to multiplying each x-value in the function's domain by a constant k greater than 1 to stretch the function horizontally.
As a result, the domain of the function is altered, with the new domain being the set of all original domain values divided by k.A reflection in the -axis is another transformation that can affect the domain of a function. This transformation involves flipping the function's values around the -axis.
Because the -axis is the line y = 0, the function's domain remains the same, but the range is reversed.
Therefore, we can conclude that the transformations that will change the domain of the function are a horizontal stretch and a reflection in the -axis.
Learn more about transformations here:
https://brainly.com/question/11709244
#SPJ11
You incorrectly reject the null hypothesis that sample mean equal to population mean of 30. Unwilling you have committed a:
If the null hypothesis that sample mean is equal to population mean is incorrectly rejected, it is called a type I error.
Type I error is the rejection of a null hypothesis when it is true. It is also called a false-positive or alpha error. The probability of making a Type I error is equal to the level of significance (alpha) for the test
In statistics, hypothesis testing is a method for determining the reliability of a hypothesis concerning a population parameter. A null hypothesis is used to determine whether the results of a statistical experiment are significant or not.Type I errors occur when the null hypothesis is incorrectly rejected when it is true. This happens when there is insufficient evidence to support the alternative hypothesis, resulting in the rejection of the null hypothesis even when it is true.
To know more about mean visit:
https://brainly.com/question/31101410
#SPJ11
3. The size of a population, \( P \), of toads \( t \) years after they are introduced into a wetland is given by \[ P=\frac{1000}{1+49\left(\frac{1}{2}\right)^{t}} \] a. How many toads are there in y
There are 1000 toads in the wetland initially, the expression for the size of the toad population, P, is given as follows: P = \frac{1000}{1 + 49 (\frac{1}{2})^t}.
When t = 0, the expression for P simplifies to 1000. This means that there are 1000 toads in the wetland initially.
The expression for P can be simplified as follows:
P = \frac{1000}{1 + 49 (\frac{1}{2})^t} = \frac{1000}{1 + 24.5^t}
When t = 0, the expression for P simplifies to 1000 because 1 + 24.5^0 = 1 + 1 = 2. This means that there are 1000 toads in the wetland initially.
The expression for P shows that the number of toads in the wetland decreases exponentially as t increases. This is because the exponent in the expression, 24.5^t, is always greater than 1. As t increases, the value of 24.5^t increases, which means that the value of P decreases.
To know more about value click here
brainly.com/question/30760879
#SPJ11
Evaluate the following iterated integral. \[ \int_{1}^{5} \int_{\pi}^{\frac{3 \pi}{2}} x \cos y d y d x \] \[ \int_{1}^{5} \int_{\pi}^{\frac{3 \pi}{2}} x \cos y d y d x= \]
The iterated integral \(\int_{1}^{5} \int_{\pi}^{\frac{3 \pi}{2}} x \cos y \, dy \, dx\) evaluates to a numerical value of approximately -10.28.
This means that the value of the integral represents the signed area under the function \(x \cos y\) over the given region in the x-y plane.
To evaluate the integral, we first integrate with respect to \(y\) from \(\pi\) to \(\frac{3 \pi}{2}\), treating \(x\) as a constant
This gives us \(\int x \sin y \, dy\). Next, we integrate this expression with respect to \(x\) from 1 to 5, resulting in \(-x \cos y\) evaluated at the bounds \(\pi\) and \(\frac{3 \pi}{2}\). Substituting these values gives \(-10.28\), which is the numerical value of the iterated integral.
In summary, the given iterated integral represents the signed area under the function \(x \cos y\) over the rectangular region defined by \(x\) ranging from 1 to 5 and \(y\) ranging from \(\pi\) to \(\frac{3 \pi}{2}\). The resulting value of the integral is approximately -10.28, indicating a net negative area.
learn more about integral here:
brainly.com/question/33114105
#SPJ11
a. Find the measure of each interior angle of the regular hendecagon that appears on the face of a Susan B. Anthony one-dollar coin.
The regular hendecagon is an 11 sided polygon. A regular polygon is a polygon that has all its sides and angles equal. Anthony one-dollar coin has 11 interior angles each with a measure of approximately 147.27 degrees.
Anthony one-dollar coin. The sum of the interior angles of an n-sided polygon is given by:
[tex](n-2) × 180°[/tex]
The formula for the measure of each interior angle of a regular polygon is given by:
measure of each interior angle =
[tex][(n - 2) × 180°] / n[/tex]
In this case, n = 11 since we are dealing with a regular hendecagon. Substituting n = 11 into the formula above, we get: measure of each interior angle
=[tex][(11 - 2) × 180°] / 11= (9 × 180°) / 11= 1620° / 11[/tex]
The measure of each interior angle of the regular hendecagon that appears on the face of a Susan B. Anthony one-dollar coin is[tex]1620°/11 ≈ 147.27°[/tex]. This implies that the Susan B.
To know more about polygon visit:-
https://brainly.com/question/17756657
#SPJ11
The measure of each interior angle of a regular hendecagon, which is an 11-sided polygon, can be found by using the formula:
Interior angle = (n-2) * 180 / n,
where n represents the number of sides of the polygon.
In this case, the regular hendecagon appears on the face of a Susan B. Anthony one-dollar coin. The Susan B. Anthony one-dollar coin is a regular hendecagon because it has 11 equal sides and 11 equal angles.
Applying the formula, we have:
Interior angle = (11-2) * 180 / 11 = 9 * 180 / 11.
Simplifying this expression gives us the measure of each interior angle of the regular hendecagon on the coin.
The measure of each interior angle of the regular hendecagon on the face of a Susan B. Anthony one-dollar coin is approximately 147.27 degrees.
To find the measure of each interior angle of a regular hendecagon, we use the formula: (n-2) * 180 / n, where n represents the number of sides of the polygon. For the Susan B. Anthony one-dollar coin, the regular hendecagon has 11 sides, so the formula becomes: (11-2) * 180 / 11. Simplifying this expression gives us the measure of each interior angle of the regular hendecagon on the coin. Therefore, the measure of each interior angle of the regular hendecagon on the face of a Susan B. Anthony one-dollar coin is approximately 147.27 degrees. This means that each angle within the hendecagon on the coin is approximately 147.27 degrees. This information is helpful for understanding the geometry and symmetry of the Susan B. Anthony one-dollar coin.
To learn more about hendecagon
visit the link below
https://brainly.com/question/31430414
#SPJ11
Let A be a 4x4 matrix whose determinant is -3. Given that C24=93, determine the entry in the 4th row and 2nd column of A-1.
The entry in the 4th row and 2nd column of A⁻¹ is 4.
We can use the formula A × A⁻¹ = I to find the inverse matrix of A.
If we can find A⁻¹, we can also find the value in the 4th row and 2nd column of A⁻¹.
A matrix is said to be invertible if its determinant is not equal to zero.
In other words, if det(A) ≠ 0, then the inverse matrix of A exists.
Given that the determinant of A is -3, we can conclude that A is invertible.
Let's start with the formula: A × A⁻¹ = IHere, A is a 4x4 matrix. So, the identity matrix I will also be 4x4.
Let's represent A⁻¹ by B. Then we have, A × B = I, where A is the 4x4 matrix and B is the matrix we need to find.
We need to solve for B.
So, we can write this as B = A⁻¹.
Now, let's substitute the given values into the formula.We know that C24 = 93.
C24 represents the entry in the 2nd row and 4th column of matrix C. In other words, C24 represents the entry in the 4th row and 2nd column of matrix C⁻¹.
So, we can write:C24 = (C⁻¹)42 = 93 We need to find the value of (A⁻¹)42.
We can use the formula for finding the inverse of a matrix using determinants, cofactors, and adjugates.
Let's start by finding the adjugate matrix of A.
Adjugate matrix of A The adjugate matrix of A is the transpose of the matrix of cofactors of A.
In other words, we need to find the cofactor matrix of A and then take its transpose to get the adjugate matrix of A. Let's represent the cofactor matrix of A by C.
Then we have, adj(A) = CT. Here's how we can find the matrix of cofactors of A.
The matrix of cofactors of AThe matrix of cofactors of A is a 4x4 matrix in which each entry is the product of a sign and a minor.
The sign is determined by the position of the entry in the matrix.
The minor is the determinant of the 3x3 matrix obtained by deleting the row and column containing the entry.
Let's represent the matrix of cofactors of A by C.
Then we have, A = (−1)^(i+j) Mi,j . Here's how we can find the matrix of cofactors of A.
Now, we can find the adjugate matrix of A by taking the transpose of the matrix of cofactors of A.
The adjugate matrix of A is denoted by adj(A).adj(A) = CTNow, let's substitute the values of A, C, and det(A) into the formula to find the adjugate matrix of A.
adj(A) = CT
= [[31, 33, 18, -21], [-22, -3, 15, -12], [-13, 2, -9, 8], [-8, -5, 5, 4]]
Now, we can find the inverse of A using the formula
A⁻¹ = (1/det(A)) adj(A).A⁻¹
= (1/det(A)) adj(A)Here, det(A)
= -3. So, we have,
A⁻¹ = (-1/3) [[31, 33, 18, -21], [-22, -3, 15, -12], [-13, 2, -9, 8], [-8, -5, 5, 4]]
= [[-31/3, 22/3, 13/3, 8/3], [-33/3, 3/3, -2/3, 5/3], [-18/3, -15/3, 9/3, -5/3], [21/3, 12/3, -8/3, -4/3]]
So, the entry in the 4th row and 2nd column of A⁻¹ is 12/3 = 4.
Hence, the answer is 4.
To know more about invertible, visit:
https://brainly.in/question/8084703
#SPJ11
The entry in the 4th row and 2nd column of A⁻¹ is 32. Answer: 32
Given a 4x4 matrix, A whose determinant is -3 and C24 = 93, the entry in the 4th row and 2nd column of A⁻¹ is 32.
Let A be the 4x4 matrix whose determinant is -3. Also, let C24 = 93.
We are required to find the entry in the 4th row and 2nd column of A⁻¹. To do this, we use the following steps;
Firstly, we compute the cofactor of C24. This is given by
Cofactor of C24 = (-1)^(2 + 4) × det(A22) = (-1)^(6) × det(A22) = det(A22)
Hence, det(A22) = Cofactor of C24 = (-1)^(2 + 4) × C24 = -93.
Secondly, we compute the remaining cofactors for the first row.
C11 = (-1)^(1 + 1) × det(A11) = det(A11)
C12 = (-1)^(1 + 2) × det(A12) = -det(A12)
C13 = (-1)^(1 + 3) × det(A13) = det(A13)
C14 = (-1)^(1 + 4) × det(A14) = -det(A14)
Using the Laplace expansion along the first row, we have;
det(A) = C11A11 + C12A12 + C13A13 + C14A14
det(A) = A11C11 - A12C12 + A13C13 - A14C14
Where, det(A) = -3, A11 = -1, and C11 = det(A11).
Therefore, we have-3 = -1 × C11 - A12 × (-det(A12)) + det(A13) - A14 × (-det(A14))
The equation above impliesC11 - det(A12) + det(A13) - det(A14) = -3 ...(1)
Thirdly, we compute the cofactors of the remaining 3x3 matrices.
This leads to;C21 = (-1)^(2 + 1) × det(A21) = -det(A21)
C22 = (-1)^(2 + 2) × det(A22) = det(A22)
C23 = (-1)^(2 + 3) × det(A23) = -det(A23)
C24 = (-1)^(2 + 4) × det(A24) = det(A24)det(A22) = -93 (from step 1)
Using the Laplace expansion along the second column,
we have;
A⁻¹ = (1/det(A)) × [C12C21 - C11C22]
A⁻¹ = (1/-3) × [(-det(A12))(-det(A21)) - (det(A11))(-93)]
A⁻¹ = (-1/3) × [(-det(A12))(-det(A21)) + 93] ...(2)
Finally, we compute the product (-det(A12))(-det(A21)).
We use the Laplace expansion along the first column of the matrix A22.
We have;(-det(A12))(-det(A21)) = C11A11 = -det(A11) = -(-1) = 1.
Substituting the value obtained above into equation (2), we have;
A⁻¹ = (-1/3) × [1 + 93] = -32/3
Therefore, the entry in the 4th row and 2nd column of A⁻¹ is 32. Answer: 32
To know more about determinant, visit:
https://brainly.com/question/14405737
#SPJ11
Find the second derivative. Please simplify your answer if possible. y= 2x/ x2−4
The second derivative of y = 2x / (x² - 4) is found as d²y/dx² = -4x(x² + 4) / (x² - 4)⁴.
To find the second derivative of y = 2x / (x² - 4),
we need to find the first derivative and then take its derivative again using the quotient rule.
Using the quotient rule to find the first derivative:
dy/dx = [(x² - 4)(2) - (2x)(2x)] / (x² - 4)²
Simplifying the numerator:
(2x² - 8 - 4x²) / (x² - 4)²= (-2x² - 8) / (x² - 4)²
Now, using the quotient rule again to find the second derivative:
d²y/dx² = [(x² - 4)²(-4x) - (-2x² - 8)(2x - 0)] / (x² - 4)⁴
Simplifying the numerator:
(-4x)(x² - 4)² - (2x² + 8)(2x) / (x² - 4)⁴= [-4x(x² - 4)² - 4x²(x² - 4)] / (x² - 4)⁴
= -4x(x² + 4) / (x² - 4)⁴
Therefore, the second derivative of y = 2x / (x² - 4) is d²y/dx² = -4x(x² + 4) / (x² - 4)⁴.
Know more about the second derivative
https://brainly.com/question/30747891
#SPJ11
a sample is selected from a population, and a treatment is administered to the sample. if there is a 3-point difference between the sample mean and the original population mean, which set of sample characteristics has the greatest likelihood of rejecting the null hypothesis? a. s 2
Both of these factors increase the power of the statistical test and make it easier to detect a difference between the sample mean and the population mean.
The question is asking which set of sample characteristics has the greatest likelihood of rejecting the null hypothesis,
given that there is a 3-point difference between the sample mean and the original population mean.
The answer choices are not mentioned, so I cannot provide a specific answer.
However, generally speaking, a larger sample size (n) and a smaller standard deviation (s) would increase the likelihood of rejecting the null hypothesis.
This is because a larger sample size provides more information about the population, while a smaller standard deviation indicates less variability in the data.
Both of these factors increase the power of the statistical test and make it easier to detect a difference between the sample mean and the population mean.
Learn more about statistical test
brainly.com/question/32118948
#SPJ11
Prove that similar matrices share the same nullity and the same characteristic polynomial. Show that if dimV=n then every endomorphism T satisfies a polynomial of degree n2.
To prove that similar matrices share the same nullity and the same characteristic polynomial, we need to understand the properties of similar matrices and how they relate to linear transformations.
Let's start by defining similar matrices. Two square matrices A and B are said to be similar if there exists an invertible matrix P such that P⁻¹AP = B. In other words, they are related by a change of basis.
Same Nullity:Suppose A and B are similar matrices, and let N(A) and N(B) denote the null spaces of A and B, respectively. We want to show that N(A) = N(B), i.e., they have the same nullity.
Let x be an arbitrary vector in N(A).
This means that Ax = 0.
We can rewrite this equation as (P⁻¹AP)x = P⁻¹(0) = 0, using the similarity relation. Multiplying both sides by P, we get APx = 0.
Since Px ≠ 0 (because P is invertible), it follows that x is in the null space of B. Therefore, N(A) ⊆ N(B).
Similarly, by applying the same argument with the inverse of P, we can show that N(B) ⊆ N(A).
Hence, N(A) = N(B), and the nullity (dimension of the null space) is the same for similar matrices.
Same Characteristic Polynomial:Let's denote the characteristic polynomials of A and B as pA(t) and pB(t), respectively.
We want to show that pA(t) = pB(t), i.e., they have the same characteristic polynomial.
The characteristic polynomial of a matrix A is defined as det(A - tI), where I is the identity matrix. Similarly, the characteristic polynomial of B is det(B - tI).
To prove that pA(t) = pB(t), we can use the fact that the determinant of similar matrices is the same.
It can be shown that if A and B are similar matrices, then det(A) = det(B).
Applying this property, we have:
det(A - tI) = det(P⁻¹AP - tP⁻¹IP) = det(P⁻¹(A - tI)P) = det(B - tI).
This implies that pA(t) = pB(t), and thus, similar matrices have the same characteristic polynomial.
Now, let's move on to the second part of the question:
If dim(V) = n, then every endomorphism T satisfies a polynomial of degree n².
An endomorphism is a linear transformation from a vector space V to itself.
To prove the given statement, we can use the concept of the Cayley-Hamilton theorem.
The Cayley-Hamilton theorem states that every square matrix satisfies its characteristic polynomial.
In other words, if A is an n × n matrix and pA(t) is its characteristic polynomial, then pA(A) = 0, where 0 denotes the zero matrix.
Since an endomorphism T can be represented by a matrix (with respect to a chosen basis), we can apply the Cayley-Hamilton theorem to the matrix representation of T.
This means that if pT(t) is the characteristic polynomial of T, then pT(T) = 0.
Since dim(V) = n, the matrix representation of T is an n × n matrix. Therefore, pT(T) = 0 implies that T satisfies a polynomial equation of degree n², which is the square of the dimension of V.
Hence, every endomorphism T satisfies a polynomial of degree n² if dim(V) = n.
To learn more about Characteristic Polynomial visit:
brainly.com/question/29610094
#SPJ11
For the Friedman test, when χ_R^2 is less than the critical value, we decide to ______.
a.retain the null hypothesis
b.reject the null hypothesis
c.not enough information
For the Friedman test, when χ_R^2 is less than the critical value, we decide to reject the null hypothesis. Thus, the correct option is (b).
The Friedman test is a non-parametric statistical test used to compare the means of two or more related samples. It is typically used when the data is measured on an ordinal scale.
In the Friedman test, the null hypothesis states that there is no difference in the population means among the groups being compared. The alternative hypothesis suggests that at least one group differs from the others.
To perform the Friedman test, we calculate the Friedman statistic (χ_R^2), which is based on the ranks of the data within each group. This statistic follows a chi-squared distribution with (k-1) degrees of freedom, where k is the number of groups being compared.
The critical value of χ_R^2 is obtained from the chi-squared distribution table or using statistical software, based on the desired significance level (usually denoted as α).
Now, to answer your question, when the calculated χ_R^2 value is less than the critical value from the chi-squared distribution, it means that the observed differences among the groups are not significant enough to reject the null hypothesis. In other words, there is not enough evidence to conclude that the means of the groups are different. Therefore, we decide to retain the null hypothesis.
On the other hand, if the calculated χ_R^2 value exceeds the critical value, it means that the observed differences among the groups are significant, indicating that the null hypothesis is unlikely to be true. In this case, we would reject the null hypothesis and conclude that there are significant differences among the groups.
It's important to note that the decision to retain or reject the null hypothesis depends on comparing the calculated χ_R^2 value with the critical value and the predetermined significance level (α). The specific significance level determines the threshold for rejecting the null hypothesis.
Thud, the correct option is (b).
To learn more about the Friedman test visit : https://brainly.com/question/17354601
#SPJ11
a data analyst investigating a data set is interested in showing only data that matches given criteria. what is this known as?
Data filtering or data selection refers to the process of showing only data from a dataset that matches given criteria, allowing analysts to focus on relevant information for their analysis.
Data filtering, also referred to as data selection, is a common technique used by data analysts to extract specific subsets of data that match given criteria. It involves applying logical conditions or rules to a dataset to retrieve the desired information. By applying filters, analysts can narrow down the dataset to focus on specific observations or variables that are relevant to their analysis.
Data filtering is typically performed using query languages or tools specifically designed for data manipulation, such as SQL (Structured Query Language) or spreadsheet software. Analysts can specify criteria based on various factors, such as specific values, ranges, patterns, or combinations of variables. The filtering process helps in reducing the volume of data and extracting the relevant information for analysis, which in turn facilitates uncovering patterns, trends, and insights within the dataset.
Learn more about combinations here: https://brainly.com/question/28065038
#SPJ11
let a and b be 2022x2020 matrices. if n(b) = 0, what can you conclude about the column vectors of b
If the nullity of matrix B (n(B)) is 0, it implies that the column vectors of B are linearly independent.
If n(b)=0n(b)=0, where n(b)n(b) represents the nullity of matrix bb, it means that the matrix bb has no nontrivial solutions to the homogeneous equation bx=0bx=0. In other words, the column vectors of matrix bb form a linearly independent set.
When n(b)=0n(b)=0, it implies that the columns of matrix bb span the entire column space, and there are no linear dependencies among them. Each column vector is linearly independent from the others, and they cannot be expressed as a linear combination of the other column vectors. Therefore, we can conclude that the column vectors of matrix bb are linearly independent.
learn more about "vectors ":- https://brainly.com/question/25705666
#SPJ11
a scale model of a water tower holds 1 teaspoon of water per inch of height. in the model, 1 inch equals 1 meter and 1 teaspoon equals 1,000 gallons of water.how tall would the model tower have to be for the actual water tower to hold a volume of 80,000 gallons of water?
The model tower would need to be 80 inches tall for the actual water tower to hold a volume of 80,000 gallons of water.
To determine the height of the model tower required for the actual water tower to hold a volume of 80,000 gallons of water, we can use the given conversion factors:
1 inch of height on the model tower = 1 meter on the actual water tower
1 teaspoon of water on the model tower = 1,000 gallons of water in the actual water tower
First, we need to convert the volume of 80,000 gallons to teaspoons. Since 1 teaspoon is equal to 1,000 gallons, we can divide 80,000 by 1,000:
80,000 gallons = 80,000 / 1,000 = 80 teaspoons
Now, we know that the model tower holds 1 teaspoon of water per inch of height. Therefore, to find the height of the model tower, we can set up the following equation:
Height of model tower (in inches) = Volume of water (in teaspoons)
Height of model tower = 80 teaspoons
Know more about height here:
https://brainly.com/question/29131380
#SPJ11
1. An arithmetic sequence has a first term of −12 and a common difference of 4 . Find the 20th term. 2. In the arithmetic sequence whose first three elements are 20,16 , and 12 , which term is −96?
1. The 20th term of the arithmetic sequence is 64.
2. The term that equals -96 in the arithmetic sequence is the 30th term.
Therefore:Finding the 20th term of an arithmetic sequence, the formula below will be used;
nth term = first term + (n - 1) × common difference
So,
the first term is -12
the common difference is 4
20th term = -12 + (20 - 1) × 4
20th term = -12 + 19 × 4
20th term = -12 + 76
20th term = 64
2. determining which term in the arithmetic sequence is equal to -96, we need to find the common difference (d) first.
The constant value that is added to or subtracted from each word to produce the following term is the common difference.
The first three terms of the arithmetic sequence are: 20, 16, and 12.
d = second term - first term = 16 - 20 = -4
Common difference = -4
To find which term is -96, where are using the formula below:
nth term = first term + (n - 1) × d
-96 = 20 + (n - 1) × (-4)
-96 = 20 - 4n + 4
like terms
-96 = 24 - 4n
4n = 24 + 96
4n = 120
n = 120 = 30
4
n= 30
Learn more about arithmetic sequence here
https://brainly.com/question/30200774
#SPJ4
Question 1 Suppose A is a 3×7 matrix. How many solutions are there for the homogeneous system Ax=0 ? Not yet saved Select one: Marked out of a. An infinite set of solutions b. One solution c. Three solutions d. Seven solutions e. No solutions
Suppose A is a 3×7 matrix. The given 3 x 7 matrix, A, can be written as [a_1, a_2, a_3, a_4, a_5, a_6, a_7], where a_i is the ith column of the matrix. So, A is a 3 x 7 matrix i.e., it has 3 rows and 7 columns.
Thus, the matrix equation is Ax = 0 where x is a 7 x 1 column matrix. Let B be the matrix obtained by augmenting A with the 3 x 1 zero matrix on the right-hand side. Hence, the augmented matrix B would be: B = [A | 0] => [a_1, a_2, a_3, a_4, a_5, a_6, a_7 | 0]We can reduce the matrix B to row echelon form by using elementary row operations on the rows of B. In row echelon form, the matrix B will have leading 1’s on the diagonal elements of the left-most nonzero entries in each row. In addition, all entries below each leading 1 will be zero.Suppose k rows of the matrix B are non-zero. Then, the last three rows of B are all zero.
This implies that there are (3 - k) leading 1’s in the left-most nonzero entries of the first (k - 1) rows of B. Since there are 7 columns in A, and each row can have at most one leading 1 in its left-most nonzero entries, it follows that (k - 1) ≤ 7, or k ≤ 8.This means that the matrix B has at most 8 non-zero rows. If the matrix B has fewer than 8 non-zero rows, then the system Ax = 0 has infinitely many solutions, i.e., a solution space of dimension > 0. If the matrix B has exactly 8 non-zero rows, then it can be transformed into row-reduced echelon form which will have at most 8 leading 1’s. In this case, the system Ax = 0 will have either one unique solution or a solution space of dimension > 0.Thus, there are either an infinite set of solutions or exactly one solution for the homogeneous system Ax = 0.Answer: An infinite set of solutions.
To know more about matrix visit :
https://brainly.com/question/29132693
#SPJ11
When \( f(x)=7 x^{2}+6 x-4 \) \[ f(-4)= \]
The value of the function is f(-4) = 84.
A convergence test is a method or criterion used to determine whether a series converges or diverges. In mathematics, a series is a sum of the terms of a sequence. Convergence refers to the behaviour of the series as the number of terms increases.
[tex]f(x) = 7{x^2} + 6x - 4[/tex]
to find the value of f(-4), Substitute the value of x in the given function:
[tex]\begin{aligned} f\left( { - 4} \right)& = 7{\left( { - 4} \right)^2} + 6\left( { - 4} \right) - 4\\ &= 7\left( {16} \right) - 24 - 4\\ &= 112 - 24 - 4\\ &= 84 \end{aligned}[/tex]
Therefore, f(-4) = 84.
To learn more about function
https://brainly.com/question/14723549
#SPJ11
How many square metres of wall paper are needed to cover a wall 8cm long and 3cm hight
You would need approximately 0.0024 square meters of wallpaper to cover the wall.
To find out how many square meters of wallpaper are needed to cover a wall, we need to convert the measurements from centimeters to meters.
First, let's convert the length from centimeters to meters. We divide 8 cm by 100 to get 0.08 meters.
Next, let's convert the height from centimeters to meters. We divide 3 cm by 100 to get 0.03 meters.
To find the total area of the wall, we multiply the length and height.
0.08 meters * 0.03 meters = 0.0024 square meters.
Therefore, you would need approximately 0.0024 square meters of wallpaper to cover the wall.
learn more about area here:
https://brainly.com/question/26550605
#SPJ11
1. h(t) = 8(t) + 8' (t) x(t) = e-α|¹|₂ (α > 0)
The Laplace transform of the given functions h(t) and x(t) is given by L[h(t)] = 8 [(-1/s^2)] + 8' [e-αt/(s+α)].
We have given a function h(t) as h(t) = 8(t) + 8' (t) and x(t) = e-α|¹|₂ (α > 0).
We know that to obtain the Laplace transform of the given function, we need to apply the integral formula of the Laplace transform. Thus, we applied the Laplace transform on the given functions to get our result.
h(t) = 8(t) + 8'(t) x(t) = e-α|t|₂ (α > 0)
Let's break down the solution in two steps:
Firstly, we calculated the Laplace transform of the function h(t) by applying the Laplace transform formula of the Heaviside step function.
L[H(t)] = 1/s L[e^0t]
= 1/s^2L[h(t)] = 8 L[t] + 8' L[x(t)]
= 8 [(-1/s^2)] + 8' [L[x(t)]]
In the second step, we calculated the Laplace transform of the given function x(t).
L[x(t)] = L[e-α|t|₂] = L[e-αt] for t > 0
= 1/(s+α) for s+α > 0
= e-αt/(s+α) for s+α > 0
Combining the above values, we have:
L[h(t)] = 8 [(-1/s^2)] + 8' [e-αt/(s+α)]
Therefore, we have obtained the Laplace transform of the given functions.
In conclusion, the Laplace transform of the given functions h(t) and x(t) is given by L[h(t)] = 8 [(-1/s^2)] + 8' [e-αt/(s+α)].
To know more about Laplace transform visit:
brainly.com/question/30759963
#SPJ11
est the series below for convergence using the Ratio Test. ∑ n=0
[infinity]
(2n+1)!
(−1) n
3 2n+1
The limit of the ratio test simplifies to lim n→[infinity]
∣f(n)∣ where f(n)= The limit is: (enter oo for infinity if needed) Based on this, the series σ [infinity]
The series ∑(n=0 to infinity) (2n+1)!*(-1)^(n)/(3^(2n+1)) is tested for convergence using the Ratio Test. The limit of the ratio test is calculated as the absolute value of the function f(n) simplifies. Based on the limit, the convergence of the series is determined.
To apply the Ratio Test, we evaluate the limit as n approaches infinity of the absolute value of the ratio between the (n+1)th term and the nth term of the series. In this case, the (n+1)th term is given by (2(n+1)+1)!*(-1)^(n+1)/(3^(2(n+1)+1)) and the nth term is given by (2n+1)!*(-1)^(n)/(3^(2n+1)). Taking the absolute value of the ratio, we have ∣f(n+1)/f(n)∣ = ∣[(2(n+1)+1)!*(-1)^(n+1)/(3^(2(n+1)+1))]/[(2n+1)!*(-1)^(n)/(3^(2n+1))]∣. Simplifying, we obtain ∣f(n+1)/f(n)∣ = (2n+3)/(3(2n+1)).
Taking the limit as n approaches infinity, we find lim n→∞ ∣f(n+1)/f(n)∣ = lim n→∞ (2n+3)/(3(2n+1)). Dividing the terms by the highest power of n, we get lim n→∞ (2+(3/n))/(3(1+(1/n))). Evaluating the limit, we find lim n→∞ (2+(3/n))/(3(1+(1/n))) = 2/3.
Since the limit of the ratio is less than 1, the series converges by the Ratio Test.
Learn more about Ratio Test here: https://brainly.com/question/32809435
#SPJ11
P(x) = b*(1 - x/5)
b = ?
What does the value of the constant (b) need to
be?
If P(x) is a probability density function, then the value of the constant b needs to be 2/3.
To determine the value of the constant (b), we need additional information or context regarding the function P(x).
If we know that P(x) is a probability density function, then b would be the normalization constant required to ensure that the total area under the curve equals 1. In this case, we would solve the following equation for b:
∫[0,5] b*(1 - x/5) dx = 1
Integrating the function with respect to x yields:
b*(x - x^2/10)|[0,5] = 1
b*(5 - 25/10) - 0 = 1
b*(3/2) = 1
b = 2/3
Therefore, if P(x) is a probability density function, then the value of the constant b needs to be 2/3.
Learn more about functions from
https://brainly.com/question/11624077
#SPJ11
A ball is thrown vertically upward from the top of a building 112 feet tall with an initial velocity of 96 feet per second. The height of the ball from the ground after t seconds is given by the formula h(t)=112+96t−16t^2 (where h is in feet and t is in seconds.) a. Find the maximum height. b. Find the time at which the object hits the ground.
Answer:
Step-by-step explanation:
To find the maximum height and the time at which the object hits the ground, we can analyze the equation h(t) = 112 + 96t - 16t^2.
a. Finding the maximum height:
To find the maximum height, we can determine the vertex of the parabolic equation. The vertex of a parabola given by the equation y = ax^2 + bx + c is given by the coordinates (h, k), where h = -b/(2a) and k = f(h).
In our case, the equation is h(t) = 112 + 96t - 16t^2, which is in the form y = -16t^2 + 96t + 112. Comparing this to the general form y = ax^2 + bx + c, we can see that a = -16, b = 96, and c = 112.
The x-coordinate of the vertex, which represents the time at which the ball reaches the maximum height, is given by t = -b/(2a) = -96/(2*(-16)) = 3 seconds.
Substituting this value into the equation, we can find the maximum height:
h(3) = 112 + 96(3) - 16(3^2) = 112 + 288 - 144 = 256 feet.
Therefore, the maximum height reached by the ball is 256 feet.
b. Finding the time at which the object hits the ground:
To find the time at which the object hits the ground, we need to determine when the height of the ball, h(t), equals 0. This occurs when the ball reaches the ground.
Setting h(t) = 0, we have:
112 + 96t - 16t^2 = 0.
We can solve this quadratic equation to find the roots, which represent the times at which the ball is at ground level.
Using the quadratic formula, t = (-b ± √(b^2 - 4ac)) / (2a), we can substitute a = -16, b = 96, and c = 112 into the formula:
t = (-96 ± √(96^2 - 4*(-16)112)) / (2(-16))
t = (-96 ± √(9216 + 7168)) / (-32)
t = (-96 ± √16384) / (-32)
t = (-96 ± 128) / (-32)
Simplifying further:
t = (32 or -8) / (-32)
We discard the negative value since time cannot be negative in this context.
Therefore, the time at which the object hits the ground is t = 32/32 = 1 second.
In summary:
a. The maximum height reached by the ball is 256 feet.
b. The time at which the object hits the ground is 1 second.
To know more about maximum height refer here:
https://brainly.com/question/29116483
#SPJ11