Pls awnser soon I’m confused with how to plot them

$28.79

You divide the bill by the number of people present

ur welcome bro :)

Answer:

The answer is $28.79

Sorry, my other answer was deleted, but here you go!

Answer:

I’m pretty sure it’s the bottom one

Step-by-step explanation:

For the carpenter to be sure that both length of the beam to be same length the base angles of the triangle must be the same.

An isosceles triangle is a triangle having two sides of equal length. The angles opposite the equal sides are also equal.

In other words, an isosceles triangle is a triangle with two sides equal and the base angles equal to each other.

The carpenter builds a set of triangular roof support . The carpenter wants the both sides of the slanted beam to be the same in lengths,

Therefore, for the carpenter to be sure the both length of the beam is the same, the base angles must be the same. This follows the rules of an isosceles triangle where two sides are the same and the base angles must be the same.

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Answer:

Answer is 1 minute

Step-by-step explanation:

The y-axis shows how many blocks and the the x-axis shows the time. So if he traveled 6 blocks, based on the graph, it took him 1 minute

Answer:

do it your self cuz your smart

Step-by-step explanation:

i know it

Answer:

The y-intercept is (0, 1.2). To find the slope, use the distance formula. The distance formula is Y2-Y1/X2-X1.

1.4-1.2/1-0

0.2/1

0.2

The slope is 0.2. The format for an linear equation is y=mx+b. So, the equation of the line is y=0.2x+1.2.

:)

The probability of three people sharing the same birthdays is approximately \(0.0000075\) or \(0.00075\)%, and there are three different pairs of people when there are three humans.

In conclusion, the probability of three people sharing the same birthdays is extremely low (approximately \(0.0000075 \ or \ 0.00075\%\)), and when there are three humans, there exist three different pairs of people.

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1.  If you use a 0.05 level of significance in a (two-tail) hypothesis test you will not be able to reject the null hypothesis. 2. You would reject the null hypothesis in a two-tail hypothesis test.

The p-value, under the assumption that the null hypothesis is correct, is the likelihood of receiving a test statistic that is equally extreme or more extreme than the observed value.

In hypothesis testing, we decide whether to accept or reject the null hypothesis by comparing the p-value to the significance level (alpha). We reject the null hypothesis and come to the conclusion that there is support for the alternative hypothesis if the p-value is less than or equal to alpha. If the p-value exceeds alpha, we are unable to reject the null hypothesis and come to the conclusion that the alternative hypothesis is unsupported by sufficient data.

1. If you perform a two-tail hypothesis test with a significance threshold of 0.05 and your Zstat is -0.76, you will not be able to reject the null hypothesis (H0). This is due to the fact that the Zstat value does not fall within the Z-rejection distribution's zone, which corresponds to the 5% level of significance.

2. You would reject the null hypothesis in a two-tail hypothesis test if you used a 0.05 level of significance and your Zstat was 2.21. (H0). This is so because the Zstat value lies in the Z-rejection distribution's zone, which is equivalent to the 5% threshold of significance.

3. We need to find the area under the standard normal distribution curve to the left of -1.38 and to the right of 1.38, then double it, in order to determine the p-value in a two-tail hypothesis test for Zstat = -1.38.

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Answer:

\(m\angle ABC=60\textdegree\)

Step-by-step explanation:

\(m\angle ABC=360-90-90-m\angle AOC\\=180-120\\=60\textdegree\)

The probability that these two spins added together would equal 7 is 1/25.

The probability that each spin will land on a specific number is 1/5. Since the spins are independent, we can multiply the probability of each spin landing on the desired number to find the probability of both spins landing on the desired numbers.

To get the sum 7, Charlie's spinner needs to land on 4, which is (1/5) and Libby's spinner needs to land on 3 which is also (1/5).

The probability of both spins landing on the desired numbers is (1/5) * (1/5) = 1/25.

It is important to note that the probability is low because the spins are independent events, meaning that the outcome of one spin does not affect the outcome of the other spin.

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The new depth of the orange juice is now 4cm

From the question, we are to calculate the depth of the orange juice after Jane turns the carton

First, we will determine the volume of orange juice in the carton.

The volume of orange juice in the carton = 10 cm × 6 cm × 8cm

Volume of orange juice in the carton = 480 cm³

Now, we will determine the depth of the orange juice when the carton stands on the shaded face

If carton stands on the shaded face,

The length becomes 20 cm

and

The width becomes 6 cm

Let the new depth of the orange juice be h

Then,

We can write that

480 = 20 × 6 × h

480 = 120 × h

h = 480/120

h = 4 cm

Hence, the new depth of the orange juice is now 4cm

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Triangle XYZ = UYW

We know that the 2 triangles are similar using angles Theorem

Let us find XZ to determine UY (for confirmation):

To determine XZ, use the Pythagorean Theorem:

\(a^{2} + b^{2} = c^{2} \\ OR\\leg^{2} +leg^{2} = Hypotenuse^{2} \\24^{2} + b^{2} = 26^{2} \\576+b^{2} =676\\b^{2} =100\\b=10\)

You can see that XZ = WU

Now find UY= 26

Corresponding angles

Hope it helps!

Answer: 204ft or 68yd

Step-by-step explanation:

Answer:

C

Step-by-step explanation:

this is quite confusing

The percentage of B that A is will be 66.7%.

It's important to note that 1 yard = 3 feet.

A is already given as 2 feet

In this case, B = 1 yard = 3 feet

Therefore, the percentage will be:

= A / B × 100

= 2/3 × 100

= 66.7%

Therefore, the percentage is 66.7%.

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Answer:

Step-by-step explanation:

\(\tt{ \green{P} \orange{s} \red{y} \blue{x} \pink{c} \purple{h} \green{i} e}\)

(1.1) A matrix equation b = [√11+e, 0, √2, √2]²T 2) a)  Gaussian elimination without pivoting does not provide unique solution. b) Gaussian elimination with scaled partial pivoting cannot provide a unique solution.(c) Basic LU decomposition is x = [0.788, -3.12, 0.167, 4.55]²T.

The given linear system can be written in matrix form as:

A × x = b

where A is the coefficient matrix, x is the column vector of variables (x1, x2, x3, x4), and b is the column vector on the right-hand side.

The coefficient matrix A is:

A = [[0, -e, √2, -√3],

[π², e, -e², 3/7],

[√5, -√6, 1, -√2],

[π³, e², -√7, -1/9]]

The variable vector x is:

x = [x1, x2, x3, x4]²T

The right-hand side vector b is:

b = [√11+e, 0, √2, √2]²T

(1.2) Solving the system using:

(a) Gaussian elimination without pivoting:

To solve the system using Gaussian elimination without pivoting, we perform row operations on the augmented matrix [A | b] until it is in row-echelon form. Then back-substitute to find the values of x.

The augmented matrix [A | b] is:

[0, -e, √2, -√3 | √11+e]

[π², e, -e², 3/7 | 0]

[√5, -√6, 1, -√2 | √2]

[π³, e², -√7, -1/9 | √2]

Performing row operations, the row-echelon form:

[π², e, -e², 3/7 | 0]

[0, -e, √2, -√3 | √11+e]

[0, 0, 0, 0 | 0]

[0, 0, 0, 0 | 0]

From the row-echelon form, that the system is underdetermined, with two free variables. Therefore, Gaussian elimination without pivoting cannot provide a unique solution.

(b) Gaussian elimination with scaled partial pivoting:

To solve the system using Gaussian elimination with scaled partial pivoting, row operations with partial pivoting until the augmented matrix [A | b] is in row-echelon form. Then back-substitute to find the values of x.

The augmented matrix [A | b] is:

[0, -e, √2, -√3 | √11+e]

[π², e, -e², 3/7 | 0]

[√5, -√6, 1, -√2 | √2]

[π³, e², -√7, -1/9 | √2]

Performing row operations with scaled partial pivoting, the row-echelon form:

[π³, e², -√7, -1/9 | √2]

[0, -e, √2, -√3 | √11+e]

[0, 0, -0.03, -1.02 | 0.027]

[0, 0, 0, 0 | 0]

From the row-echelon form that the system is underdetermined, with two free variables. Therefore, Gaussian elimination with scaled partial pivoting cannot provide a unique solution.

(c) Basic LU decomposition:

The system using LU decomposition, factorize the coefficient matrix A into the product of lower triangular matrix L and upper triangular matrix U. Then we solve the equations L × y = b for y using forward substitution, and U × x = y for x using back-substitution.

The coefficient matrix A is:

A = [[0, -e, √2, -√3],

[π², e, -e², 3/7],

[√5, -√6, 1, -√2],

[π³, e², -√7, -1/9]]

Performing LU decomposition,

L = [[1, 0, 0, 0],

[π², 1, 0, 0],

[√5, 0.3128, 1, 0],

[π³, 4.3626, 2.4179, 1]]

U = [[0, -e, √2, -√3],

[0, e + π², -e² + e × π², 3/7 - e × √2],

[0, 0, 0.9693, -0.3651],

[0, 0, 0, -2.2377]]

Solving L × y = b for y using forward substitution:

[1, 0, 0, 0] ×y = √11+e

[π^2, 1, 0, 0] × y = 0

[√5, 0.3128, 1, 0] × y = √2

[π^3, 4.3626, 2.4179, 1] × y = √2

Solving the above equations,

y = [0.788, -3.12, 0.167, 4.55]²T

Now, solving U × x = y for x using back-substitution:

[0, -e, √2, -√3] × x = 0.788

[0, e + π², -e² + e × π², 3/7 - e ×√2]× x = -3.12

[0, 0, 0.9693, -0.3651] ×x = 0.167

[0, 0, 0, -2.2377] ×x = 4.55

Solving the above equations,

x = [0.788, -3.12, 0.167, 4.55]²T

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Answer:

x=−8

Step-by-step explanation:

Step 1: Subtract 6x from both sides.

8x+16−6x=6x−6x

2x+16=0

Step 2: Subtract 16 from both sides.

2x+16−16=0−16

2x=−16

Step 3: Divide both sides by 2.

2x/2=−16/2

x=−8    Good luck bro

A basis for the solution space is given by the following three vectors:

{ (4, 1, 1, 0), (-3, 0, 0, 1), (0, 1, 1, 0) }

To determine the dimension of the solution space and find a basis for the homogeneous system, we can put the system of equations into matrix form and perform row reduction. Let's rewrite the system as a matrix equation:

css

Copy code

[ 1  -4  3  -1 | 0 ]

[ 2  -8  6  -2 | 0 ]

Now, let's perform row reduction to find the echelon form of the augmented matrix:

R2 = R2 - 2R1:

css

Copy code

[ 1  -4  3  -1 | 0 ]

[ 0   0  0   0 | 0 ]

As we can see, the second row of the matrix is all zeros. This indicates that the system has dependent equations, and the solution space is not trivial.

The number of pivots in the echelon form determines the dimension of the solution space. In this case, we have one pivot in the first column. Therefore, the dimension of the solution space is 4 - 1 = 3.

To find a basis for the solution space, we can set the free variables (variables corresponding to the columns without pivots) to be parameters. Let's denote the free variables as x₃ = t and x₄ = s. Then, we can express the dependent variables in terms of these parameters:

x₁ = 4t - 3s

x₂ = t

x₃ = t

x₄ = s

Therefore, a basis for the solution space is given by the following three vectors:

{ (4, 1, 1, 0), (-3, 0, 0, 1), (0, 1, 1, 0) }

These vectors span the solution space and are linearly independent. Hence, they form a basis for the solution space.

In summary, the dimension of the solution space is 3, and a basis for the solution space is { (4, 1, 1, 0), (-3, 0, 0, 1), (0, 1, 1, 0) }.

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Answer:

It has one solution but technically you could solve for either X or Y.

Answer:

-2x³ + 9x² + 8x - 6

Step-by-step explanation:

(2x−1)(−x^2+4x+6)

= -2x³ + 8x² + 12x + x² - 4x - 6

= -2x³ + 9x² + 8x - 6

So, the answer is  -2x³ + 9x² + 8x - 6

The lift force pushing up on the plane is approximately 2,625,992 N.

To determine the lift force pushing up on the plane, we'll use the given terms:

plane's speed (725 m/s),

altitude (4000 m),

air density (0.819 kg/m³),

air velocity above the wing (805 m/s),

air velocity below the wing (711 m/s),

and wing area (45.0 m²).

Calculate the pressure difference above and below the wing using Bernoulli's equation.

ΔP = (0.5 × air density × (velocity below wing² - velocity above wing²))
ΔP = (0.5 × 0.819 kg/m³ × (711 m/s² - 805 m/s²))

Calculate the lift force.
Lift Force = ΔP × Wing Area
Lift Force = (-58355.388) × 45.0

Lift Force = -2625992.46 N

Performing the calculations, we find that the lift force pushing up on the plane is approximately 2,625,992 N.

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An angular resolution of 0.56 arcseconds is required to see the Sun and Jupiter as separate objects. This is an extremely small angle and would necessitate the use of a large telescope.

Angular resolution is defined as the minimum angle between two objects that enables a viewer to see them as distinct objects rather than as a single one. A better angular resolution corresponds to a smaller minimum angle. The angular resolution formula is θ = 1.22 λ / D, where λ is the wavelength of light and D is the diameter of the telescope. Thus, the angular resolution formula can be expressed as the smallest angle between two objects that allows a viewer to distinguish between them. In arcseconds, the answer should be given to two significant figures.

To see the Sun and Jupiter as distinct points of light, we need to have a good angular resolution. The angular resolution is calculated as follows:

θ = 1.22 λ / D, where θ is the angular resolution, λ is the wavelength of the light, and D is the diameter of the telescope.

Using this formula, we can find the minimum angular resolution required to see the Sun and Jupiter as separate objects. The Sun and Jupiter are at an average distance of 5.2 astronomical units (AU) from each other. An AU is the distance from the Earth to the Sun, which is about 150 million kilometers. This means that the distance between Jupiter and the Sun is 780 million kilometers.

To determine the angular resolution, we need to know the wavelength of the light and the diameter of the telescope. Let's use visible light (λ = 550 nm) and assume that we are using a telescope with a diameter of 2.5 meters.

θ = 1.22 λ / D = 1.22 × 550 × 10^-9 / 2.5 = 2.7 × 10^-6 rad

To convert radians to arcseconds, multiply by 206,265.θ = 2.7 × 10^-6 × 206,265 = 0.56 arcseconds

The angular resolution required to see the Sun and Jupiter as distinct points of light is 0.56 arcseconds.

This is very small and would require a large telescope to achieve.

In conclusion, we require an angular resolution of 0.56 arcseconds to see the Sun and Jupiter as separate objects. This is an extremely small angle and would necessitate the use of a large telescope.

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The chemical manufacturer should lease 10 tank cars with a 7,000 gallon capacity, 12 tank cars with a 14,000 gallon capacity, and 5 tank cars with a 28,000 gallon capacity. This will give them a combined carrying capacity of 546,000 gallons, which is the amount they need.

We can use a system of equations to solve this problem. Let x be the number of 7,000 gallon tank cars, y be the number of 14,000 gallon tank cars, and z be the number of 28,000 gallon tank cars. We know that x + y + z = 27 and 7x + 14y + 28z = 546,000. We can solve the first equation for x and substitute it into the second equation to get 14y + 28z = 27 - 7x = 27 - 7(27 - y) = y + 189. We can then solve this equation for z to get z = (y + 189) / 28.

We can now try different values of y to see which ones give us an integer value for z. If y = 1, then z = 7. If y = 2, then z = 8. If y = 3, then z = 9. And so on. We can continue this until we find a value of y that gives us an integer value for z that is greater than or equal to 5. The smallest such value of y is 10. When y = 10, z = 17. This means that the chemical manufacturer should lease 10 tank cars with a 7,000 gallon capacity, 12 tank cars with a 14,000 gallon capacity, and 5 tank cars with a 28,000 gallon capacity. This will give them a combined carrying capacity of 546,000 gallons, which is the amount they need.

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The first four terms of the binomial series are 1-  1/2 x+  3/16 x^2-  1/16 x^3. (Option C)

In mathematics, the binomial series is a generalization of the polynomial that comes from a binomial formula expression like ^n for a nonnegative integer n. For a binomial series, the formula for the expansion of any terms is given by

(1+x)^m=1+mx+  m(m-1)/2! x^2+  m(m-1)(m-2)/3! x^3+⋯.

For the given function (1+ x/4)^(-2)

m = -2

x = x/4

Hence, using the above expansion formula

The first term = 1

The second term = mx = (-2)(x/4) = -x/2

The third term =m(m-1)/2! (x/4)^2=  (-2(-2-1))/(2*1*16) x^2=3/16 x^2

The fourth term = m(m-1)(m-2)/3! (x/4)^3=(-2(-2-1)(-2-2))/(3*2*1*64) x^3=-1/16 x^3

Hence, the first four terms of the binomial series are 1-  1/2 x+  3/16 x^2-  1/16 x^3.

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Answer:

hope this helps:)

Step-by-step explanation:

Hello loll6591!

\( \huge \boxed{\mathbb{QUESTION} \downarrow}\)

Perform the indicated operation and simplify the result. x/5+x/6

\( \large \boxed{\mathfrak{Answer \: with \: Explanation} \downarrow}\)

\( \frac{x}{5} + \frac{x}{6} \\ \)

First, find the LCM of 5 & 6, which is 30.

\( \rightarrow \frac{x}{5} \times \frac{6}{6} = \frac{6x}{30} \\ \\ \rightarrow\frac{x}{6} \times \frac{5}{5} = \frac{5x}{30} \)

Now add 6x/30 with 5x/30.

\( \frac{6x}{30} + \frac{5x}{30} \\ = \frac{6x + 5x}{30} \\ = \large \boxed{\boxed{\frac{11x}{30} }}\)

__________________

Hope it'll help you!

ℓucαzz ッ

Answer:

We first need to know what X & Y is...

Step-by-step explanation:

Answer:

16 quarters and 4 nickels

4×25=1.00 × 4 = 4.00 4×4=16-quarters

20-16=4-nickels

Step-by-step explanation:

Hope this helps!

Statistical process control technique that permits only 3.4 defects per million opportunities is Six Sigma.

Six Sigma is a statistical technique that emphasizes the necessity of a standardized approach to enhancing and optimizing the efficiency of the production and management processes by reducing the variation and waste within them. It concentrates on controlling a process to ensure that the results of a process are consistent and reliable by using statistical methods. The objective of the Six Sigma process is to produce 3.4 errors or defects per million opportunities. If the process is better than Six Sigma, it is considered more consistent and predictable.
Six Sigma's statistical approach to process control encompasses a range of tools and methods. Six Sigma's primary objective is to increase revenue and profits by developing and delivering high-quality products and services while eliminating defects and reducing waste.
Six Sigma aims to improve quality by detecting and reducing the reasons for variations in production processes. It accomplishes this by developing quality management practices that enable it to assess quality, establish goals, and implement best practices to achieve those goals.
In conclusion, Six Sigma is a process control approach that emphasizes statistical methods for process control and improvement. Six Sigma is used to reduce variability and eliminate waste, and its goal is to achieve 3.4 defects per million opportunities.

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