Look at the picture graphs. How many fewer students walk to school in Class A than in Class B?

A picture graph is titled

Enter your answer in the box.

fewer students

The Box-Cox transformation is a type of transformation that applies to the dependent variable. It can be used when the dependent variable is not normally distributed.

It can also be applied when the errors (i.e., residuals) are not normally distributed.The Box-Cox transformation is a statistical technique that can be used to transform non-normal data into a more normal distribution. This can be useful for a variety of statistical analyses, such as regression analysis and hypothesis testing.

The Box-Cox transformation is named after George Box and David Cox, who developed the technique in the 1960s.

The Box-Cox transformation is a power transformation, which means that it is a function of the form y

λ

, where y is the original data and λ is a parameter. The value of λ is chosen to maximize the likelihood of the data.

The Box-Cox transformation can be used to improve the fit of a linear regression model when the dependent variable is not normally distributed. The transformation can also be used to improve the power of a hypothesis test when the residuals are not normally distributed.

The Box-Cox transformation is a versatile statistical technique that can be used to improve the analysis of non-normal data.

Here are some additional details about the Box-Cox transformation:

The Box-Cox transformation is a monotonic transformation, which means that it preserves the order of the data. This is important for statistical analyses, such as regression analysis, where the order of the data is important.

The Box-Cox transformation is a relatively simple transformation to implement. It can be easily implemented in most statistical software packages.

The Box-Cox transformation is a powerful tool for improving the analysis of non-normal data. It can be used to improve the fit of linear regression models, the power of hypothesis tests, and the interpretability of statistical results.

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The different sides of the showcase are comparable in that the two of them have a greater part of perceptions in the scope of 5 to 9 MPa.

The different sides of the showcase seem to have comparable dispersion designs, with most of perceptions falling inside the 5 to 9 MPa range. This proposes that there might be some hidden element that is making the qualities on the two sides be packed here, conceivably a typical estimation or handling technique.

Nonetheless, without additional data about the information and what it addresses, it is challenging to say for specific what may be driving this likeness. In any case, the comparative conveyance examples of the two arrangements of information are significant and investigating further.

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For a standard normal distribution, a negative value of z indicates that the observed value is below the mean of the distribution.

In a standard normal distribution, which has a mean of 0 and a standard deviation of 1, a negative value of z indicates that the observed value is located below the mean. The z-score represents the number of standard deviations a data point is away from the mean.

A negative z-score means that the observed value is lower than the mean, indicating that it falls to the left of the center of the distribution. This means that the data point is relatively lower compared to the average and can provide information about its position within the distribution and its deviation from the mean.

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Answer:

I have no idea

Step-by-step explanation:

The rate of change of the function that has a graph that passes

through the points (-1, 3) and (-2,-4) is slope and is equal to 7.

We have given two points  (-1, 3) and (-2,-4) .

Rate of change of graph is given by slope

Using slope formula , we get

      m = -4 - 3 / -2 - (-1)

      m = -7 / -2 + 1

      m = -7 / -1

       m = 7

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In math, a graph can be defined as a pictorial representation or a diagram that represents data or values in an organized manner. ... We then represent the data using a bar graph. The number of each of the supplies is represented with bars. The more the height of the bar, the more is the number of the supply or item used.

Answer:

In math, a graph can be defined as a pictorial representation or a diagram that represents data or values in an organized manner.

Step-by-step explanation:

Answer:

Step-by-step explanation:

Answer:

180 ft cubed.

Step-by-step explanation:

The formula for volume is V = lwh

6 is the height, 10 is the length, and 3 is the width.

So then you would multiply 6, 10 and 3, which equals 180.

The answer is 80, because if you work backwards, you add 30 by 10, which equals 40, 40*2 equals 80.

Answer:

Step-by-step explanation:

x \(\geq\) -3 i hope this helps

since it a close circle It's either less than or equal to or greater than or equal to but since the arrow is pointing to the right it means that X is greater than or equal to negative 3

The submarine must lower at least 2698 measures and the submarine must rise at least 516.45 measures. Trigonometric angles are the angles in a right- angled triangle using which different trigonometric functions can be represented.

Given that, the sonar system detects an icicle 4000 measures ahead, with an angle of depression of 34 ∘ to the bottom of the icicle.

What are trigonometric angles?

Trigonometric angles are the angles in a right- angled triangle using which different trigonometric functions can be represented. Some standard angles used in trigonometry are 0º, 30º, 45º, 60º, 90º.

a) We know that, tan θ = ( vertical/ Base)

Let the number of measures must the submarine lower to pass under the icicle bex.

tan θ = x/ 4000

⇒ tan 34 ° = x/ 4000

⇒0.6745 = x/ 4000

⇒ x = 0.6745 × 4000

⇒ x = 2698 measures

b) Let the number of measures must the submarine rise to pass over the sunken boat bey.

tan θ = y/ 1500

⇒ tan 19 ° = y/ 1500

⇒0.3443 = y/ 1500

⇒ y = 0.3443 × 1500

⇒ y = 516.45 measures

thus, the submarine must lower at least 2698 measures and the submarine must rise at least 516.45 measures.

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Answer:

P = 16w - 4

Step-by-step explanation:

P = (5w-2 + 3w)2

P = (8w-2)2

P = 16w - 4

The tangent plane to the equation 2x - z^2 + 4y^2 + 2y at the point (-3, -4, 47) is given by the equation -14x + 8y + z = -81.

To find the tangent plane, we need to determine the coefficients of x, y, and z in the equation of the plane. The tangent plane is defined by the equation:

Ax + By + Cz = D

where A, B, C are the coefficients and D is a constant. To find these coefficients, we first calculate the partial derivatives of the given equation with respect to x, y, and z. Taking the partial derivative with respect to x, we get 2. Taking the partial derivative with respect to y, we get 8y + 2. And taking the partial derivative with respect to z, we get -2z.

Now, we substitute the coordinates of the given point (-3, -4, 47) into the partial derivatives. Plugging in these values, we have 2(-3) = -6, 8(-4) + 2 = -30, and -2(47) = -94. Therefore, the coefficients of x, y, and z in the equation of the tangent plane are -6, -30, and -94, respectively.

Finally, we substitute these coefficients and the coordinates of the point into the equation of the plane to find the constant D. Using the point (-3, -4, 47) and the coefficients, we have -6(-3) - 30(-4) - 94(47) = -81. Hence, the equation of the tangent plane is -14x + 8y + z = -81.

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Step-by-step explanation:

The distributive property of multiplication over addition states that for any numbers a, b, and c, a × (b + c) = a × b + a × c.

Looking at Marta's work, we can see that the distributive property was used in line 1, where she distributed the 2 to both terms inside the parentheses:

2(x - 4) + 2x = x + 7

2x - 8 + 2x = x + 7

4x - 8 = x + 7

Therefore, the step in Marta's work that is justified by the distributive property is line 1, where she distributed the 2 to both terms inside the parentheses.

Answer:

Angle 1 = 115 degrees

Angle 2 = 65 degrees

Step-by-step explanation:

Angle 1: Same-side interior angle of Line 1

Angle 2: Same-side interior angle of Line 2

We know that the difference between the angles is 50 degrees. Since the angles are supplementary, we can write the equation:

Angle 1 + Angle 2 = 180

Now, we need to express the difference between the angles in terms of Angle 1 or Angle 2. We can choose either angle, so let's express it in terms of Angle 1:

Angle 1 - Angle 2 = 50

We can rewrite this equation as:

Angle 1 = 50 + Angle 2

Now substitute this expression for Angle 1 into the first equation:

(50 + Angle 2) + Angle 2 = 180

Combine like terms:

2Angle 2 + 50 = 180

Subtract 50 from both sides:

2Angle 2 = 130

Divide by 2:

Angle 2 = 65

Now substitute this value back into the equation for Angle 1:

Angle 1 = 50 + Angle 2

Angle 1 = 50 + 65

Angle 1 = 115

Therefore, the angles are as follows:

Angle 1 = 115 degrees

Angle 2 = 65 degrees

Answer: 9.95

Step-by-step explanation:

in similar trapezoids a rearranged formula can be used to solve for the missing base:

\(c^{2} =ab\)  ⇒ \(c=\sqrt{ab}\)

a = the top of the trapezoid

b= the base of the trapezoid

c = the missing base

\(c=\sqrt{(9)(11)}\)

\(c = 9.949\)

Answer:

(1,3)

Step-by-step explanation:

Substitute in 3x for y in the equation x + y = 4

x + 3x = 4

4x = 4  Divide both sides by 4

x = 1

Substitute 1 for x in either of the 2 original equations

x + y = 4

1 + y = 4  Subtract 1 from both sides

y = 3

(1,3)

since r is so widely used, it is appropriate to calculate r for nonlinear data: False.

The calculation of r (Pearson's correlation coefficient) is based on the assumption that the relationship between the two variables is linear. Therefore, it is not appropriate to calculate r for nonlinear data as it may give misleading results.

In summary, it is not appropriate to calculate r for nonlinear data as it assumes a linear relationship between the variables. Other methods such as Spearman's rank correlation or Kendall's tau may be used for nonlinear data.


n: The correlation coefficient 'r' is specifically designed to measure the strength and direction of a linear relationship between two variables. While it is widely used, calculating 'r' for nonlinear data is not appropriate, as it will not accurately capture the true nature of the relationship between the variables.

When dealing with nonlinear data, it is better to use other statistical methods designed for such data, rather than relying on the correlation coefficient 'r'.

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To find the values of |A|, |B|, AB, and |AB|, we perform the following calculations:

(a) |A|: The determinant of matrix A

|A| = 4(1(4) - 1(1)) - 2(1(4) - 1(1)) + 1(1(1) - 4(1))

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

= 12 - 6 - 3

= 3

Therefore, |A| = 3.

(b) |B|: The determinant of matrix B

|B| = 0(1(4) - 1(1)) - 1(1(4) - 1(1)) + 1(1(1) - 4(0))

= 0(3) - 1(3) + 1(1)

= 0 - 3 + 1

= -2

Therefore, |B| = -2.

(c) AB: The matrix product of A and B

AB = (4(4) + 0(1) + 1(1)) (4(0) + 0(1) + 1(1)) (4(1) + 0(1) + 1(1))

= (16 + 0 + 1) (0 + 0 + 1) (4 + 0 + 1)

= 17 1 5

Therefore, AB =

| 17 1 5 |.

(d) |AB|: The determinant of matrix AB

|AB| = 17(1(5) - 1(1)) - 1(1(5) - 1(1)) + 5(1(1) - 5(0))

= 17(4) - 1(4) + 5(1)

= 68 - 4 + 5

= 69

Therefore, |AB| = 69.

Now, let's verify that |A|||B| = |AB|:

|A|||B| = 3|-2|

= 3(2)

= 6

|AB| = 69

Since |A|||B| = |AB|, the verification is correct.

To summarize:

(a) |A| = 3

(b) |B| = -2

(c) AB =

| 17 1 5 |

(d) |AB| = 69

The calculations and verifications are complete.

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To solve for the sum and difference of complex numbers in polar form, we can add or subtract their magnitudes and their angles separately.

Given:

a = 3.1∠63.2°

b = 6.6∠26.2°

To find a + b:

We can use the formula for adding complex numbers in polar form:

(a + b) = (3.1∠63.2°) + (6.6∠26.2°)

       = (3.1 cos 63.2° + 6.6 cos 26.2°) + j(3.1 sin 63.2° + 6.6 sin 26.2°)

       ≈ 6.94∠37.4°

Therefore, a + b = 6.94∠37.4°.

To find a - b:

We can use the formula for subtracting complex numbers in polar form:

(a - b) = (3.1∠63.2°) - (6.6∠26.2°)

       = (3.1 cos 63.2° - 6.6 cos 26.2°) + j(3.1 sin 63.2° - 6.6 sin 26.2°)

       ≈ -3.78∠141.5°

Therefore, a - b = -3.78∠141.5°.

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Answer:

x/4

Step-by-step explanation:

x + 4/4 = y + 3/3

do cross multiplication

4(y +3)=3(x +4)

4y +12=3x +12

4y=3x + 12 -12

4y=3x

y/3 = x/4

The expected value of the sum of n dice is E[X] = 3.5n.

Indicator random variables are a probability theory tool. They are used to help evaluate probabilities for a given random variable.
Let X be the total number that results from n throws of a fair six-sided die.

By linearity of expectation,E[X] = E[X1 + X2 + ... + Xn] = E[X1] + E[X2] + ... + E[Xn]

Where Xj is the number obtained on the jth die roll.

Each Xi is a discrete random variable with a uniform distribution on the set {1, 2, 3, 4, 5, 6}.

To evaluate E[Xi], we define an indicator random variable Yi as follows: Yi = 1 if Xi = i and Yi = 0 otherwise.

Then, Xi = 1Y1 + 2Y2 + 3Y3 + 4Y4 + 5Y5 + 6Y6.

Thus,E[Xi] = E[1Y1 + 2Y2 + 3Y3 + 4Y4 + 5Y5 + 6Y6] = E[1Y1] + E[2Y2] + ... + E[6Y6] = 1P(Xi = 1) + 2P(Xi = 2) + ... + 6P(Xi = 6) = (1 + 2 + ... + 6) / 6 = 3.5.

Therefore, E[X] = E[X1] + E[X2] + ... + E[Xn] = 3.5n.

Thus, we have computed the expected value of the sum of n dice using indicator random variables. The expected value of the sum of n dice is E[X] = 3.5n.

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Answer:

x^2 = (28)^2 + (45)^2

= 784 + 2025

= 2809

x = 53

The equation of the line is y = (1/3)x - 6.

The equation of a line is given by:

y = mx + c

where m is the slope of the line and c is the y-intercept.

Example:

The slope of the line y = 2x + 3 is 2.

The slope of a line that passes through (1, 2) and (2, 3) is 1.

We have,

The equation of a line is y = mx + c.

Now,

m = 1/3

And,

(-6, -8) = (x, y)

So,

y = mx + c

-8 = 1/3 x -6 + c

-8 = -2 + c

-8 + 2 = c

c = -6

Now,

y = mx + c

y = (1/3)x - 6

Thus,

The equation of the line is y = (1/3)x - 6.

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Answer:

I think A, 24

Step-by-step explanation:

because 2 x 24 = 48

Answer:

45

Step-by-step explanation:

Answer:

279.06

Step-by-step explanation:

Answer:

equation on circle: (x-h)^2 + (y-k)^2 =r^2

(x-3)^2 + (y+2)^2 = 841

Answer:

hope it is self explanatory