What is the value of n when 3/5
of n equals 45? Enter the answer in the box.

Answer: -0.66667

Step-by-step explanation:

The probability that a randomly selected group of shoppers will spend a total of more than is 7.86%.

Standard deviation = √n × σ

                                = √50 × 30

                                = 212.1320

P( Σx > 5300) = P( Σx - nu / √n * σ > 5300 - 5000/212.1320)

                      = P(z > 1.414)

                      = 1 - P( z< 1.414)

                      = 0.078621

                      = 7.86%

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The value of x, if In triangle ABC, AC = 18, BC = 30 is 24.

A circle is a two-dimensional shape created by a collection of points that are spaced uniformly or uniformly apart from a fixed point (center) on the plane.

Given:

In triangle ABC, AC = 18, BC = 30

As we know, if a tangent is drawn from the circle then it will form a right-angled triangle thus, ∠ ABC = 90°,

Calculate the value of x by using Pythagoras' theorem as shown below,

[tex]AB^2 = BC^2 - AC^2[/tex]

Substitute the values

x² = 30² - 18²

x = √(900 - 324)

x = √576

x = 24

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Answer:

-----------------------------

We see that triangles MNO and MPQ are similar.

Corresponding sides of similar triangles are proportional:

The percent decrease of water in the tank is 50%.

What is the percent decrease?

The difference between starting and final numbers is the percentage drop. It displays a percentage loss of value compared to the original regardless of the units. The difference between the initial and final amounts is the amount of decline.

We have,

a tank contained 6 in. of water.

After several​ hours, it contained 3 in. of water.

percent decrease of water in the​ tank?

A tank contained 6 in of water.

After several hours, it contained 3 in of water

So, decrease in water =  6 in - 3 in = 3 cm

The percent decrease of water in the tank = (change in amount of water/initial amount) * 100

The percent decrease of water in the tank = (3/6) * 100

= 50

Hence, the percent decrease of water in the tank is 50%.

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To find the equation of a plane passing through two points and perpendicular to another plane, use the cross product.

First calculate the vector between the two given points,

then use the cross product to find a vector that is perpendicular to both the vector between the two points and the equation of the other plane.

Finally, use the two points and the perpendicular vector to find the equation of the plane.

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Answer:

4.    (2)   0

5.    (1)   1/25

Step-by-step explanation:

Definition: a^0 = 1

4.

8(x + 11)^0 - 2x^0 + 6x =

= 8 × 1 - 2 × 1 + 6 × (-1)

= 8 - 2 - 6

= 0

5.

[(5^3)^2]/[(5^2)^4] =

= 5^6 / 5^8

= 5^(-2)

= 1/5^2

= 1/25

If the numbers denoting the perimeter and area of the square are equal, the length of the diagonal will be 4√2 units.

What are Area and Perimeter?

An object's shape defines a region as its area. The area of a figure or any other two-dimensional geometric shape is how much space it takes up in a plane.

The whole length encircling a shape is referred to as its perimeter. Simply put, if a shape is stretched into a linear form, its perimeter is its length. In a two-dimensional plane, a shape's perimeter is the sum of its total dimensions.

Let the side of the square to be 'a'.

If Area and Perimeter of a square are equal then,

So,  Area = Perimeter

      a^2 = 4a

we get, a = 4 units.

Now, we can find the diagonal by using Pythagoras theorem,

We know that, Hypotenuse^2 = Base^2 + Perpendicular^2

Here, the hypotenuse will be the diagonal of the square.

So, We have,

            Diagonal^2 = 4^2 + 4^2

                                = 16 + 16

                                = 32

∴ Diagonal = √32 = 4√2 units.

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Answer:

(6,12)

Step-by-step explanation:

(Hopefully you can see the work if not then sorry)

Answer: The correct answer is A. Addition

Step-by-step explanation:

Let's solve for x in 2x+4y=10

Step 1: Add -4y to both sides.

2x+4y+−4y=10+−4y

2x=−4y+10

Step 2: Divide both sides by 2.

2x/2 = −4y+10/2

x = −2y +5

Now let's solve for x in 5x+4y = -12

Step 1: Add -4y to both sides.

5x+4y+−4y=−12+−4y

5x=−4y−12

Step 2: Divide both sides by 5.

5x/5 = −4y−12/5

x = −4/5y + −12/5

Here is what solving for Y looks like

Let's solve for y in 2x+4y=10

Step 1: Add -2x to both sides.

2x+4y+−2x=10+−2x

4y=−2x+10

Step 2: Divide both sides by 4.

4y/4 = −2x+10/4

y = −1/2x + 5/2

Now let's solve for y in 5x+4y = -12

Step 1: Add -5x to both sides.

5x+4y+−5x=−12+−5x

4y=−5x−12

Step 2: Divide both sides by 4.

4y/4 = −5x−12/4

y = −5/4 x−3

addition. thanks for the points. /j

Answer:

C (8,6)    A (2,14)

Step-by-step explanation:

(2+m)/2 = 5

2(2+m)/2 = 5 x 2

2+m = 10

m = 10 - 2

m = 8

(-6+n)/2 = 0

2(-6+n)/2 = 2 x 0

-6 + n = 0

n = 6

(-8+x)/2 = -3

2(-8+x)/2 = -3 * 2

-8 + x = -6

x = -6 + 8

x = 2

(-2+y)/2 = 6

2(-2+y)/2 = 6 * 2

-2 + y = 12

y = 12 + 2

y = 14

The revenue function for the given marginal revenue function

R'(x) = 0.06x² - 0.05x + 138 be

R(x) = 0.02x³ - 0.025x² + 138x

Given, a marginal revenue function,

R'(x) = 0.06x² - 0.05x + 138

we have to find the demand function

as, we know that the demand function can be find by integrating the marginal revenue function with respect to the variable x.

So, as the marginal revenue function is given,

R'(x) = 0.06x² - 0.05x + 138

On integrating with respect to x, we get

R(x) = 0.06x³/3 - 0.05x²/2 + 138x + C

where C is an arbitrary constant.

Also, it is given that

R(0) = 0

So, R(0) = 0.06(0) - 0.05(0) + 138(0) + C

0 = C

R(x) = 0.06x³/3 - 0.05x²/2 + 138x + 0

R(x) = 0.02x³ - 0.025x² + 138x

So, the revenue function be R(x) = 0.02x³ - 0.025x² + 138x

Hence, the revenue function be R(x) = 0.02x³ - 0.025x² + 138x

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Answer:

no

Step-by-step explanation:

Dilatation is acutally for medicine and dilation is actually for phycology.

Answer:

8 chess games are being played while 11 cribbage games are being played.

Let x represent the number of chess games and y represent the number of cribbage games.

Since there are 60 people, chess is a two-player game and cribbage is a four-player game, hence:

2x + 4y = 60  (1)

There are 3 more games of cribbage than games of chess, hence:

y = x + 3

-x + y = 3    (2)

Solving equations 1 and 2 simultaneously gives:

x = 8, y = 11

Therefore 8 chess games are being played while 11 cribbage games are being played.

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Step-by-step explanation:

If each student can only choose one elective, picking both is impossible, making the probability 0.

There is no chance of picking a single kid for music and art electives (0).

Information disclosed:

A high school's students are participating in electives.

Since each student is only allowed to choose one elective course from the options provided, they can either choose music or art as their elective.

Therefore, it is impossible to choose a student who has chosen to study art and music.

As a result, there is no chance of picking a student for whom both music and art are electives (0).

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Answer:

o answer this question, we need to apply the transformations in the reverse order. So first, we need to apply the translation according to the rule (x+3,y-3). This means that the coordinates of the triangle will become A'(7,2), B'(0,3), and C'(2,5). Next, we need to reflect the triangle across the line y=0. This means that the y-coordinates of the triangle will become negative. So the coordinates of the triangle will become A''(7,-2), B''(0,-3), and C''(2,-5). Finally, we need to rotate the triangle 90 degrees. In a standard cartesian coordinate system, a rotation of 90 degrees counterclockwise is equivalent to the transformation (x, y) -> (-y, x). So the final coordinates of the triangle will be A'''(-2,7), B'''(-3,0), and C'''(-5,2).

Answer:

Use PEMDAS to solve by simplifying and isolating the variable.

Step-by-step explanation:

Answer:

gradient = -2

Step-by-step explanation:

gradient = difference of y-coordinates / difference of x-coordinates

gradient = (y2-y1) / (x2-x1)

gradient = (-14)-0 / 1-(-6)

gradient = (-14)/7

gradient = -2

The percentage comparing the size of the large milkshake to the size of the small milkshake is 140%.

Let the size of small milkshake he x. So, the size of large milkshake will be 1.4x. Now, for percentage calculation the formula will be -

Percentage = size of large milkshake/size of small milkshake × 100

As we need to find the percentage of ratio, we need to simply take large and small size of milkshake.

Keep the values in formula -

Percentage = 1.4x/x ×100

Cancelling x from numerator and denominator

Percentage = 1.4 ×100

Performing multiplication

Percentage = 140%

Hence, the percentage is 140%.

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One assumption underlying linear regression is that the x values are normally distributed.

This above statement is true.

Linear regression is a linear approach for modeling the relationship between a scalar response and one or more explanatory variables (also called dependent and independent variables). When there is one explanatory variable, it is called simple linear regression. If there are more than one, the process is called multiple linear regression. This concept differs from multivariate linear regression, which predicts multiple correlated dependent variables instead of a single scalar variable.

In linear regression, relationships are modeled using a linear predictor function in which the unknown model parameters are estimated from the data. Such models are called linear models. Most commonly, the conditional mean of the response is assumed to be an affine function of the values ​​of the explanatory variables (or predictors) given those values. In rare cases, a conditional median or another quantile is used. Like all forms of regression analysis, linear regression focuses on the conditional probability distribution of the response variable given the values ​​of the predictor variables, rather than the joint probability distribution of all variables, which is the domain of multivariate analysis.

1. Weekly Exogeneous:

It means that we can treat the predictor variable x as a fixed value rather than as a random variable. This means, for example, that the predictor variables are assumed to be error-free, ie not contaminated with measurement error. This assumption is not realistic in many situations, but omitting it makes the within-variable error model much more difficult.

2. Linearity:

This means that the mean response variable is a linear combination of the parameters (regression coefficients) and the predictor variables. . The predictor variables themselves can be arbitrarily transformed. In fact, we can add multiple copies of the same underlying predictor variable, each transformed differently.

3. Constant variance or Homogeneity:

This means that the error variance does not depend on the values ​​of the predictor variables. Therefore, for any given fixed value of the predictor, the variability of the response is the same no matter how large or small the response is. This is often not the case because variables with large mean values ​​usually have more variance than variables with small mean values.

4. Independence from:

This assumes that the response errors are uncorrelated. (True statistical independence is a stronger condition than just lack of correlation and is often unnecessary, but can be exploited when it is known to hold.) Generalized least squares, etc. Some methods in can handle correlated errors, but this usually requires significantly more data unless some kind of regularization is used to bias the model to accept uncorrelated errors Bayesian linear regression is a popular method for handling this problem.

5. Lack of Multicollinearity:

Predictors are not fully multicollinear. For the standard least-squares estimation method, the design matrix X must have perfect column rank p. Otherwise, the predictors are perfectly multicollinear, meaning there is a linear relationship between two or more predictors. This can be caused by erroneously duplicating variables in the data, using linear transformations of the variables together with the original variables, or using multiple variables in the model. It can be caused by inserting a linear combination. as their average. It is also possible that too little data is available relative to the number of estimated parameters.

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Using the slope formula, the required equation is y = -4x + 1.

The slope or gradient of a line in mathematics is a numerical representation of the steepness and direction of the line.

The slope of a line can be used to gauge how steep it is.

The slope is theoretically determined as "rise over run" (change in y divided by change in x).

So, slope formula: m = y2 - y1/x2 - x2

Now we have: y = - 1/4 x + 6 and points (2, 9)

Now, substitute as follows:

(y-9) = -4(x+2)

In order to convert this equation into the slope-internet form, we can additionally solve it for y:

(y-9) = (-4*x+(4*2)

(y-9) = -4x - 8

y - 9 + 9 = -4x - 8 + 9

y - 0 = -4x + 1

y = -4x + 1

Therefore, using the slope formula, the required equation is y = -4x + 1.

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Answer:

It is difficult to give a precise answer without more information, such as the thickness of the sauce and the desired coverage. However, if we assume that the sauce is being applied evenly and that a thin layer is desired, the amount of sauce needed to cover a 16" pizza would be approximately 50.24 in2. This is because the area of a circle with a diameter of 16" is approximately 50.24 in2. To calculate the area of a circle, you can use the formula A = πr^2, where A is the area, π is approximately 3.14, and r is the radius of the circle (which is half the diameter). In this case, the radius would be 8" and the area would be approximately 50.24 in2.

Step-by-step explanation:

Answer: 11.25

Step-by-step explanation: you just find out what is 25% of 45.00

Answer:

11.25

Step-by-step explanation:

turn 25 into a decimal and then multiply 45

Answer:

In the linear function equation y = -7x + 1, the value of m (the slope of the line) is -7. The slope of a line represents the rate at which the y-value changes as the x-value changes. In this case, for every unit increase in the x-value, the y-value decreases by 7 units. Therefore, the function has a rate of -7.

To find the slope of a line from a linear function equation, you can use the formula m = (y2 - y1)/(x2 - x1), where (x1, y1) and (x2, y2) are two points on the line. In this case, we can choose any two points on the line and substitute their coordinates into the formula to find the slope. For example, if we choose the points (1, -6) and (2, -13), we get:

m = (-13 - (-6)) / (2 - 1) = -7

Alternatively, we can use the fact that the slope of a line is equal to the coefficient of the x-term in the linear function equation. In this case, the coefficient of the x-term is -7, so the slope of the line is also -7.

Step-by-step explanation:

The image of point P(4,6) after a reflection over the x-axis is given as follows:

P'(4,-6).

The coordinates of the point P in this problem are given as follows:

P(4,6).

Meaning that:

The rule for a reflection over the x-axis is given as follows:

(x,y) -> (x,-y).

Meaning that the x-coordinate remains constant, while the y-coordinate has the signal exchanged.

Applying the rule, the coordinates of the image are given as follows:

Then the coordinates of the image after the reflection are given as follows:

P'(4,-6).

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The term "standard error of the mean" refers to the sample mean's standard deviation. And the formula for the standard deviation is σ/√n.

The square root of a random variable's variance is the standard deviation of a sample, statistical population, data collection, or probability distribution. Compared to the average absolute deviation, it is algebraically easier but less reliable in practice. The standard deviation has the advantage of being represented in the same unit as the data, unlike the variance, which is a desirable characteristic.

The standard error of a statistic (such the sample mean) is related to the standard deviation of a population or sample, however they are very different. Standard deviation of the population divided by the square root of sample size yields the standard deviation of the sampling distribution of means. "Standard error of the mean" is the term for the sampling distribution's standard deviation.

The term "standard error of the mean" refers to the sample mean's standard deviation.

And the formula for the standard deviation is given by σ/√n.

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