Solve for n in the proportion. 215/370=344/n

Answer:

29.46 cubic inches is the answer

Step-by-step explanation:

Answer:

The common difference is the difference between any two consecutive terms in an arithmetic sequence. 2, 8, 14, 20, 26 … = 2, (2 + 6), (8 + 6), (14 + 6), (20+ 6) … Therefore, the common difference is 6.

Step-by-step explanation:

brainliest?

True. The method of least squares is a commonly used technique in regression analysis, which involves finding the line (or curve) that best fits the data points.

In multiple regression models, this method is used to estimate the regression coefficients, which are the values that determine the relationship between the independent variables and the dependent variable. The aim of this method is to minimize the sum of the squares of the differences between the observed values and the predicted values, also known as the error.

True, the method of least squares is used to estimate the regression coefficients in multiple regression models. It aims at minimizing the summation of the squared errors between the observed values and the predicted values based on the model.

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The estimated probability of getting at least 10 correct answers by random guessing is approximately 0.023, or about 2.3%.

To solve this problem, we need to use the binomial distribution. Let X be the number of correct answers out of 27, with each question having 4 possible choices, so the probability of guessing correctly is 1/4.

Let p = 1/4 be the probability of guessing a question correctly, and q = 1-p = 3/4 be the probability of guessing incorrectly.

The probability of getting at least 10 correct answers out of 27 is:

P(X >= 10) = 1 - P(X < 10)

We can use the binomial probability formula to calculate P(X < 10) as follows:

P(X < 10) = Σ_{k=0}^{9} (27 choose [tex]k) * p^k * q^(27-k)[/tex]

where (27 choose k) = 27! / (k! * (27-k)!) is the number of ways to choose k correct answers out of 27.

We can use a calculator or a computer program to evaluate this sum, or we can use a normal approximation to the binomial distribution.

Using the normal approximation, we can approximate the binomial distribution with a normal distribution with mean μ = np = 27*(1/4) = 6.75 and standard deviation σ = sqrt(npq) = sqrt(27*(1/4)*(3/4)) = 1.64.

Then, we can standardize the random variable X as follows:

Z = (X - μ) / σ

The probability of getting at least 10 correct answers is equivalent to the probability of Z being greater than or equal to:

Z' = (10 - 6.75) / 1.64 = 1.99

Using a standard normal distribution table or a calculator with a normal cumulative distribution function, we can find:

P(Z >= 1.99) = 0.023

Therefore, the estimated probability of getting at least 10 correct answers by random guessing is approximately 0.023, or about 2.3%.

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The linear equation that can be used to find the hourly parking rate is III. 7+4.50x = 16.00

Given that

Next, we calculate the unit rate for hours after 2 hours from the above values using the following formula

Rate = Change in price/Change in time

So, we have the following equation

Rate = (20.50 - 16.00)/(5 - 4)

Rate = 4.5

So, the function would be

f(x) = 4.5x + 7

From the list of options, the correct equation is (III) 7 + 4.50x = 16.00

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Compared to the 1970s, there has been an increase in the proportion of middle-aged women in the 2010s who have opted not to have children.

This trend is often attributed to factors such as increased access to birth control, greater career opportunities for women, and a shift in societal attitudes towards motherhood. However, it's worth noting that there are still many women who do choose to have children in their middle age, and the decision to have children is a deeply personal one that varies from individual to individual.

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Answer:

Step-by-step explanation:

8.4x - 5 = 20.2

8.4x = 20.2 + 5

8.4x = 25.2

x = 25.2 : 8.4

x = 3

A point-slope equation for the line that has slope 3 and passes through the point (5, 21) is y - 21 = 3(x - 5).

In Mathematics and Geometry, the point-slope form of a straight line can be calculated by using the following mathematical equation (formula):

y - y₁ = m(x - x₁)

Where:

At data point (5, 21) and a slope of 3, a linear equation for this line can be calculated by using the point-slope form as follows:

y - y₁ = m(x - x₁)

y - 21 = 3(x - 5)  

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To use polar coordinates, we need to first express the equations of the surfaces in polar coordinates.

In polar coordinates, we have x = r cosθ and y = r sinθ. Therefore, the equation x^2 + y^2 = 1 becomes r^2 = 1.

To find the volume of the solid, we can integrate over the region in the xy-plane bounded by the circle r=1. For each point (r,θ) in this region, the corresponding point in 3D space has coordinates (r cosθ, r sinθ, r^2+3)

Thus, the volume of the solid can be expressed as the double integral:

V = ∬R (r^2+3) r dr dθ

where R is the region in the xy-plane bounded by the circle r=1.

We can evaluate this integral using the limits of integration 0 to 2π for θ, and 0 to 1 for r:

V = ∫₀^¹ ∫₀^(2π) (r^3 + 3r) dθ dr

= ∫₀^¹ [(r^3/3 + 3rθ)]₀^(2π) dr

= ∫₀^¹ (2πr^3/3 + 6πr) dr

= 2π[(1/12) + (1/2)]

= 2π(5/12)

= (5/6)π

Therefore, the volume of the solid is (5/6)π.

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The estimated probability that she makes a third successful shot is 0.75, or 75%.

A. Given the prior distribution of the success probability, o, as Uniform [0,1], which can be viewed as a Beta distribution with parameters α=1 and β=1 (Beta[1,1]). Since she made two successful shots in a row and the outcomes are independent, we can update our belief about her success probability using the Bayes' theorem. For a Beta distribution, the update rule is quite simple:

Posterior distribution = Beta(α + number of successes, β + number of failures)

In this case, she made two successful shots, so the number of successes is 2, and the number of failures is 0. Thus, the posterior distribution of θ is:

Posterior distribution = Beta(α + 2, β) = Beta(3,1)

B. To estimate the probability that she makes a third successful shot, we can use the expected value of the posterior distribution, which for a Beta distribution is given by:

Expected value = α / (α + β)

In our case, α = 3 and β = 1, so the expected value is:

Expected value = 3 / (3 + 1) = 3/4

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The total number of five-digit odd numbers is 864 + 216 = 1080

The units digit must be one of 7 or 9 to make a five-digit odd number. The last four digits can be any of the six provided digits, and they can be repeated.

So we have two scenarios:

Case 1: The first digit of the units is 7.

In this scenario, we have four options for the initial digit (2, 4, 6, or 8) and six options for the following digits. As a result, the total number of five-digit odd numbers is:

4 x 6 x 6 x 6 = 864

Case 2: The unit digit is nine.

In this scenario, we only have one option for the initial digit (7) and six options for the other digits.

As a result, the total number of five-digit odd numbers is 864 + 216 = 1080

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The radius of a sphere with volume 288π cm³ is equal to 6 centimeter.

In Mathematics and Geometry, the volume of a sphere can be calculated by using the following mathematical equation (formula):

Volume of a sphere = 4/3 × πr³

Where:

r represents the radius.

By substituting the given parameters into the formula for the volume of a sphere, we have the following;

288π = 4/3 × π × r³

r³ = 864/4

Radius, r = ∛216

Radius, r = 6 centimeter.

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The sampling technique used for the following study is E) Cluster Sampling, where the scientist selects randomly chosen voting districts in a county and then interviews each member from each selected district.

Cluster sampling involves dividing a population into groups or clusters based on some criteria and then selecting a random sample of clusters to include in the study. In this case, the voting districts are the clusters, and the scientist interviews each member of the selected clusters, which is called complete enumeration.

Cluster sampling is a useful technique when it is impractical or too expensive to sample individuals from the entire population. It can also be helpful when studying populations that are geographically dispersed. However, it is important to keep in mind that cluster sampling may introduce some degree of bias if the clusters are not representative of the population as a whole. To minimize this risk, it is important to ensure that the clusters are selected randomly and that the members within each cluster are sampled using an appropriate technique, such as simple random sampling.

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Answer:  C

Step-by-step explanation:

The shape is a trapezoid.  the formula for the area of a trapezoid is

A = (1/2) (b1+b2) h       b1=20      b2=10              h=12.5

A=(1/2)(20+10)(12.5)

=(1/2)(30)(12.5)

=187.5

Answer:

  AB is not tangent to the circle

Step-by-step explanation:

You want to know if segment AB of length 9 is tangent to the circle with diameter 12 at point B given that the third side of the triangle is 13 units long.

You know that the numbers {5, 12, 13} are a Pythagorean triple, so these lengths form a right triangle. The lengths (9, 12, 13) cannot form a right triangle, so AB will not be perpendicular to the diameter.

AB is not a tangent

The segments will form a right triangle if they satisfy the Pythagorean theorem, which requires the sum of the squares of the shorter sides equal the square of the longest side.

  9² +12² = 13²

  81 +144 = 169 . . . . . . false — not a right triangle

A "form factor" can be computed for the triangle to tell if the largest angle is acute, right, or obtuse. That is ...

  f = a² +b² -c²

  f = 81 +144 -169 = 56 . . . . . . . f > 0 means the triangle is acute

The measure of the largest angle can be found from ...

  C = arccos(f/(2ab)) = arccos(56/216) ≈ 74.97°

This is further confirmation that AB is not tangent to the circle.

__

Additional comment

The attached drawing is to scale. It shows AB has two points of intersection with the circle, so is not tangent.

There is a fraction of 0.525 liters of vinegar in the container for a container that holds 0.7 liters of oil and vinegar and 3/4 of the mixture is vinegar.

First, find out how much of the mixture is vinegar:

3/4 of the mixture = 3/4 × 0.7 = 0.525 liters

Therefore, there are 0.525 liters of vinegar in the container.

To express this as a fraction, we can write 0.525 as 525/1000 and simplify it to 21/40.

So, the answer in both fraction and decimal forms are:

0.525 liters = 21/40 liters

To check our answer in decimal form, we can add the amount of oil and vinegar to make sure it equals the total volume of the container:

0.525 + (1 - 0.75) × 0.7 = 0.525 + 0.175 = 0.7

As expected, the sum is equal to the total volume of the container, which is 0.7 liters.

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The question is -

A container holds 0.7 liters of oil and vinegar. 3/4 of the mixture is vinegar. how many liters of vinegar is in the container?

Cosx, -sinx, -cosx + C, sinx + C are the derivative answers to the question.

The derivative of sin x with respect to x is cos x.
The derivative of cos x with respect to x is -sin x.
The antiderivative of sin x with respect to x is -cos x + C, where C is the constant of integration.
The antiderivative of cos x with respect to x is sin x + C, where C is the constant of integration.

1. The derivative of sin(x) with respect to x is cos(x).
2. The derivative of cos(x) with respect to x is -sin(x).
3. The antiderivative of sin(x) with respect to x is -cos(x) + C, where C is the constant of integration.
4. The antiderivative of cos(x) with respect to x is sin(x) + C, where C is the constant of integration.

A derivative in mathematics is a measurement of how much a function alters as its input alters. It refers to how quickly a function alters in relation to its input variable. The slope of the tangent line to the function at a certain point is what it is, in other words.

The limit of the ratio of the change in the output to the change in the input, as the change in the input approaches zero, is known as the derivative of a function, indicated by the symbols f'(x) or [tex]dy/dx[/tex].

The opposite of differentiation is an antiderivative, usually referred to as an indeterminate integral. It is a function that yields the original function when differentiated. In other words, f(x) follows if [tex]f'(x) = g(x)[/tex].

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The maximum total number of observations with a deviation of at least 5 would be 45.

To solve this problem, we can start by using the formula for the sum of deviations:

Sum of deviations = (number of observations) x (average deviation)

Since the average deviation in this case is 5, we can write:

Sum of deviations = (number of observations) x 5

We are given that the sum of deviations is 5 for 100 observations, so we can substitute these values into the formula and solve for the number of observations:

5 = 100 x 5

Number of observations = 100

This means that there are a total of 100 observations that have a deviation of at least 5 from the mean of 20. However, we are asked for the maximum total number of observations that meet this criteria. Since all 100 observations have a deviation of at least 5, there can be no additional observations that also have a deviation of at least 5. Therefore, the maximum total number of observations that meet this criteria is 100.

If the sum of deviations of 100 observations from 20 is 5, it means that the overall sum of differences between each observation and 20 is equal to 5. To find the maximum total number of observations that have a deviation of at least 5, we need to minimize the deviations of the other observations.

Let's say there are "x" observations with a deviation of at least 5. The remaining (100 - x) observations should have deviations that counterbalance the sum of deviations for the "x" observations so that the total sum of deviations is 5.

Assuming the minimum deviation for the (100 - x) observations is -4 (because the least deviation for the "x" observations is 5), we can create an equation:

5x - 4(100 - x) = 5

Solve for x:

5x - 400 + 4x = 5
9x = 405
x = 45

So, the maximum total number of observations with a deviation of at least 5 would be 45.

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Ken left $ 39.36 in balance amount.

We have,

Last balance amount in Ken account = $539.36

Amount that Ken withdraw = $500

So, after withdrawing the amount left

= 539.36 - 500

= $ 39.36

Thus, Ken left $ 39.36 in balance amount.

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An expression that can be sued to approximate m< U include the following: B. sin⁻¹(0.38).

In order to determine the ratios for sin U, we would apply the basic sine trigonometry ratio because the given side lengths represent the opposite side and hypotenuse of a right-angled triangle;

sin(θ) = Opp/Hyp

Where:

For the sine ratio, we have:

sin(θ) = Opp/Hyp

sin(U) = 7.5/19.5

U = sin⁻¹(0.38)

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Answer:

6

Step-by-step explanation:

With 5 elements, we have a total of 6 nodes. We need to obtain the temperature at each of these 6 nodes.

Increasing the number of elements is referred to as mesh refinement.

I hope this helped you:D

The number of different towers with a height of 8 cubes can the child build with 2 red cubes, 3 blue cubes, and 4 green cubes is 312.

To solve this problem, we can use the formula for the number of ways to arrange n objects with k of one type, m of another type, etc. Specifically, the formula of combination  is:

(n-1)! / (k! * m! * ...)

In this case, we have 8 cubes total, with 2 red, 3 blue, and 4 green. So applying the formula, we get:

(8-1)! / (2! * 3! * 4!) = 7! / (2! * 3! * 4!)

= (7*6/2) * (5*4*3/6) * (4*3*2*1/24)

= 21 * 20 * 1

= 420

However, we have to remember that we are leaving out one cube. This means that for each tower we counted, there is actually a corresponding tower that is identical except for the color of the cube that was left out. So we need to divide by 3 (since there are 3 choices for which cube to leave out). This gives us:

420 / 3 = 140

So the answer is (c) 312.

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The probability of event B given event A has occurred is 0.5.

By using the conditional probability formula, we have:

P r(B | A) = P r(A ∩ B) / P r(A)

We are given that P r(A) = 0.4 and P r(A ∩ B) = 0.2.

Substituting these values, we get:

P r(B | A) = 0.2 / 0.4

By simplifying;

P r(B | A) = 0.5

Therefore, the probability of event B given event A has occurred is 0.5.

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The equations can be solved as shown below.

a) We have that;

( x+2 ) ( 10-x ) = 0

10x - x^2 + 20 - 2x = 0

x^2 + 2x - 10x - 20 = 0

x^2 -8x - 20 = 0

x = 10 or - 2

b) 7x + 15 = 6x + 3

7x - 6x = 3 - 15

x = - 12

c) 5x ( 3x + 5 ) = 0

15x^2 + 25x = 0

x = 0 or -5/3

d) (2x-1) ² = 0

(2x - 1) (2x - 1)

4x^2 - 2x - 2x + 1 =0

4x^2 - 4x + 1 = 0

x = 1/2(twice)

e) 4x² +13 = 14

4x² + 13 -14 = 0

4x² - 1 = 0

x = ±1/2

f) ( x-9 )² =16

(x - 9) (x - 9) = 16

x^2 - 9x - 9x + 81 = 16

x^2 - 18x +81 - 16 = 0

x^2 - 18x + 65 = 0

x = 13 or x = 5

These are the solutions of the equations.

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Answer: f(2) = 18

Step-by-step explanation:

     To solve for f(2), we will substitute 2 for x in the equation.

Given:

     f(x) = 7x + 4

Substitute:

     f(2) = 7(2) + 4

Multiply:

     f(2) = 14 + 4

Add:

     f(2) = 18

Answer:

18

Step-by-step explanation:

Just replace x with 2 in the function

f(2) = 7(2) + 4

f(2) = 14 + 4

f(2) = 18

The probability that Kelsi will eat a custard filled donut and then a chocolate donut is approximately 0.1455.

To calculate the probability of Kelsi eating a custard filled donut and then a chocolate donut, we need to use the concept of conditional probability.

The probability of Kelsi eating a custard filled donut first is 4/12 (since there are 4 custard filled donuts out of a total of 12 donuts).

After Kelsi eats a custard filled donut, there are only 11 donuts left, and 6 of them are chocolate donuts. So the probability of Kelsi eating a chocolate donut second, given that she already ate a custard filled donut, is 6/11.

To find the probability of both events happening together (Kelsi eating a custard filled donut first and a chocolate donut second), we multiply the probabilities:

P(custard first and chocolate second) = P(custard first) * P(chocolate second | custard first)

P(custard first and chocolate second) = (4/12) * (6/11)

P(custard first and chocolate second) = 0.1455

Rounding to 4 decimal places, we get:

P(custard first and chocolate second) ≈ 0.1455

Therefore, the probability that Kelsi will eat a custard filled donut and then a chocolate donut is approximately 0.1455.

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The required value of x is 15 for the given angles.

Since ∠KJN and ∠KJL form a linear pair, their sum is 180 degrees.

Therefore, we have:

2x - 10 + ∠KJL = 180

Simplifying, we get:

∠KJL = 190 - 2x

Similarly, angle MJN and angle MJL form a linear pair, so:

2x + 40 + ∠MJL = 180

∠MJL = 140 - 2x

Since ∠KJM is a right angle, we have:

∠KJN + ∠MJN = 90

Substituting the given values, we get:

2x - 10 + 2x + 40 = 90

4x = 60

x = 15

Hence, the value of x is 15.

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The linear regression equation is y = 41,461.54 + 2,714.46x.

The correlation coefficient is 0.992180617.

The type of correlation is a positive linear correlation.

Yes, the correlation is strong because the correlation coefficient approximately equals to 1.

The employee's income for his 15th year of work is $82,178.

In this scenario, the years (x) would be plotted on the x-axis of the scatter plot while the income (y) would be plotted on the x-axis of the scatter plot.

By critically observing the scatter plot (see attachment) which models the relationship between the years (x) and the income (y), an equation for the linear regression is given by:

y = 41,461.54 + 2,714.46x

Next, we would predict this employee's income for his 15th year of work as follows;

y = 41,461.54 + 2,714.46(15)

y = 41,461.54 + 40,716.9

y = $82,178.44 ≈ $82,178

In conclusion, there is a strong correlation between the data because the correlation coefficient (r) approximately equals to 1;

0.7＜|r| ≤ 1   (strong correlation)

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The transfer function for a filter is a mathematical expression that describes how the filter affects the input signal.
Once we have determined the type of filter, we can derive the transfer function (part b) using standard methods for that type of filter. The transfer function will be a mathematical expression that relates the input signal to the output signal for the filter.
Finally, using the transfer function (part c), we can determine the parameters requested in the textbook. These parameters might include things like the cutoff frequency, the resonance frequency, or the Q factor of the filter.

Since I don't have access to your specific textbook, I'll provide a general outline on how to approach this type of problem using the terms you've provided: functions, function, and parameters.

1. Determine the type of filter by observation:
Analyze the given circuit diagram or description and identify the type of filter based on its components and configuration. Common filter types include low-pass, high-pass, band-pass, and band-stop filters. In this problem, we are dealing with functions and their parameters. A function is a mathematical equation or relationship that relates one variable (or set of variables) to another. In this case, we are dealing with transfer functions, which relate the input and output signals of a filter.

2. Derive the transfer function and determine the type of filter:
The transfer function, which is a function that relates the output to the input of a system, can be derived by analyzing the circuit using techniques such as Laplace transforms or phasor analysis. The transfer function typically takes the form H(s) = Y(s) / X(s), where Y(s) is the output and X(s) is the input. To derive the transfer function, we need to determine the relationship between the input and output signals for the filter.


Once you have derived the transfer function, the type of filter can be determined based on the mathematical form of the function. For example, a low-pass filter may have a transfer function that decreases as the frequency increases, while a high-pass filter may have a transfer function that increases as the frequency increases.

3. Determine the parameters requested in the textbook:
Using the derived transfer function, identify the parameters that the textbook asks for. These parameters may include cutoff frequency, gain, or other circuit component values. To calculate these parameters, you may need to rearrange the transfer function equation or use mathematical techniques such as solving for the roots or poles.

Remember, the specific steps to solve the problem will depend on the given problem in your textbook. The outlined steps above provide a general approach to help you understand and tackle this type of problem using the terms functions, function, and parameters.

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The conclusion about p using an absolute value inequality would be that |p - 72| ≤ 4. This means that the difference between the true proportion p and the estimated proportion 72% is no more than 4%.

In other words, p is most likely to fall within the range of 68% to 76%, as determined by the margin of error in the statistical polling calculation. This emphasizes the importance of recognizing and accounting for the potential for error and uncertainty in estimating percentages and proportions in various fields, including politics and marketing.
To describe the conclusion about the percentage (p) in statistical polling using an absolute value inequality, you can use the margin of error (4% in this example) as a way to create the inequality.
In this case, we have a poll result of 72% and a margin of error of 4%. So, the absolute value inequality would be:
|p - 72%| ≤ 4%
This inequality shows that the difference between the true percentage (p) and the poll result (72%) should be less than or equal to the margin of error (4%). In other words, the true percentage (p) is most likely to be between 68% and 76% (72% minus 4% to 72% plus 4%).

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