Find The Area Of This Shape.

Using the fact that the sum of the angles in a triangle is 180 degrees we do know that their sum is 119 degrees.

To understand why we used the fact that the sum of angles in a triangle is 180 degrees, let's take a closer look at the diagram.

We see that Angle 2 and Angle 5 are on the same side of a transversal and are therefore supplementary angles. This means that their sum is 180 degrees:

Angle 2 + Angle 5 = 180

We can substitute the value of Angle 5 (49 degrees) for Angle 5 and x + 12 for Angle 2 to get:

x + 12 + 49 = 180

Simplifying the equation, we get:

x = 119 - 49 - 12

x = 58

This gives us the value of x, but not the measure of Angle 2. To find the measure of Angle 2, we need to use the fact that the sum of angles in a triangle is 180 degrees.

We can write an equation using angles 2, 3, and 4 (which we now know is 49 degrees) as follows:

Angle 2 + Angle 3 + Angle 4 = 180

Substituting the known values, we get:

x + 12 + Angle 3 + 49 = 180

Simplifying the equation, we get:

x + Angle 3 = 119

So, we know that the sum of Angle 3 and x is 119 degrees, but we still don't know the measure of either angle on its own.

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The correct graph to display the data is: C. Bar graph with the title "favorite sport" and the x-axis labeled "sport" and the y-axis labeled....

A bar graph is an appropriate choice for displaying the data collected from the middle school students because it allows us to compare discrete categories (in this case, sports) and their corresponding frequencies (number of students).

In this case, the data is as follows:

The correct bar graph has the title "Favorite Sport" to indicate the subject of the data being represented.

The x-axis is labeled "Sport" and lists the four sports - basketball, baseball, soccer, and tennis - in separate, distinct categories. The y-axis is labeled "Number of Students" and displays the frequency or count of students who chose each sport as their favorite.

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The mean of the dataset, rounded to the nearest hundredth, is approximately 265.86.

Calculate the mean of the dataset from calculator?

The mean, also known as the average, is a measure of central tendency that represents the typical value of a dataset. It is calculated by summing up all the values in the dataset and dividing the sum by the number of values.

To calculate the mean of the dataset from the calculator output, we need to use the following formula:

mean = Σx / n

where Σx is the sum of all the values in the dataset, and n is the number of values in the dataset.

From the calculator output, we can see that:

Σx = 1861

n = 7

Substituting these values into the formula, we get:

mean = 1861 / 7

mean = 265.857142857

However, the problem asks us to round the mean to the nearest hundredth, so we need to round the answer to two output decimal places. To do this, we look at the third decimal place of the answer, which is 7, and we check the next decimal place, which is 1. Since 1 is less than 5, we leave the third decimal place as it is and drop all the decimal places after it. Therefore, the rounded mean is:

mean  ≈ 265.86

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If Mr. Vara's square pyramid post caps have a volume of 94.5 cubic centimeters, and he assumes that the height and side length are equal, then the side length of each cap should be approximately 6.04 centimeters.

Mr. Vara is designing post caps in the shape of a square pyramid for his fence. The caps are solid wood and have a volume of 94.5 cubic centimeters. To calculate the dimensions of the pyramid, we need to use the formula for the volume of a square pyramid, which is V = (1/3)bh, where b is the area of the base and h is the height of the pyramid.

Since the caps are square pyramids, the base is a square. Let's call the side length of the base s. Then the area of the base is s². We can rearrange the formula for volume to get h = (3V)/b. Plugging in the given volume of 94.5 cubic centimeters, we get:

h = (3 x 94.5) / s²
h = 283.5 / s²

We still need to find the side length s. We can use the fact that the volume of the pyramid is also equal to [tex](1/3)s^{2h[/tex]. Plugging in the volume and height from above, we get:

94.5 = (1/3)s²(283.5 / s²)
94.5 = 94.5

This equation simplifies to 1 = 1, which doesn't give us any information about s. However, we can make an assumption about the dimensions of the pyramid. Let's say that the height h is equal to the side length s. Then we can solve for s using the volume formula:

[tex]94.5 = (1/3)s^{2s[/tex]
94.5 = (1/3)s³
283.5 = s³
s = 6.04

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The expression that represents the length of rope that needs to be lowered is 30 - -20

From the question, we have the following parameters that can be used in our computation:

Using the above as a guide, we have the following:

Length of rope = helicopter - canyon

So, we have

Length of rope = 30 - -20

Evaluate

Length of rope = 50

Hence, the length of rope is 50 feet

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part a.

the percentage of eggs between 42 and 45mm is 48.48%

part b.

The median width is approximately (42+45)/2 = 43.5mm.

The median length is approximately (56+59)/2 = 57.5mm.

part c.

The width of grade A chicken eggs has a range of about 24mm.

part d.

I think its impossible to determine because we don't have the value for the standard deviation.

The second option should be correct.

A histogram is described as an approximate representation of the distribution of numerical data.

part a.

From the histogram, we see that the frequency for the bin that ranges from 42 to 45mm is 4 and we have  a total of 33 eggwe use this values and calculate the percentage of eggs between 42 and 45mm is 48.48%.

part b.

we have an  estimation  that the median of the width is 48mm and the median of the length is around 60mm.

part c.

Also from the histogram, we notice  that the smallest value is around 36mm and the largest value is around 66mm, hence the width of grade A chicken eggs has a range of about 24mm.

In a histogram, the range is the width that the bars cover along the x-axis and these are approximate values because histograms display bin values rather than raw data values.

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Answer:

4/5 or 0.8 Waffles per person

Step-by-step explanation:

Divide the 4 waffles among 5 people, 4/5

0.8 waffle.

To find the rate of change of the temperature difference between the two spacecraft, we need to first find the temperature at each spacecraft's position at time t=4.

For the first spacecraft, rt sin(t) = r4sin(4) and t=4, so its position is (4sin(4), 4, 0). Using the temperature function, we have T(4sin(4), 4, 0) = (4sin(4))(4)(5-2) = 48.08.

For the second spacecraft, rz cos(t) = r3cos(4) and t=-4/3, so its position is (3cos(4), -4/3, 7). Using the temperature function, we have T(3cos(4), -4/3, 7) = (3cos(4))(-4/3)(5-2) = -9.09.

Therefore, the temperature difference D between the two spacecraft at time t=4 is D = 48.08 - (-9.09) = 57.17.

To find the rate of change of D with respect to time, we use the Chain Rule. Let x = 4sin(t) and y = 4, so D = T(x, y, 0) - T(3cos(t), -4/3, 7). Then,

dD/dt = dD/dx * dx/dt + dD/dy * dy/dt

We already know that D = 48.08 - 9.09 = 57.17, so dD/dx = dT/dx = y(5-2x) = 4(5-2(4sin(4))) = -31.64.

We also have dx/dt = 4cos(4) and dy/dt = 0, since y is constant.

To find dD/dy, we take the partial derivative of T with respect to y, holding x and z constant: dT/dy = x(5-2y) = (4sin(4))(5-2(4)) = -28.16.

Putting it all together, we get:

dD/dt = dD/dx * dx/dt + dD/dy * dy/dt
= (-31.64)(4cos(4)) + (-28.16)(0)
= -126.56

Therefore, the rate of change of the temperature difference between the two spacecraft at time t=4 is -126.56.
Given the paths of the two spacecraft: r1(t) = (t sin(t), t, 0) and r2(t) = (t cos(t), -t, 7), and the temperature function T(x, y, z) = x * y * z^2, we want to determine the rate of change of the temperature difference D at time t=4 using the Chain Rule.

First, let's find the temperature for each spacecraft at time t:

T1(t) = T(r1(t)) = (t sin(t)) * t * 0^2
T1(t) = 0

T2(t) = T(r2(t)) = (t cos(t)) * (-t) * 7^2
T2(t) = -49t^2 cos(t)

Now, find the temperature difference D(t) = T2(t) - T1(t) = -49t^2 cos(t)

Next, find the derivative of D(t) with respect to t:

dD/dt = -98t cos(t) + 49t^2 sin(t)

Now, we need to evaluate dD/dt at t=4:

dD/dt(4) = -98(4) cos(4) + 49(4)^2 sin(4) ≈ -104.32

Thus, the rate of change of the temperature difference D at time t=4 is approximately -104.32 (in decimal notation, rounded to two decimal places).

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Answer:

∠ D = 38°

Step-by-step explanation:

given Δ ABC and Δ DEF are similar, then corresponding angles are congruent, so

∠ A and ∠ D are corresponding , so

∠ D = ∠ A = 38°

Step-by-step explanation:

$20-$3-$15= $2

the amount of money spent on the bouncy ball is $2

Answer:

I think you get 0.65 inches of pizza for 1 dollar

Step-by-step explanation:

$13 divided by 20 inches = 0.65

The z-score of the customer that just turned 25 years old is  -1.45. The z-score for an age of 75 years is approximately 2.17, which is greater than 2,  Since a z-score greater than 2 represents a considerable deviation.

(a)

To find the z-score for a customer that just turned 25 years old :

z-score = (x - mean) / standard deviation

Plugging in the values, we get:
z-score = (25 - 45) / 13.8 = -1.45, where x = 25 years, mean  = 45 years, and standard deviation = 13.8 years.
Rounding to the nearest hundredth, the z-score is -1.45.

(b)

To find an example of a customer age with a z-score greater than 2, we need to identify an age that deviates significantly from the mean given the standard deviation. Since a z-score greater than 2 represents a considerable deviation, let's consider an age of 75 years.

Using the same formula as before:

z = (x - μ) / σ

where:

   x is the customer's age (75 years),

   μ is the mean of the distribution (45 years),

   σ is the standard deviation of the distribution (13.8 years).

Calculating the z-score:

z = (75 - 45) / 13.8

z = 2.17

The z-score for an age of 75 years is approximately 2.17, which is greater than 2, fulfilling the requirement of the question.

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Answer:

0.16 gallons of paint

the number lies between 0 and 1

Step-by-step explanation:

Chairs and tables used the same amount of paint,

20x + 5x = 4

25x = 4

x = 0.16

So, each piece of furniture will use 0.16 gallons of paint.

Since Chris can only buy whole DVDs, he can purchase a maximum of 5 DVDs within his $100 budget.

Each DVD costs $15.99, and the shipping for the entire order is $9.99.

We can use the following inequality to represent Chris's budget constraint:

15.99x + 9.99 ≤ 100

Here, x represents the number of DVDs he can buy.

To find the maximum value of x, we can rearrange the inequality:

x ≤ (100 - 9.99) / 15.99 x ≤ 90.01 / 15.99 x ≤ 5.63

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The admission price that will yield maximum revenue is $6.

To determine the admission price that will yield maximum revenue, we'll first find the linear demand function using the given data points: ($7, 1000) and ($6, 1200).

Let x represent the admission price and y represent the number of customers per day. We can calculate the slope (m) using the formula:

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

Substituting the given data points:

m = (1200 - 1000) / (6 - 7) = 200 / (-1) = -200

Now, we have the slope and a point, so we can use the point-slope form to find the linear demand function:

y - y1 = m(x - x1)

Using the point ($7, 1000):

y - 1000 = -200(x - 7)

Now, let's rewrite the equation to the slope-intercept form (y = mx + b):

y = -200x + 2400

The revenue (R) is equal to the product of the admission price (x) and the number of customers (y):

R = xy

Substitute the linear demand function (y = -200x + 2400) into the revenue equation:

R = x(-200x + 2400)

To maximize the revenue, we need to find the vertex of the parabola represented by this equation. The x-coordinate of the vertex is given by:

x_vertex = -b / 2a

In this case, a = -200 and b = 2400:

x_vertex = -2400 / (2 * -200) = 6

The admission price that will yield maximum revenue is $6.

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Based on the given information, we need to determine whether the Mean Value Theorem can be applied to the dosed interval [100-V2, 14:21].

The Mean Value Theorem states that for a function that is continuous on a closed interval [a, b] and differentiable on the open interval (a, b), there exists at least one point c in (a, b) where the slope of the tangent line to the function at c is equal to the average rate of change of the function over the interval [a, b].

In this case, we do not have enough information about the function or its continuity on the interval [100-V2, 14:21]. Therefore, we cannot determine whether the Mean Value Theorem can be applied or not.

However, we do know that for the Mean Value Theorem to be applicable, the function must be continuous on the closed interval. If the function is not continuous on the closed interval, then the Mean Value Theorem cannot be applied.

Therefore, the answer to the question is B. No, because we do not have enough information about the function's continuity on the dosed interval [100-V2, 14:21].

I understand you're asking about the Mean Value Theorem and whether it can be applied to a given interval. Due to some typos in your question, I'm unable to identify the specific interval and function. However, I can provide general guidance.

The Mean Value Theorem can be applied to a function if:
A. The function is continuous on the closed interval [a, b]
B. The function is differentiable on the open interval (a, b)

If the given function meets these two conditions, then the Mean Value Theorem can be applied. Otherwise, it cannot be applied.

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As the number of trials gets larger, the experimental probability of an event approaches the theoretical probability of the event.

The Law of Large Numbers, a key idea in probability theory, holds that as trials or experiments are conducted, the experimental probability of an occurrence tends to converge toward the theoretical or predicted probability of that event.

In other words, the experimental results improve in accuracy and reliability as the sample size grows when forecasting the actual course of an event. This is because a bigger sample size reduces the significance of random changes or data errors and increases the likelihood that the experimental results will accurately reflect the true underlying probability of the event.

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a) The probability of selecting two even numbered balls before odd numbered balls is 1/6.

b) The probability of not selecting balls in size order is 22/24 or 11/12.


a) There are 4! (24) ways to arrange the four balls. There are 2! ways (2) to arrange the even balls and 2! ways (2) to arrange the odd balls, so there are 2x2=4 favorable ways (2,4,1,3 and 4,2,1,3). The probability is 4/24, which simplifies to 1/6.

b) There are only 2 ways to select balls in size order (1,2,3,4 and 4,3,2,1). Subtracting these from the total arrangements (24-2) results in 22 non-size ordered selections. The probability is 22/24, which simplifies to 11/12.

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To determine how many seconds longer Nicholas cleans his room than Gloria, we first need to convert both their cleaning times into seconds.

1. Convert Nicholas's cleaning time to seconds:
Nicholas cleans his room in 10 hours. There are 60 minutes in an hour and 60 seconds in a minute. So, we multiply 10 hours by 60 minutes and then by 60 seconds:
10 hours * 60 minutes/hour * 60 seconds/minute = 36,000 seconds

2. Convert Gloria's cleaning time to seconds:
Gloria cleans her room for 3 minutes and 18 seconds. We convert 3 minutes into seconds by multiplying it by 60 seconds/minute:
3 minutes * 60 seconds/minute = 180 seconds
Now, add the 18 seconds to the 180 seconds:
180 seconds + 18 seconds = 198 seconds

3. Subtract Gloria's cleaning time from Nicholas's cleaning time:
36,000 seconds (Nicholas) - 198 seconds (Gloria) = 35,802 seconds

In conclusion, Nicholas cleans his room for 35,802 seconds longer than Gloria.

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Answer:

A is -4.5,2 and B is 0,-3.5

Step-by-step explanation:

Answer:

Coordinates of A: (-4.5, 2), Coordinates of B: (0, -3.5)

We want to use properties to write expressions for the length of the other sides of the square.

Remember that the length of all the sides in a square is the same, so we only need to rewrite the above expression in two different ways.

First, we can use the distribute property in the first term:

[tex]\sf 6\times(3x + 8) + 32 + 12\times x[/tex]

[tex]\sf = 6\times3x + 6\times8 + 32 +12\times x[/tex]

[tex]= \sf 18\times x + 48 + 32 + 12\times x[/tex]

So this can be the length of one of the sides.

Now we can keep simplifying the above equation:

[tex]= \sf 18\times x + 48 + 32 + 12\times x[/tex]

To do it, we can use the distributive and associative property in the next way:

[tex]\sf 18\times x + 48 + 32 + 12\times x[/tex]

[tex]= \sf 18\times x + 12\times x + 48 + 32[/tex]

[tex]= \sf (18\times x + 12\times x) + (48 + 32)[/tex]

[tex]= \sf (18 + 12)\times x + 80[/tex]

[tex]= \sf 30\times x + 80[/tex]

This can be the expression to the other side.

If there is a one-to-one correspondence between two sets, we say that the sets have the same "size" or the same "cardinality."

Cardinality is a term used in mathematics and set theory to describe the size or number of elements in a set. It refers to the property of a set that determines how many objects it contains. For example, the cardinality of the set {1, 2, 3} is 3, because it contains three elements. The cardinality of a set can be finite (if it has a specific number of elements) or infinite (if it contains an uncountable number of elements).

Cardinality is usually denoted using the vertical bar notation |A|, where A is the set in question. For example, if A = {a, b, c}, then |A| = 3.

Cardinality is an important concept in mathematics, especially in areas such as set theory, combinatorics, and number theory. It is used to compare the sizes of different sets and to determine the properties of operations that involve sets, such as union, intersection, and complement.

If there is a one-to-one correspondence between two sets, we say that the sets have the same "size" or the same "cardinality."

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The null hypothesis (H0) is that the scheduled break between classes of 30 minutes is appropriate and does not need to be changed. The alternative hypothesis (Ha) is that the scheduled break between classes of 30 minutes is not appropriate and needs to be changed.

In hypothesis testing, the null hypothesis (H0) is a statement that assumes there is no significant difference between two population parameters or that there is no relationship between two variables. It is the default assumption that is initially assumed to be true and is tested against the alternative hypothesis.

The alternative hypothesis (Ha) is a statement that contradicts the null hypothesis and suggests that there is a significant difference between two population parameters or that there is a relationship between two variables. It is the hypothesis that we want to prove, and it is supported if the null hypothesis is rejected.

In the case of the registrar's study, the null hypothesis could be "There is no significant difference in lateness between classes with a 30-minute break and classes with a break of a different length,"

While the alternative hypothesis could be "There is a significant difference in lateness between classes with a 30-minute break and classes with a break of a different length."

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Following an exponential distribution with a mean of 15 seconds, the 60th percentile for the amount of time between customers entering Clay's store is approximately 13.74 seconds.

Based on the information provided, Clay's grocery store experiences customer arrivals following an exponential distribution with a mean of 15 seconds. To find the 60th percentile for the amount of time between customers entering the store, we can use the following formula:

Percentile = Mean * ln(1 / (1 - Percentile in Decimal Form))

In this case, the 60th percentile in decimal form is 0.6. Plugging the values into the formula, we get:

60th Percentile = 15 * ln(1 / (1 - 0.6))

60th Percentile ≈ 15 * ln(1 / 0.4)

60th Percentile ≈ 15 * ln(2.5)

60th Percentile ≈ 15 * 0.9163

60th Percentile ≈ 13.74 seconds

Thus, the 60th percentile for the amount of time between customers entering Clay's store is approximately 13.74 seconds.

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The probability that the user identification will contain both an E and an 8 is 1/20, or 5%.

To determine the probability of a user identification containing both an E and an 8, we will break down the problem step-by-step.
1. Identify the total number of possibilities:
There are 5 vowels (A, E, I, O, U) and 4 even numbers (2, 4, 6, 8). To calculate the total number of possible user identifications, multiply the number of vowels by the number of even numbers:
Total possibilities = 5 vowels × 4 even numbers = 20 combinations
2. Determine the desired outcome:
In this case, we are interested in the combination that has an E followed by an 8. There is only one such combination: E8.
3. Calculate the probability:
To find the probability of the desired outcome, divide the number of desired outcomes by the total number of possible outcomes:
Probability = Desired outcomes / Total possibilities
Probability = 1 / 20
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The observed relationship can be described as a negative correlation.

The basketball coach observes a decrease in points scored by his team over the first ten weeks of the season.

This indicates a negative correlation between time (progressing through the season) and points scored. Without seeing the data, we cannot determine if the coach's observation is correct or incorrect. However, the observed relationship can be described as a negative correlation.

However, it is important to note that without actually seeing the data and analyzing it, we cannot conclusively determine if the coach's observation is correct or incorrect.

The observed relationship, as described by the coach, suggests a negative correlation, but the strength and significance of this correlation would need to be evaluated through statistical analysis of the data.

In addition, it is also possible that other factors may be influencing the decrease in points scored, such as changes in team strategy, player injuries, or tougher opponents.

Without considering these other factors and analyzing the data, it would be premature to draw definitive conclusions about the relationship between time and points scored.

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Answer:

make me brainalist

Step-by-step explanation:

34.16

[tex] \frac{3416}{100} [/tex]

There were 28 members in the Northview Swim Club on Monday before any new members joined or any current members left.

The equation "m+22-17=33" represents the situation where "m" is the number of members in the Northview Swim Club on Monday.

To solve the equation, we can start by simplifying it:

m + 5 = 33

Next, we can isolate "m" on one side of the equation by subtracting 5 from both sides:

m = 33 - 5

m = 28

Thus, the solution of the equation for the Northview Swim Club on Monday before any new members joined is determined as 28 members.

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The average rate of change for the number of shares from 2 minutes to 4 minutes is 25 shares per minute.

To find the average rate of change for the number of shares from 2 minutes to 4 minutes, we need to know the initial number of shares at 2 minutes and the final number of shares at 4 minutes. Once we have those values, we can use the formula:

average rate of change = (final value - initial value) / (time elapsed)

Let's say the initial number of shares at 2 minutes was 100 and the final number of shares at 4 minutes was 150. The time elapsed between 2 minutes and 4 minutes is 2 minutes. Plugging these values into the formula, we get:

average rate of change = (150 - 100) / 2
average rate of change = 50 / 2
average rate of change = 25

Therefore, the average rate of change is 25 shares per minute.

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The total differential of w is given by dw = (∂w/∂x)dx + (∂w/∂y)dy + (∂w/∂z)dz + (∂w/∂z)(∂z/∂y)dy + (∂w/∂z)(∂z/∂z)dz.

Differentiation is a process of finding the changes in any function with a small change in By differentiation, it can be checked that how much a function changes and it also shows the way of change Differentiation is being used cost, production and other management decisions. It gives the rate of change independent variable with respect to the independent variable.                                                                                                             First, let's get the partial derivatives of w with respect to x, y, and z: ∂w/∂x = 15x^14yz^11, ∂w/∂y = x^15z^11cos(yz), ∂w/∂z = 11x^15y^z^10 + x^15y^11cos(yz). Next, we need to find (∂w/∂z)(∂z/∂y): ∂z/∂y = cos(y)
So, (∂w/∂z)(∂z/∂y) = x^15y^11z^10cos(y). Substituting these values into the formula for the total differential, we get: dw = (15x^14yz^11)dx + (x^15z^11cos(yz))dy + (11x^15y^z^10 + x^15y^11cos(yz))dz + (x^15y^11z^10cos(y))dy
Simplifying, we get: dw = 15x^14yz^11dx + x^15z^11cos(yz)dy + (11x^15y^z^10 + x^15y^11cos(yz) + x^15y^11z^10cos(y))dz.

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