From a hot-air balloon, Enola measures a 22° angle of depression to a landmark that's 310 feet away, measuring horizontally. What's the balloon's vertical distance above the ground? Round to the nearest hundredth if necessary.​

The path acronym stands for Physical Sensations, Actions, Thoughts, and Heart Rate. Among these components, Heart Rate is not typically included as part of the acronym when expressing emotions. The answer that is not part of the PATH acronym used for expressing emotions is Heart Rate.

The PATH acronym is a helpful tool for understanding and expressing emotions. It includes Physical Sensations, which refers to the bodily sensations experienced during an emotion; Actions, which encompasses the behaviors and actions associated with the emotion; Thoughts, which involve the cognitive aspects and thought patterns related to the emotion. However, Heart Rate is not typically included in the acronym as it specifically refers to the measurement of the heart's beats per minute, which is not directly considered as a component of expressing emotions.

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Complete Question:

Which answer is not part of the PATH acronym used for expressing emotions?

Actions,

Thoughts

Heart Rate.

The measures are given as follows:

The area of a rectangle is given by the multiplication of the base by the height, as follows:

A = bh.

The dimensions are given as follows:

b = 5 in, h = 2 in.

Hence the area is given as follows:

A = 5 x 2 = 10 in².

The area of a triangle is given by half the multiplication of the base by the height, as follows:

A = 0.5bh.

The dimensions are given as follows:

b = 1 in, h = 1 in.

Hence the area is given as follows:

A = 0.5 x 1 x 1 = 0.5 in².

Hence the area of plastic is given as follows:

10 - 0.5 = 9.5 in².

The diagram is given by the image presented at the end of the answer.

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C. If there is no variability (all the scores of the variables have the same value), measures of dispersion will equal zero.

Measures of dispersion are used to describe the spread of data. They include the range, variance, and standard deviation. When all the scores of a variable have the same value, there is no spread or variability in the data. This means that the distance between the minimum and maximum value (range) is zero, and the variance and standard deviation are also zero.

In this case, there is no need to calculate measures of dispersion because they will all equal zero. This is because the data points do not differ from each other in any way, and there is no variation to describe. Therefore, when there is no variability in a set of data, measures of dispersion will always equal zero.

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(a) No, Sarah would not be able to consume 3 snacks and movies because she has a limited weekly income of $50, and she spends it all on snacks and movies. If she were to consume 3 snacks and movies, the total cost would be $45 ($15 for 3 snacks and $30 for 3 movie tickets), which would exceed her weekly income of $50.

(b) To maximize utility, Sarah should allocate her income between snacks and movies in such a way that the marginal utility per dollar spent on each good is equal. We can calculate the marginal utility per dollar for each good by dividing the marginal utility of the good by its price.

For snacks, the marginal utility per dollar is:

MU_snacks / P_snacks = 10 / 5 = 2

For movies, the marginal utility per dollar is:

MU_movies / P_movies = 15 / 10 = 1.5

Since the marginal utility per dollar spent on snacks is greater than the marginal utility per dollar spent on movies, Sarah should consume more snacks and fewer movies to maximize her utility.

To find the optimal combination of snacks and movies, we can use the budget constraint:

P_snacks * Q_snacks + P_movies * Q_movies = Income

Substituting the given values, we get:

5Q_snacks + 10Q_movies = 50

We can rearrange this equation to get:

Q_movies = (50 - 5Q_snacks) / 10

Now, we can maximize utility by setting the marginal utility per dollar spent on snacks equal to the marginal utility per dollar spent on movies:

MU_snacks / P_snacks = MU_movies / P_movies

10 / 5 = MU_movies / 10

MU_movies = 15

From the table, we can see that Sarah gets a marginal utility of 15 from the first movie and a marginal utility of 5 from the second movie. Therefore, Sarah should consume one movie and 7 snacks to maximize her utility.

(c) The total utility Sarah will receive from consuming one movie and 7 snacks is:

MU_snacks * Q_snacks + MU_movies * Q_movies

= 10 * 7 + 15 * 1

= 105

Therefore, Sarah will receive a total utility of 105 utils.

(d) If Sarah's income increases to $60, her budget constraint will shift outward. The marginal utility per dollar spent on movies will decrease because the price of movies has stayed the same while her income has increased. Sarah will be able to buy more movies without giving up any snacks, so her consumption of movies will increase, while her consumption of snacks will stay the same.

(e) To determine whether Sarah would be better off buying two more snacks or one more movie ticket, we need to compare the marginal utility per dollar spent on each good.

For two more snacks: MU(2 snacks) / (2 x P(snacks)) = [(20 + 15) / (2 x 5)] = 3 utils per dollar spent

For one more movie: MU(movie) / P(movie) = (20 / 10) = 2 utils per dollar spent

Since the marginal utility per dollar spent on two more snacks is higher than that of one more movie ticket, Sarah will be better off buying two more snacks.

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The probability of the states of nature, after use of Bayes' theorem to adjust the prior probabilities based on given indicator information, is called b. posterior probability

Bayes' theorem is a formula used to calculate the conditional probability of an event or hypothesis based on prior knowledge or information. It allows us to update our prior beliefs or probabilities based on new evidence or information.

The probability of the states of nature, after using Bayes' theorem to adjust the prior probabilities based on given indicator information, is called the posterior probability. It represents the revised probability of each state of nature, given the observed indicator or evidence.

To calculate the posterior probability, we multiply the prior probability by the likelihood of the evidence given the state of nature, and then divide by the marginal probability of the evidence. The resulting probability represents the updated probability of the state of nature, given the observed evidence or indicator.

Therefore,

The probability of the states of nature, after use of Bayes' theorem to adjust the prior probabilities based on given indicator information, is called b. posterior probability

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The area of triangle ABC is 27 square units.

To determine the area of triangle ABC, we can use the formula for the area of a triangle given its coordinates:

Area = 1/2 × x₁(y₂ - y₃) + x₂(y₃ - y₁) + x₃(y₁ - y₂)|

Given the coordinates of points A(-2, 5), B(4, 2), and C(-8, -1), we can substitute these values into the formula:

Area = 1/2 × (-2)(2-(-1)) + (4-(-2))( -1-5) + (-8)(5-2)

Simplifying the expression, we have:

Area = 1/2 × (1-6-24-24)

Area = 1/2 × (-53)

Area = -26.5

Since area cannot be negative, we take the absolute value to obtain the area of triangle ABC as 26.5 square units. Therefore, the area of triangle ABC is 26.5 square units.

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The null hypothesis for testing a correlation coefficient is h0: rhoxy = 0, indicating no correlation between the variables.

The null hypothesis (h0) in hypothesis testing represents the assumption of no relationship or correlation between the variables under investigation. In the case of testing a correlation coefficient (rhoxy), the appropriate null hypothesis would be h0: rhoxy = 0.

This null hypothesis suggests that there is no linear relationship between the variables. In other words, the correlation coefficient is expected to be zero, indicating no correlation or dependence between the variables being studied.

When conducting hypothesis testing, the alternative hypothesis (h1) typically represents the alternative scenario where a relationship or correlation is expected. In this context, the alternative hypothesis for testing a correlation coefficient would be h1: rhoxy ≠ 0 or h1: rhoxy > 0, depending on the specific research question and the direction of the expected relationship.

In summary, the null hypothesis for testing a correlation coefficient is h0: rhoxy = 0, indicating no correlation between the variables, while the alternative hypothesis can vary depending on the expected relationship.


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The probability that exactly one out of six randomly chosen female cats weighs more than 4.5 kg is approximately 0.3487, or 34.87%.

a) To find the proportion of female cats with weights between 3.7 and 4.4 kg, we need to calculate the z-scores for these weights and then find the corresponding probabilities using the standard normal distribution.

For a weight of 3.7 kg:

z = (3.7 - 4.1) / 0.6 ≈ -0.67

For a weight of 4.4 kg:

z = (4.4 - 4.1) / 0.6 ≈ 0.50

Using a standard normal table or a calculator, we can find the probabilities associated with these z-scores. The probability of a z-score less than -0.67 is approximately 0.2514, and the probability of a z-score less than 0.50 is approximately 0.6915.

Therefore, the proportion of female cats with weights between 3.7 and 4.4 kg is approximately 0.6915 - 0.2514 = 0.4401, or 44.01%.

b) To find the proportion of female cats that are heavier than a certain cat with a weight 0.5 standard deviations above the mean, we can find the probability associated with the z-score of that weight.

z = (4.1 + 0.5 * 0.6 - 4.1) / 0.6 ≈ 0.50

Using the standard normal distribution, the probability of a z-score greater than 0.50 is approximately 0.3085.

Therefore, the proportion of female cats that are heavier than the cat in question is approximately 0.3085, or 30.85%.

c) The 80th percentile corresponds to a z-score that has an area of 0.80 to its left under the standard normal distribution. Using a standard normal table or calculator, we find that the z-score associated with the 80th percentile is approximately 0.84.

To find the weight corresponding to this z-score:

z = (weight - 4.1) / 0.6 ≈ 0.84

Solving for the weight, we have:

weight ≈ 0.84 * 0.6 + 4.1 ≈ 4.604 kg

Therefore, a female cat whose weight is at the 80th percentile weighs approximately 4.604 kg.

d) To find the probability that a randomly chosen female cat weighs more than 4.5 kg, we need to calculate the z-score for a weight of 4.5 kg and find the probability associated with that z-score being greater than zero.

z = (4.5 - 4.1) / 0.6 ≈ 0.67

Using the standard normal distribution, the probability of a z-score greater than 0.67 is approximately 0.2514.

Therefore, the probability that a randomly chosen female cat weighs more than 4.5 kg is approximately 0.2514, or 25.14%.

e) The probability that exactly one out of six randomly chosen female cats weighs more than 4.5 kg can be calculated using the binomial distribution.

Let p be the probability of a cat weighing more than 4.5 kg, which we found to be 0.2514. The probability of one cat weighing more than 4.5 kg and the other five weighing less can be calculated as:

P(X = 1) = (6 choose 1) * p^1 * (1-p)^5

Using this formula, we can substitute the values and calculate the probability. The result is approximately 0.3487, or 34.87%.

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The Histogram is explained in the solution below.

To create a histogram of the given data, we need to determine the frequency of each value and represent it graphically.

Here's a histogram for the provided data:

Number of Customers   Frequency

0 - 5                                        **

5 - 10                                       ***

10 - 15                                     ****

15 - 20                                    *****

20 - 25                                      **

In this histogram, the x-axis represents the ranges of the number of customers (e.g., 0-5, 5-10, etc.), and the y-axis represents the frequency of occurrence for each range.

The asterisks (*) indicate the frequency of customers falling within each range.

To generate the histogram, you count the occurrences of each value within the given ranges.

For example, there are 2 occurrences () of values between 0-5, 3 occurrences (*) between 5-10, and so on.

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Answer:

it is calculating the average of their score

To determine the linear regression equation and the correlation coefficient, we need the data provided in the table. Unfortunately, the table you mentioned is missing from your question. Without the data, it is not possible to calculate the linear regression equation or the correlation coefficient.

In a scenario where an insurance agent is examining the relationship between a driver's age and the percentage of accidents caused by speeding, the linear regression equation would allow us to predict the percentage of accidents caused by speeding based on the driver's age. The correlation coefficient would indicate the strength and direction of the relationship between these two variables. A correlation coefficient of 1 would indicate a perfect positive relationship, -1 would indicate a perfect negative relationship, and 0 would indicate no linear relationship.

If you can provide the data from the table, I'll be able to assist you further in determining the linear regression equation and the correlation coefficient.

Given that sin(x) = -5/13 and the condition is to provide the answer without using sin, cos, or tan, I assume you are looking for the value of cos(x).

We can use the Pythagorean identity: sin²(x) + cos²(x) = 1

Substitute the given value of sin(x):
(-5/13)² + cos²(x) = 1

Solve for cos²(x):
cos²(x) = 1 - (-5/13)²

cos²(x) = 1 - (25/169)

Now find the common denominator (169) and subtract:
cos²(x) = (169/169) - (25/169)

cos²(x) = 144/169

Since we need the value of cos(x), we take the square root of both sides:
cos(x) = ±√(144/169)

cos(x) = ±12/13

Since the value of sin(x) is negative, we are in the third or fourth quadrant, where the cosine is also negative. Therefore, we choose the negative value for cos(x):

cos(x) = -12/13

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When the interval [3, 11] is divided into 16 subintervals of equal length, each of the subintervals has length (a) 2. (b)4. (b) 4. () c. 1/2

When the interval [3, 11] is divided into 16 subintervals of equal length, we can use the formula:
length of each subinterval = (length of the interval) / (number of subintervals)
Therefore, the length of each subinterval would be:
(11 - 3) / 16 = 8 / 16 = 1/2
So the answer is (c) 1/2.
This means that each of the 16 subintervals would have a length of 1/2. It's important to note that the number of subintervals does not affect the length of the interval itself, only the length of each subinterval.
It's also worth mentioning that if we had divided the interval [3, 11] into a different number of subintervals of equal length, the length of each subinterval would have been different. This formula is specific to dividing an interval into a certain number of subintervals.

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It is difficult to accurately predict the number of days a favorite radio or TV station will correctly forecast whether it will be cloudy over the next 30 days.

Forecasting weather accurately is a challenging task, and even the most advanced weather models are subject to errors. The accuracy of a station's forecasts depends on various factors such as the quality of their data sources, the skill and experience of their forecasters, and the complexity of the weather patterns in the region. Therefore, it is not possible to determine the exact number of days a station will make correct forecasts about whether it will be cloudy or not. However, it is important to note that modern weather forecasting has come a long way in recent years, and many stations now provide fairly accurate predictions. It is always a good idea to consult multiple sources and use personal judgment when making plans based on weather forecasts.

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When comparing the number of rings in a generator, it is observed that the current produced is directly proportional to the number of loops. In other words, as the number of rings increases, the current produced also increases.

This is because increasing the number of loops in the generator results in a stronger magnetic field, which induces a higher voltage and subsequently a larger current. However, it is important to note that there is a limit to this relationship, as adding too many rings may lead to diminishing returns and a plateau in current production. Therefore, the number of rings must be optimized to strike a balance between efficiency and practicality.
When comparing two rings to four rings in a coil, the relationship between the number of loops and the current produced can be described as follows:

As the number of loops (rings) in the coil increases, the amount of current produced also increases. This is because the magnetic field created by the loops adds up constructively, leading to a stronger overall magnetic field. Consequently, a coil with four rings will produce twice the current as a coil with two rings, assuming other factors remain constant.

So, the relationship between the number of loops (rings) and the current produced is directly proportional - as the number of loops increases, so does the current produced.

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The tourist had $1200.91 in US dollars when he left the country.

The American tourist exchanged 80% of $8175 to local currency, which is:

0.8 x $8175 = $6540

To calculate how much local currency the tourist received for $6540, we can use the buying rate of Kshs.83.25 per US dollar:

Amount in local currency = $6540 x Kshs.83.25 per US dollar = Kshs.544335

After spending Kshs.443,595, the tourist had Kshs.544,335 - Kshs.443,595 = Kshs.100,740 left.

To calculate how much US dollars the tourist can buy with Kshs.100,740, we can use the selling rate of Kshs.84.05 per US dollar:

Amount in US dollars = Kshs.100,740 / Kshs.84.05 per US dollar = $1200.91

Therefore, the tourist had $1200.91 in US dollars when he left the country.

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The solutions to the original equation on the interval [0,2) are:

0.2071, 1.4112

what is trigonometry

Trigonometry is a branch of mathematics that deals with the relationships between the sides and angles of triangles.

We can use the trigonometric identity:

cos(a)cos(b)sin(a)sin(b) = (1/4)sin(2a)sin(2b)

Applying this identity, we have:

cos(6x)cos(5x)sin(6x)sin(5x) = (1/4)sin(12x)sin(10x)

So, our equation becomes:

(1/4)sin(12x)sin(10x) = 1

Multiplying both sides by 4, we get:

sin(12x)sin(10x) = 4

Now, let's consider the function f(x) = sin(12x)sin(10x) - 4. We want to find the zeros of this function on the interval [0,2).

Using a graphing calculator or some analysis, we can see that the function has two zeros on this interval, one between x=0 and x=1, and another between x=1 and x=2.

Using numerical methods such as the bisection method or Newton's method, we can approximate the zeros to four decimal places:

The first zero is approximately 0.2071.

The second zero is approximately 1.4112.

Therefore, the solutions to the original equation on the interval [0,2) are:

0.2071, 1.4112.

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The general indefinite integral of ([tex]5x^4 + 8x + 7[/tex]) dx can be found by using the power rule of integration.

According to the power rule, we add one to the exponent and divide the entire term by the new exponent. Therefore, integrating [tex]5x^4[/tex] yields [tex](5/5)x^5[/tex] or [tex]x^5[/tex], integrating 8x yields (8/2)x² or 4x², and integrating 7 yields 7x. Hence, the general indefinite integral of [tex](5x^4 + 8x + 7)[/tex] dx is [tex]x^5 + 4x^2 + 7x + C[/tex], where C is the constant of integration. It is important to note that the constant of integration is added to the end of the integrated function because it is not possible to determine the exact value of the constant. Therefore, it is represented by the letter C. When solving problems that require the evaluation of a definite integral, the constant of integration is eliminated as the limits of integration determine the value of C.

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To find two solutions for Ax = 0, we first need to understand the relationship between the given solutions, x1 and x2, for Ax = b. Since Ax = b has two solutions, the matrix A must not be invertible.

Step 1: Find the vector d that connects x1 and x2.
d = x2 - x1

Step 2: Add d to both x1 and x2 to create new solutions for Ax = b.
x3 = x1 + d
x4 = x2 + d

Step 3: Observe that the difference between x3 and x4 is also d.
x4 - x3 = d

Step 4: Scale d by a scalar factor k to find two solutions to Ax = 0.
y1 = k * d
y2 = -k * d

Now we have found two solutions (y1, y2) for Ax = 0, and a new solution (x3) for Ax = b using the given solutions x1 and x2.

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The probability that calls to exactly two randomly selected households will both go unanswered is 0.1849

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

Probabiity of answering, p = 57%

This means that the probability that no one answers the call is

q = 1 - 57%

Evaluate

q = 43%

So, the probability that both calls will go unanswered is

P = q²

This gives

P = (43%)²

Evaluate

P = 0.1849

Hence, the probability is 0.1849

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Answer: x = -1

Step-by-step explanation:

    To solve this equation, we will isolate the variable x.

Given:

    5x - (-3x - 10) =2

Distribute the -1:

    5x + 3x + 10 =2

Combine like terms with addition:

    8x + 10 = 2

Subtract 10 from both sides of the equation:

    8x = -8

Divide both sides of the equation by 8:

    x = -1

Maya can expect to pay $252 to replace the glass window in her restaurant. This can be found by calculating the area of the window and multiplying it by the price per Square foot of the glass

The cost of replacing the glass window, we first need to determine the area of the window. Since the window is in the shape of a square and its side lengths are 6 feet, we can calculate the area as:

Area = side length x side length

Area = 6 feet x 6 feet

Area = 36 square feet

Next, we can calculate the cost of the glass needed to replace the window. We are given that the cost of the glass is $7 per square foot, so we can use the formula:

Cost = price per square foot x area

Substituting the values we have, we get:

Cost = $7/square foot x 36 square feet

Cost = $252

Therefore, the cost of the glass needed to replace the window is $252.

Maya can expect to pay $252 to replace the glass window in her restaurant. This can be found by calculating the area of the window and multiplying it by the price per square foot of the glass.

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Answer:

How many modes does the set {2, 8, 4, 10, 7, 3, 1} have?

Step-by-step explanation:

What is a mode?

You're welcome.

Answer:

No modes

Step-by-step explanation:

A mode is the most repeated number in the set. in this case, none of the numbers are repeated. If each number is used once, there is no repetition, so there is no mode.

Answer:

Step-by-step explanation:

p(x) = (2x - 3)^2 - 25
 a)     = (2x - 3)^2 - 5^2

          = (2x - 3 + 5) (2x - 3 - 5)
 b)         = (2x + 2) (2x - 8)

 c) (2x + 2) (2x - 8) = 0               |             (2x + 2) (2x - 8) = -16
      4x^2 - 12x - 16 = 0                |             4x^2 - 12x - 16 = -16
      x^2 - 3x - 4 = 0                      |             x^2 - 3x = 0
       x^2 + x - 4x - 4 = 0               |              x(x - 3) = 0
       x(x + 1) - 4(x + 1) = 0             |              x = 0 or x = 3
       (x - 4) (x + 1) = 0

        x = 4 or x = - 1
d)   p(5) = (2(5) + 2) (2(5) - 8) | p(2root3) = (2(2root3) + 2)(2(2root3) - 8)
             = 12 x 2                       | = (4root3 + 2)(4root3 - 8)

             = 24                             | = 48 - 16 - 24root3
                                                  | = 32 - 24root3

Answer:

Step-by-step explanation:

A

Generally when you're solving systems of equations like this you want one variable to be by itself and have no coefficient (it's not being multiplied by anything)

In question A, the x variable is by itself but it has a coefficient of 4 (not 1)

In ΔRST, the measure of angle R is  73.1°

Let us assume that r represents the opposite side of ∠R, and 't' represents the opposite side of ∠T

i.e., r = side ST and t = side RS

We know that the law of sine for triangle states that the ratio of the side length of a triangle to the sine of the opposite angle, which is the same for all three sides.

i.e., for triangle ABC,

sinA/a = sinB/b = sinC/c

Using sine law for ΔRST,

sinR/r = sinS/s = sinT/t

Consider equation,

79 × 0.8481 = sin(R) × 70

sin(R) = 66.99 / 70

sin(R) = 0.9571

∠R = arcsin(0.9571)

∠R = 73.1°

Thus, measure of angle R = 73.1°

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complete question:

In ΔRST, r = 79 inches, t = 70 inches and ∠T=58°. Find all possible values of ∠R, to the nearest 10th of a degree

Answer:

y ≈ 11.04 ft

Step-by-step explanation:

We know that the formula for volume of a cylinder is

[tex]V=\pi r^2h[/tex] where

Thus, we must solve for the height, y by plugging in 3000 for V, and 9.3 for r into the volume formula:

[tex]3000=\pi (9.3)^2y\\3000=86.49\pi y\\3000/(86.49\pi )=y\\11.04092564=y\\11.04=y[/tex]

There are different values of t_crit (critical value of t) when samples have different sample sizes because the critical value depends on both the level of significance (alpha) and the degrees of freedom (df), and the df is calculated differently for different sample sizes.

When calculating the t_crit value, the level of significance (alpha) is fixed, but the degrees of freedom (df) depend on the sample size. The df represents the number of independent observations in the sample, and it affects the t-distribution curve. As the sample size increases, the df also increases, and the t-distribution curve approaches the standard normal distribution curve. Therefore, for smaller sample sizes, the t_crit value will be larger than for larger sample sizes, since the t-distribution curve is wider and has more variability. This is why different sample sizes require different t_crit values.

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if f(x, y, z) = 4[tex]x[/tex][tex]y^{2}[/tex][tex]z^{3}[/tex] arcsin (xz) , the value of fₓzᵧ is "24xyz²√(1-x²z²)".

To find fₓzᵧ, we differentiate f(x,y,z) partially with respect to x, then z, and finally y.

First, we take the partial derivative of f with respect to x:

fₓ = 4y²z³(arcsin(xz)) + 4xy²z³(1-x²z²)⁻ᵐ

where m = 1/2 * (1 - x²z²)⁻ⁿ, n = -1/2

Next, we take the partial derivative of fₓ with respect to z:

fₓz = 12xyz²(arcsin(xz)) + 4y²z²(1-x²z²)⁻ᵐ + 8xy²z²x(1-x²z²)⁻ⁿ

Finally, we take the partial derivative of fₓz with respect to y:

fₓzᵧ = 24xyz²√(1-x²z²)

Therefore, fₓzᵧ = 24xyz²√(1-x²z²) is the solution, where x, y, and z are the values of the given function f.

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