please help with both! urgenttt

Euler's method is useful when analytical solutions are impossible to obtain, quick estimate is required, we need to understand general behavior of system and numerical method.

Euler's method is a numerical approach to approximating the particular solution of a differential equation that passes through a particular point. This method is useful when:

1. Analytical solutions are difficult or impossible to obtain for the given differential equation.
2. A quick estimate of the solution is needed with a reasonable degree of accuracy.
3. You want to understand the general behavior of the system modeled by the differential equation.
4. You need a numerical method that is easy to implement and understand.

In such cases, Euler's method provides an efficient and straightforward way to approximate the solution to the differential equation.

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The most important statistic that is obtained through nasometry is the mean nasalance score. Nasometry is a measure of nasalance, which refers to the amount of sound energy that is transmitted through the nose during speech production.

This measure is obtained by comparing the acoustic energy of the sound produced by the mouth and the sound produced by the nose. The mean nasalance score provides information about the average amount of nasality in a person's speech, which can be useful in diagnosing and treating speech disorders such as cleft palate or velopharyngeal insufficiency. The other terms mentioned, such as fundamental frequency and range, are not directly related to nasometry or nasalance.

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(a) To calculate the estimated standard error of the mean of the difference scores, we need to first find the mean of the difference scores and the sample standard deviation of the difference scores.

The difference scores are obtained by subtracting the baseline appetite for fatty foods (x) from the appetite for fatty foods in the mildly stressful environment (y). So, the difference scores are:

-3, 10, 8, -3, 7, 11, -3, 6, 4, 4, 3, 4

The mean of the difference scores is:

(−3+10+8−3+7+11−3+6+4+4+3+4)/12 = 4.0/12 = 0.33

The sample standard deviation of the difference scores is:

s = √[Σ(y-x-0.33)²/(n-1)] = √[Σ(y-x-0.33)²/11] = √[232.67/11] = 4.06

Therefore, the estimated standard error of the mean of the difference scores is:

SE = s/√n = 4.06/√12 = 1.17

(b) To calculate t-obtained, we need to use the formula:

t = (M - μ) / (SE)

where M is the mean of the difference scores, μ is the hypothesized population mean (which is 0, since we are testing for a significant difference), and SE is the estimated standard error of the mean of the difference scores.

So, t-obtained is:

t = (0.33 - 0) / 1.17 = 0.28

The absolute value of t-obtained is:

|t-obtained| = |0.28| = 0.28

Therefore, the absolute value of t-obtained is 0.28.

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The exact values of the trigonometric functions are listed below:

Case 9: sec θ = 5√2 / 7

Case 11: tan θ = 1 / 3

In this problem we must find the exact values of trigonometric functions, this can be done by means of definitions of trigonometric functions:

sin θ = y / √(x² + y²)

cos θ = x / √(x² + y²)

tan θ = y / x

cot θ = 1 / tan θ

sec θ = 1 / cos θ

csc θ = 1 / sin θ

Where:

Case 9

cos θ = √2 / 10

√(x² + y²) = 10

√(2 + y²) = 10

2 + y² = 100

y² = 98

y = 7√2

sin θ = 7√2 / 10

sec θ = 10 / 7√2

sec θ = 10√2 / 14

sec θ = 5√2 / 7

Case 11

csc θ = √10

sin θ = 1 / csc θ

sin θ = 1 / √10

sin θ = √10 / 10

y = √10

√(x² + y²) = 10

√(x² + 10) = 10

x² + 10 = 100

x² = 90

x = 3√10

tan θ = √10 / 3√10

tan θ = 1 / 3

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Answer:

Step-by-step explanation:

find area of each face so...

8x3=24

24x4=96

5x3=15

15x2=30

30+96= 126  so 126 is the answer

The number of problems, Paige assigned as homework was 60.

We are given that Paige takes a break while working on her math homework to help herself stay focused.

Since solves 20 problems and takes a break then she solves 12 problems and takes a break. and finishes the last 20% of her math problems.

Let the value of which a thing is expressed in percentage is "a' and the percent that considered thing is of "a" is b%

Since percent shows per 100, thus we will first divide the whole part in 100 parts and then multiply it with b so that we collect b items per 100 items.

we have to find what 20% of a number is 12

20% of x =  12

x = 12/20%

x = 12/2 x 10

x = 60

The answer is 60

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To create a frequency table list out all unique values in the data set: 2, 3, 4, 5, 6

To create a frequency table:
1. List out all unique values in the data set: 2, 3, 4, 5, 6
2. Count the number of times each value appears in the data set and record it in the frequency column:
- 2 appears 2 times
- 3 appears 3 times
- 4 appears 3 times
- 5 appears 1 time
- 6 appears 1 time
3. Label the columns "Value" and "Frequency"

Value | Frequency
---|---
2 | 2
3 | 3
4 | 3
5 | 1
6 | 1

To create a frequency polygon:

1. Plot the points on a graph with the x-axis representing the value column and the y-axis representing the frequency column.
2. Connect the points with straight lines to form a polygon.
3. Label the x-axis "Value" and the y-axis "Frequency"
4. Provide a title for the graph, such as "Frequency Distribution of Data Set"

Step 1: Organize the data in ascending order.
(2,2,3,3,3,4,4,4,5,6)

Step 2: Identify the unique values in the data set and create a frequency table.
Value | Frequency
--------------
2     | 2
3     | 3
4     | 3
5     | 1
6     | 1

Step 3: Identify the axes for the frequency polygon.
- The horizontal (x) axis represents the unique values in the data set.
- The vertical (y) axis represents the frequency of each unique value.

Step 4: Plot the data points on the graph using the frequency table.
- (2,2)
- (3,3)
- (4,3)
- (5,1)
- (6,1)

Step 5: Connect the data points with straight lines to form the frequency polygon.

Step 6: Label the axes and provide a title.
- Label the horizontal (x) axis as "Values."
- Label the vertical (y) axis as "Frequency."
- Provide a title such as "Frequency Polygon of Data Set."

Now you have created a frequency polygon of the data, with labeled axes and a title.

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Result:

The number of ways to choose 15 out of 20 questions = 15,504 ways.

To choose 15 questions out of 20, we can use the combination formula:

nCr = n! / r! * (n - r)!

where:

n = the total number of questions ( that is 20questions)

C = combination

r = the number of questions to be selected (15 questions).

The number of ways to choose 15 questions out of 20:

20C15 = 20! / 15! * (20 - 15)!

= 20! / 15! * 5!

= (20 * 19 * 18 * 17 * 16) / (5 * 4 * 3 * 2 * 1)

= 15504

Therefore, there are 15,504 ways to choose 15 questions out of 20.

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The maximal margin of error associated with a 99% confidence interval for the true population mean backpack weight is 2.73 ounces (rounded to two decimal places).

We can use the formula for the margin of error in a confidence interval:

margin of error = z ×(σ / √n)

where:

z is the z-score corresponding to the desired level of confidence (99% in this case), σ is the standard deviation, n is the sample size

For a 99% confidence level, the z-score is approximately 2.576.

Substituting the given values into the formula, we get:

margin of error = 2.576 × (8.2 / √47

margin of error = 2.73

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This can be determined by analyzing the given differential equation. The equation shows that the rate of change of y, y', is proportional to the square of y, y^2, with a negative constant factor of (1/6). This means that as y increases, the rate of change y' decreases, and as y decreases, the rate of change y' increases.

Therefore, if y is positive, y' will be negative, indicating that y is decreasing. And if y is 0, y' will also be 0, indicating that y is constant. Thus, the function y must be decreasing (or equal to 0) on any interval on which it is defined.

In terms of mathematics, this can also be expressed as follows:
- The given differential equation represents a function y' as a function of y: y' = f(y) = (1/6)y^2.
- Since f(y) is always non-positive for all real y, y' will be non-positive for all positive y, indicating that y is decreasing (or equal to 0).
- Therefore, any solution of the equation y' = (1/6)y^2 will have a decreasing (or constant) function y on any interval on which it is defined.
Your answer: a.) The function y must be increasing (or equal to 0) on any interval on which it is defined.

Explanation: The given differential equation is y' = (1/6)y^2. Since y^2 is always non-negative (i.e., greater than or equal to 0), the right side of the equation (1/6)y^2 is also always non-negative. Therefore, y' (the derivative of y with respect to x) must be greater than or equal to 0. This implies that the function y must be increasing (or equal to 0) on any interval on which it is defined.

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The number of different-appearing ways to arrange three identical marbles in the holes shown, with no three marbles in three adjacent holes, is:  20 - 6 = 14.

To answer your question, we need to first determine how many ways there are to place three identical marbles into the six holes shown. This can be calculated using the combination formula:

C(6,3) = 6! / (3! * (6-3)!) = 20

So there are 20 different ways to place three identical marbles into the holes.

However, we need to exclude any arrangements where three marbles are in three adjacent holes. To do this, we can count the number of arrangements where this occurs and subtract from the total.

There are three ways this can happen: the marbles can be in holes 1, 2, and 3; or in holes 2, 3, and 4; or in holes 3, 4, and 5.

In each case, we can treat the three adjacent holes as a single "super hole" and place the marbles in the remaining three holes. This can be done in 2 ways, since the marbles are identical and can be placed in any order.

So the number of arrangements with three marbles in three adjacent holes is 3 x 2 = 6.

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The minimum score required for an A grade is approximately 87 when rounded to the nearest whole number.

To find the minimum score required for an A grade, we'll use the given information about the normal distribution and the percentiles associated with each letter grade. Since an A grade is given to the top 8% of scores, we need to find the score that corresponds to the 92nd percentile (100% - 8%). Given the mean of 77.1 and a standard deviation of 7.4, we can use the z-score formula or a z-table to find the score at the 92nd percentile.
The z-score formula is: z = (X - mean) / standard deviation
Using a z-table, we find that the z-score corresponding to the 92nd percentile is approximately 1.41. Now we can use the z-score formula to find the score X:
1.41 = (X - 77.1) / 7.4
Solving for X, we get:
X = (1.41 * 7.4) + 77.1 ≈ 87.4

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I'll show you how to do the first one so that you can do the rest yourself

Answer:

7, 10, 13, 19, 24

Step-by-step explanation:

First, re-write the numbers in numerical order;

7  8  10  10  13  16  19  23  24

(If there's a double number, add it twice)

Then, find the following values easily

The Minimum is the lowest value, 7

The Median is the middle value, 13

The Maximum is the highest value, 24

Here's where it gets tricky...You split the first half (7-13) and the second half (13-24). You then find the median of both halves to find Q1 and Q3

Simply follow those steps to find the other solutions

It should be noted that to ascertain the composite area of a trapezoid and two similar parallelograms, the following steps should be followed.

Find the area of the trapezoid:

First, compute the length of both parallel sides of this trapezoid and then measure its height.

Next, substitute these figures into formulae for computing its area.

Identify the area of one parallelogram:

Then use an instrument to determine the length of the base as well as the altitude of one of the congruent parallelograms and input these values in the given equation to calculate its area.

Multiply the area of the single parallelogram by 2:

For attaining the total area of both parallelograms, simply multiply the area of one parallelogram by two.

Add the areas of the trapezoid and both involved parallelograms to get the combined area:

Finally, combine the area of the trapezoid with the overall area of both parallelograms to determine the aggregate area.

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Based on the given circle with secants HIJ and LKJ, the length of HI to the nearest tenth is equal to 46.3 units.

In Mathematics and Geometry, the Tangent Secant Theorem states that if a secant segment and a tangent segment are drawn to an external point outside a circle, then, the product of the length of the external segment and the secant segment's length would be equal to the square of the tangent segment's length.

By applying the Tangent Secant Theorem to this circle, we have the following:

LJ × KJ = IJ × HI

37 × 15 = 12HI

555 = 12HI

HI = 555/12

HI = 46.3 units.

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Answer:

{1/2}{1/2}=1/4

Step-by-step explanation:

The probability of rolling a 1 then a prime number when rolling a fair number cube twice is 1/12.

To find the probability of rolling a 1 then a prime number when rolling a fair number cube twice, we need to determine the possible outcomes. When rolling a number cube, there are six possible outcomes: 1, 2, 3, 4, 5, and 6. The probability of rolling a 1 is 1/6. Now, when rolling the cube a second time, the possible outcomes remain the same. However, only the numbers 2, 3, 5, have prime values. So the probability of rolling a prime number is 3/6.

To find the probability of both events happening together, we multiply the probabilities. Therefore, the probability of rolling a 1 then a prime number is (1/6) * (3/6) = 1/12. This means that there is a 1 in 12 chance of rolling a 1 and then rolling a prime number when rolling a fair number cube twice.

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The value of the expression 8-3√16 is -4.

We have,

8-3√16

We know that √16

= √4 x 4

= 4

Substituting the value of √16 in 8-3√16 we get

8-3√16

= 8-3(4)

= 8- 12

= -4

Thus, the value of expression is -4.

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The area to the left of z=1.07 is approximately 0.8577 (rounded to four decimal place. To find the area under the standard normal curve to the left of z = 1.07 using a TI-84 calculator.

Follow these steps:

1. Press the "2nd" button, then press "Vars" to access the "DISTR" menu.
2. Scroll down to "normalcdf(" and press "Enter".
3. Enter -99999 (or -E99) as the lower limit, since we want to find the area to the left of z = 1.07, which is very close to negative infinity.
4. Enter 1.07 as the upper limit, since we want to find the area to the left of this value.
5. Enter 0 as the mean, since we're working with the standard normal distribution.
6. Enter 1 as the standard deviation, since we're working with the standard normal distribution.
7. Press "Enter" to calculate the area.

The answer should be approximately 0.8577 when rounded to four decimal places.

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Answer:

The answer is 0.7880

or 1 to the nearest whole number

Step-by-step explanation:

cos 38=0.7880

1 to the nearest whole number

The sample size of 75, mu_p = 0.65, sigma_p ≈ 0.0561, and P(0.62 < p < 0.68) ≈ 0.4032.

Given that the proportion of graduating high school students who can read at an eighth-grade level is 65% (0.65), we can use this information to find mu_p, sigma_p, and P(0.62 < p < 0.68) for a sample of size 75.

1. mu_p (population mean proportion) = p = 0.65

2. sigma_p (population standard deviation of proportion) = sqrt[p * (1-p) / n]
  sigma_p = sqrt[0.65 * (1-0.65) / 75]
  sigma_p ≈ 0.0561

3. To find P(0.62 < p < 0.68), we need to standardize the values and use the standard normal distribution table (Z-table).
  For 0.62: z1 = (0.62 - 0.65) / 0.0561 ≈ -0.535
  For 0.68: z2 = (0.68 - 0.65) / 0.0561 ≈ 0.535

Now, using the Z-table to find the probability:
  P(z1 < Z < z2) = P(-0.535 < Z < 0.535) ≈ 0.4032

So, for a sample size of 75, mu_p = 0.65, sigma_p ≈ 0.0561, and P(0.62 < p < 0.68) ≈ 0.4032.

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The expression that is equivalent to 3(x − 4) + 4(y + 2) is 3x + 4y

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

3(x − 4) + 4(y + 2)

Open the brackeys

So, we have

3x - 12 + 4y + 12

Evaluate

3x + 4y

Hence the expression is 3x + 4y

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Under normal circumstances and assuming no interfering factors. This suggests a unidirectional relationship between the variables, with a being the independent variable and b being the dependent variable.

If a and b are highly correlated, and b changes when you manipulate a but a does not change when you manipulate b, then it is most likely that b is the dependent variable and a is the independent variable. if a and b are highly correlated and b changes when you manipulate a, but a does not change when you manipulate b, the most likely scenario is that a has a causal influence on b, but b does not have a causal influence on a.

This suggests that changes in a are causing changes in b, and not the other way around. However, it is important to note that this conclusion assumes normal circumstances and no interfering factors, which may impact the relationship between a and b.

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The length of the major arc DFE is given as follows:

L = 5.11π

The circumference of a circle of radius r is given by the equation presented as follows:

C = 2πr.

The radius in this problem is of 4 ft, hence the length of the whole circumference is of:

C = 8π.

The entire circumference is of 360º, with a minor arc of 130º, hence the length of the major arc is given as follows:

360 - 130 = 230º.

Meaning that the length of the major arc is given as follows:

L = 230/360 x 8π

L = 5.11π

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The convolution integral is a mathematical technique used to find the inverse Laplace transform of a function. In this case, we have a function f(s) that we want to find the inverse Laplace transform of. Let's call the inverse Laplace transform of f(s) F(t).

To use the convolution integral, we first need to express f(s) as a product of two Laplace transforms. Let's call these Laplace transforms F1(s) and F2(s):

f(s) = F1(s) * F2(s)

where * denotes the convolution operation.

Next, we use the convolution theorem to find F(t):

F(t) = (1/2πi) ∫[c-i∞,c+i∞] F1(s)F2(s)e^(st)ds

where c is any constant such that the line Re(s)=c lies to the right of all singularities of F1(s) and F2(s).

In our case, we need to find the inverse Laplace transform of a specific function. Let's call this function F(s):

F(s) = 1/(s^2 + 4s + 13)

To use the convolution integral, we need to express F(s) as a product of two Laplace transforms. One way to do this is to use partial fraction decomposition:

F(s) = (1/10) * [1/(s+2+i3) - 1/(s+2-i3)]

Now we can use the convolution theorem to find the inverse Laplace transform of F(s):

f(t) = (1/2πi) ∫[c-i∞,c+i∞] F1(s)F2(s)e^(st)ds

where F1(s) = 1/(s+2+i3) and F2(s) = 1/(10)

Plugging in these values, we get:

f(t) = (1/2πi) ∫[c-i∞,c+i∞] (1/(s+2+i3))(1/(10)) e^(st)ds

Now we can simplify this integral and evaluate it using complex analysis techniques. The final answer will depend on the value of c that we choose.

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Use the convolution theorem to find the inverse Laplace transform of each of the following functions. a. F(S) = S/((S + 2)(S^2 + 1)) b. F(S) = 1/(S^2 + 64)^2 c. F(S) = (1 - 3s)/(S^2 + 8s + 25) Use the Laplace Transform to solve each of the following integral equations. a. f(t) + integral^infinity_0 (t - tau)f(tau)d tau =t b. f(t) + f(t) + sin (t) = integral^infinity_0 sin(tau)f(t - tau)d tau: f(0) = 0 Find the Inverse Laplace of the following functions. a. F(t) = 3t^ze^2t b. f(t) = sin(t - 5) u(t - 5) c. f(t) = delta(t) - 4t^3 + (t - 1)u(t - 1)

In a greenhouse experiment, the dependent variable is the variable that is being measured and is affected by the independent variable. The independent variable is the variable that is being manipulated or changed by the researcher in order to observe its effect on the dependent variable.

The values from the greenhouse experiment that represent the dependent variable will depend on the specific experiment being conducted. For example, if the experiment is focused on studying the effect of different types of fertilizers on plant growth, the dependent variable would be the plant growth, measured in terms of height or weight. In this case, the independent variable would be the type of fertilizer used.

When plotting these data on a line graph, the dependent variable would go on the y-axis, while the independent variable would go on the x-axis. This allows for easy visualization of the relationship between the variables being studied. By plotting the data points on a line graph, it is possible to identify any patterns or trends that may exist in the data, and to draw conclusions about the relationship between the independent and dependent variables.

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The section the number √17 belongs to is the section C

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

√17

When evaluated, we have

√97 = 4.123.....

This number is between 4 and 4.5

From the number line description, we have

4 to 4.5 is labeled C

Hence, the section located is the section C

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The random variable that has a distribution that can be approximated by a binomial distribution is the number of college-bound students among the 100 high school graduates who took the SAT test.

Since approximately 45% of all high school graduates took the test, we can assume that the probability of a high school graduate being college-bound and taking the test is 0.45. Therefore, the number of college-bound students among the 100 high school graduates who took the test follows a binomial distribution with parameters n=100 and p=0.45.
Your question involves the terms "college-bound students," "100 high school graduates," and "binomial distribution." In this scenario, the random variable that can be approximated by a binomial distribution is the number of high school graduates who took the SAT out of the randomly selected 100 high school graduates.
To explain further, a binomial distribution is used when there are a fixed number of trials (in this case, 100 high school graduates), with only two possible outcomes (either a graduate took the SAT or did not take the SAT), and each trial is independent with the same probability of success (45% in this case). The random variable of interest, the number of students who took the SAT, meets these criteria, and thus can be approximated by a binomial distribution.

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The sale price of this dictionary is equal to $17.

In this scenario and exercise, we would determine the sales price after a discount of 50 percent is taken off as follows;

Discount of 50% off = 100 - 50

Discount of 50% off = 50%

Next, we would calculate 50 percent of the original price of of this dictionary as follows;

New sales price = 50/100 × 34

New sales price = 0.5 × 34

New sales price = $17

In this context, we can reasonably infer and logically deduce that the sales price would be equal to $17.

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We need 588.75 square inches of leather to create the travel case which is cylindrical.

The surface area of a cylinder is given by the formula:

A = 2πr² + 2πrh

where r is the radius of the circular base, h is the height of the cylinder, and π is the mathematical constant pi, which is approximately equal to 3.14.

In this case, we are given that the cylinder has a diameter of 15 inches, so the radius is 7.5 inches (half of the diameter).

We are also given that the height of the cylinder is 5 inches.

Using these values in the formula, we can calculate the surface area of the cylinder as:

A = 2π(7.5)² + 2π(7.5)(5)

= 2π(56.25) + 2π(37.5)

= 2(π)(93.75)

= 187.5π

=588.75

Therefore, we need 588.75 square inches of leather to create the travel case.

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The ML estimate for u in this exponential distribution is the ratio of the number of observations (n) to the sum of the observations (∑x_i).

Given the mean of the exponential density function as y = 1/4, the corresponding exponential distribution can be written in the form of the probability density function (PDF) as:

f(x) = { 4 * e^(-4x) for x ≥ 0, 0 otherwise }

Now, assuming n independent observations X1, X2, ...Xn, we need to derive the maximum likelihood (ML) estimate for the parameter u (in this case, u = 4). To do this, we first find the likelihood function L(u) by taking the product of the PDFs for each observation:

L(u) = ∏[u * e^(-ux_i)] for i = 1, 2, ..., n

Then, take the natural logarithm of the likelihood function to obtain the log-likelihood function l(u):

l(u) = ln(L(u)) = ∑[ln(u) - u * x_i] for i = 1, 2, ..., n

Next, we differentiate l(u) with respect to u and set the result to zero to find the maximum:

dl(u)/du = ∑[1/u - x_i] = 0

Finally, solve for u to obtain the ML estimate:

u = n / ∑x_i

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