Approximately how many inches of ground does kameron cover in
3
full rotations of the unicycle wheel? (use
3.14
as an approximation of pi.)

Linda contributed $3,355.56 to social security in 2003.

The Social Security tax is a payroll tax that is deducted from employees' paychecks to help fund the Social Security program, which provides retirement, disability, and survivor benefits to eligible individuals.

The Social Security tax rate is typically 6.2% for employees and employers, and the maximum amount of taxable earnings is determined each year by the Social Security Administration (SSA).

In 2003, the maximum taxable earnings was $87,000. This means that any earnings above $87,000 were not subject to Social Security taxes.

To calculate Linda's contribution to social security in 2003, we will use the given social security tax rate of 6.2% and her income of $54,122.

Convert the tax rate percentage to a decimal by dividing by 100.
6.2% / 100 = 0.062

Multiply Linda's income by the decimal tax rate.
$54,122 * 0.062 = $3,355.56

Linda contributed $3,355.56 to social security in 2003.

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Thus, the percentage of the 2,000 paitents that had blood-clotting times between 5 and 11 seconds is  68.27% = 69%.

The majority of data points in a continuous probability distribution called a "normal distribution" cluster around the range's middle point, while the ones that remain taper symmetrically towards either extreme. The distribution's mean is another name for the centre of the range.

Given data:

Then,

percent p (5 < x < 11 ) = z [(5 - μ) /σ  < x < (11 - μ )/ σ]

p (5 < x < 11 ) = z [(5 - 8) /3  < x < (11 - 8 )/ 3]

p (5 < x < 11 ) = z [-1  < x < 1]

p (5 < x < 11 ) = z [0.8413 - 0.1586]

p (5 < x < 11 ) = 0.6827

p (5 < x < 11 ) = 68.27%

Thus, the  percentage of the 2,000 paitents that had blood-clotting times between 5 and 11 seconds is  68.27% = 69%.

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The percentage of companies with revenue between 50 million and 90 million dollar is: 87.6%

The formula for the z-score in this type of distribution is:

z = (x' - μ)/σ

where:

x' is sample mean

μ is population mean

σ is standard deviation

We are given:

μ = 70 million dollars

σ = 13 million dollars

Thus:

When x' = 50 million dollars, we have:

z = (50 - 70)/13

z = -1.54

When x' = 90 million dollars, we have:

z = (90 - 70)/13

z = 1.54

Using probability between two z-scores calculator, we have:

z = 0.87644 = 87.6%

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The fraction is 1/6. Option D

First, we need to know the conversion factor the parameters.

Then, we have that';

1 liter = 1000 milliliter

10 milliliters (ml) = 1 centiliter (cl)

10 centiliters =  1 deciliter (dl) = 100 milliliters

1 liter =  1000 milliliters

1 milliliter =  1 cubic centimeter

1 liter =  1000 cubic centimeters

Then, we can say that;

If 1 liter = 1000ml

Then 2 4/8 = 400ml

2.4 liters is equal to 2.4 x 1000= 2400 milliliters.

400/2400

Simplify the fraction;

4/24

Divide the values, we get;

1/6

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Answer:

72 children prefer cycling

Step-by-step explanation:

Cycling = 12 children

Football = (12×3) = 36 children

120 - (12 + 36) = 72

The correlation coefficient (r) for the given data points is approximately 0.9859, indicating a strong positive relationship between the x and y values.

1. First, let's find the mean of the x-values and the y-values. To do this, add all the x-values together and divide by the total number of points (9). Repeat this for the y-values.
Mean of x = (65 + 71 + 79 + 80 + 86 + 86 + 91 + 95 + 100) / 9 ≈ 83.67
Mean of y = (102 + 133 + 144 + 161 + 191 + 207 + 235 + 237 + 243) / 9 ≈ 183.89

2. Next, calculate the deviations of each point from the mean for both x and y.
For example, for the first point (65,102), the deviations are:
x-deviation = 65 - 83.67 ≈ -18.67
y-deviation = 102 - 183.89 ≈ -81.89

3. Then, multiply the x and y deviations for each point and sum the results. Also, square the deviations for both x and y and sum them separately.
Sum of x*y deviations ≈ 47598.73
Sum of squared x deviations ≈ 2678.89
Sum of squared y deviations ≈ 105426.56

4. Finally, calculate the correlation coefficient (r) by dividing the sum of x*y deviations by the square root of the product of the sum of squared x and y deviations.
r = (47598.73) / √(2678.89 * 105426.56) ≈ 0.9859

The correlation coefficient (r) for the given data points is approximately 0.9859, indicating a strong positive relationship between the x and y values.

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This limit exists and is less than 1 when |x| < 1/3. Therefore, the interval of convergence for the power series is (-1/3, 1/3).

To build a power series for f(x), we can use the geometric series formula:

1 / (1 - r) = ∑(n=0 to infinity) r^n

where r is a constant with |r| < 1. In this case, we have:

f(x) = x^4 / (1 - 3x) = x^4 * 1 / (1 - 3x)

So, we can let r = 3x and use the formula:

1 / (1 - 3x) = ∑(n=0 to infinity) (3x)^n

Multiplying both sides by x^4, we get:

f(x) = x^4 * ∑(n=0 to infinity) (3x)^n

Now we can write the summation notation for the power series as:

f(x) = ∑(n=0 to infinity) (3^n * x^(n+4))

To find the interval of convergence, we can use the ratio test:

lim(n->∞) |(3^(n+1) * x^(n+5)) / (3^n * x^(n+4))| = lim(n->∞) |3x|

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The probability that Morgan will catch the train to Agon is 0.578.

To catch the train to Agon, one of the following conditions must be met:

The train to Bewford is not late and the train to Agon is not late.

The train to Bewford is not late and the train to Agon is late.

The probability of the first condition is:

(0.76) x (0.65) = 0.494

The probability of the second condition is:

(0.24) x (0.35) = 0.084

Therefore, the probability that Morgan will catch the train to Agon is:

0.494 + 0.084 = 0.578 (to three decimal places)

So the probability that Morgan will catch the train to Agon is 0.578.

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The statement that is correct about the value of: 13 + √50 is A. 13 + √50 is an irrational number

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

13 + √50

When the above expression is evaluated we have

13 + √50 = 20.0710678119

The above result (20.0710678119) is an irrational number

This is because the number 20.0710678119 cannot be expressed as a ratio of two integers

Hence, the statement that is correct about the value of: 13 + √50 is A. 13 + √50 is an irrational number

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If the S&P stock index fell by an average of 8% each day, we can model the

data using exponential decay. Let P represent the initial value of the S&P

stock index and t represent the number of days. Then, the equation for the

S&P stock index after t days is:

[tex]P(t) = P * (0.92)^t[/tex]

Here, 0.92 represents the daily decay factor, which is derived from

subtracting 8% from 100% (100% - 8% = 92%). As each day passes, the

value of P(t) decreases exponentially by a factor of 0.92.

It's important to note that this equation assumes that the S&P stock index

falls by exactly 8% each day, which may not be a realistic scenario in real

life. Additionally, this equation only models the decay of the S&P stock

index value and does not take into account any external factors that may

affect its value.

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Answer: The answer to your question is the square root of 65

It will take about 387.3 months (or about 32.3 years) to triple the balance of the account.

What is Compound Interest ?

Compound interest refers to the process of earning interest on both the initial principal amount as well as any accumulated interest from previous periods. In other words, it is the interest that is earned on the interest that has been accumulated over time.

We can use the formula for compound interest to solve this problem.

Where:

A = the final amount

P = the initial amount

r = the annual interest rate (as a decimal)

n = the number of times the interest is compounded per year

t = the time (in years)

In this problem, we have:

P = $250

r = 0.06% = 0.0006 (as a decimal)

n = 12 (since the interest is compounded monthly)

A = 3P = $750

Substituting these values into the formula, we get:

750 = 250[tex](1 + 0.0006/12) ^{12t}[/tex]

Dividing both sides by 250, we get:

3 =[tex](1 + 0.0006/12) ^{12t}[/tex]

Taking the natural logarithm of both sides, we get:

㏒(3) = 12t ㏒(1 + 0.0006÷12)

Solving for t, we get:

t = ㏒(3)/(12 ㏒(1 + 0.0006÷12))

Plugging this into a calculator, we get:

t ≈ 387.3 months

Therefore, it will take about 387.3 months (or about 32.3 years) to triple the balance of the account.

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we can say with 99% confidence that the true proportion of times the number cube would land with a six facing up is between 0.05 and 0.49.

To find the 99% confidence interval for the true proportion of times the number cube would land with a six facing up, we can use the formula:

CI = p ± zsqrt(p(1-p)/n)

where:

CI is the confidence interval

p is the sample proportion (number of times the cube landed with a six facing up divided by the total number of rolls)

z is the z-score corresponding to the desired confidence level (99% in this case)

n is the sample size (45 in this case)

First, let's calculate the sample proportion:

p = 12/45 = 0.27

Next, we need to find the z-score corresponding to a 99% confidence level. Using a standard normal distribution table or calculator, we find that the z-score is 2.58.

Now we can plug in the values and calculate the confidence interval:

CI = 0.27 ± 2.58sqrt(0.27(1-0.27)/45)

CI = 0.27 ± 0.22

CI = (0.05, 0.49)

The number cube would land with a six facing up between 0.05 and 0.49.

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after integrating we get ∫76 cos(29 x) cos(34 x) cos(4x) dx= 1/150 [sin(75x) + 2sin(67x) + 2sin(59x)] + C

Using the identity cos(a)cos(b) = 1/2[cos(a+b) + cos(a-b)], we can rewrite the integrand as:

cos(29x)cos(34x)cos(4x) = 1/2[cos((29+34+4)x) + cos((29+34-4)x)]cos(4x)
= 1/2[cos(67x) + cos(59x)]cos(4x)

Now, using the same identity again, we can further simplify:

cos(67x)cos(4x) = 1/2[cos(71x) + cos(63x)]cos(4x)
cos(59x)cos(4x) = 1/2[cos(63x) + cos(55x)]cos(4x)

Substituting these back into the original integral, we get:

∫76 cos(29x)cos(34x)cos(4x) dx = 1/2 ∫76 [cos(71x) + cos(63x) + cos(63x) + cos(55x)]cos(4x) dx
= 1/2 ∫76 [cos(71x)cos(4x) + cos(63x)cos(4x) + cos(63x)cos(4x) + cos(55x)cos(4x)] dx

Now, using the identity ∫ cos(ax) dx = (1/a)sin(ax) + C, we can easily integrate each term:

1/2 [1/75 sin(75x) + 1/67 sin(67x) + 1/67 sin(67x) + 1/59 sin(59x)] + C

Therefore, the final answer is:

∫76 cos(29x)cos(34x)cos(4x) dx = 1/150 [sin(75x) + 2sin(67x) + 2sin(59x)] + C

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The theoretical probability of rolling less than 9 on a 12-sided die is 0.6667 or approximately 67%.

To find the theoretical probability of rolling less than 9 on a 12-sided die, we need to count the number of outcomes that satisfy this condition and divide by the total number of possible outcomes.

There are 8 outcomes that satisfy this condition, namely 1, 2, 3, 4, 5, 6, 7, and 8. The total number of possible outcomes is 12, since the die has 12 sides. Therefore, the theoretical probability of rolling less than 9 on a 12-sided die is:

P(less than 9) = Number of outcomes that satisfy the condition / Total number of possible outcomes

= 8 / 12

= 2 / 3

= 0.6667

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Answer:

1.5 for both

Step-by-step explanation:

Taking each number and multiplying it by 1.5 will get you the dilated coordinates

Answer:

Sure, here's the solution to the word problem:

Jack has $10 in his lunch account and plans to spend $2 a week on snacks. To find out how long it will take his lunch account to reach zero, we can divide the total amount of money in his account by the amount he spends each week.

```

$10 / $2 = 5 weeks

```

Therefore, it will take Jack 5 weeks to spend all of the money in his lunch account.

Here's another way to solve the problem:

We can also set up an equation to represent the situation. Let x be the number of weeks it takes Jack's lunch account to reach zero. We know that Jack starts with $10 and spends $2 each week, so we can write the equation:

```

$10 - $2x = 0

```

Solving for x, we get:

```

x = 5

```

Therefore, it will take Jack 5 weeks to spend all of the money in his lunch account.

Answer:

in 5 weeks he will have 0$ in his account

Step-by-step explanation:

To produce (a) a scatterplot matrix of all five Features: we can use the Multivariate platform in JMP. (b) To conduct a principal component analysis (PCA) on the correlations select "Principal Components" from the red triangle menu. In the resulting dialog box, we can select the five features and check the "Correlations" option.

(a)You would utilise the Multivariate platform in JMP software to generate a scatterplot matrix of each of the five features. This allows you to visualize the relationships between each pair of features and identify any correlations or trends that may exist.

(b) You would use the PCA function in JMP or another statistical programme to perform a principal component analysis (PCA) on the correlations of all five features.

PCA is a technique used to reduce the dimensionality of data by identifying the most important features (principal components) that account for the largest variance in the data. Eigenvectors are used to determine the importance of each feature, with higher values indicating more significant features.

Considering the eigenvectors, the most useful features are those with the highest values, as they contribute the most to explaining the variation in the data. These high-value eigenvectors will help you identify the key socioeconomic factors driving differences between the census tracts in the LA Metropolitan area.

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After considering the given values provided in the question the value of x is 46cm, under the condition that the volume of this prism is 2990cm³. the area of the cross-section is 65cm².

The evaluated volume of a prism refers to the area of the cross-section multiplied by its length. Then, considering the volume of this prism is 2990cm³ and the area of the cross-section is 65cm², we can finally formulate a formula to evaluate the length of the prism by dividing the volume by the area of the cross-section.

So,

Length = Volume / Area of cross-section

     = 2990 / 65

     = 46

Then the value of x  = 46cm.

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The complete question is

The volume of this prism is 2990cm³. The area of the cross-section is 65cm². Work out x

Diagram is not drawn to scale

The slope of the graph is the same positive value that is 0.75.

Hence the correct option is (1).

We know that the equation of a straight line with slope 'm' and y intercept 'c' is given by,

y = mx + c

Here the model equation

c = 0.75h, where c is the total cost to buy hotdogs

h is the number of hotdogs bought

And 0.75 is the price of one hotdog

Now we can clearly say that c = 0.75h will make a straight line coordinate plane.

Now comparing the equation with slope intercept equation of straight line we get,

m = 0.75 and c = 0

So the slope of the line represented by model equation = 0.75 which is a positive number.

y intercept  = 0.

We know that the slope of one particular straight line on cartesian plane is unique.

So, the slope of the graph is the same positive value.

Hence the correct option is (1).

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Kirk would have paid $13,900 more for damages than what he had invested in his insurance policy if he did not have automobile insurance.

The amount that Kirk would have paid for damages than what he had invested in his insurance policy if he did not have automobile insurance can be determine as follows. Hence,

1. Calculate the total amount Kirk paid in insurance premiums over 8 years:

$1,075 * 8 = $8,600

2. Determine the total value of the car that was totaled:

$22,500

3. Subtract the total amount Kirk paid in insurance premiums from the value of the totaled car:

$22,500 - $8,600 = $13,900

Kirk would have paid $13,900 more for damages.

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A 20-ounce smoothie from Blender Splendor contains 8 ounces of fruit juice.

To find out how many ounces of fruit juice are in a 20-ounce smoothie from Blender Splendor, given that 40% of the smoothie is fruit juice, follow these steps:

1. Convert the percentage to a decimal: 40% = 0.40
2. Multiply the total ounces of the smoothie by the decimal: 20 ounces * 0.40 = 8 ounces

Your answer: A 20-ounce smoothie from Blender Splendor contains 8 ounces of fruit juice.

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The probability of a passengers waiting at the stop less than 5 minutes and more than 10 minutes is equal to 1/6 and 2/3 respectively.

Probability that the passenger waits less than 5 minutes for the train,

Area under the probability density function (PDF) of the arrival time distribution from 7:00am to 7:05am.

Distribution is uniform,

PDF is a constant function over the interval [7:00am, 7:30am] .

With height 1 / (30 minutes - 0 minutes) = 1/30.

Area under the PDF from 7:00am to 7:05am is,

Probability of waiting less than 5 minutes

= area under PDF from 7:00am to 7:05am

= (1/30) ×(5 - 0) minutes

= 1/6

Probability that the passenger waits less than 5 minutes for the train is 1/6.

Probability that the passenger waits more than 10 minutes for the train is

= Area under the PDF from 7:00am to 7:30am -  area under the PDF from 7:00am to 7:10am.

Area under PDF from 7:00am to 7:30am

= (1/30) × (30 - 0) minutes

= 1

Area under PDF from 7:00am to 7:10am

= (1/30) × (10 - 0) minutes

= 1/3

Area under PDF from 7:10am to 7:30am

= 1 - 1/3

= 2/3

Probability of waiting more than 10 minutes

= area under PDF from 7:10am to 7:30am

= (1/30) × (30 - 10) minutes

= 2/3

Probability that the passenger waits more than 10 minutes for the train is 2/3.

Therefore, the probability of waiting less than 5 minutes and waiting more than 10 minutes is equal to 1/6 and 2/3 respectively.

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The required answer to the algebraic fraction [ {(5)/(6)}a + 4 {(1)/(4)}a ] is [ {(11)/(6)}a ] .

We can simplify this algebraic fraction problem by simple rule of fraction addition and with application LCM rule as,

{(5)/(6)}a + 4 {(1)/(4)}a

= {(5)/(6)}a + (1)a

= [{ (5)+ (6) }/(6)]a

= {(11)/(6)}a

The LCM (or, Least Common Multiple) rule is used for the two algebraic fraction here as the value that is divisible by the two given numbers in the denominator of the algebraic fractions. Then by rule, the numerators are multiplied by the factor of LCM of the denominator and then the numerators are added.

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Angle between the planes is 0.978 radians

To find the angle between the planes 8x + y = -7 and 4x + 9y + 10z = -17, we need to follow these steps:

Step 1: Find the normal vectors of the planes. The coefficients of the variables in the plane equation (Ax + By + Cz = D) represent the components of the normal vector (A, B, C).

For the first plane (8x + y = -7), the normal vector is N1 = (8, 1, 0).
For the second plane (4x + 9y + 10z = -17), the normal vector is N2 = (4, 9, 10).

Step 2: Calculate the dot product of the normal vectors.
N1 · N2 = (8 * 4) + (1 * 9) + (0 * 10) = 32 + 9 + 0 = 41

Step 3: Calculate the magnitudes of the normal vectors.
|N1| = √(8² + 1² + 0²) = √(64 + 1) = √65
|N2| = √(4² + 9² + 10²) = √(16 + 81 + 100) = √197

Step 4: Find the cosine of the angle between the planes.
cos(angle) = (N1 · N2) / (|N1| * |N2|) = 41 / (√65 * √197)

Step 5: Calculate the angle in radians.
angle = arccos(cos(angle)) = arccos(41 / (√65 * √197))

Using a calculator, we find the acute angle between the planes to be approximately 0.978 radians (rounded to the nearest thousandth).

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The population is 38, and the sample is 5 students.

. The population for this problem is the entire soccer team, which consists of 38 members.

b. The sample for this problem is the group of 5 students who are selected by the coach to represent the team in the Homecoming Parade.

c. One method for selecting a random sample of 5 students from the team is to use a random number generator to choose 5 numbers between 1 and 38, representing the 38 team members. The coach can then select the students who correspond to the chosen numbers. Another method is to write the names of all 38 team members on identical slips of paper, place the slips in a container, mix them up, and then randomly select 5 slips to determine the students who will participate in the parade. It is important to ensure that the selection method is truly random to avoid any bias or non-representativeness in the sample.

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The three functions that are not linear are b., c., and d. because they include a constant that shifts the graph, both addition and subtraction of constants, and an exponent, respectively.

A linear function is a function where the rate of change between the independent variable (x) and the dependent variable (y) is constant. In other words, if you were to graph a linear function, it would form a straight line.

Looking at the given functions, we can determine which ones are not linear.

Function b. is not linear because it includes a constant (-2) which would cause the graph to shift downwards. The graph of a linear function cannot shift upwards or downwards, it can only shift left or right.

Function c. is not linear because it includes both addition and subtraction of constants. This means that the rate of change is not constant and the graph would not form a straight line.

Function d. is not linear because it includes an exponent (2) which causes the rate of change to increase. Linear functions have a constant rate of change, so the inclusion of an exponent would cause the graph to form a curve, not a straight line.

Functions a., e., and f. are all linear because they have a constant rate of change and do not include any non-linear elements like exponents or constants that would shift the graph.

So, b., c., and d are not linear.

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The final answer to this question on vector is : - (v/2)/||v/2|| = -/sqrt((v1/2)^2 + (v2/2)^2 + (v3/2)^2).

To find a unit vector that is oppositely directed to v and half the length of v, we first need to find the length of v. Let's say v = . Then, the length of v, denoted as ||v||, is given by:

||v|| = sqrt(v1^2 + v2^2 + v3^2)

Now, since we want a vector that is half the length of v, we can simply divide v by 2: v/2

However, we also want this vector to be oppositely directed to v, which means we need to change the sign of each component.

Therefore, our final answer is:
- (v/2)/||v/2|| = -/sqrt((v1/2)^2 + (v2/2)^2 + (v3/2)^2)

This is the unit vector that is oppositely directed to v and half the length of v.

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Probability is frequently used in news reports to convey the possibility of an event occurring.

Generally, in my opinion, probability is used well in the media space.

Probability is frequently used in news reporting to demonstrate the likelihood of an event occurring. A news story, for example, might mention that there is a 50% chance of rain tomorrow. Similarly, sports writers may use probability to forecast the outcome of games and goals to be scored.

Overall, I feel probability is utilized fairly responsibly in the media and entertainment industries, with a focus on informing or entertaining audiences rather than misleading them. However, in some cases, such as political polling or advertising, the use of probability may be incorrect or exploited to influence audiences.

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The area of the unbounded region R between the graph of y=1/(xln(x))² and the x-axis for x≥3 is 1/ln(3) square units. The integral was found by substitution and evaluated at the interval limits.

To find the area of the region R, we need to integrate the function y = 1/(x ln(x))² with respect to x over the interval x≥3.

Let's first find the indefinite integral

∫ 1/(x ln(x))₂ dx = ∫ u₂ du [where u = ln(x)]

= - u⁻¹ + C

= - ln(x)⁻¹ + C

Now, to find the definite integral, we need to evaluate this expression at the upper and lower bounds of the interval x≥3

[tex]\int\limits^ \infty} _3[/tex]1/(x ln(x))² dx = [- ln(x)⁻¹[tex]]^ \infty} _3[/tex]

= [- ln(∞)⁻¹] - [- ln(3)⁻¹]

= 0 - (-1/ln(3))

= 1/ln(3)

Therefore, the area of the region R is 1/ln(3) square units.

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