evaluate the integral. 6 (x2 2x − 7) dx 4

The statement " If the dataset does not meet the independence condition for the ANOVA model, a transformation might improve the situation." is true because a transformation might help improve independence in the dataset for the ANOVA model.

In statistical hypothesis testing, ANOVA (Analysis of Variance) is a widely used method to compare the means of three or more groups. One of the assumptions of ANOVA is that the data within each group should be independent of each other. If this assumption is violated, it can lead to biased results or incorrect conclusions.

In such cases, a transformation of the data might help meet the independence condition. A common transformation is the Box-Cox transformation, which can help stabilize the variance of the data and make it more normal.

Thus, the given statement is true.

However, it's important to note that a transformation is not always the best solution, and it's essential to check the assumptions thoroughly before performing any statistical analysis.

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The formula for the term dK/dt is,

⇒ dK/dt = m v dv/dt

Since, We have to given that;

An object of mass has velocity b, then its kinetic energy K is given by,

⇒ K = 1/2 × m × v²

Where, v is a function of time t.

Now, We can differentiate it with respect to t as;

⇒ K = 1/2 × m × v²

⇒ dK/ dt = 1/2 × m × d/dt (v²)

⇒ dK/dt  = 1/2 × m × 2v × dv/dt

⇒ dK/dt = m × v × dv/dt

⇒ dK/dt = m v dv/dt

Therefore, After differentiate it with respect to t formula for the term dK/dt is,

⇒ dK/dt = m v dv/dt

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Answer:

16

Step-by-step explanation:

First, find the midpoint of the lengths you have. Then multiply by the frequency.

so:

5x5= 25

15x8= 120

25x7= 175

Then add all the numbers you got.

So:

25+120+175= 320

Add all the frequencies: 5+8+7= 20

Answer: 320/20= 16

The shortest possible route to solve the TSP for 5 cities using this distance matrix is A -> D -> C -> E -> B -> A, with a total distance of 240.

To solve the TSP for 5 cities using this distance matrix, we need to find the shortest possible route that visits each city exactly once and returns to the starting city.
The distance matrix provides us with the distance between each pair of cities. We can use this information to create a graph where each city is a node, and the distance between two cities is the weight of the edge connecting them.
Using this graph, we can apply a TSP algorithm to find the shortest route. One popular algorithm is the Held-Karp algorithm, which uses dynamic programming to find the optimal solution.
In this case, the optimal solution is: A -> D -> C -> E -> B -> A, with a total distance of 240.

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The expression α − β represents the difference between the two zeroes of the quadratic polynomial f(x).

To evaluate α − β, we need to find the values of α and β. In a quadratic polynomial of form ax^2 + bx + c, the zeroes (or roots) α and β can be found using the quadratic formula: x = (-b ± √(b^2 - 4ac)) / (2a).

Given that the quadratic polynomial is f(x) = ax^2 + bx + c, the zeroes α and β satisfy the equation f(α) = 0 and f(β) = 0.

Substituting α and β into the polynomial, we get:

f(α) = aα^2 + bα + c = 0,

f(β) = aβ^2 + bβ + c = 0.

We can rearrange these equations to isolate the term involving the difference α − β:

f(α) - f(β) = a(α^2 - β^2) + b(α - β) = 0.

Factoring out (α - β) from the equation, we have:

(α - β)(a(α + β) + b) = 0.

Since we know that f(x) = ax^2 + bx + c, the sum of the zeroes α + β is given by:

α + β = -b/a.

Substituting this value into the previous equation, we have:

(α - β)(-b + b) = 0,

(α - β)(0) = 0.

Therefore, α - β = 0.

The final answer is α - β = 0, indicating that the difference between the zeroes of the quadratic polynomial is zero, implying that the zeroes are equal.

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The smaller the value of k in the moving averages method and the larger the value of α in the exponential smoothing method, the better the forecasting accuracy.

This is because a smaller k value places more weight on recent data points, while a larger α value places more weight on the most recent data points.

This allows for a better prediction of future trends and patterns in the data. However, it is important to note that finding the optimal values for these parameters may require some trial and error and may vary depending on the specific dataset being analyzed.

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The area of the rectangle formed by connecting the points A(-4, -1), B(6, -1), C(6, 4), and D(-4, 4) is 50 square units.

Calculate the length of the rectangle by finding the difference between the x-coordinates of points A and B (6 - (-4) = 10 units).

Calculate the width of the rectangle by finding the difference between the y-coordinates of points A and D (4 - (-1) = 5 units).

Calculate the area of the rectangle by multiplying the length and width: Area = length * width = 10 * 5 = 50 square units.

Therefore, the area of the rectangle formed by the points A(-4, -1), B(6, -1), C(6, 4), and D(-4, 4) is 50 square units. So, the correct answer is B. 50 square units.

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45.A possible formula for the rational function with zeros at x=2 and x=3, a vertical asymptote at x=5, and a horizontal asymptote of y=-3 is:

f(x) = -3 + (x-2)(x-3)/(x-5)

Note that when x approaches 5, the numerator approaches 3, and the denominator approaches 0, so the function has a vertical asymptote at x=5. When x approaches infinity or negative infinity, the term (x-2)(x-3)/(x-5) approaches x^2/x = x, so the function has a horizontal asymptote of y=-3.

46.A possible formula for the rational function with vertical asymptotes at x=2 and x=3, a horizontal asymptote of y=0, and a crossing of the x-axis at x=5 is:

g(x) = k(x-5)/(x-2)(x-3)

where k is a constant that can be determined by the fact that the graph of g crosses the x-axis at x=5. Since the function has a vertical asymptote at x=2, we know that the factor (x-2) appears in the denominator.

Similarly, since the function has a vertical asymptote at x=3, we know that the factor (x-3) appears in the denominator. The factor (x-5) appears in the numerator because the graph crosses the x-axis at x=5. Finally, the function has a horizontal asymptote of y=0, which means that the numerator cannot have a higher degree than the denominator.

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Answer: A

Step-by-step explanation:

$3.60 (10%)

3.60 ÷ 2 =

1.80 (5%)

(10 + 5 = 15%)

$3.60 + $1.80 = $5.40

1. The probability is approximately 0.1823.

2. The probability that the 12 exams are not all from the same section is 0.6756

1. The probability that exactly 5 of the 12 exams are from Section B is:

P(X = 5) = (12 choose 5) * 0.6 × 0.6⁴ * (1 - 0.6)⁷

= 0.1823

2.  The probability that all 12 exams are from the same section is:

P(all from A) + P(all from B) = (20/50)¹² + (30/50)¹²

≈ 0.0132 + 0.3112

≈ 0.3244

Therefore, the probability that the 12 exams are not all from the same section is:

P(not all from same section) = 1 - P(all from same section)

≈ 1 - 0.3244

≈ 0.6756

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The length of the hypotenuse of the triangle is 5 mm.

Given is a right triangle with length of the two legs 4 mm and 3 mm we need to find the measure of the hypotenuse of the right triangle,

Using the Pythagorean theorem, which says that the measure of the hypotenuse of a right triangle is equal to the sum of the square of the two legs,

So,

h = √4²+3²

h = √16+9

h = √25

h = 5

Hence the length of the hypotenuse of the triangle is 5 mm.

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The probability of rolling a single six-sided die and getting a prime number (2, 3, or 5) is 1/2.

The probability of rolling a single six-sided die and getting a prime number (2, 3, or 5) can be found by counting the number of possible outcomes that meet the condition and dividing by the total number of possible outcomes.

There are three prime numbers on a six-sided die, so there are three possible outcomes that meet the condition.

The total number of possible outcomes on a six-sided die is six since there are six numbers (1 through 6) that could come up.

So, the probability of rolling a single six-sided die and getting a prime number is 3/6, which simplifies to 1/2.

Therefore, the answer to your question is 1/2.

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The system of equations has an answer of x = 255/13 and y = -9/13.

1/3x - 2/3y = 7 to solve the system of equations.

2/3x + 3y = 11

We can employ a number of techniques, like substitution or removal.

Let's use elimination to solve the system in this case.

We can multiply both equations by the denominators' least common multiple (LCM), which in this case is 3 to eliminate the fractions.

By doing so, we may eliminate the fractions and make the equations simpler.

The result of multiplying the first equation by 3 is:

[tex]3\times (1/3x - 2/3y) = 3 \times 7[/tex]

This simplifies to:

x - 2y = 21

Multiplying the second equation by 3 gives us:

[tex]3 \times (2/3x + 3y) = 3 \times 11[/tex]

This simplifies to:

2x + 9y = 33

Now we have the system of equations:

x - 2y = 21

2x + 9y = 33

To eliminate x, we can multiply the first equation by 2 and the second equation by -1, which gives us:

[tex]2(x - 2y) = 2 \times 21[/tex]

[tex]-1(2x + 9y) = -1 \times 33[/tex]

That amounts to:

2x - 4y = 42 -2x - 9y = -33

The two equations are combined to remove x:

(2x - 4y) + (-2x - 9y) = 42 + (-33)

When we simplify the equation, we get:

-13y = 9

We discover y = -9/13 after solving for it.

Now that we know what y is worth, we can add it back into one of the initial equations to find x.

Let's employ the first equation:

1/3x - 2/3(-9/13) = 7

When we simplify the equation, we get:

1/3x + 6/13 = 7

6/13 from both sides are subtracted, giving us:

1/3x = 7 - 6/13

In order to find a common factor, we have:

1/3x = 91/13 - 6/13

Putting the two together gets us:

1/3x = 85/13

The result of multiplying both sides by 3 is x = 255/13.

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It is not possible to accurately estimate the probability that a person will call when you're thinking of them as it is a subjective experience that cannot be quantified. However, we can consider some general factors that may affect the probability:

Likelihood of thinking of the person: This is highly dependent on individual circumstances and varies greatly between people. Some factors that may increase the likelihood include how close you are to the person, how often you interact with them, and recent events or memories involving them.

Likelihood of the person calling: This also depends on individual circumstances and varies based on factors such as the person's availability, their likelihood of initiating communication, and external factors that may prompt them to call.

Assuming both events are independent, we can estimate the combined probability as the product of the individual probabilities:

P(thinking of a person) * P(person calls)

However, since we cannot accurately estimate these probabilities, any calculated value would be purely speculative.

If the combined events were to occur once, it would not necessarily provide compelling evidence that the event was not merely a chance occurrence. However, if it happened multiple times in a day, the probability of it being a chance occurrence would decrease significantly, and it may be reasonable to suspect that there is some underlying factor influencing the events. However, it is still important to consider that coincidences do happen, and it is possible for unrelated events to occur together multiple times.

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The emission of an alpha particle, positron, or electron through the radioactive decay of a nucleus always leads to a change in the atomic number of the atom. Therefore, the correct answer is: All of the above.

Alpha particles are composed of two protons and two neutrons, so when an alpha particle is emitted from a nucleus, the atomic number decreases by two.

Positrons are antiparticles of electrons, and their emission from a nucleus leads to a decrease in the number of protons and an increase in the number of neutrons, resulting in a change in the atomic number.

Electron emission, also known as beta-minus decay, occurs when a neutron in the nucleus of an atom decays into a proton, an electron, and an antineutrino. The electron is then emitted from the nucleus, and the atomic number of the atom increases by one, while the mass number remains the same.

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Answer:

1/12

Step-by-step explanation:

The probability of rolling a two is

P(2) = number of twos/ total

        =1/6

The probability of landing on tails

P(tails) = tails/total

             =1/2

P(2, tails) = P(2)  *  P(tails)  since they are independent events

               = 1/6 * 1/2

                 =1/12

There would be a total of 28 handshakes between the 3 latecomers and the initial group of 5 members.

To calculate the number of combinations, we use the formula:

C(n, r) = n! / (r!(n-r)!)

where "n" represents the total number of items (in this case, people), and "r" represents the number of items to be chosen (in this case, 2 for a handshake).

Let's apply this formula to our scenario. We have 3 latecomers and 5 initial members. We want to select 2 people to form a handshake. Plugging these values into the combination formula, we get:

C(8, 2) = 8! / (2!(8-2)!)

= 8! / (2!6!)

To simplify the calculation, let's break down the factorial terms:

8! = 8 * 7 * 6 * 5 * 4 * 3 * 2 * 1

2! = 2 * 1

6! = 6 * 5 * 4 * 3 * 2 * 1

Now we can substitute these factorial terms back into the combination formula:

C(8, 2) = (8 * 7 * 6 * 5 * 4 * 3 * 2 * 1) / [(2 * 1) * (6 * 5 * 4 * 3 * 2 * 1)]

Simplifying further:

C(8, 2) = (8 * 7) / (2 * 1)

= 56 / 2

= 28

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The correct interpretation of the 95% confidence interval for Preston's analysis is that it is a range of values constructed such that there is 95% confidence that the mid-term test score for a randomly selected high school student who studies for 6 hours lies within that range.

This means that if the analysis is repeated multiple times, 95% of the intervals produced would contain the true population mean mid-term test score for students who study for 6 hours. It is important to note that the confidence interval is not a guarantee that the true population mean falls within the interval. Rather, it provides a level of confidence that it is likely to contain the true population mean. Additionally, the interval does not capture the mid-term test scores of 95% of the students in the population when the amount of time spent studying is 6 hours, nor does it predict the mean mid-term test score for students who study 6 hours with 95% probability. In summary, the 95% confidence interval for Preston's analysis represents a range of values within which we can be 95% confident that the true population mean mid-term test score for high school students who study for 6 hours falls.

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Melissa will have deposited approximately $1,286,100 by year 30.

To determine how much Melissa will have deposited by year 30, we need to apply the formula for the future value of an annuity. The formula is:FV = P * ((1 + r) ^ n - 1) / rwhere:FV is the future value of the annuityP is the periodic paymentr is the interest raten is the number of periodsIn this case, the periodic payment is $7,500 per year, the interest rate is 6%, and the number of periods is 30. So, we can plug in the values:FV = 7500 * ((1 + 0.06) ^ 30 - 1) / 0.06Simplifying the equation:FV = 7500 * ((1.06) ^ 30 - 1) / 0.06FV = 7500 * (10.2868 - 1) / 0.06FV = 7500 * 171.4467FV = 1,286,100Therefore, Melissa will have deposited approximately $1,286,100 by year 30.

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The prices for each item are given as follows:

The prices are obtained with a system of equations, for which the variables are given as follows:

From the first row of the table, we have that:

40x + 32y = 74.

Simplifying by 32, we have that:

1.25x + y = 2.3125

y = 2.3125 - 1.25x.

From the second row, we have that:

20x + 25y = 43.75.

Replacing the first equation into the second, the value of x is obtained as follows:

20x + 25(2.3125 - 1.25x) = 43.75

11.25x = 14.0625

x = 14.0625/11.25

x = 1.25.

Then the value of y is obtained as follows:

y = 2.3125 - 1.25(1.25)

y = 0.75.

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The drive-thru is able to estimate their wait time more consistently will be Fast Chicken, because it has a smaller IQR.

In descriptive statistics, the interquartile range tells you the spread of the middle half of the distribution. Quartiles segment any distribution that’s ordered from low to high into four equal parts. The interquartile range (IQR) contains the second and third quartiles, or the middle half of the data set.

The correct option here is Fast Chicken, because it has a smaller IQR (Interquartile Range). IQR is the difference between the third quartile and the first quartile, which is represented by the box in the box plot. In this case, the IQR for Fast Chicken is 14.5 - 10 = 4.5, while the IQR for Super Fast Food is 15.5 - 8.5 = 7. A smaller IQR indicates that the data is more consistent and less spread out.

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The set of all real numbers that have a repeating decimal expansion is a countable set

Let d1, d2, d3, ..., dn be the digits of the repeating block of a repeating decimal. Then we can write the repeating decimal as:

0.d1d2d3...dn(d1d2d3...dn)...

where the digits d1, d2, d3, ..., dn repeat infinitely. We can also represent this number as a fraction, by noting that:

[tex]0.d1d2d3...dn(d1d2d3...dn)... = (d1d2d3...dn) / 10^n + (d1d2d3...dn) / (10)^{2n} + (d1d2d3...dn) / 10^{3n} + ...[/tex]

Using this representation, we can see that each repeating decimal corresponds to a unique fraction. Therefore, to show that the set of all repeating decimals is countable, we need to show that the set of all fractions of the form:

[tex](d1d2d3...dn) / 10^n + (d1d2d3...dn) / 10^{2n} + (d1d2d3...dn) / 10^{3n} + ...[/tex]

is countable.

To do this, we can list all possible values of n and all possible repeating blocks d1d2d3...dn. For each value of n and each repeating block, there are only finitely many possible fractions of the above form. Therefore, we can list all such fractions in a sequence by listing all the fractions with n=1 and d1 = 0, then all the fractions with n=1 and d1 = 1, then all the fractions with n=1 and d1 = 2, and so on, and then moving on to n=2 and repeating the same process.

Since there are only countably many values of n and finitely many choices for each repeating block, the set of all repeating decimals is countable. Therefore, the set of all real numbers that have a repeating decimal expansion is also countable, since it is a subset of the set of all repeating decimals.

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The relation R on P(X) defined as (Y,Z) is in R if and only if Y C Z has the following properties:

a. Reflexive: Yes, R is reflexive as for any set Y in P(X), Y C Y is always true.
b. Irreflexive: No, R is not irreflexive as there exist sets Y in P(X) such that Y is a proper subset of itself and therefore (Y,Y) is not in R.
c. Symmetric: No, R is not symmetric as there exist sets Y, Z in P(X) such that Y is a proper subset of Z and (Y,Z) is in R, but (Z,Y) is not in R.
d. Antisymmetric: Yes, R is antisymmetric as for any sets Y, Z in P(X) if (Y,Z) and (Z,Y) are in R, then Y = Z.
e. Transitive: Yes, R is transitive as for any sets Y, Z, W in P(X), if (Y,Z) and (Z,W) are in R, then (Y,W) is also in R since Y C Z and Z C W imply that Y C W.

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The values of b for which the given inequality will be satisfied are: b = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9 , 10, 11, 12}

The given inequality which shows the status of the purchase by Amy and her friends is,

0.89 b + 1.82 ≤ 12.50

where b is the number of burgers they can purchase.

Solving the given inequality we get,

0.89 b + 1.82 - 1.82 ≤ 12.50 - 1.82 [Subtracting 1.82 from both sides]

0.89 b ≤ 10.68

(0.89 b)/0.89 ≤ 10.68/0.89 [Dividing 0.89 with both sides]

b ≤ 12

since b represents the number of burgers so it cannot be negative or fraction.

So the values for which the inequality will be satisfied are: b = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9 , 10, 11, 12}.

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The question is incomplete. Complete question will be -

There are 1,680 different ways to select the officers for your club.

To determine the number of ways you can select officers for your club, you'll need to use the concept of permutations.

In this case, there are 8 members and you need to choose 4 positions (president, vice president, secretary, and treasurer).

The number of ways to arrange 8 items into 4 positions is given by the formula:

P(n, r) = n! / (n-r)!

where P(n, r) represents the number of permutations, n is the total number of items, r is the number of positions, and ! denotes a factorial.

For your situation:

P(8, 4) = 8! / (8-4)! = 8! / 4! = (8 × 7 × 6 × 5 × 4 × 3 × 2 × 1) / (4 × 3 × 2 × 1) = (8 × 7 × 6 × 5) = 1,680

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Answer:6 inches

Step-by-step explanation:

Step-by-step explanation:

50x 9 = 450.

She needs 437. She would have 450 if she saved 50 a month for 9 months. So yup, she would have enough!

The eigenvalues of the coefficient matrix a(t) are 5,1,-1.

To find the eigenvalues of the coefficient matrix, we need to first form the coefficient matrix A by taking the partial derivatives of the given system of differential equations with respect to x, y, and z. This gives us:

A = [y, x, -1; 0, 5, 0; 0, 1, -1]

Next, we need to find the characteristic equation of A, which is given by:

det(A - λI) = 0

where I is the identity matrix and λ is the eigenvalue we are trying to find.

We can expand this determinant to get:

(λ - 5)(λ - 1)(λ + 1) = 0

Therefore, the eigenvalues of the coefficient matrix are λ = 5, λ = 1, and λ = -1.

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The plot represents the relationship between the weight of an athlete on the x-axis and the amount of weight they lift on a bench press machine on the y-axis. It provides a visual representation of the data, allowing for analysis of patterns and trends in the relationship between weight and lift amount.

The plot provides a visual representation of the relationship between two variables: the weight of an athlete (independent variable) and the amount of weight they can lift on a bench press machine (dependent variable). The x-axis represents the weight of the athlete, while the y-axis represents the amount of weight lifted. Each point on the plot corresponds to a specific athlete and shows their weight and the corresponding lift amount. By examining the plot, we can observe patterns or trends in the data, such as whether there is a positive correlation between weight and lift amount (indicating that heavier athletes tend to lift more) or if there are any outliers or exceptions to the general trend. The plot helps to visualize the relationship between these two variables and provides insights into the performance of athletes on the bench press machine based on their weight.

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To find the horizontal asymptote(s) for the given function, we need to examine the behavior of the function as x approaches positive or negative infinity.

Let's denote the given function as f(x). We are given f(x) = 5x^2 / (6x - 8).

To find the horizontal asymptote(s), we can take the limit of the function as x approaches positive or negative infinity.

As x approaches positive infinity (x → +∞):

Taking the limit of f(x) as x approaches positive infinity:

lim(x → +∞) (5x^2) / (6x - 8)

To determine the horizontal asymptote, we can divide the leading terms of the numerator and denominator by the highest power of x, which in this case is x^2:

lim(x → +∞) (5x^2/x^2) / (6x/x^2 - 8/x^2)

lim(x → +∞) 5 / (6 - 8/x^2)

As x approaches infinity, 1/x^2 approaches 0, so we have:

lim(x → +∞) 5 / (6 - 0)

lim(x → +∞) 5 / 6

Therefore, as x approaches positive infinity, the function f(x) approaches the horizontal asymptote y = 5/6.

As x approaches negative infinity (x → -∞):

Taking the limit of f(x) as x approaches negative infinity:

lim(x → -∞) (5x^2) / (6x - 8)

Again, let's divide the leading terms of the numerator and denominator by x^2:

lim(x → -∞) (5x^2/x^2) / (6x/x^2 - 8/x^2)

lim(x → -∞) 5 / (6 - 8/x^2)

As x approaches negative infinity, 1/x^2 also approaches 0:

lim(x → -∞) 5 / (6 - 0)

lim(x → -∞) 5 / 6

Therefore, as x approaches negative infinity, the function f(x) also approaches the horizontal asymptote y = 5/6.

In conclusion, the given function has a horizontal asymptote at y = 5/6 as x approaches positive or negative infinity

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