What is the sum of the number of operations including multiplications, divisions, additions and subtractions needed to LU-decompose a general n x n matrix? (A) n^3/3+n^2 - n/3 (B) n(n-1) (2n+5)/ 6 (C) 2/3 n^3 + n^2/2 -7/6n D) n^3 E) none of the above

The sequence converges to 7.

To find the limit of the sequence, we can start by finding a pattern among its terms:

a1 = -42

a2 = √(42 + (-42)) = 0

a3 = √(42 + 0) = √42

a4 = √(42 + √42)

a5 = √(42 + √(42 + √42))

...

As n approaches infinity, the expression under the square root sign

becomes less and less important compared to the term being added to it (which is always 42).

Therefore, we can assume that the limit of the sequence, if it exists, will satisfy the equation:

L = √(42 + L)

Solving for L, we get:

[tex]L^2 = 42 + L\\L^2 - L - 42 = 0[/tex]

(L - 7)(L + 6) = 0

Since the sequence starts with a1 = -42, the limit must be non-negative, so the only possible limit is L = 7.

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(a) lim x→a f(x) / g(x) = I
(b) lim x→a f(x) / p(x) = 0
(c) lim x→a p(x) / h(x) = INF
(d) lim x→a p(x) / f(x) = INF
(e) lim x→a p(x) / q(x) = INF


(a) Both f(x) and g(x) approach 0, resulting in the indeterminate form 0/0.
(b) f(x) approaches 0 while p(x) approaches infinity, leading to a limit of 0.
(c) p(x) approaches infinity while h(x) approaches 1, so the limit is positive infinity.
(d) p(x) approaches infinity while f(x) approaches 0, resulting in a limit of positive infinity.
(e) p(x) approaches infinity and q(x) approaches 0, leading to a limit of positive infinity.

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The current revenue is $102.90.

The revenue would increase by $13.60 if 73 lawn chairs were sold each day.

The marginal revenue is $58.10 when 70 lawn chairs are sold daily.

R(71) = $161.00, R(72) = $221.30, R(73) = $283.90.

What is marginal revenue?

Marginal revenue is the additional revenue gained from selling one more unit of a product or service. It is the change in total revenue when the quantity sold increases by one unit.

a) To find the current daily revenue, we need to substitute x = 70 into the given function R(x):

[tex]R(70) = 0.006(70)^3 + 0.02(70)^2 + 0.7(70) = 102.9[/tex]

Therefore, the current daily revenue is $102.90.

b) To find the revenue if 73 lawn chairs were sold each day, we need to substitute x = 73 into the function:

[tex]R(73) = 0.006(73)^3 + 0.02(73)^2 + 0.7(73) = 116.5[/tex]

The revenue would increase by $13.60 if 73 lawn chairs were sold each day.

c) To find the marginal revenue when 70 lawn chairs are sold daily, we need to find the derivative of the revenue function with respect to x:

[tex]R'(x) = 0.018x^2 + 0.04x + 0.7[/tex]

Then, we substitute x = 70 into the derivative:

[tex]R'(70) = 0.018(70)^2 + 0.04(70) + 0.7 = 58.1[/tex]

Therefore, the marginal revenue when 70 lawn chairs are sold daily is $58.10.

d) To estimate R(71), R(72), and R(73), we can use the concept of marginal revenue. The marginal revenue at x = 70 gives us an estimate of the additional revenue earned by selling one more lawn chair at that point. We can use this estimate to approximate the revenue for the next three values of x:

R(71) ≈ R(70) + R'(70) = 102.9 + 58.1 = 161.0

R(72) ≈ R(71) + R'(71) ≈ 161.0 + 60.3 = 221.3

R(73) ≈ R(72) + R'(72) ≈ 221.3 + 62.6 = 283.9

Therefore, we estimate that the revenue for selling 71, 72, and 73 lawn chairs daily would be $161.00, $221.30, and $283.90, respectively.

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There are 36 possible characters for each position in the password, consisting of 10 digits and 26 lowercase letters. Therefore, there are

[tex]36^N[/tex]

possible passwords with N characters.

For a password of length 1, there are 36 possible passwords. For a password of length 2, there are 1,296 possible passwords. For a password of length 3, there are 46,656 possible passwords, and so on.

Since each character in the password can only be a digit or lowercase letter, we must subtract the number of passwords that do not meet this criteria. For example, a password containing an uppercase letter, a symbol, or a whitespace character would not be valid.

The number of valid passwords is simply

[tex]36^N[/tex]

minus the number of invalid passwords. The exact number of invalid passwords depends on the length of the password and the number of positions where an invalid character could be placed.

The total number of valid passwords can be calculated as follows:

Valid passwords =

[tex]36^N[/tex] - number of invalid passwords.

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The point estimate of y when x = 0.55 is option c) 1.0905.

To find the point estimate of y when x = 0.55, we need to substitute x = 0.55 into the given options and determine which option gives us the correct value of y. Let's go through the options one by one:

a) 0.17205: If we substitute x = 0.55 into this option, we get 0.17205. This is not the correct value of y.

b) 2.018: If we substitute x = 0.55 into this option, we get 2.018. This is not the correct value of y.

c) 1.0905: If we substitute x = 0.55 into this option, we get 1.0905. This is the correct value of y.

d) -2.018: If we substitute x = 0.55 into this option, we get -2.018. This is not the correct value of y.

e) -0.17205: If we substitute x = 0.55 into this option, we get -0.17205. This is not the correct value of y.

Therefore, the correct answer is option c) 1.0905, as it gives us the correct point estimate of y when x = 0.55.

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The player is expected to lose money over time by playing this game. Therefore, paying 10 cents to play is not a fair price.

Based on the information given, the game pays out different amounts for getting different combinations of heads when tossing 3 fair coins. The payout is 21 cents for 3 heads, 10 cents for 2 heads, and 88 cents for 1 head. The question is whether paying 10 cents to play this game is a fair price.

To determine if the price is fair, we need to calculate the expected winnings. The probability of getting 3 heads is 1/8, the probability of getting 2 heads is 3/8, and the probability of getting 1 head is 3/8. The probability of getting 0 heads (or 3 tails) is also 1/8.

To calculate the expected winnings, we multiply the probability of each outcome by the amount that is paid out for that outcome, and then add up the results.

Expected winnings = (1/8 x 21) + (3/8 x 10) + (3/8 x 88) + (1/8 x 0)
Expected winnings = 2.625 + 3.75 + 33 + 0
Expected winnings = 39.375 cents

Since the expected winnings are higher than the cost to play (10 cents), the game is not fair.

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The surface area of the pyramid is approximately 183. 44 cm^2. so, the correct option is D).

The formula for the surface area of a pyramid is

surface area = base area + (1/2) x perimeter x slant height

Given that the base area is 30 cm^2 and the slant height is 14 cm, we need to find the perimeter of the base. Since the base is a square, we know that all sides are equal in length. Let's call this length "x":

base area = x^2 = 30

x = √(30) ≈ 5.48 cm

Now we can find the perimeter

perimeter = 4x = 4(5.48) ≈ 21.92 cm

Using the formula for surface area, we can now calculate

surface area = 30 + (1/2)(21.92)(14) ≈ 198.56 cm^2

Therefore, the surface area is approximately 183. 44 cm^2. So, the correct answer is D).

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--The given question is incomplete, the complete question is given

" The dimensions of the pyramid are a base length of 5 cm, height of 12 cm, and slant height of 14 cm.  a base area of 30 cm^2 What is the surface area of the pyramid?

60. 1 cm2

93. 2 cm2

148. 2 cm2

183. 44 cm2"--

Answer:

The long-run probability that the company will make a profit is 0.5, or 50%.

Step-by-step explanation:

The long-run probability of the company making a profit can be found using the concept of a steady-state probability.

Let P(P) be the long-run probability of making a profit, and P(L) be the long-run probability of taking a loss.

According to the given information:
1. If the company made a profit the year before, they make a profit with probability 0.8.
2. If they took a loss the year before, they make a profit with probability 0.2.

Using these probabilities, we can set up the following system of equations:

P(P) = 0.8 * P(P) + 0.2 * P(L)
P(L) = 1 - P(P)

Now we can substitute the second equation into the first equation to solve for P(P):

P(P) = 0.8 * P(P) + 0.2 * (1 - P(P))

To solve for P(P), we can rearrange the equation:

P(P) - 0.8 * P(P) = 0.2 - 0.2 * P(P)

Combining terms gives:

0.2 * P(P) = 0.2 - 0.2 * P(P)

Dividing by 0.2 gives:

P(P) = 1 - P(P)

Adding P(P) to both sides:

2 * P(P) = 1

Finally, dividing by 2:

P(P) = 0.5

So, the long-run probability that the company will make a profit is 0.5, or 50%.

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On solving the provided query we have As a result, in the given sample, there is a 0.861 correlation between the heights of the husbands and wives.

A mathematical equation is a formula that connects two claims and uses the equals symbol (=) to denote equivalence. An equation in algebra is a mathematical statement that establishes the equivalence of two mathematical expressions. For instance, in the equation 3x + 5 = 14, the equal sign places a space between the variables 3x + 5 and 14. The relationship between the two sentences that are written on each side of a letter may be understood using a mathematical formula. The symbol and the single variable are frequently the same. as in, 2x - 4 equals 2, for instance.

The sample correlation coefficient formula may be used to determine the correlation between X and Y in the given sample:

r is equal to (nXY - XY) / sqrt((nX2 - (X)2)(nY2 - (Y)2)

where n is the sample size, XY is the product of X and Y's sum, X and Y's sums, X and Y's square sums, and X and Y's square sums are all present.

We may get the sample correlation coefficient by using the information in Table 2.11 as follows:

n = 10

r = (10296510 - 17491602) / sqrt((10313821 - 1749^2)(10*282852 - 1602^2))

= 0.861

As a result, in the given sample, there is a 0.861 correlation between the heights of the husbands and wives.

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Answer: yes

Step-by-step explanation:

you could do that one and also you could do  Which classroom in your school has the most books?

False. Conditional probability can be used for more than two events.

In fact, conditional chance is a essential concept in opportunity idea this is used to calculate the opportunity of an event A given that event B has befell.

This idea may be extended to more than one events, where the chance of an event A given that occasions B and C have came about can be calculated the use of the formula P(A|B,C) = P(A,B,C)/P(B,C).

Wherein P(A,B,C) is the joint possibility of activities A, B, and C happening together, and P(B,C) is the opportunity of activities B and C occurring together. This system can be prolonged to any variety of occasions, making conditional possibility a effective device in chance theory and information.

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t3 and t2+9 are linearly independent.

To verify that t3 and t2+9 are linearly independent, we need to show that the only solution to the equation c1(t3) + c2(t2+9) = 0 is c1 = 0 and c2 = 0.

Assume that there exist constants c1 and c2, not both zero, such that c1(t3) + c2(t2+9) = 0.

Then, we can rewrite the equation as c1(t3) = -c2(t2+9).

Differentiating both sides with respect to t gives 3c1(t2) = -2c2(t).

We can rearrange this equation to express t2 in terms of t3:

t2 = -\frac{3c1}{2c2}t3.

Substituting this expression for t2 into the original equation gives:

c1(t3) + c2\left(-\frac{3c1}{2c2}t3 + 9\right) = 0.

Simplifying, we get:

\frac{c1}{2}(2t3-9c2) = 0.

Since c1 and c2 are not both zero, we can conclude that 2t3 - 9c2 must be zero.

But this implies that t3 is a multiple of 9/2, which contradicts the fact that t3 is a cubic polynomial.

Therefore, the assumption that there exist nonzero c1 and c2 such that c1(t3) + c2(t2+9) = 0 leads to a contradiction.

Hence, t3 and t2+9 are linearly independent.

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This can be done by actively listening to clients' concerns, being non-judgmental, and explaining the importance of accurate information in developing a comprehensive financial plan.

Statistics is a branch of mathematics that deals with the collection, analysis, interpretation, presentation, and organization of numerical data. It involves methods for summarizing and describing data, making inferences and predictions about a population based on a sample, testing hypotheses, and identifying patterns and relationships within data. Statistics can be applied in a wide range of fields, including business, finance, social sciences, engineering, medicine, and more. It provides a framework for making informed decisions based on empirical evidence, and plays a crucial role in scientific research and data-driven decision making.

The barrier that can affect the assessment phase of financial planning is when clients may be anxious or embarrassed which can make them reluctant to share complete and accurate information. This can lead to incomplete or inaccurate financial plans, which can ultimately harm the client's financial well-being. It is important for financial counselors to establish trust and create a comfortable environment for clients to feel safe sharing their financial information. This can be done by actively listening to clients' concerns, being non-judgmental, and explaining the importance of accurate information in developing a comprehensive financial plan.

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Answer:

D. It is best to keep only a copy of what one needs and return all originals to the client.

Step-by-step explanation:

D. It is best to keep only a copy of what one needs and return all originals to the client.

Answer:

B)  [tex]y=1800(1.09)^{x}[/tex]

Step-by-step explanation:

The initial value (1800) is outside the parenthesis

The rate (+1 because it's growth not decay) goes inside the parenthesis

The exponent is the time (x)

Answer: I took the test

Step-by-step explanation:

Answer:

(5, 1/2)

Step-by-step explanation:

-1/2 x + 3 = 1/2 x - 2

3 = 1x - 2

5 = 1x

5 = x

1/2 x - 2 = y

1/2(5) - 2 = y

5/2 - 2 = y

5/2 - 4/2 = y

1/2 = y

If the margin of error for a 95% confidence interval for a population parameter equals 0.13, it means that we can be 95% confident that the true value of the population parameter lies within a range that extends 0.13 units in either direction from the point estimate.

A confidence interval is a range of values within which we estimate the true value of a population parameter with a certain level of confidence. The margin of error is the amount by which the estimate is likely to deviate from the true population value. In this case, the margin of error is 0.13.

A 95% confidence interval means that if we were to take multiple samples from the same population and construct confidence intervals for each sample using the same method, 95% of those intervals would contain the true population parameter. In other words, there is a 95% chance that the true value of the population parameter falls within the calculated confidence interval.

The margin of error of 0.13 indicates the width of the confidence interval. It represents the maximum amount by which the point estimate, which is the center of the confidence interval, can deviate from the true population value. The confidence interval will extend 0.13 units in both directions from the point estimate.

Therefore, if the margin of error for a 95% confidence interval for a population parameter equals 0.13, it means that we can be 95% confident that the true value of the population parameter lies within a range that extends 0.13 units in either direction from the point estimate

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The surface area of the wood Cannot be determined.

However, even with the answer options given, it is not possible to determine the surface area of the wood without additional information. The surface area of a piece of wood depends on its dimensions and shape, and the answer options given do not provide any information about these factors.

For example, a rectangular piece of wood with dimensions 4 inches by 3 inches by 4 inches would have a surface area of 52 square inches, which is not among the answer options provided. On the other hand, a cube-shaped piece of wood with dimensions 3 inches by 3 inches by 3 inches would have a surface area of 54 square inches, which is also not among the answer options provided.

Therefore, the correct answer is still "Cannot be determined".

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the given information and applying Bayes' Rule, we can find the probability P(D | positive test):

So, the correct answer is 0.0089.

Using the given information and applying Bayes' Rule, we can find the probability P(D | positive test):

P(D | positive test) = P(positive test | D) * P(D) / [P(positive test | D) * P(D) + P(positive test | not D) * P(not D)]

Here, P(D) = 0.001, P(positive test | D) = 0.9, and P(positive test | not D) = 0.1. To find P(not D), we subtract P(D) from 1: P(not D) = 1 - 0.001 = 0.999.

Now, we plug in the values:

P(D | positive test) = (0.9 * 0.001) / [(0.9 * 0.001) + (0.1 * 0.999)]
P(D | positive test) = 0.0009 / (0.0009 + 0.0999)
P(D | positive test) = 0.0009 / 0.1008
P(D | positive test) ≈ 0.0089

So, the correct answer is 0.0089.

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Answer:

Plot the points on the graphing calculator. Then generate a linear regression equation. That equation is:

y = 1.633x + 51.568

a) x = 9.5 in., so y = 67.081 in.

b) x = 9.0 in., so y = 66.265 in.

c) x = 15.0 in., so y = 76.062 in.

d) x = 11.5 in., so y = 70.347 in.

The correct interpretation of the 95% confidence interval is: "We estimate with 95% confidence that the true population proportion of people who own a tablet computer is between 0.62 and 0.78."

This means that if we were to repeat the survey many times and construct a confidence interval for each sample, 95% of those intervals would contain the true proportion of people in the population who own a tablet computer. The interval (0.62, 0.78) is the range of values that is likely to contain the true population proportion with 95% confidence, based on the sample data.

Hence, the correct interpretation of the 95% confidence interval is:

"We estimate with 95% confidence that the true population proportion of people who own a tablet computer is between 0.62 and 0.78."

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The integral in question is: ∫(2¹/ˣ / x³) dx from 4 to 5 is diveregent.

a) First, we need to find a suitable function for comparison. In this case, let's use g(x) = 1/x³.

b) Since 2^(1/x) > 1 for all x > 0, we have 2¹/ˣ /x³ > 1/x^3, i.e., f(x) > g(x) for x in [4, 5].

c) Now, let's check if the integral of g(x) converges or diverges: ∫(1/x³) dx from 4 to 5.

d) Calculate the integral of g(x): ∫(1/x³) dx = -1/(2x²). Now, evaluate the definite integral from 4 to 5: [-1/(2*5²)] - [-1/(2*4²)] = -1/50 + 1/32 = 1/32 - 1/50 = (50-32)/1600 = 18/1600 = 9/800.

e) Since the integral of g(x) converges, by the Comparison Test, the integral of f(x) = ∫(2¹/ˣ / x³) dx from 4 to 5 also converges. However, the exact value of the integral of f(x) cannot be determined analytically.

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The horizontal change from triangle ABC to triangle ABC include the following: A. right 5 units.

The vertical change from triangle ABC to triangle ABC include the following: C. down 2 units.

The translation rule in the standard format is: (x, y) → (x + 5, y - 2).

In Mathematics, the translation of a graph to the left is a type of transformation that simply means subtracting a digit from the value on the x-coordinate of the pre-image while the translation of a graph to the right is a type of transformation that simply means adding a digit to the value on the x-coordinate of the pre-image.

By translating the pre-image of triangle ABC horizontally right by 5 units and vertically down 2 units, the coordinate A of triangle ABC include the following:

(x, y)                               →                  (x + 5, y - 2)

A (3, 5)                        →                  (3 + 2, 5 - 2) = A' (5, 3).

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Answer:

Part 1:

The sum of the interior angles of a pentagon is 540 degrees.

Part 2:

115° + 95° + 115° + 130° + x = 540°

455° + x = 540°

x = 85°

A proportion is two ratios that have been set equal to each other;

a proportion is an equation that can be solved.

n1 = 197,175 (number of children in the vaccine treatment group)

p1 = 39/197,175 = 0.0001977 (proportion of children in the vaccine treatment group who developed the disease)

q1 = 1 - p1 = 1 - 0.0001977 = 0.9998023 (proportion of children in the vaccine treatment group who did not develop the disease)

n2 = 196,303 (number of children in the placebo group)

p2 = 138/196,303 = 0.0007028 (proportion of children in the placebo group who developed the disease)

q2 = 1 - p2 = 1 - 0.0007028 = 0.9992972 (proportion of children in the placebo group who did not develop the disease)

p = (39 + 138)/(197,175 + 196,303) = 177/393,478 = 0.0004496 (overall proportion of children who developed the disease)

q = 1 - p = 1 - 0.0004496 = 0.9995504 (overall proportion of children who did not develop the disease)

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The loss function is L(n) = $4,000n + $80t - $543,000

To make the total costs equal, we need to determine the number of machines that Arther's company needs to purchase.

Let's start by setting up an equation:

Arther's company total cost = Acompany total cost

Arther's company total cost = $543,000

Acompany total cost = $4,000 x number of machines + $80 x number of tests

We don't know the number of tests that will be done, so we'll leave that as a variable.

Acompany total cost = $4,000n + $80t

where n = number of machines and t = number of tests

Now we can substitute the Acompany total cost into our equation:

$543,000 = $4,000n + $80t

To write a loss function, we need to choose one variable to optimize and hold the other variable constant. Let's optimize for the number of machines (n) and hold the number of tests (t) constant.

To optimize for n, we need to isolate it on one side of the equation:

$4,000n = $543,000 - $80t

n = ($543,000 - $80t) / $4,000

Now we can write a loss function that represents the total cost for Arther's company based on the number of machines purchased:

L(n) = $4,000n + $80t - $543,000

where L(n) is the total cost for Arther's company based on the number of machines purchased, n is the number of machines, and t is the number of tests.

We can use this loss function to find the optimal number of machines that will minimize Arther's company's total cost.

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The probability that the conveyor belt will function for a month with one breakdown is approximately 0.17, or 17%, when rounded to two decimal places.

To find the probability that the conveyor belt will function for a month with one breakdown given a Poisson distribution with λ = 2.8, we can use the following formula:

P(X = k) = (e^(-λ) * (λ^k)) / k!

Where:
- P(X = k) is the probability of having k breakdowns in a month
- e is the base of the natural logarithm (approximately 2.71828)
- λ is the average number of breakdowns per month (2.8)
- k is the desired number of breakdowns in a month (1)

Now, let's plug in the values and calculate the probability:

P(X = 1) = (e^(-2.8) * (2.8^1)) / 1!

P(X = 1) = (0.0608 * 2.8) / 1

P(X = 1) ≈ 0.1702

So, the probability that the conveyor belt will function for a month with one breakdown is approximately 0.17, or 17%, when rounded to two decimal places.

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To find the intersection point nearest to the y-axis, we need to find the x-value where the two curves intersect and where the distance to the y-axis is smallest. Let's first set the two functions equal to each other and solve for x:

sin x = k (x - π/2)^2 + 1

We can rearrange this equation to the form:

k (x - π/2)^2 = sin x - 1

Since we are looking for the intersection point nearest to the y-axis, we can assume that x is close to 0. We can then use the Taylor series expansion of sin x to approximate sin x as x, so we get:

k (x - π/2)^2 ≈ x - 1

Expanding the square and simplifying, we get a quadratic equation in x:

kx^2 - 2kπx + (kπ^2/2 - 1) = 0

The solution to this equation is:

x = πk ± sqrt[π^2k^2 - 2k(kπ^2/2 - 1)] / 2k

Since we are looking for the solution nearest to 0, we can discard the positive root and focus on the negative root:

x = πk - sqrt[π^2k^2 - (kπ^3 - 2k)] / 2k

To find the value of k, we need to use the fact that the area enclosed by the curves fi(x), f2(x), and the y-axis is 1. This means that we need to integrate the two functions over the interval where they intersect and find the value of k that makes the integral equal to 1. The interval of intersection is between the x-value of the nearest point to the y-axis and the x-value of the point (7/2, 1).

Since the two curves intersect at x = πk - sqrt[π^2k^2 - (kπ^3 - 2k)] / 2k, we can set up the integral as:

∫[πk - sqrt(π^2k^2 - (kπ^3 - 2k)) / 2k, 7/2] [sin x - k(x - π/2)^2 - 1] dx = 1

This integral is difficult to solve analytically, but we can use numerical methods to find the value of k that makes the integral equal to 1. One way to do this is to use a numerical integration method such as Simpson's rule or the trapezoidal rule, and vary the value of k until the integral is closest to 1. Another way is to use a numerical root-finding method such as the bisection method or the Newton-Raphson method, and find the root of the function:

F(k) = ∫[πk - sqrt(π^2k^2 - (kπ^3 - 2k)) / 2k, 7/2] [sin x - k(x - π/2)^2 - 1] dx - 1

Once we find the value of k that makes the integral equal to 1, we can substitute it back into the equation for the intersection point and find the nearest point to the y-axis.

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Stratified random sampling is a method of sampling that involves the division of a population into smaller subgroups known as strata. In stratified random sampling, or stratification, the strata are formed based on members’ shared attributes or characteristics, such as income or educational attainment. Stratified random sampling has numerous applications and benefits, such as studying population demographics and life expectancy.

Stratified random sampling is also called proportional random sampling or quota random sampling.

The given series 1/n² is convergent, and its sum is π²/6.

The terms of the series are given by 1/n², where n is the index of the term. To find the partial sums of the series, we can add up the first n terms of the series. The partial sum S_n can be expressed as:

S_n = 1/1² + 1/2² + 1/3² + … + 1/n²

We can now calculate the first few partial sums to graph them:

S_1 = 1/1² = 1

S_2 = 1/1² + 1/2² = 1 + 1/4 = 5/4

S_3 = 1/1² + 1/2² + 1/3² = 5/4 + 1/9 ≈ 1.3611

S_4 = 1/1² + 1/2² + 1/3² + 1/4² ≈ 1.4236

Continuing this pattern, we can calculate more partial sums. Now, let's graph both the sequence of terms and the sequence of partial sums on the same screen.

Based on the graph, we can see that as n increases, the partial sums S_n approach a finite value, and they do not diverge to infinity. This suggests that the series 1/n² is convergent.

To find the sum of the series, we can take the limit of the partial sums as n approaches infinity:

lim(n->∞) S_n = lim(n->∞) (1/1² + 1/2² + 1/3² + … + 1/n²)

Using the formula for the sum of the squares of reciprocals, which is π²/6, we can conclude that:

lim(n->∞) S_n = π²/6

Therefore, the given series 1/n² is convergent, and its sum is π²/6.

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Answer: i think its dec good luck

Step-by-step explanation:

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Answer:

A

Step-by-step explanation:

angle A is opposite to angle E