hurry i need help with this i don’t know what to write

The derivative of the function y = [tex]x^{-9}+x^{-6}+x^{-1}[/tex] is given by y' = [tex]-9x^{-10}-6x^{-7}-\ln x[/tex] and the derivative of the function y = 9x⁵ - 4x³ + 5x - 8 is given by 45x⁴ - 12x² +5.

The function given is,

y = [tex]x^{-9}+x^{-6}+x^{-1}[/tex]

In the above function, independent variable is 'x' and dependent variable is 'y'.

Differentiating the above function with respect to 'x' we get,

dy/dx = d/dx [tex](x^{-9}+x^{-6}+x^{-1})[/tex]

y'(x) = [tex]-9x^{-9-1}-6x^{-6-1}-\ln x=-9x^{-10}-6x^{-7}-\ln x[/tex]

Another function is,

y = 9x⁵ - 4x³ + 5x - 8

Differentiating the above function with respect to 'x' we get,

y' = 9*5x⁴ - 4*3x² + 5 - 0 = 45x⁴ - 12x² +5

Hence the derivative functions are [tex]-9x^{-10}-6x^{-7}-\ln x[/tex] and 45x⁴ - 12x² +5.

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Answer:

3769.57 cm²

Step-by-step explanation:

Diameter = 98 cm

Radius = 98/2 = 49 cm

Area of Semi Circle = πr²/2

= 3.14 × 49 × 49/2

= 3769.57 cm²

So 3769.57 cm² is the answer

(a) Rounding this to two decimal places gives us an estimate of Hungary's population in 2011 as 9.71 million.

(b) Rounding this to the nearest thousand gives us an estimate of -21 people per year, which means the population is decreasing by about 21 people per year in 2011 according to this model.

(a) To find the population of Hungary in 2011, we need to substitute t=2 (since 2011 is two years after 2009) into the given formula:

[tex]P = 9.906(0.997)^t[/tex]

[tex]P = 9.906(0.997)^2[/tex]

P ≈ 9.706

Rounding this to two decimal places gives us an estimate of Hungary's population in 2011 as 9.71 million.

(b) To find how fast Hungary's population is decreasing in 2011, we need to take the derivative of the given function with respect to t:

[tex]dP/dt = 9.906ln(0.997)(0.997)^t[/tex]

Now we substitute t=2 to get the rate of change in 2011:

[tex]dP/dt = 9.906 ln(0.997)(0.997)^2 \approx -0.0208[/tex]

Rounding this to the nearest thousand gives us an estimate of -21 people per year, which means the population is decreasing by about 21 people per year in 2011 according to this model.

Note that this value is very small and may not be significant in practice.

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the value of the test statistic is -0.4866

To find the value of the test statistic, we can use the formula for a t-test:

t = (x - μ) / (s / √n)

where x is the sample mean, μ is the population mean (69 bpm), s is the sample standard deviation, and n is the sample size (173).

Substituting the given values, we get:

t = (68.6 - 69) / (10.8 / √173)

t = -0.4 / (10.8 / 13.1529)

t = -0.4 / 0.8223

t = -0.4866 (rounded to four decimal places)

Therefore, the value of the test statistic is -0.4866

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The total payment of Angela's and Becky's annuities is $31,271.38, under the condition that Angela's annuity pays $600 per month for 5 years at 9 % per and Becky's annuity pays $300 per month for 10 years at 9 % compounded monthly.

To evaluate the total payment for Angela's and Becky's annuities, we can perform the formula for the future value of an annuity

[tex]FV = PMT * [(1 + r)^n - 1] / r[/tex]

Here FV = future value of the annuity,

PMT = monthly payment,

r= monthly interest rate,

n = number of months.

In case of Angela's annuity

PMT = $600

r = 9% / 12 = 0.0075

n = 5 years × 12 months/year = 60 months

[tex]FV = $600 * [(1 + 0.0075)^{60 - 1}] / 0.0075[/tex]

= $44,772.64

In case of  Becky's annuity

PMT = $300

r = 9% / 12 = 0.0075

n = 10 years × 12 months/year = 120 months

[tex]FV = $300 * [(1 + 0.0075)^{120 - 1}] / 0.0075[/tex]

= $44,772.64

Then, both annuities have the same future value of $44,772.64.

Now, to evaluate the present value of each annuity, we can perform the formula for the present value of an annuity

[tex]PV = PMT * [1 - (1 + r)^{-n}] / r[/tex]

Here

PV = present value of the annuity.

In case of Angela's annuity

[tex]PV = $600 * [1 - (1 + 0.0075)^{-60}] / 0.0075[/tex]

= $31,271.38

In case of  Becky's annuity

[tex]PV = $300 * [1 - (1 + 0.0075)^{-120}] / 0.0075[/tex]

= $31,271.38

Hence, both annuities have the same present value of $31,271.38.

Changing the number of years will affect the annuity in two ways:

1) It affects the future value and by that it will also affects the present value.

2) Increasing the number of years increases not only the future value but also the present value of an annuity.

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The probability of no street light failures next week can be calculated using the Poisson distribution formula.


The Poisson probability formula is: P(x) = (e^(-λ) * λ^x) / x!, where x is the number of occurrences, λ is the average rate, and e is the base of the natural logarithm (approximately 2.71828).

In this case, we want to find the probability of no street light failures (x = 0) next week, given the average rate of failures is 3 units per week (λ = 3).

Step 1: Plug in the values into the formula:
P(0) = (e^(-3) * 3^0) / 0!

Step 2: Evaluate the exponential and factorial parts:
e^(-3) ≈ 0.0498
3^0 = 1
0! = 1

Step 3: Calculate the probability:
P(0) = (0.0498 * 1) / 1 = 0.0498

So, the probability of no street light failures next week is 0.0498 or 4.98%.

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The absolute Maximum of  f(t) = 7 cos t, −3π/2 ≤ t ≤ 3π/2 is 7 and the absolute Minimum of f(t) = 7 cos t, −3π/2 ≤ t ≤ 3π/2 is -7.

The function f(t) = 7 cos(t) has a period of 2π, which means that it repeats itself every 2π units. In the given interval, the function takes its maximum and minimum values at the endpoints of the interval and at the critical points where the derivative of the function is zero.

The critical points of f(t) in the interval −3π/2 ≤ t ≤ 3π/2 are t = −π/2, π/2, and 3π/2, where the derivative of the function f(t) is zero:

f'(t) = -7 sin(t) = 0

This occurs when sin(t) = 0, which implies that t = −π/2, π/2, and 3π/2.

Therefore, the absolute maximum and minimum of f(t) occur at the endpoints of the interval and the critical points, and are as follows:

Absolute maximum: f(π/2) = 7

Absolute minimum: f(−3π/2) = -7

So, the absolute maximum value of f(t) is 7, which occurs at t = π/2, and the absolute minimum value of f(t) is -7, which occurs at t = −3π/2.

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The 90% lower confidence bound for the population variance (σ²) is approximately 3.52 deciliters

To construct a 90% lower confidence bound on σ^2, we'll need to use the chi-square (χ²) distribution and the following terms:

1. Sample variance (s²): 2.03 deciliters
2. Sample size (n): 25
3. Degrees of freedom (df): n - 1 = 24
4. Confidence level: 90%

Step 1: Find the chi-square value for the given confidence level.
For a 90% lower confidence bound, we need to find the chi-square value corresponding to the lower 10% tail (α = 0.10) and the given degrees of freedom (24). Using a chi-square table or calculator, we find the χ² value to be 13.85.

Step 2: Compute the lower confidence bound for σ².
Now, we will use the formula for the lower confidence bound for σ²:

Lower bound = [(n - 1) * s²] / χ²

Lower bound = (24 * 2.03) / 13.85
Lower bound = 48.72 / 13.85
Lower bound ≈ 3.52 deciliters

So, the 90% lower confidence bound for the population variance (σ²) is approximately 3.52 deciliters.

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The percent of girls who want to be a teacher when they grow up is 19.8.

To find the percentage of girls who want to be a teacher, we need to divide the number of girls who want to be a teacher by the total number of girls in the study and then multiply by 100.

In a study of 1350 elementary school children, there were 615 girls, and 118 of them said they want to be a teacher when they grow up. To find the percentage of girls who want to be a teacher, you can use the formula:

Percentage = (Number of girls who want to be a teacher / Total number of girls) x 100

Percentage = (118 / 615) x 100

Percentage ≈ 19.18%

So, approximately 19.18% of girls in the study want to be a teacher when they grow up.

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The 74th percentile of the sample mean for the number of pets per household is approximately 3.08.

To find the 74th percentile of the sample mean when the mean number of pets per household is 2.96 with a standard deviation of 1.4 and a sample size of 52 households, you can follow these steps:

1. Determine the standard error of the sample mean.

The standard error (SE) is calculated by dividing the population standard deviation by the square root of the sample size:
SE = σ / √n
SE = 1.4 / √52
SE ≈ 0.194

2. Determine the z-score associated with the 74th percentile.

You can use a z-table or a calculator to find the z-score that corresponds to a cumulative probability of 0.74. The z-score is approximately 0.63.

3. Calculate the sample mean associated with the 74th percentile by using the z-score, the population mean, and the standard error:
Sample mean = μ + z * SE
Sample mean = 2.96 + 0.63 * 0.194
Sample mean ≈ 3.08

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(a) To factor P into linear and irreducible quadratic factors with real coefficients, we can start by looking for any rational roots using the rational root theorem.

The possible rational roots of P are ±1, ±2, ±4, ±5, ±10, ±20.

We can see that P(-1) = 0, so x + 1 is a factor of P. Using long division or synthetic division, we can find that P(x) = (x + 1)(x^2 - 6x + 20).

To factor x^2 - 6x + 20, we can use the quadratic formula: x = (6 ± sqrt(36 - 4(1)(20))) / 2 x = 3 ± sqrt(-11)

Since the discriminant is negative, the quadratic factor x^2 - 6x + 20 is irreducible over the real numbers. Therefore, the factored form of P with real coefficients is: P(x) = (x + 1)(x^2 - 6x + 20)

(b) To factor P completely into linear factors with complex coefficients, we can use the same rational root theorem and find the same possible rational roots as before. However, this time we can also consider complex roots of the form a + bi, where a and b are real numbers and i is the imaginary unit.

Using synthetic division, we can find that P(-2 + 2i) = 0, so x - (-2 + 2i) = x + 2 - 2i is a factor of P. Similarly, we can find that x + 2 + 2i is also a factor. Using long division or synthetic division again, we can find that P(x) = (x + 1)(x + 2 - 2i)(x + 2 + 2i). Therefore, the factored form of P with complex coefficients is: P(x) = (x + 1)(x + 2 - 2i)(x + 2 + 2i)

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To use the Alternating Series Test, we need to check that the terms of the series are decreasing in absolute value and approach 0 as n approaches infinity.

Let's start by looking at the absolute value of the terms:

|(-1)^n+1 (n^2/n^3+4)| = n^2/(n^3+4)

To show that this is decreasing, we can look at the ratio of consecutive terms:

[n+1]^2 / [(n+1)^3 + 4] * [(n^3+4) / n^2] = (n^3 + 3n^2 + 2n) / [(n^3+4)(n+1)]

Since the numerator is increasing and the denominator is increasing faster, this ratio is less than 1 for all n >= 1. Therefore, the terms are decreasing in absolute value.

Next, let's show that the terms approach 0. As n approaches infinity, the denominator of each term approaches infinity faster than the numerator, so the entire fraction approaches 0. Since the sign of each term alternates, this means the series converges.

Therefore, using the Alternating Series Test, we can conclude that the series:

[infinity]Σn=1 (-1)^n+1 (n^2/n^3+4)

converges.

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The derivative of the function f(x) is f'(x) = 4x^3 - 4x. The local maximum value is f(0) = 3 and the local minimum value is f(1) = 2. There is an inflection point at x = -1/√3 and another at x = 1/√3.

a) The derivative of the function f(x) is f'(x) = 4x^3 - 4x.To find the intervals where f(x) is increasing or decreasing, we need to determine the sign of the derivative in each interval. Setting f'(x) = 0, we get x = 0 and x = 1 as critical points. We then make a sign chart and test the sign of f'(x) in each interval:

Interval (-∞,0) : f'(x) < 0, so f(x) is decreasing.

Interval (0,1) : f'(x) > 0, so f(x) is increasing.

Interval (1,∞) : f'(x) < 0, so f(x) is decreasing.

b) To find the local maximum and minimum values of f(x), we need to examine the critical points and the endpoints of the intervals. We know that x=0 and x=1 are critical points. We can then evaluate the function at these points and the endpoints of the intervals:

f(-∞) = ∞

f(0) = 3

f(1) = 2

f(∞) = ∞

Therefore, the local maximum value is f(0) = 3 and the local minimum value is f(1) = 2.

c) The second derivative of the function f(x) is f''(x) = 12x^2 - 4. To find the intervals of concavity and the inflection points, we need to determine the sign of the second derivative in each interval. We make a sign chart and test the sign of f''(x) in each interval:

Interval (-∞, -1/√3) : f''(x) < 0, so f(x) is concave down.

Interval (-1/√3, 1/√3) : f''(x) > 0, so f(x) is concave up.

Interval (1/√3, ∞) : f''(x) < 0, so f(x) is concave down.

The inflection points are the points where the concavity changes. From the sign chart, we can see that there is an inflection point at x = -1/√3 and another at x = 1/√3.

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complete question;

F(x)=x^4−2x^2+3

a) Find the intervals on which f is increasing or decreasing.

b) Find the local maximum and minimum values of f.

c) Find the intervals of concavity and the inflection points.

So, the minimum sample size needed is 134 babies born during the 24th week of the gestation period.

To find the minimum sample size needed for the scientist to be 99% confident that her estimate is within 0.6 pounds of the true mean birth weight (μ), we can use the formula:
n = (Z × σ / E)²
where n is the sample size, Z is the Z-score corresponding to the desired confidence level (99%), σ is the standard deviation of the population (2.7 pounds), and E is the margin of error (0.6 pounds).
For a 99% confidence level, the Z-score is 2.576. Now, we can plug the values into the formula:
n = (2.576 × 2.7 / 0.6)²
n = (6.9456 / 0.6)²
n = 11.576²
n ≈ 133.76
Since the sample size should be a whole number, we need to round up to the nearest whole number to ensure the minimum requirement is met:
n ≈ 134

The iterated integral in the order dxdydz for the given integral 2∫0 y³∫0 y²∫0 f(x, y, z) dz dx dy is ∫0 1∫0 y²∫0 y³ 2f(x,y,z) dx dz dy.

Here, we integrate over x from 0 to z³/y³, then over z from 0 to y², and finally over y from 0 to 1. The order dxdydz is used to compute the integral by breaking it down into smaller parts and evaluating each part separately.

By changing the order of integration, we can simplify the process of integration and make it easier to compute.

This change in order helps us to evaluate the integral in a more organized manner, allowing us to identify any patterns or relationships between the variables. Therefore, the iterated integral in the order dxdydz is a useful tool in solving complex integrals.

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The representation of 5.39393939394 in a rational number form is equal to p /q = 534 / 99.

Let us consider 'x' to express the decimal number.

This implies,

x = 5.3939393939...

Multiply both the side of the equation by 100 we get,

⇒ 100x = 539.39393939...

Subtracting expression of x from the expression of  100x, we get,

⇒ 99x = 534

Dividing both sides of the expression by 99, we get,

⇒ x = 534/99

Since 534 and 99 have no common factors other than 1.

534 and 99 are both positive integers.

Expressed the repeating decimal 5.3939393939... as a rational number in the form p/q .

Where p = 534 and q = 99.

This implies ,

p /q = 534 / 99.

Therefore, the expression to represents the given decimal number in a rational number form is equal to 5.3939393939... = 534/99.

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The volume of the solid obtained by rotating the region enclosed by y = √(r), y = 2, and r = 0 about the c-axis is (64/3)π cubic units.

The region enclosed by y = √(r), y = 2, and r = 0 is a quarter-circle in the first quadrant with a radius of 4.

To find the volume of the solid obtained by rotating this region about the c-axis, we can use the disk method.

Consider an element of the solid at a distance r from the c-axis with thickness dr.

When this element is rotated about the c-axis, it generates a disk with radius r and thickness dr.

The volume of this disk is [tex]\pi r^2[/tex] dr.

Integrating this expression over the range of r from 0 to 4, we get:

[tex]V = \int[0,4] \pi r^2 dr[/tex]

[tex]= \pi [(4^3)/3 - 0][/tex]

= (64/3)π.

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For question 8, since m∠C = 45 degrees and a = 1.5 in, we can use the 45-45-90 Triangle Theorem to find the length of the hypotenuse. In a 45-45-90 triangle, the length of the hypotenuse is √2 times the length of each leg. Therefore, the length of the hypotenuse is 1.5 * √2 = 2.12 inches (rounded to two decimal places).

For question 9, if the polygon is a regular hexagon with side length s = 4 yds and apothem a = 2√(3), then the area of the hexagon can be found using the formula for the area of a regular polygon: A = (1/2) * P * a, where P is the perimeter of the polygon and a is the apothem. The perimeter of the hexagon is P = 6s = 6 * 4 = 24 yds. Therefore, the area of the hexagon is A = (1/2) * P * a = (1/2) * 24 * 2√(3) = 24√(3) square yards, or approximately 41.6 square yards when rounded to the nearest tenth.

Answer:

the chances of you getting heads every time is 1/2 * 1/2 * 1/2, or 1/8.

Step-by-step explanation:

If you flip a coin, the chances of you getting heads is 1/2. This is true every time you flip the coin so if you flip it 3 times, the chances of you getting heads every time is 1/2 * 1/2 * 1/2, or 1/8.

Answer:

8

Step-by-step explanation:

2^3=8

The sequence ((-1)ⁿn² ) / (3n²+1) diverges as the limits for even and odd values of n are not the same.

To show that the sequence ((-1)ⁿn² ) / (3n²+1) diverges, we need to show that it does not converge to a finite limit.

Let's consider the subsequence where n is even. In this case, (-1)^n is positive, so we can simplify the sequence as follows:

((-1)ⁿn² ) / (3n²+1) = (n²) / (3n²+1)

We can now take the limit as n approaches infinity

[tex]\lim_{n \to \infty}[/tex](n²) / (3n²+1) = [tex]\lim_{n \to \infty}[/tex] 1 / (3 + 1/n²) = 1/3

Since the limit is not the same for all even values of n, the sequence does not converge, and so it diverges.

Now let's consider the subsequence where n is odd. In this case, (-1)^n is negative, so we can simplify the sequence as follows

((-1)ⁿn² ) / (3n²+1) = -(n²) / (3n²+1)

We can again take the limit as n approaches infinity

[tex]\lim_{n \to \infty}[/tex] -(n²) / (3n²+1) =  [tex]\lim_{n \to \infty}[/tex] -1 / (3/n² + 1/n⁴) = -1/3

Since the limit is not the same for all odd values of n, the sequence does not converge, and so it diverges.

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The given question is incomplete, the complete question is:

Show that the sequence ((-1)ⁿn² ) / (3n²+1) diverges, (Hint, calculate the limits for even and odd values of n.)

The indefinite integral is: 0.3t³ + 0.04t² + 8t + C

Given the function (0.9t² + 0.08t + 8) dt, you can find the indefinite integral by integrating each term separately with respect to t:

∫(0.9t² + 0.08t + 8) dt = 0.9∫(t² dt) + 0.08∫(t dt) + ∫(8 dt)

Now integrate each term:

0.9 × (t³/3) + 0.08 × (t²/2) + 8t

Combine the terms and add the constant of integration (C):

(0.3t³ + 0.04t² + 8t) + C

So, the indefinite integral is:

0.3t³ + 0.04t² + 8t + C

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0.3t³ + 0.04t² + 8t + C here:

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The x-intercept of the graph are - 1 and 3.

The intersection of a function's graph and the x-axis is known as the x-intercept in mathematics. The function has a root or a solution for the equation f(x) = 0 at this time since the y-coordinate of the graph is zero.

The zero or function's root are other names for the x-intercept. The x-value for which the function f(x) equals zero is known as the zero x value.

When a function has an x-intercept, we set f(x) = 0 and then solve for x. The value(s) of x that are obtained provide the x-coordinate(s) of the point(s) where the function's graph crosses the x-axis.

The x-intercept of the graph is obtained when the value of the y-coordinate is 0.

Thus, from the graph we see that the x-intercept is at the points -1 and 3.

Hence, the x-intercept of the graph are - 1 and 3.

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Answer:

b) 1.776 × 10^-4

Step-by-step explanation:

a) 1.776 × 10^-3 is 0.001776 (3 places to the right)

b) 1.776 × 10^-4 is 0.0001776 (4 places to the right)

And the rest of the options go with a different number so there is no way they can be expressed as 0.0001776.

Therefore, the correct answer is b.

Answer:9

Step-by-step explanation:

28/10 =25.2/z

28/10=2.8

25.2/9=2.8

Z=9

Answer:9

Step-by-step explanation:

28/10 =25.2/z

28/10=2.8

25.2/9=2.8

Z=9

To get a 98% confidence interval for the number of students who can recognize the brands with a margin of error of 2 percentage points, we need to survey 1077 middle school-aged kids.

A confidence interval is a range of values that, with a certain degree of certainty, is likely to contain the real value of a population parameter. An unknown value, like a population mean or proportion, can be estimated using this statistical concept using a sample from the population.

Apply the following calculation to find the sample size required to achieve a margin of error of 2 percentage points with a 98% confidence interval:

[tex]n = \dfrac{[Z^2 \times p \times (1-p)]} { E^2}[/tex]

where:

n = sample size

Z = z-score associated with the desired level of confidence (98%)

p = estimated proportion of success (we'll use 0.5 since we don't have any prior information)

E = desired margin of error (0.02)

Plugging in the values,

[tex]n = \dfrac{(2.33)^2 \times 0.5 \times (1 - 0.5)} { (0.02)^2}[/tex]

n ≈ 1076.29

Rounding up, we get a sample size of 1077.

Therefore, we need to sample 1077 middle school-aged children in order to obtain a 98% confidence interval for the proportion of students that can identify the brands, with a margin of error of 2 percentage points.

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In order to achieve a 98% confidence interval with a 2% margin of error, we would need to sample 361 middle school-aged children.

To calculate the sample size needed to achieve a 2% margin of error with 98% confidence interval, we need to use the following formula:

n = (Zα/2[tex])^2\times p \times(1 - p) / E^2[/tex]

Where:

n = sample size

Zα/2 = critical value for the desired confidence level (in this case, 98% which corresponds to a Z-value of 2.33)

p = estimated proportion of students who can identify the Oreo brand cookie, based on the initial sample of 200 students (p = 161/200 = 0.805)

E = desired margin of error (in this case, 0.02)

Plugging in the values, we get:

[tex]n = (2.33)^2\times 0.805 \times (1 - 0.805) / 0.02^2[/tex]

n = 360.39

Rounding up to the nearest whole number, we get a sample size of 361 students.

Therefore, in order to achieve a 98% confidence interval with a 2% margin of error, we would need to sample 361 middle school-aged children.

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The correct answer is (c) between 0 and infinity. This can be answered by the concept from F statistic.

The F statistic, which is used in ANOVA (Analysis of Variance), is calculated as the ratio of the variance between groups to the variance within groups. Since variance is always a positive value (it measures the spread or dispersion of data), the F statistic will always be greater than or equal to 0.

Furthermore, the F statistic follows an F-distribution, which is a continuous probability distribution that ranges from 0 to infinity. The F-distribution has a skewed shape, with most of the values clustered towards 0 and decreasing as the values get larger. This means that the F statistic can take on values anywhere between 0 and infinity, but it cannot be negative.

Therefore, when conducting an ANOVA, FDATA will always fall within the range of 0 to infinity.

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No, the data does not provide convincing evidence that the pediatrician's claim is true.

To determine if the data provide convincing evidence that the pediatrician's claim is true, we need to conduct a hypothesis test. Our null hypothesis is that the true mean weight of one-year-old boys is equal to or less than 25 pounds, while our alternative hypothesis is that the true mean weight is greater than 25 pounds.

Using the sample data given, we can calculate the test statistic as follows:
t = (24.4 - 25) / (5.3 /^(342)) = -1.69

We can then compare this test statistic to the critical value of a t-distribution with 341 degrees of freedom (since we are estimating one parameter, the mean). At an alpha level of 0.05 and with one tail (since our alternative hypothesis is one-sided), the critical value is 1.646.
Since our test statistic (-1.69) is less than the critical value (1.646), we fail to reject the null hypothesis. In other words, the data do not provide convincing evidence that the pediatrician's claim is true. We cannot conclude that the mean weight of one-year-old boys is greater than 25 pounds based on this sample.

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The perimeter of the square room having a west wall of the length of 13 feet is 52 feet. Thus, the right answer is option C which says 52.

A square is a 2-Dimensional shape. It is a quadrilateral having 4 equal sides and 4 equal angles of 90°. Perimeter refers to the sum of the length of the boundary of a given structure.

Perimeter of square = 4s

where s is the side of a square

Given, that it is a square room, thus, the length of the west wall is equal to the side of the square room

the side of the square room =  13 feet

therefore, perimeter = 4 * 13 = 52 feet

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