if the cleartext is 12 and the key is 6, the cipher is

Therefore, the conditional probability that East has 3 spades given that North and South have a combined total of 8 spades is approximately 0.107.

To calculate the conditional probability that East has 3 spades given that North and South have a combined total of 8 spades, we need to use Bayes' Theorem.

Let A be the event that East has 3 spades and B be the event that North and South have a combined total of 8 spades. Then, we need to find P(A|B), which is the probability that East has 3 spades given that North and South have a combined total of 8 spades.

Bayes' Theorem states that:

P(A|B) = P(B|A) * P(A) / P(B)

where P(B|A) is the probability of North and South having a combined total of 8 spades given that East has 3 spades, P(A) is the probability of East having 3 spades, and P(B) is the probability of North and South having a combined total of 8 spades.

We don't have information to calculate these probabilities directly, so we need to use some assumptions. One common assumption is that each player has an equal chance of having any particular suit, and the distribution of suits is independent across players.

Under this assumption, the probability of East having 3 spades is the probability of drawing 3 spades from the remaining 10 spades, which is

P(A) = (10 choose 3) / (52 choose 13) ≈ 0.098

The probability of North and South having a combined total of 8 spades is the sum of the probabilities of the following cases:

North has 5 spades and South has 3 spades

North has 4 spades and South has 4 spades

North has 3 spades and South has 5 spades

Under our assumption, the probability of each of these cases is:

P(North has k spades) * P(South has 8-k spades) = (13 choose k) * (39 choose 8-k) / (52 choose 13)

Therefore,

P(B) = [ (13 choose 5) * (39 choose 3) + (13 choose 4) * (39 choose 4) + (13 choose 3) * (39 choose 5) ] / (52 choose 13) ≈ 0.211

Finally, we need to calculate P(B|A), which is the probability of North and South having a combined total of 8 spades given that East has 3 spades. Under our assumption, this probability can be calculated as:

P(B|A) = P(North and South have 5 spades in total) = (3 choose 2) * (10 choose 1) / (13 choose 2) ≈ 0.231

Putting it all together, we get:

P(A|B) ≈ P(B|A) * P(A) / P(B) ≈ 0.231 * 0.098 / 0.211 ≈ 0.107

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The required possible value of U is approximately 74.3°.

In triangle TUV, we know that u = 9.6 cm, t = 6 cm, and ∠T = 143°. To find all possible values of ∠U, we can use the law of cosines, which states that:

c² = a² + b² − 2ab cos(C)

where c is the side opposite angle C, and a and b are the other two sides.

Here, we have to find angle U, which is opposite side u.

Therefore, we can rearrange the law of cosines to solve for cos(U):

cos(U) = (a² + b² - c²) / 2ab

Substituting the given values, we get:

cos(U) = (6² + 9.6² - 2(6)(9.6) cos(143°)) / (2(6)(9.6))

cos(U) = 0.267

Taking the inverse cosine of both sides, we get:

U = cos⁻¹(0.267)

U ≈ 74.3° or U ≈ 285.7°

Since the sum of the angles in a triangle is 180°, we know that U must be less than 143°.

Therefore, the only possible value of U is approximately 74.3°.

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The expression is s2 = {(b, a), (b, d), (d, c), (d, d)}.

To find s2, which is the composition of the relation s with itself, we need to apply each element of s to itself and then combine the results.

The elements of s2 are of the form (x, z), where there exists some y such that (x, y) ∈ s and (y, z) ∈ s.

Using the given relation s = {(a,c),(b,d),(d,a)}, we can find s2 as follows:

(a, c) ∈ s, (c, a) ∉ s, so (a, a) ∉ s2

(a, c) ∈ s, (c, b) ∉ s, so (a, b) ∉ s2

(a, c) ∈ s, (c, d) ∉ s, so (a, d) ∉ s2

(a, c) ∈ s, (c, a) ∉ s, so (a, a) ∉ s2

(b, d) ∈ s, (d, a) ∈ s, so (b, a) ∈ s2

(b, d) ∈ s, (d, b) ∉ s, so (b, b) ∉ s2

(b, d) ∈ s, (d, d) ∈ s, so (b, d) ∈ s2

(b, d) ∈ s, (d, a) ∈ s, so (b, a) ∈ s2

(d, a) ∈ s, (a, c) ∈ s, so (d, c) ∈ s2

(d, a) ∈ s, (a, d) ∈ s, so (d, d) ∈ s2

(d, a) ∈ s, (a, a) ∉ s, so (d, a) ∉ s2

(d, a) ∈ s, (a, c) ∈ s, so (d, c) ∈ s2

Therefore, s2 = {(b, a), (b, d), (d, c), (d, d)}.

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The determinant of the matrix, using the method of expansion by cofactors would be -75.

The formula for the determinant of the matrix is :

= a 11 x C 11 - a 12 x C12 + a 13 x C 13

The a's are in the first row and the Cs are the cofactors that correspond to them.

These cofactors are:

| 5 6 |

| -3 1 |

C11 = (5 x 1) - (6 x -3)

= 5 + 18

= 23

| 4 6 |

| 2 1 |

C12 = (4 x 1) - (6 x 2)

= 4 - 12

= - 8

| 4 5 |

| 2 -3 |

C13 = (4 x -3) - (5 x 2)

= -12 - 10

= -22

The determinant is therefore:

= -3 x 23 - 2 x ( - 8 ) + 1 x (- 22)

= - 69 + 16 - 22

= - 75

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The calculated coordinates of point B on the line AC is (-5/11, -19/11)

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

A (-5,-4)  

C (5,1)

Also, we have

m : n = 5 : 6

The coordinates of point B are calculated using

B = 1/(m + n) * (mx₂ + nx₁, my₂ + ny₁)

Substitute the known values in the above equation, so, we have the following representation

B = 1/(5 + 6) * (5 * 5 + 6 * -5, 5 * 1 + 6 * -4)

Evaluate

B = (-5/11, -19/11)

Hence, the coordinates of point B on line AC is (-5/11, -19/11)

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Question

What are the coordinates of point B on line AC such that the ratio of AB to AC is 5:6

A (-5,-4) to C (5,1)

To find ∂2z/(∂r ∂s), we need to take the partial derivative of ∂z/∂s with respect to r or the partial derivative of ∂z/∂r with respect to s.

Let's start by finding the partial derivatives of z with respect to x and y:

∂z/∂x = ∂f/∂x = 2r s2 ∂f/∂u    (where u = x = r2 s2)

∂z/∂y = ∂f/∂y = 9r ∂f/∂v    (where v = y = 9rs)

Next, we can use the chain rule to find the second partial derivative of z with respect to r and s:

∂2z/(∂r ∂s) = ∂/∂r (∂z/∂s)

= ∂/∂r (9s ∂f/∂v)          (since ∂z/∂s = ∂f/∂y = 9r ∂f/∂v)

= 9 ∂/∂r (s ∂f/∂v)

= 9 (∂/∂v (s ∂f/∂u) * ∂u/∂r + ∂/∂v (s ∂f/∂v) * ∂v/∂r)

= 9 (s ∂2f/∂u∂v * 2rs + ∂f/∂v * 9)

= 18rs s ∂2f/∂u∂v + 81r ∂f/∂v

Therefore, the expression for ∂2z/(∂r ∂s) in terms of f(x,y) is:

∂2z/(∂r ∂s) = 18rs s ∂2f/∂u∂v + 81r ∂f/∂v, where u = x = r2 s2 and v = y = 9rs.

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The standard form of the equation of the hyperbola is ((x - 6)^2 / 9) - ((y - 0)^2 / 27) = 1 or equivalently ((x - 6)^2 / (3^2)) - ((y - 0)^2 / (3sqrt(3))^2) = 1.

Since the foci of the hyperbola lie on the x-axis, we know that the transverse axis is horizontal. The center of the hyperbola is the midpoint between the vertices, which is ((3+9)/2, 0) = (6, 0). The distance between the center and each vertex is a = (9-3)/2 = 3, and the distance between the center and each focus is c = 12/2 = 6. The distance between each focus and vertex is b, where b^2 = c^2 - a^2 = 36 - 9 = 27, so b = sqrt(27) = 3sqrt(3).

Therefore, the standard form of the equation of the hyperbola is:

((x - 6)^2 / 9) - ((y - 0)^2 / 27) = 1

or equivalently:

((x - 6)^2 / (3^2)) - ((y - 0)^2 / (3sqrt(3))^2) = 1

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The prediction interval is then calculated as follows as: ±0.0196.

The prediction interval for the length of life of a horse can be calculated using the following formula:

Prediction interval = ±1.96 * standard error

here the standard error is the standard deviation of the sampling distribution of the estimate.

The standard error can be estimated using the formula:

Standard error = √[(1/n) * sum((estimate - y[tex])^2[/tex]]

here n is the sample size, estimate is the sample mean, and y is the true population mean.

In this case, the sample size is n = 2, the estimate is x = 2, and y = 18.89.01087.

Substituting these values into the formula, we get:

Standard error = √[(1/2) * (2 - 18.89.01087[tex])^2[/tex]]

= √[(1/2) * (2 - 18.89.01087)]]  ]][tex])^2[/tex]]

= √[0.5 * (2 - 18.89.01087)[tex])^2[/tex]]

= √[0.5 * 0.02087[tex])^2[/tex]]

= √0.5 * 0.001156

= 0.001156

The standard error is approximately 0.001156.

The prediction interval is then calculated as follows:

Prediction interval = ±1.96 * standard error

= ±1.96 * 0.001156

= ±0.0196

Rounding to the nearest hundredth, the prediction interval is approximately 0.02.  

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If the median of a normal distribution is known, it can be said that the mean of the distribution is also equal to the median. This is because the normal distribution is symmetric, with the median and mean at the center of the curve.

For a normal distribution, the mean and median are equal, so if the median is known, then the mean is also known. In a normal distribution, the median represents the point where exactly half of the data falls below and half falls above that point. Since the mean is also the point where the data balances out, meaning the sum of the values above the mean is equal to the sum of the values below the mean, it is also equal to the median. Therefore, if the median of a normal distribution curve is known, we can conclude that the mean is also equal to that value.

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To find the slope of the tangent line and the instantaneous rate of change of the function at the point (-2,0), we first need to find the derivative of the function:

y = (x^2 + 3)(x^3 - 4x)

y' = [(2x)(x^3 - 4x) + (x^2 + 3)(3x^2 - 4)]

= 2x^4 - 8x^2 + 3x^2 - 4

= 2x^4 - 5x^2 - 4

(a) To find the slope of the tangent line at (-2,0), we substitute x = -2 into the derivative:

y' = 2(-2)^4 - 5(-2)^2 - 4 = 24

Therefore, the slope of the tangent line at (-2,0) is 24.

(b) The instantaneous rate of change of the function at (-2,0) is also given by the derivative at that point:

y'(-2) = 2(-2)^4 - 5(-2)^2 - 4 = 24

Therefore, the instantaneous rate of change of the function at (-2,0) is 24.

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The probability that Blaine earns more than $10,100 in 50 days is approximately:

P(X > $10,100) ≈ 1 - 0.7136 ≈ 0.2864 or 28.64%.

To calculate the probability that Blaine earns more than $10,100 after 50 days, we need to use the Central Limit Theorem, assuming that Blaine's daily earnings follow a normal distribution.

The Central Limit Theorem states that the sum or average of a large number of independent and identically distributed random variables tends to follow a normal distribution, regardless of the shape of the original distribution.

Given that Blaine's average earnings per day is $200 with a standard deviation of $25, we can calculate the mean and standard deviation for the sum of his earnings over 50 days:

Mean of 50-day earnings = 50 * $200 = $10,000

Standard deviation of 50-day earnings = √(50) * $25 ≈ $176.78

Now, we want to find the probability that Blaine earns more than $10,100 in 50 days. We can convert this into a standard normal distribution by standardizing the value using the z-score formula:

z = (x - μ) / σ

Where:

x is the value we want to standardize (in this case, $10,100)

μ is the mean of the distribution (in this case, $10,000)

σ is the standard deviation of the distribution (in this case, approximately $176.78)

z = ($10,100 - $10,000) / $176.78 ≈ 0.564

Next, we can use a standard normal distribution table or a calculator to find the probability associated with the z-score of 0.564. The probability of earning more than $10,100 can be calculated as:

P(X > $10,100) = 1 - P(X ≤ $10,100)

= 1 - P(Z ≤ 0.564)

Using a standard normal distribution table or a calculator, we can find that P(Z ≤ 0.564) is approximately 0.7136.

Therefore, the probability that Blaine earns more than $10,100 in 50 days is approximately:

P(X > $10,100) ≈ 1 - 0.7136 ≈ 0.2864 or 28.64%.

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The appropriate limits of integration for finding the area between the functions defined by x = −1 and x = − y^3 − 3y^2 are y = -2 and y = 0.

To find the limits of integration, we need to determine the intersection points of the given functions. Equating x = −1 and x = − y^3 − 3y^2, we get:

−1 = − y^3 − 3y^2

Rearranging and simplifying, we get:

y^3 + 3y^2 - 1 = 0

We can solve this cubic equation to get the three roots, but we are only interested in the real root between y = -2 and y = 0. We can use numerical methods or a graphing calculator to find that the real root is approximately -1.7549.

Therefore, the appropriate limits of integration for finding the area between the given functions are y = -2 and y = 0. The integral to find the area is:

A = ∫^0_-2 [(− y^3 − 3y^2) + 1] dy

Simplifying and evaluating the integral, we get:

A = 49/12.

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The value of x is equal to 7.5 units.

In order to determine the value of x, we would apply cosine ratio because the given side lengths represent the adjacent side and hypotenuse of a right-angled triangle.

cos(θ) = Adj/Hyp

Where:

By substituting the given side lengths cosine ratio formula, we have the following;

cos(θ) = Adj/Hyp

cos(20) = x/8

x = 8cos(20)

x = 7.5 units.

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Answer:

35

Step-by-step explanation:

(-18) + (-83) +142) + |15) + (-21)

41 + 15 - 21

56 - 21

35

The calculated value of x from the frequency table is 21

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

Number of points 0 1 2 3 4

Frequency  13 17 8 X 11

The mean is calculated as

Mean = Sum/Count

So, we have

Mean = (0 * 13 + 1 * 17 + 2 * 8 + 3x + 4 * 11)/(13 + 17 + 8 + x + 11)

The mean is given as 2

So, we have

(0 * 13 + 1 * 17 + 2 * 8 + 3x + 4 * 11)/(13 + 17 + 8 + x + 11) = 2

Solving for x, we have

(77+ 3x )/(49 + x) = 2

So, we have

77 + 3x = 2(49 + x)

Evaluate

x = 21

Hence, the value of x from the frequency table is 21

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Answer:

Step-by-step explanation:

(1)This equation does not properly represent the depth in relation to time and is not appropriate for this scenario.

(2)This equation does not accurately model the depth of the water as it does not account for time-dependent changes.

(3)The depth will fluctuate between 5 feet below the surface and 14 feet below the surface, with a period of 2π hours.

(4) The depth of the water at the marker, depending on the specific amplitude and vertical shift derived.

The equation for the depth of the water at the marker depends on the given options (1), (2), (3), and (4). Let's analyze each option:

(1) d = 5cos(t) + 9

This equation suggests that the depth of the water varies with time following a cosine function. The amplitude of the cosine function is 5, and the vertical shift is 9. However, the variable used in the cosine function is "t" instead of "t/2π," which implies that one complete cycle occurs over 2π hours.

(2) d = 9cos(1) + 5

In this equation, the cosine function does not depend on time. It uses a constant value of 1 inside the function. Consequently, the depth of the water remains constant at 14 feet (9 + 5).

(3) d = 9sin(t) + 5

This equation suggests that the depth of the water varies with time following a sine function. The amplitude of the sine function is 9, and the vertical shift is 5. This equation appropriately models the depth of the water at the marker, considering the sinusoidal nature of t.

This equation is similar to option (3) but with a different amplitude and vertical shift. The amplitude is 5, and the vertical shift is 9. This equation also correctly represents the depth of the water at the marker, with the depth fluctuating between 4 feet below the surface and 14 feet below the surface, with a period of 2π hours.

In conclusion, options (3) and (4) are both suitable equations for the depth of the water at the marker.

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The probability that a randomly selected park with newly updated picnic tables is a rural park is 2/7 .The probability is approximately 0.286 or 28.6%.

To find the probability that a randomly selected park with newly updated picnic tables is a rural park, we need to use conditional probability. We know the number of urban parks (30) and rural parks (18), as well as the number of urban parks updated with new picnic tables (10) and rural parks updated with new picnic tables (4).

Let's define the events:

A: Park is rural

B: Park is updated with new picnic tables

We want to find P(A|B), which represents the probability that the park is rural given that it is updated with new picnic tables.

Using the formula for conditional probability:

P(A|B) = P(A ∩ B) / P(B)

P(A ∩ B) represents the probability of both events A and B occurring. In this case, it is the probability that a park is both rural and updated with new picnic tables. From the information given, we know that 4 rural parks were updated with new picnic tables, so P(A ∩ B) = 4.

P(B) represents the probability of event B occurring, which is the probability that a park is updated with new picnic tables. This is the sum of the urban and rural parks that were updated, which is 10 + 4 = 14.

Now we can calculate P(A|B):

P(A|B) = P(A ∩ B) / P(B) = 4 / 14 = 2/7

Therefore, the probability that a randomly selected park with newly updated picnic tables is a rural park is 2/7.

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The graph of the function f(t) = t(1 − u1(t)) + et(u1(t) − u2(t)) consists of a straight line with slope 1 for t < 0, a decreasing curve for 0 ≤ t < 1, and a horizontal line at y = 0 for t ≥ 1. The curve starts at (0,0) and approaches the t-axis asymptotically as t increases for 0 ≤ t < 1.

The function f(t) can be written as a piecewise function:

f(t) = { t, if t < 0,

t-e^(-t), if 0 ≤ t < 1,

0, if t ≥ 1.

To sketch the graph of f(t), we can first plot the graph of each piece of the function and then combine them.

For t < 0, the graph of f(t) is just the line y = t. For 0 ≤ t < 1, the graph of f(t) is the line y = t minus the decreasing exponential curve y = -e^(-t), which intersects the t-axis at (0,-1) and approaches the t-axis asymptotically as t increases. For t ≥ 1, the graph of f(t) is the horizontal line y = 0.

Combining these pieces, we get the following graph of f(t):

          |

       ---|---

          |

          |

          |

----------|-----------

          |

          |

          |

          |

The graph consists of a straight line with slope 1 for t < 0, a decreasing curve that starts at (0,0) and approaches the t-axis asymptotically as t increases, for 0 ≤ t < 1, and a horizontal line at y = 0 for t ≥ 1.

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The solution is the frequency is 6.000-6.049  3 and 6.350-6.399 are 1.

Option C is the correct answer.

Given:

The table of the frequency distribution of the weights​ (in grams) of​ pre-1964 quarters is given.

Required:

Find the correct histogram from the given histogram.

Explanation:

We can observe from the given histogram that the frequency from 6.150-6.199 to 6.200-6.249 is decreasing. In histogram B it is increasing So option B is not the correct answer.

In histograms A and C we will observe that the frequency is 6.000-6.049

3 and 6.350-6.399 are 1.

But by observation in histogram A it is not correct.

It is correct in histogram C.

Final Answer:

Option C is the correct answer.

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complete question:

The table below shows the frequency distribution of the weights (in grams) of pre-1964 quarters Use the frequency distribution to construct a histogram. Does the histogram appear to depict data that have a normal distribution? Why or why not?

the domain of the vector function is the intersection of the domains of the component functions, which is:

(-2, 3) U (3, ∞)

To find the domain of the vector function, we need to consider the domains of the component functions. In particular, we need to make sure that the denominators in the component functions are not zero and the arguments of the logarithmic functions are positive.

For the x-component, we have:

t+2 ≠ 0

which gives t ≠ -2.

For the y-component, there are no restrictions on the domain of sin(t).

For the z-component, we have:

9-t^2 > 0

which gives -3 < t < 3.

Note that we exclude the value t = -2 from the domain because it makes the x-component undefined. We express the final answer in interval notation as (-2, 3) U (3, ∞).

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(4a) The value of arc BD is determined as 140⁰.

(4b) The value of arc ADC is determined as 200⁰.

(4c) The value of angle ADC is determined as 80⁰.

(4d) The value of angle BCD is determined as 110⁰.

(4e) The value of arc AC is determined as 160⁰.

(5a) The value of angle BCA is determined as 123⁰.

(5b) The length of AB is 17.32 units.

The value of the missing angles is calculated by applying intersecting chord theorem, which states that the angle at tangent is half of the arc angle of the two intersecting chords.

question 4a.

arc BD = 2 x m∠BAD ( interior angles of intersecting secants)

arc BD = 2 x 70⁰

arc BD = 140⁰

Question 4b.

arc ADC = 2 x m∠ABC ( interior angles of intersecting secants)

arc ADC = 2 x 100⁰

arc ADC = 200⁰

Question 4c.

angle ADC = 180 - 100 (opposite angles of a cyclic quadrilateral are complementary)

angle ADC = 80⁰

Question 4d.

angle BCD =  180 - 70 (opposite angles of a cyclic quadrilateral are complementary)

angle BCD = 110⁰

Question 4e.

Arc AC = 360 - arc ADC (sum of angles in a circle)

Arc AC = 360 - 200⁰

Arc AC = 160⁰

Question 5a.

angle BCA = ¹/₂ ( (360 - 57 ) - 57 ) (exterior angles of intersecting secants)

angle BCA = ¹/₂ ( 303 - 57 )

angle BCA = 123⁰

Question 5b.

The length of AB is calculated by applying Pythagoras theorem as follows;

AC² = AB² +  BC²

AB² = AC² - BC²

AB² = 20² - 10²

AB² = 300

AB = √ ( 300 )

AB = 17.32 units

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Answer:

The slope indicates the steepness of a line and the intercept indicates the location where it intersects an axis. The slope and the intercept define the linear relationship between two variables, and can be used to estimate an average rate of change.

Some real life examples of slope include:

The probability that the binomial experiment results in fewer than 9 successes is approximately 0.1391.

The binomial experiment with probability of success p = 0.68 and n = 11 trials can be modeled by a binomial distribution. We want to find the probability of getting fewer than 9 successes, which can be written as:

P(X < 9)

where X is the number of successes in 11 trials. To calculate this probability, we can use the binomial cumulative distribution function with parameters n = 11 and p = 0.68:

P(X < 9) = F(8; n = 11, p = 0.68)

Using a binomial distribution table or a calculator, we can find that F(8; n = 11, p = 0.68) = 0.1391 (rounded to four decimal places).

Therefore, the probability that the binomial experiment results in fewer than 9 successes is approximately 0.1391.

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Answer:

AAS

Step-by-step explanation:

For 2 triangles to be congruent, they must meet 1 of the following relative to each other:

These two triangles share 2 of the same angles and 1 of the same sides.

Therefore, they meet the AAS criteria.

while the statement may be generally true for most compound meter time signatures, there are exceptions where the top number may not be 6, 9, or 12.

This statement is not entirely accurate. While it is true that compound meter time signatures have a top number that is typically a multiple of three (e.g., 6, 9, or 12), it is not always the case.

For example, a compound meter time signature of 3/4 is possible, where the top number is not a multiple of three but the time signature is still compound because it is divided into three beats per measure and each beat is divided into three equal parts (eighth note triplets).

Another example is 2/4 time signature in compound duple meter, where the top number is not a multiple of three but the beats are still divided into three equal parts (eighth note triplets).

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Step-by-step explanation:

devide 21 by 7.5 and then multiply by 100

The sequence converges to ln 2.

To determine whether the sequence converges or diverges, we need to take the limit as n approaches infinity. We can simplify the sequence by using the properties of logarithms:

an = ln( 2n^2 + 1 ) - ln( n^2 +1 )

= ln[(2n^2 + 1)/(n^2 + 1)]

Now we can take the limit of this expression as n approaches infinity:

lim [ln[(2n^2 + 1)/(n^2 + 1)]]

n→∞

Using L'Hopital's Rule, we can evaluate this limit:

Lim [(4n)/(2n)]

n→∞

This limit is equal to 2. Therefore, the sequence converges to ln 2.

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Answer:

0.05

Step-by-step explanation:

5%=5/100

5/100=5÷100

5÷100=0.05

The focus is located approximately 0.69 ft from the vertex. Rounded to two decimal places, the answer is (a) 0.52 ft.

The general equation for a vertical parabola in standard form is given by:

y = (1/4p)x^2

where p is the distance from the vertex to the focus.

In this case, the vertex is located at (0, 0) and the opening is 6 ft wide, which means that the parabola opens downwards. Therefore, the equation of the parabola is:

y = -(25/9)x^2

Comparing this with the standard form of the equation, we get:

4p = -25/9

Solving for p, we get:

p = -25/36

Since the focus is located at a distance of p from the vertex along the axis of symmetry, the focus is located at:

f = |p| = 25/36 ≈ 0.69 ft

Therefore, the focus is located approximately 0.69 ft from the vertex. Rounded to two decimal places, the answer is (a) 0.52 ft.

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