Sophia took home 2/5 of the pizza that was left over from a party the amount she took represents 1/2 of a whole pizza the equation 2/5p=1/2 can be used to find the number of pizzas p left over from the party how many pizzas where are left over 

The football travels about 29.67 meters horizontally before hitting the ground.

(a) We can find the horizontal and vertical components of the initial velocity of the football using trigonometry. Let v be the initial speed of the football, and let θ be the angle it is kicked at.

The horizontal component of the velocity is given by:

vx = v cosθ

Plugging in the values for the speed and angle, we get:

vx = 18 cos 65° ≈ 7.49 m/s

The vertical component of the velocity is given by:

vy = v sinθ

Plugging in the values for the speed and angle, we get:

vy = 18 sin 65° ≈ 16.59 m/s

So the horizontal component of the initial velocity is about 7.49 m/s, and the vertical component is about 16.59 m/s.

(b) We can find the time the football is in the air using the vertical component of the velocity and the acceleration due to gravity, which is -9.81 m/s^2 (negative because it acts downward). We can use the following kinematic equation:

vf = vi + at

where vf is the final velocity, vi is the initial velocity, a is the acceleration, and t is the time.

When the football reaches its maximum height, its vertical velocity will be zero. We can use this to find the time it takes to reach the maximum height:

0 = vy + at_max

Solving for t_max, we get:

t_max = -vy/a = -(18 sin 65°)/(-9.81) ≈ 1.98 s

The total time the football is in the air is twice the time it takes to reach the maximum height:

t_total = 2t_max ≈ 3.96 s

So the football is in the air for about 3.96 seconds.

(c) We can find the horizontal distance the football travels before hitting the ground using the horizontal component of the velocity and the time the football is in the air. We can use the following kinematic equation:

Δx = vxt

where Δx is the distance traveled, vx is the horizontal component of the velocity, and t is the time.

Plugging in the values for vx and t, we get:

Δx = (7.49 m/s) × (3.96 s) ≈ 29.67 m

So the football travels about 29.67 meters horizontally before hitting the ground.

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The volume of the globe is V = 288π inches³

Given data ,

Let the volume of the globe be represented as V

Now , the value of V is

Let the circumference of the equator be C = 12π inches

Now , Volume of a Sphere = ( 4/3 ) πr³

where 2πr = 12π

So , r = 6 inches

And , volume of globe V = ( 4/3 ) π ( 6 )³

V = 288π inches³

Hence , the volume of globe is V = 288π inches³

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The load factor is the ratio between the number of elements and the hash table size. Rehashing is to reinsert the elements into the table after the hash table is resized.

The load factor is an important parameter in hash table performance because it affects the number of collisions that occur. Collisions happen when two elements are mapped to the same location in the hash table. The higher the load factor, the higher the chance of collisions. Typically, a load factor of 0.7 is considered a good balance between memory usage and collision avoidance. When the load factor exceeds a certain threshold, the hash table needs to be resized to accommodate more elements. During this process, all elements need to be reinserted into the new hash table. This is known as rehashing. The new hash table size is usually increased by a factor of 2, and the elements are reinserted into the new table based on their new hash codes. This process can be time-consuming, so it's important to choose a good initial hash table size and load factor to minimize the frequency of resizing and rehashing.

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The standard for deciding whether an observed result is due to chance is called statistical significance.

statistical significance refers to the likelihood that the observed results are not due to chance alone but are instead the result of a real effect or relationship. This is determined through statistical tests, such as the p-value, which calculates the probability of obtaining the observed results if the null hypothesis (i.e. no effect or relationship) were true. If the probability is low enough (typically below 0.05), then the results are considered statistically significant.

statistical significance is the standard used to determine whether an observed result is likely due to chance or a real effect/relationship.

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the area of one petal of the region bounded by the circle with center at the origin and radius r = cos(4) is approximately 3.75π square units.  

To find the area of one petal of the region bounded by the circle with center at the origin and radius r = cos(4), we can use the formula for the area of a circular sector:

Area = (1/2)π[tex]r^2[/tex] * (θ/360)

where θ is the angle between the positive x-axis and the sector's line of symmetry. The sector's line of symmetry is the line perpendicular to the positive x-axis that passes through the center of the circle.

In this case, θ = 45 degrees, which is half of the full angle of 90 degrees. Therefore, we can simplify the formula to:

Area = (1/2)π[tex]r^2[/tex] * 45/360

Substituting r = cos(4), we get:

Area = (1/2)π(cos(4))[tex]^2[/tex] * (45/360)

= (1/2)π(1 - sin[tex]^2(4))[/tex] * (45/360)

= (1/2)π(1 - 1/2) * (45/360)

= (1/4)π * 45/360

= (1/4)π * 1.5

= 3.75π square units

Therefore, the area of one petal of the region bounded by the circle with center at the origin and radius r = cos(4) is approximately 3.75π square units.  

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Full Question ;

Find the area of one petal of the polar curve r=cos(4θ).

Every subgroup of G is either cyclic or isomorphic to the direct product of two cyclic groups.

To show that every subgroup of the group G of order p^2, where p is a prime, is either cyclic or isomorphic to the direct product of two cyclic groups, we can use the concept of the structure theorem for finite abelian groups.

Let H be a subgroup of G. Since G is of order p^2, the possible orders of subgroups of G are 1, p, or p^2 by Lagrange's theorem.

If the order of H is 1, then H is the trivial subgroup and is cyclic.

If the order of H is p, then H is a subgroup of prime order in G. According to Cauchy's theorem, there exists an element a in H of order p. Thus, H is cyclic generated by a.

Now, consider the case where the order of H is p^2. By the structure theorem for finite abelian groups, H is isomorphic to Z_p × Z_p, the direct product of two cyclic groups of order p. This is because any abelian group of order p^2 is isomorphic to either Z_p × Z_p or Z_(p^2).

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The two statements that are correct would be as follows;

The probability of selecting a student is 85% and

The probability of selecting a female student is 45%. That is option B and C respectively.

To determine the correct area is to use the formula for probability which will be stated below as follows;

Probability = possible outcome/sample space.

The total number of female students = 18

The total number of male students = 16

The total number of teachers = 6

The total number of students = 18+16+6 = 40

For students;

possible outcome = 18+16 = 34

probability = 34/40×100/1

= 85%

For female;

possible outcome = 18/40×100/1

= 45%

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The example of a Type I error in this case is: "We conclude that drinking coffee after breakfast leads to greater weight loss when in fact it does not."

What is Type I error?

A Type I error, also known as a false positive, occurs in statistical hypothesis testing when the null hypothesis (H₀) is incorrectly rejected, despite it being true in reality.

In hypothesis testing, a Type I error occurs when the null hypothesis (H₀) is incorrectly rejected when it is actually true. In this scenario, the null hypothesis would state that there is no effect of drinking coffee after breakfast on weight loss.

If the researchers conclude that drinking coffee after breakfast leads to greater weight loss, but in reality, there is no effect of coffee on weight loss, it would be a Type I error. This error implies that the researchers mistakenly concluded that there is a significant effect of the independent variable (drinking coffee after breakfast) on the dependent variable (weight loss), when there is no real effect present in the population being studied.

It is important to control the risk of Type I errors by selecting an appropriate significance level (alpha) and interpreting the results cautiously.

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Basis points are commonly used in finance and represent a unit of measure for expressing percentages. One basis point is equal to 0.01%, or 0.0001 in decimal form. 45,614 is the standard representation of 4.5614 in basis points.

To express a value in basis points, we multiply the decimal value by 10,000. In this case, to express 4.5614 as basis points, we perform the following calculation:

4.5614 * 10,000 = 45,614 basis points.

Therefore, 4.5614 can be expressed as 45,614 basis points.

Basis points are commonly used in finance and investments to represent small changes in interest rates, bond yields, or other financial percentages.

Each basis point is equal to one-hundredth of a percent or 0.01%. By multiplying a decimal value by 10,000, we convert it to basis points.

Rounding the answer to the nearest 10,000th decimal point means we round the value to the fourth decimal place. In this case, 45,614 is already rounded to the nearest 10,000th decimal place.

It is important to note that when using basis points, it is customary to express the value without a decimal point.

Therefore, 45,614 is the standard representation of 4.5614 in basis points.

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Modern CPUs typically have a word size of 32 bits or 64 bits, although some specialized processors may have smaller or larger word sizes.

The number of bits that can be processed by a CPU at any one time is known as its "word size" or "bit width". The word size is typically a fixed number of bits that the CPU can handle at once, and it determines the maximum amount of memory that can be addressed directly by the CPU.

Historically, CPUs have had word sizes of 4 bits, 8 bits, 16 bits, 32 bits, or 64 bits. The word size affects the maximum value that can be stored in a register or accessed in memory, as well as the number of instructions that can be executed in parallel.

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The two potential solutions, t = 5.4522 + 24n and t = 18.5478 + 24n, arise from the periodic nature of the cosine function.

The variable n represents the number of complete periods of the cosine function that have occurred.

The given equation, -28cos((π/12)t) + 32 = 28, is a trigonometric equation involving the cosine function.

The goal is to find the values of t that satisfy the equation.

In trigonometry, the cosine function has a periodic nature.

It repeats its values over specific intervals.

In this equation, the coefficient of t inside the cosine function is (π/12), which indicates that the period of the cosine function is 2π/(π/12) = 24.

When solving trigonometric equations, it's important to consider the periodicity of the functions involved.

The solutions of a trigonometric equation will often have multiple values within a specific interval.

These equations represent the general form of solutions, where n is an integer.

let's consider n = 0. Plugging in n = 0 into the solutions, we have:

t = 5.4522 + 24(0)

= 5.4522

t = 18.5478 + 24(0)

= 18.5478

n = 0 gives us specific values of t.

As we increase the value of n (such as n = 1, 2, 3, and so on), we obtain additional solutions that satisfy the equation.

These solutions correspond to different periods of the cosine function.

It allows us to generate all possible solutions by adding multiples of the period to the initial solution.

By changing the value of n, we can find infinitely many solutions that satisfy the equation and account for the periodic behavior of the cosine function.

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Therefore, the general solution of the given second-order differential equation is: y = c1 e^(0t) + c2 e^(-1/2 t).

To find the general solution of the given second-order differential equation 2y'' + y' = 0, we can assume that the solution is of the form y = e^(rt), where r is a constant to be determined.

First, we find the first and second derivatives of y with respect to t:

y' = re^(rt)

y'' = r^2 e^(rt)

Substituting these expressions into the differential equation, we get:

2r^2 e^(rt) + r e^(rt) = 0

Factoring out e^(rt), we get:

e^(rt) (2r^2 + r) = 0

This equation will be satisfied if either e^(rt) = 0 or 2r^2 + r = 0.

Since e^(rt) is never zero, we must have:

2r^2 + r = 0

Factoring out r, we get:

r(2r + 1) = 0

So, either r = 0 or r = -1/2.

Therefore, the general solution of the given second-order differential equation is:

y = c1 e^(0t) + c2 e^(-1/2 t)

Simplifying this expression, we get:

y = c1 + c2 e^(-1/2 t)

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After 10 years, Account C will earn more interest than Account S. The difference in interest earned can be calculated by comparing the formulas for simple interest and compound interest.

Account S earns simple interest, which can be calculated using the formula: Interest = Principal × Rate × Time. Therefore, the interest earned by Account S after 10 years is: $300 × 0.055 × 10 = $165.

Account C earns interest compounded annually, which can be calculated using the formula: A = P(1 + r/n)^(nt), where A is the final amount, P is the principal, r is the annual interest rate, n is the number of times interest is compounded per year, and t is the number of years. Since no additional deposits or withdrawals are made, the principal remains $300, the interest rate is 5.5%, compounded annually (n = 1), and the time is 10 years. Using these values, the amount after 10 years is: A = $300(1 + 0.055/1)^(1×10) = $531.05.

The difference in interest earned is: $531.05 - $165 = $366.05. Therefore, Account C will earn $366.05 more interest than Account S after 10 years.

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Tthe arc length function for the curve y = sin−1(x) 1 − x2 with starting point (0, 1) is L(x) = (1/2) * (pi/2 - sin−1(x)) + (1/2) * x * sqrt(1 - x^2), where x is between 0 and 1.

To find the arc length function for the curve y = sin−1(x) 1 − x2 with starting point (0, 1), we first need to find the derivative of the function. Taking the derivative of the function, we get:

dy/dx = 1 / sqrt(1 - x^2)

Now, we can use the formula for arc length to find the arc length function:

L(x) = ∫[0,x] sqrt(1 + (dy/dx)^2) dx

Substituting the derivative of y with respect to x into this formula, we get:

L(x) = ∫[0,x] sqrt(1 + (1 / (1 - x^2))^2) dx

This integral can be evaluated using a substitution or by using a table of integrals. After evaluating the integral, we get the arc length function for the curve:

L(x) = (1/2) * (pi/2 - sin−1(x)) + (1/2) * x * sqrt(1 - x^2)

Therefore, the arc length function for the curve y = sin−1(x) 1 − x2 with starting point (0, 1) is L(x) = (1/2) * (pi/2 - sin−1(x)) + (1/2) * x * sqrt(1 - x^2), where x is between 0 and 1.

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The solution to the inequality is x > 5, option D is correct.

The given inequality is -3(2x – 5) < 5(2 – x)

Expanding the parentheses:

-6x + 15 < 10 - 5x

Moving all the x terms to the left-hand side and the constants to the right-hand side:

-6x + 5x < 10 - 15

-x < -5

Multiplying both sides by -1 and reversing the inequality:

x > 5

An open circle is at 5 and a bold line starts at 5 and is pointing to the right represents the inequality

Therefore, the solution to the inequality is x > 5.

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The number of late insurance claim payouts per 100 should be measured with a p-chart. Therefore, the correct option is (e) p-chart.

A p-chart is a type of control chart used to monitor the proportion of nonconforming items in a sample, where nonconforming items are those that do not meet a certain quality standard or specification. In this case, the proportion of late insurance claim payouts would be the proportion of nonconforming items.

A p-chart is appropriate when the sample size is constant and the number of nonconforming items per sample can be either small or large. It is used to monitor the stability of a process and to detect any changes or shifts in the proportion of nonconforming items over time.

An X-bar chart and R-chart are used to monitor the mean and variability of a continuous variable, respectively, and would not be appropriate for measuring the number of nonconforming items.

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the values of x in [0, 2π] where the graph of f(x) has a horizontal tangent are x = 2π/3, x = 4π/3, and x = π.

To find the values of x in [0, 2π] where the graph of f(x) = x + 2sin(x) has a horizontal tangent, we need to find where the derivative of the function is zero or undefined.

The derivative of f(x) is:

f'(x) = 1 + 2cos(x)

For the derivative to be zero, we need:

1 + 2cos(x) = 0

Solving for cos(x), we get:

cos(x) = -1/2

This is true when x = 2π/3 or x = 4π/3.

Now we need to check if the derivative is undefined at any point in the interval [0, 2π]. The derivative is undefined when cos(x) = -1, which occurs at x = π.

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The next term in the sequence is 32. The formula for the nth term of this sequence is [tex]a_n = 8 + (n - 1) * 6[/tex]. The sum of the first 100 terms of the sequence is 30100.

To find the next term in the sequence, we need to determine the pattern of the sequence. By observing the given sequence 8, 14, 20, 26, we can see that each term is obtained by adding 6 to the previous term. Therefore, the common difference in this arithmetic sequence is 6.

So, the next term in the sequence is 32.

To find the formula for the nth term of an arithmetic sequence, we can use the formula:

[tex]a_n = a_1 + (n - 1) * d[/tex],

where [tex]a_n[/tex] represents the nth term, [tex]a_1[/tex] is the first term, n is the position of the term, and d is the common difference.

In this case, the first term ([tex]a_1[/tex]) is 8, and the common difference (d) is 6. Plugging these values into the formula, we can determine the nth term:

[tex]a_n = 8 + (n - 1) * 6[/tex].

To find the sum of the first 100 terms of the sequence, we can use the formula for the sum of an arithmetic series:

[tex]S_n = (n/2) * (a_1 + a_n)[/tex],

where [tex]S_n[/tex] represents the sum of the first n terms.

In this case, we want to find the sum of the first 100 terms, so n = 100. Plugging in the values of n, [tex]a_1[/tex], and [tex]a_n[/tex] into the formula, we can calculate the sum:

[tex]S_{100} = (100/2) * (8 + a_{100})[/tex].

Since we already have the formula for the nth term ([tex]a_n[/tex]), we can substitute that into the formula for the sum:

[tex]S_{100} = (100/2) * (8 + (100 - 1) * 6)[/tex].

Now we can simplify this expression to find the sum of the first 100 terms.

[tex]S_{100} =30100[/tex].

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The area of the circle is 121π square units.

The circumference of a circle is given by the formula C = 2πr, where C is the circumference and r is the radius. In this case, we are given that the circumference measures 22π units. Therefore, we can set up the equation:

22π = 2πr

To find the radius, we can divide both sides of the equation by 2π:

r = 22π / (2π)

r = 11

Now that we know the radius is 11 units, we can calculate the area of the circle using the formula A = πr^2:

A = π(11)^2

A = 121π

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Answer:

378

Step-by-step explanation:

To form a 5-letter word from the letters of the word FORMULATED, we need to select 4 letters out of the 9 non-vowel letters (F, R, M, L, T, D), and then append one of the 3 vowels (O, A, E) to the end of the word.

The number of ways to select 4 letters out of the 9 non-vowel letters is given by the combination formula:

C(9, 4) = 9! / (4! * 5!) = 126

For each of these combinations of 4 letters, we can append one of the 3 vowels to form a 5-letter word with a vowel at the end. So the total number of 5-letter words that can be formed is:

126 x 3 = 378

Therefore, there are 378 5-letter words that can be formed from the letters of the word FORMULATED if each word has to have a vowel at the end.

The determinant of the given matrix = 2455

To find the determinant of the given matrix using cofactor expansion, let's expand along the first row:

det([5 0 -4 4]

[5 11 5 -7]

[-1 0 6 5]

[7 5 0 3])

Expanding along the first row, we can use the cofactor expansion formula:

det(A) = a11 * C11 - a12 * C12 + a13 * C13 - a14 * C14

where aij represents the element at the ith row and jth column of the matrix, and Cij represents the cofactor of the element aij.

Calculating the cofactors for each element:

C11 = (-1)^(1+1) * det([11 5 -7][0 6 5][5 0 3])

= 1 * (11 * 6 * 3 + 5 * 5 * 0 + (-7) * 0 * 0 - 5 * 6 * 0 - (-7) * 5 * 3 - 0 * 0 * 5)

= 1 * (198 + 0 + 0 - 0 - (-105) - 0)

= 1 * (198 + 0 + 0 + 105 + 0)

= 1 * (303)

= 303

C12 = (-1)^(1+2) * det([5 5 -7][-1 6 5][7 0 3])

= -1 * (5 * 6 * 3 + (-7) * 0 * 7 + 5 * 5 * 3 - 7 * 6 * 5 - 5 * 0 * 3 - 5 * (-7) * 0)

= -1 * (90 + 0 + 75 - 210 - 0 - 0)

= -1 * (-75)

= 75

C13 = (-1)^(1+3) * det([5 11 -7][-1 0 5][7 5 3])

= 1 * (5 * 0 * 3 + (-7) * 5 * 7 + 11 * 5 * 3 - (-7) * 0 * 11 - 11 * 5 * 0 - 5 * (-7) * 3)

= 1 * (0 + (-245) + 165 - 0 - 0 - (-105))

= 1 * (-245 + 165 + 105)

= 1 * 25

= 25

C14 = (-1)^(1+4) * det([5 11 5][-1 0 6][7 5 0])

= -1 * (5 * 0 * 0 + 5 * 6 * 7 + 11 * 7 * 0 - 11 * 0 * 7 - 7 * 6 * 0 - 5 * 5 * 0)

= -1 * (0 + 210 + 0 - 0 - 0 - 0)

= -1 * (210)

= -210

Now, we can calculate the determinant using the cofactor expansion formula:

det(A) = a11 * C11 - a12 * C12 + a13 * C13 - a14 * C14

det(A) = 5 * 303 - 0 * 75 - (-4) * 25 - 4 * (-210) = 2455

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It is advisable to include more time points or use a longer time series for a more reliable assessment of warming patterns.

Based on your knowledge of statistics, there are a few concerns with your friend's analysis plan who is concentrating in Environmental Science and Public Policy.

First, the approach of conducting separate hypothesis tests for each of the 200 locations increases the risk of Type I errors (false positives) due to multiple testing. To mitigate this, your friend could apply a multiple testing correction, such as the Bonferroni correction, to control the overall false positive rate.

Second, using only the locations where the mean temperature in January 2018 is significantly higher than January 2008 might lead to biased conclusions, as it ignores locations where the temperature has not changed or even decreased. A better approach would be to perform a combined analysis, such as a linear mixed-effects model, that takes into account all the locations simultaneously and considers the variability between them.

Lastly, comparing only two time points (January 2008 and January 2018) might not provide a comprehensive understanding of the temperature trends.

It is advisable to include more time points or use a longer time series for a more reliable assessment of warming patterns.

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The value of k is 39.(constant)

The value of  a = -24 and b = 0. (constant)

A. To find the values of a and b, we can start by using the information about the local minimum and maximum points to set up a system of equations.

First, we know that the derivative of the function, cubic polynomial function f'(x), is equal to zero at both the local minimum and maximum points:

f'(x) = 12x^2 + 2ax + b

f'(-2) = 12(-2)^2 + 2a(-2) + b = 0  (local minimum at x = -2)

f'(0) = 12(0)^2 + 2a(0) + b = b  (local maximum at x = 0)

We also know that the second derivative of the function, f''(x), changes sign at both of these points.

f''(x) = 24x + 2a

f''(-2) = 24(-2) + 2a < 0 (concave down at x = -2)

f''(0) = 24(0) + 2a > 0 (concave up at x = 0)

Using these equations and inequalities, we can solve for the values of a and b.

From f'(-2) = 0, we have:

-48 - 2a + b = 0

From f'(0) = 0, we have:

b = 0

Substituting b = 0 into the first equation, we have:

-48 - 2a = 0

a = -24

Therefore, the values of a and b are a = -24 and b = 0.

B. To find the value of k, we can integrate f(x) from 0 to 1 and set the result equal to 32:

∫[0,1] f(x) dx = ∫[0,1] (4x^3 - 24x^2 + k) dx = [x^4 - 8x^3 + kx]_0^1

= (1^4 - 8(1)^3 + k(1)) - (0^4 - 8(0)^3 + k(0)) = 1 - 8 + k = -7 + k

Therefore, we have:

∫[0,1] f(x) dx = -7 + k = 32

Solving for k, we have:

k = 32 + 7 = 39

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The approximate shape of the sampling distribution of the sample mean in this scenario will be normal.

When a large sample (n ≥ 30) of observations is selected from a right-skewed population, the Central Limit Theorem states that the sampling distribution of the sample mean will be approximately normal, regardless of the underlying distribution of the population.

This is because as the sample size increases, the sample mean becomes more and more normally distributed, with a mean equal to the population mean and a standard deviation equal to the population standard deviation divided by the square root of the sample size.

Therefore, the approximate shape of the sampling distribution of the sample mean in this scenario will be normal.

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The second mixed partials of z = x^4 - 9xy - 6y^3 are equal.

To find the four second partial derivatives, we first need to find the first partial derivatives:

[tex]∂z/∂x = 4x^3 - 9y[/tex]

[tex]∂z/∂y = -9x - 36y^2[/tex]

[tex]∂^2z/∂x^2 = 12x^2[/tex]

[tex]∂^2z/∂y^2 = -72y[/tex]

[tex]∂^2z/∂x∂y = -9[/tex]

[tex]∂^2z/∂y∂x = -9[/tex] (since the second mixed partial derivatives are equal)

Therefore, the four second partial derivatives are:

[tex]∂^2z/∂x^2 = 12x^2[/tex]

[tex]∂^2z/∂y^2 = -72y[/tex]

[tex]∂^2z/∂x∂y = -9[/tex]

[tex]∂^2z/∂y∂x = -9[/tex] (since the second mixed partial derivatives are equal)

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answer:

the answer is £291.8

Step-by-step explanation:

it is basically telling you to take aways the answer so you will do £300 take away 8 also take away 20% and that will equal £291.8

The labelled parts of the graph is added as an attacment

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

The graph

The graph is a quadratic graph and we can label them using the following keys

Using the above as a guide, we have the following points

Minimum = (0.5, -2.5)

x-intercepts = (2, 0) and (-1, 0)

y-intercept = (0, -2)

See attachment for the labelled graph

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The four integers are 4, 6, 8, and 13.

To find the four integers, we need to consider the given information. The mode, which is the value that appears most frequently, is 4. Since the median is 7.5, we know that one of the integers must be 7 or 8. Furthermore, the mean of the four integers is 8, indicating that their sum is 32. With a range of 9, the maximum value must be 9 greater than the minimum value. By considering these constraints, we find that the four integers that satisfy the given conditions are 4, 6, 8, and 13.

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