Let CD be a line segment of length 6. A point P is chosen at random on CD. What is the probability that the distance from P to C is smaller than the square of the distance from P to D? Hint: If we think of C as having coordinate 0 and D as having coordinate 6, and P as having coordinate, then the condition is equivalent to the inequality < (6 − x)²

The quarter circle represents a distance of one-fourth of the circumference of a circle with a radius equal to the velocity of the object. Since the time interval is six seconds, the angular displacement of the quarter circle is (1/4) x 2π = π/2 radians. Therefore, the distance traveled along the quarter circle is [(π/2) x velocity + a + b]/6

To calculate the object's average speed during the six-second interval, we will first determine the distance traveled in each segment and then divide the total distance by the total time. In this case, the object moves in three parts: a quarter circle and two line segments.

Step 1: Determine the radius of the quarter circle using the given information (such as velocity or distance). To find the average speed of the object during the six-second interval represented by the quarter circle and two line segments, we need to first calculate the total distance traveled by the object.

Step 2: Calculate the circumference of the entire circle by using the formula C = 2πr, where C is the circumference and r is the radius.

Step 3: Find the length of the quarter circle by dividing the circumference by 4, as a quarter circle represents one-fourth of the entire circle.

Step 4: Determine the lengths of the two line segments using the given information.

Step 5: Add the length of the quarter circle and the lengths of the two line segments to find the total distance traveled.

Step 6: Divide the total distance traveled by the total time of six seconds to find the object's average speed during the six-second interval.
The two line segments represent the remaining distance traveled by the object. Let's assume the lengths of the two line segments are a and b, respectively. Then, the total distance traveled by the object is (π/2) x velocity + a + b.

Now, we can calculate the average speed of the object as the total distance traveled divided by the time interval of six seconds:
Average speed = (Total distance traveled) / (Total time)

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The slope of the linaer equation is a = 1/2.

A general linear equation can be written as:

y = a*x + b

Where a is the slope and b is the y-intercept.

If the line passes through two points (x₁, y₁) and (x₂, y₂), then the slope of that line is given by:

a = (y₂ - y₁)/(x₂ - x₁)

Here we know two points on the line which are (-4, -1) and (4, 3), replacing these values in the formula above we will get:

a = (3 + 1)/(4 + 4) = 4/8 = 1/2

That is the slope of the linear equation.

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The statement "an endomorphism is injective if and only if it is not an eigenvalue" is not true in general.

An endomorphism is a linear map from a vector space to itself. An endomorphism is said to be injective if it preserves distinctness of elements, i.e., if it maps different vectors to different vectors. On the other hand, an eigenvalue of an endomorphism is a scalar that satisfies a certain equation involving the endomorphism and a non-zero vector called an eigenvector.

Now, the statement "an endomorphism is injective if and only if it is not an eigenvalue" is not true in general. In fact, the two concepts are not directly related. It is possible for an endomorphism to be injective and have eigenvalues, and it is possible for an endomorphism to not have eigenvalues and not be injective.

However, if we consider a specific case where the endomorphism is a linear transformation on a finite-dimensional vector space, then we can make the following statement: "an endomorphism is injective if and only if it does not have 0 as an eigenvalue." This statement is true because an endomorphism is injective if and only if its kernel (the set of vectors it maps to 0) is trivial (only the zero vector). This happens if and only if 0 is not an eigenvalue, since an eigenvalue of 0 means that there exists a non-zero vector that is mapped to 0.

In summary, the statement "an endomorphism is injective if and only if it is not an eigenvalue" is not true in general, but it is true in the specific case of a linear transformation on a finite-dimensional vector space: "an endomorphism is injective if and only if it does not have 0 as an eigenvalue."

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The equation 2 - 3(x + 4) = 3(3 - x) has no solution for x

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

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

Open the brackets

So, we have

2 - 3x - 12 = 9 - 3x

Evaluate the like terms

So, we have

-10 = 9

The above equation is false

Hence, the equation has no solution

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The equation for the number of chocolates manufactured on a specific day is:

Chocolates(day) = 50 + 5 * (day-1)

The number of chocolates manufactured on day 7 = 80.

To find an equation for the number of chocolates manufactured on a specific day, we can use a linear interpolation method. The given data is:

Day:      1,  2,  3
Chocolates: 50, 65, 60

Step 1: Find the average increase in chocolates per day:
(65-50) + (60-65) = 15 - 5 = 10
The total increase is 10 over 2 days, so the average increase per day is 10/2 = 5 chocolates per day.

Step 2: Create a linear equation based on the initial value and the average increase:
Chocolates(day) = Initial chocolates + (Average increase * (day-1))
Chocolates(day) = 50 + 5 * (day-1)

Step 3: Find the number of chocolates manufactured on day 7:
Chocolates(7) = 50 + 5 * (7-1)
Chocolates(7) = 50 + 5 * 6
Chocolates(7) = 50 + 30
Chocolates(7) = 80

The equation for the number of chocolates manufactured on a specific day is Chocolates(day) = 50 + 5 * (day-1), and the number of chocolates manufactured on day 7 is 80.

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There is a 46.39% probability that in one garbage dump there will be garbage with an amount between 7000 ton to 9000 ton per day.

To answer the first part of the question, we can use the standard normal distribution and calculate the z-value for the given range of garbage amount:

z = (9000 - 8500) / 154 = 0.3247

z = (7000 - 8500) / 154 = -0.974

Using a standard normal distribution table, we can find that the probability of a garbage dump having an amount between 7000 and 9000 tons per day is:

P(-0.974 < Z < 0.3247) = P(Z < 0.3247) - P(Z < -0.974)

= 0.6274 - 0.1635

= 0.4639

Therefore, there is a 46.39% probability that in one garbage dump there will be garbage with an amount between 7000 ton to 9000 ton per day.

For the second part of the question, we can calculate the confidence interval for the average garbage amount using the formula:

Confidence interval = X± Zα/2 * σ/√n

where Xis the sample mean (8,500 ton), σ is the population standard deviation (154 ton), n is the sample size (50), Zα/2 is the critical value of the standard normal distribution for the given significance level and is calculated as:

Zα/2 = ± 1.96 (for 5% significance level)

Substituting the values, we get:

Confidence interval = 8500 ± 1.96 * 154 / √50

= 8500 ± 43.17

= (8456.83, 8543.17)

The interpretation of this confidence interval is that we are 95% confident that the true population mean of garbage amount per day in Jakarta lies between 8456.83 and 8543.17 tons. This means that if we were to take multiple samples of size 50 from the population and compute their confidence intervals using the same method, 95% of those intervals would contain the true population mean.

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The dimensions of a rectangular box with a volume of 50 cubic inches that has the greatest amount of surface area are:

length = 5 in,

height = 5 in.

and width = 2 in

Let us assume that l be the length, w be the width and h be the height of the rectangular gift box.

The dimensions of a box with a volume of 50 cubic inches.

We know that the formula for the volume of rectangular box is:

V = l × w × h

here V = 50

After prime factorization,

V = 5 × 5 × 2

As length and width cannot be equal, the height and length of the rectangular box must be 5 in.

S0, l = 5 in, h = 5 in and w = 2 in

We know that formula for the surface area of rectangular prism is:

S = 2(lw + wh + lh)

Substituting above values of l,w, h,

S = 2(5 × 2 + 2 × 5 + 5 × 5)

S = 2 × (10 + 10 + 25)

S = 2 × 45

S = 90 in²

which is the greatest surface area = 90 in²

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1. MULTIPLE-CHOICE CONSTRAINT - c.; 2. COREQUISITE CONSTRAINT - e.; 3. K OUT OF N ALTERNATIVES CONSTRAINT - b.; 4. CONDITIONAL CONSTRAINT - a.; 5. MUTUALLY EXCLUSIVE CONSTRAINT - d.

1. MULTIPLE-CHOICE CONSTRAINT - an example of the this is c. A constraint requiring that the sum of two or more binary variables equals one. Thus, any feasible solution makes a choice of which variable to set equal to one.

2. COREQUISITE CONSTRAINT - This is associated with e. A constraint requiring that two binary variables be equal and that they are both either in or out of the solution.

3. K OUT OF N ALTERNATIVES CONSTRAINT - This corresponds to b. A constraint requiring that the sum of n binary variables equals k.

4. CONDITIONAL CONSTRAINT - This matches with a. A constraint involving binary variables that does not allow certain variables to equal one unless certain other variables are equal to one.

5. MUTUALLY EXCLUSIVE CONSTRAINT - This fits the description of d. A constraint requiring that the sum of two or more binary variables be less than or equal to one. Thus, if one of the variables equals one, the others must equal zero. However, all variables could equal zero.

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Answer:

17.2

Step-by-step explanation:

I took the test and got it wrong, but when it showed me the answer, it said 17.2

The probability that the randomly selected point is in the semicircular region is 628/3653.

Probability refers to potential. A random event's occurrence is the subject of this area of mathematics.

The range of the value is 0 to 1. Mathematics has incorporated probability to forecast the likelihood of various events.

The degree to which something is likely to happen is basically what probability means.

We have,

Radius of semicircle = 4 inches.

Side of Square= 11 inch

Now, area of semicircle = πr²/2

= 3.14 x 16/2

= 25.12 inch²

and, Area of square = s x s

= 11 x 11

= 121 inch²

So, the probability that the randomly selected point is in the semicircular region

= 25.12 / 146.12

= 2512 / 14612

= 628 / 3653

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Answer:

$7200

step by step Explanation:

Cameron borrowed $18,000 at an interest rate of 10% for a period of 4 years. To calculate the interest, we can use the simple interest formula: I = P * r * t, where I is the interest, P is the principal amount, r is the interest rate, and t is the time period.

Plugging in the values, we get I = 18,000 * 0.10 * 4 = $7,200. Therefore, Cameron paid a total of $7,200 in interest over the 4-year period.

The volume of the right rectangular prism is 156 cubic centimeters.

We have,

The formula for the volume of a rectangular prism is:

V = l x w x h

where V is the volume, l is the length, w is the width, and h is the height.

Using the given values, we can substitute them into the formula to find the volume of the rectangular prism:

V = 13 cm x 4 cm x 3 cm

V = 156 cm^3

Therefore,

The volume of the right rectangular prism is 156 cubic centimeters.

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A pendulum that is approximately 24.75 cm long will have a period of one second.

We have,

We can use the formula T = k x √(L), where T is the period of the pendulum, L is the length of the pendulum, and k is a constant of proportionality.

To find k, we can use the information given for the pendulum with a length of 12 cm and a period of 0.7 seconds:

0.7 = k x √(12)

Solving for k:

k = 0.7 / √(12) ≈ 0.202

a.

Now we can use this value of k to find the period of a pendulum that is 8 cm long:

T = k x √(L) = 0.202 x √(8) ≈ 0.568 seconds

b.

To find the length of a pendulum that has a period of one second, we can rearrange the formula to solve for L:

T = k x √(L)

√(L) = T / k

L = (T / k)²

Plugging in T = 1 and k = 0.202, we get:

L = (1 / 0.202)² ≈ 24.75 cm

Therefore,

A pendulum that is approximately 24.75 cm long will have a period of one second.

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To find the probability that 1 out of the 3 items in the sample is defective when a properly functioning machine produces 8 out of 10 non-defective items, follow these steps:

1. Determine the probability of a single item being defective and non-defective:
  - Probability of non-defective (P(ND)) = 8/10 = 0.8
  - Probability of defective (P(D)) = 1 - P(ND) = 1 - 0.8 = 0.2

2. Use the binomial probability formula for finding the probability of exactly 1 defective item in a sample of 3:
  - P(X = 1) = (3 choose 1) * (P(D))^1 * (P(ND))^(3-1)
 
3. Calculate the binomial coefficient (3 choose 1):
  - (3 choose 1) = 3! / (1! * (3-1)!) = 3

4. Plug in the values and solve the formula:
  - P(X = 1) = 3 * (0.2)^1 * (0.8)^2
  - P(X = 1) = 3 * 0.2 * 0.64
  - P(X = 1) = 0.384

So, the probability that 1 of the 3 items in the sample is defective when the machine is functioning properly is 0.384 or 38.4%.

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a) The exponential function that models this situation is given as follows: C(t) = 7000(1.1)^t.

b) The cost when you are first eligible is found replacing the value of t by the number of years left for you to be eligible.

An exponential function has the definition presented as follows:

y = ab^x.

In which the parameters are given as follows:

The initial cost is of $7000, hence the parameter a is given as follows:

a = 7000.

After one year, the cost is of 7700, hence the parameter b is obtained as follows:

b = 7700/7000

b = 1.1.

Thus the function is:

C(t) = 7000(1.1)^t.

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To obtain the following tableau, we pivot around the element at the intersection of the x1 column and the x6 row:

| BV | x1 | x2 | x3 | x4 | x5 | x6 | x7

A variable (from the Latin variabilis, "changeable") is a mathematical symbol. A variable can be a number, a vector, a matrix, a function, its argument, a set, or an element of a set.

To solve the given linear programming problem using the Big M method, we need to convert the problem into standard form by adding slack, surplus, and artificial variables as needed. Then, we use the simplex algorithm to iteratively improve the solution until we reach an optimal solution.

Let's first write the problem in standard form by introducing slack and artificial variables as follows:

Maximize Z = -2x1 + x2 - 4x3 + 3x4

Subject to:

x1 + x2 + 3x3 + 2x4 + x5 = 4

x1 - x3 + x4 - x6 = -1

2x1 + x2 + x7 = 2

x1 + 2x2 + x3 + 2x4 = 2

where x5, x6, x7 are slack and artificial variables.

We can see that the problem is infeasible because the last equation is inconsistent with the second equation. To make the problem feasible, we need to introduce artificial variables for the second equation and modify the objective function to penalize their use. This leads us to the following modified problem:

Maximize Z = -2x1 + x2 - 4x3 + 3x4 - M(x6 + x8)

Subject to:

x1 + x2 + 3x3 + 2x4 + x5 = 4

x1 - x3 + x4 + x6 - x8 = -1

2x1 + x2 + x7 = 2

x1 + 2x2 + x3 + 2x4 = 2

where x5, x6, x7, x8 are slack and artificial variables, and M is a large positive constant.

Now, we can construct the initial simplex tableau as follows:

| BV | x1 | x2 | x3 | x4 | x5 | x6 | x7 | x8 | RHS |

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

| x5 | 1  | 1  | 3  | 2  | 1  | 0  | 0  | 0  |  4  |

| x6 | 1  | 0  | -1 | 1  | 0  | 1  | 0  | -1 | -1  |

| x7 | 2  | 1  | 1  | 0  | 0  | 0  | 1  | 0  |  2  |

| x8 | 1  | 1  | 2  | 1  | 0  | 0  | 0  | -1 |  2  |

| Z  | -2 | 1  | -4 | 3  | 0  | M  | 0  | -M |  0  |

The column for the objective function includes the coefficients of the original variables and the artificial variables, with the artificial variables having a coefficient of M in the objective function.

To perform the simplex algorithm, we select the most negative coefficient in the bottom row, which corresponds to x1, as the entering variable. We then select the row with the smallest nonnegative ratio of the RHS to the coefficient of the entering variable, which corresponds to x6, as the leaving variable. We pivot around the element in the intersection of the x1 column and the x6 row to obtain the next tableau:

| BV | x1 | x2 | x3 | x4 | x5 | x6 | x7

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Answer:

3/14 as a fraction or 0.21428571428 as a decimal

Step-by-step explanation:

Hi! It seems like you have a reduced row echelon form (RREF) matrix and you want to find the solution of the linear system using row operations. Based on the given augmented matrix:

(1  62  -5  | -2)
(0   0   2  | -8)
(0   0   0  |  1)

We can work from right to left, performing row operations to create a variable z.

Step 1: Since the third row has only one non-zero entry (1) in the last column, we can identify it as z:
z = 1

Step 2: Move to the second row and use the equation to solve for y:
2y = -8
y = -8 / 2
y = -4

Step 3: Move to the first row and use the equation to solve for x:
x + 62y - 5z = -2
x + 62(-4) - 5(1) = -2
x - 248 - 5 = -2
x = -2 + 248 + 5
x = 251

The solution to the linear system is x = 251, y = -4, and z = 1.

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Answer: B: y-axis, because the x-coordinate is the opposite

Step-by-step explanation:

If the x coordinate is negative, it must have been reflected over the y axis.

likewise, if the y coordinate is negative, it must have been reflected over the x axes.

it should make intuitive sense :)

Answer:b

Step-by-step explanation:

Therefore, the standard deviation of the sampling distribution of the sample proportion is approximately 0.024, rounded to three decimal places.  Therefore, the statement "The sampling distribution is normal or approximately normal" is true.

a) The mean of the sampling distribution of the sample proportion is equal to the population proportion, which is given as 0.07:

μp = p = 0.07

b) The standard deviation of the sampling distribution of the sample proportion is given by the formula:

σp = √[(p*(1-p))/n]

where n is the sample size. Substituting the given values, we get:

σp = √[(0.07*(1-0.07))/200]

≈ 0.024

c) To determine whether the sampling distribution is normal or approximately normal, we need to check two conditions: the sample size and the shape of the population distribution.

The sample size is given as n = 200, which is large enough for the Central Limit Theorem to apply.

The shape of the population distribution is not given, but since the sample size is large, we can assume that the distribution of the sample proportion will be approximately normal by the Central Limit Theorem.

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Answer:4

Step-by-step explanation:

The system of inequalities are graphed accordingly.

A system   of linear inequalities is similar to a system of linear equations, except that it is made up of inequalities  rather than equations.

For the system of inequalities y < 2(x+2)² + 3 and y > x+2, we can follow these steps ....

Graph each inequality separately on the same coordinate plane.

For   y < 2(x+2)² + 3,   we can begin by graphing y = 2(x+2)²   + 3 This is a parabola that opens upwards and has its vertex at (-2,3).

After the above   we need to determine which side of the parabola satisfies

y   < 2(x+2)² + 3

For y > x+2,     we can begin by graphing y = x+2. This is a line with a y  -intercept of 2 and a slope of    1

Next,    we need to determine which side of the line satisfies y   > x+2. .We can shade this region to indicate the solution set.

Determine the region that satisfies both inequalities by finding the overlapping shaded regions.

The region that satisfies both inequalities is the region where the shaded regions overlap. In this case, it is the region between the parabola and the line.

Identify the solution set by selecting a point in the overlapping shaded region and testing it in each inequality.

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The plot of annual sheep livestock numbers against the year in Asia from 1961 to 2007 would provide a visual representation of the trends, fluctuations, peaks and valleys, patterns, and outliers in sheep population, offering valuable insights into the dynamics of sheep farming in Asia during the period.

The plot would show a graph with the years on the x-axis and the annual sheep livestock numbers on the y-axis. The plot would display data points connected by lines, representing the annual sheep livestock numbers for each year from 1961 to 2007.

The main features of the plot may include the following:

Trend: The plot would show the overall trend of sheep livestock numbers in Asia from 1961 to 2007. It may reveal whether the sheep population has increased, decreased, or remained relatively stable over time.

Fluctuations: The plot may show fluctuations or variations in sheep livestock numbers from year to year. These fluctuations could be due to various factors such as changes in farming practices, climate conditions, disease outbreaks, or economic factors.

Peaks and Valleys: The plot may display peaks and valleys, indicating the highest and lowest points of annual sheep livestock numbers during the period. These peaks and valleys may provide insights into significant events or trends affecting sheep population in Asia.

Patterns: The plot may reveal patterns or cycles in sheep livestock numbers over time. For example, there may be recurring patterns of increase or decrease in sheep population at regular intervals or irregular patterns that indicate changes in sheep farming practices or market demand.

Outliers: The plot may also show outliers, which are data points that deviate significantly from the overall trend. These outliers could represent exceptional years with unusually high or low sheep livestock numbers, which may warrant further investigation.

Therefore, the plot of annual sheep livestock numbers against the year in Asia from 1961 to 2007 would provide a visual representation of the trends, fluctuations, peaks and valleys, patterns, and outliers in sheep population, offering valuable insights into the dynamics of sheep farming in Asia during the period.

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Answer:

20 females

Step-by-step explanation:

40%=0.4

0.4*50=20

Answer:

10

Step-by-step explanation:

50/10 = 5

5 Seals per 10 %

5 x 2 (20 percent) gives us 10 Seals

Since the number of digits is even, we have n = 2k for some integer k, and thus the sum has k pairs. This means that the sum is divisible by 11, and therefore the palindromic integer is also divisible by 11.

To prove that every palindromic integer with even number of digits is divisible by 11, we can use the following approach:

Let's consider an arbitrary palindromic integer with an even number of digits. We can represent it as follows:

a1a2a3...an-2an-1anan-1an-2...a3a2a1

where a1, a2, ..., an-1, an are digits.

Now, we can group the digits in pairs:

a1a2, a3a4, ..., an-2an-1, anan-1

and compute their sum:

(a1a2 + a3a4 + ... + an-2an-1 + anan-1)

We notice that the sum of the first and last pairs is equal to the sum of the second and second-to-last pairs, and so on. This means that the sum can be written as:

(a1a2 + anan-1) + (a3a4 + an-2an-1) + ...

Now, we can factor out 11 from each pair:

(a1a2 + anan-1) + (a3a4 + an-2an-1) + ... = 11*(a1 - an) + 11*(a2 - an-1) + ...

Since the number of digits is even, we have n = 2k for some integer k, and thus the sum has k pairs. This means that the sum is divisible by 11, and therefore the palindromic integer is also divisible by 11.

Therefore, we have proved that every palindromic integer with an even number of digits is divisible by 11.

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The appropriate test to use in this scenario would be the t-test in Statcrunch.

This is because the sample size is less than 30 (n=16), and the population standard deviation is unknown.

Since the population is normally distributed, a t-test would be appropriate to estimate the confidence interval on the average levels of COVID antigens in the sample.

The t-test is used when the population standard deviation is unknown and must be estimated from the sample. The t-distribution is used to estimate the population means, with the degrees of freedom determined by the sample size. Therefore, in this scenario, a t-test would be the most appropriate test to use.

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Check the picture below.

Answer: B.146 feet

Step-by-step explanation:

The sale price of the ticket is $57.05

The ticket for the summer concert is $81.50

The ticket will be on sale for 30% off

The sale price can be calculated as follows

81.50 × 30/100

= 81.50 × 0.3

= 24.45

Sale price= 81.50-24.45

= 57.05

Hence the sale price is $57.05

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The correct answer is F, which means that both options C and D, are present in the specific example.


Option C refers to the Rosenthal Effect. In in this case, it suggests that the children are demonstrating it because they are changing their behavior. This could happen if the children feel like they need to live up to the researcher's expectations or if they think their behavior will affect their scores on the SOFIT tool.

Option D refers to the Hawthorne Effect. In this case, it suggests that the researcher is demonstrating it because they are inflating their scores due to their presence. This could happen if the researcher feels like they need to justify their presence or if they think their observations will be more valuable if they show higher levels of physical activity.

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The null hypothesis assumes that there is no change in the percentage, while the alternative hypothesis suggests an increase in the proportion of workers with a travel time exceeding 60 minutes.

We have,

The null and alternative hypotheses for testing the economist's belief can be defined as follows:

Null hypothesis (H₀): The percentage of workers with a travel time to work of more than 60 minutes is still 12.1%.

Alternative hypothesis (H₁): The percentage of workers with a travel time to work of more than 60 minutes has increased.

In mathematical notation:

H₀: p = 0.121 (p represents the proportion of workers with a travel time > 60 minutes)

H₁: p > 0.121

Thus,

The null hypothesis assumes that there is no change in the percentage, while the alternative hypothesis suggests an increase in the proportion of workers with a travel time exceeding 60 minutes.

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To find the maximum distance between the point (1,3) and a point on the circle of radius 4 centered at the origin, we can use the distance formula. Let (x,y) be a point on the circle, then the distance between (1,3) and (x,y) is given by:

d = √((x-1)^2 + (y-3)^2)

Since the point (x,y) lies on the circle of radius 4 centered at the origin, we have:

x^2 + y^2 = 16

We can solve for y in terms of x:

y = ±√(16 - x^2)

Substituting into the distance formula, we get:

d = √((x-1)^2 + (±√(16 - x^2) - 3)^2)

Simplifying and squaring, we get:

d^2 = (x-1)^2 + (±√(16 - x^2) - 3)^2

d^2 = x^2 - 2x + 1 + (16 - x^2 - 6√(16 - x^2) + 9)  (or d^2 = x^2 - 2x + 1 + (16 - x^2 + 6√(16 - x^2) + 9))

d^2 = -x^2 - 2x + 26 ± 6√(16 - x^2)

To maximize the distance, we want to maximize d^2. Note that the maximizing distance should be at least 4, which means that we only need to consider the positive root of d^2. The critical points of d^2 occur when the derivative is zero, so we differentiate with respect to x:

d(d^2)/dx = -2x - 2(±3x/√(16 - x^2))

Setting this equal to zero, we get:

x = ±4/√5, ±2√2/√5, 0

Note that x = 0 corresponds to the point (0,4) on the circle, which has distance 5 from (1,3), so it is not a critical point. The other critical points correspond to the points where the circle intersects the x-axis and the y-axis. Evaluating d^2 at these critical points, we get:

d^2 = 18 ± 6√6

The maximum distance is therefore √(18 + 6√6), which occurs when x = ±4/√5.

#SPJ11