what is measure q,r and s

It will be more difficult to correctly identify an effect using a t-test with decreasing sample size and increasing variability of the effect.

When the sample size decreases, the statistical power of the t-test decreases, making it harder to detect a significant effect. With a smaller sample size, the t-test will be less able to distinguish between random variability and true differences in the data. On the other hand, increasing sample size will generally increase the statistical power of the t-test, making it easier to detect a significant effect.

Similarly, increasing the variability of the effect will make it harder to detect a significant effect because the difference between the means of the groups will be smaller relative to the variability. This reduces the t-value and increases the p-value, making it more likely that the effect will be attributed to chance. Conversely, decreasing the variability of the effect will make it easier to detect a significant effect.

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The latest start time of Activity A3 is 15 weeks.

We have the information from the question is:

We know that activity A3 could only be started after the completion of activity A1 and A2. The activity A2 can only be started after activity A1 is finished. Hence, to find the latest completion time, we need to find the time spend on both activity A1 and A2.

However, if the activities need to be performed sequentially (i.e., A1, followed by A2, and then A3):

=> Complete Activity A1, which takes 5 weeks.

=> Complete Activity A2, which takes 8 weeks. (Total time: 5 + 8 = 13 weeks)

=> Start and complete Activity A3, which takes 2 weeks. (Total time: 13 + 2 = 15 weeks)

In this case, the earliest completion time of Activity A3 is 15 weeks.

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The dimensions of the rectangular poster are:

width = 6 inches and length = 21 inches.

We have,

Let's assume that the width of the poster is "w" inches.

According to the problem, the length of the poster is 9 more inches than two times its width.

l = 2w + 9

Area of the poster = 45 square inches.

Area of a rectangle:

A = lw

Substitute the values of "l" and "w" from the above equations into the area equation:

45 = (2w + 9)w

Simplify and solve for "w":

45 = 2w^2 + 9w

0 = 2w^2 + 9w - 45

0 = w^2 + (9/2)w - 22.5

Solve for "w":

w = (-b ± √(b² - 4ac)) / 2a

where a = 1, b = 9/2, and c = -22.5

w = (-9/2 ± √((9/2)² - 4(1)(-22.5))) / 2(1)

w = (-9/2 ± √(441)) / 2

w = (-9/2 ± 21) / 2

So, the possible values for "w" are:

w = (-9/2 + 21) / 2 = 6

or

w = (-9/2 - 21) / 2 = -15/2

Since the width of the poster cannot be negative, we can discard the second solution.

The poster width is 6 inches.

We can use the equation for "l" to find the length of the poster:

l = 2w + 9 = 2(6) + 9 = 21

Therefore,

The dimensions of the rectangular poster are:

width = 6 inches and length = 21 inches.

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The probability a dichotomous test concludes negative given the actual condition is positive is known as the false negative rate or the Type II error rate.

In statistics, a dichotomous test is one that has only two possible outcomes: positive or negative. False negative rate or Type II error rate is the probability that a person who actually has the condition being tested for will receive a negative test result. This means that the test has failed to detect the presence of the condition, leading to an incorrect conclusion that the person is negative for the condition.

The false negative rate is an important measure of the accuracy of a test, particularly in medical testing where the consequences of a false negative can be serious. A high false negative rate means that a significant number of people with the condition are being missed by the test, leading to delayed diagnosis and treatment.

For example, a medical test for a disease might have a false negative rate of 10%. This means that out of 100 people who actually have the disease, 10 will receive a negative test result and be falsely reassured that they do not have the disease.

In summary, the false negative rate is the probability of a test concluding negative given the actual condition is positive and is an important factor to consider when evaluating the performance of a dichotomous test.

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There were 29 individuals in the study. The sample size can be calculated by adding 1 to the degrees of freedom (df) represented in the t-statistic.

In this case, df = 28, so 28 + 1 = 29. The report should state that p < .05, which means that the difference between treatments is statistically significant at the 5% level of significance. This indicates that there is less than a 5% chance of observing such a large difference between treatments by chance alone.

However, it is important to note that statistical significance does not necessarily imply practical significance, and the effect size should also be considered when interpreting the results of the study.

Additionally, the report should provide more information about the study design, measures, and variables to give readers a better understanding of the findings and their implications.

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You should invest approximately 4,225.95 initially to have 12,000 after nine years at an annual interest rate of 11% compounded continuously.

The formula for the future value of an investment with continuous compounding is:

[tex]FV = PV \times e^{(r\times t)[/tex]

where PV is the present value (initial investment), r is the annual interest rate in decimal form, t is the time period in years, and e is the mathematical constant approximately equal to 2.71828.

In this problem, we want to find PV, so we can rearrange the formula to solve for it:

[tex]PV = FV / e^{(r\times t)[/tex]

Substituting the given values:

[tex]PV = 12000 / e^{(0.11 \times 9)[/tex]

Using a calculator:

PV ≈ 4225.95

Therefore, you should invest approximately 4,225.95 initially to have 12,000 after nine years at an annual interest rate of 11% compounded continuously.

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The speed over the given path is √(9+(7/())^2+(5/(())^2) at t=1, where the notation "()" represents the parameterization of the path.

To find the speed over the given path, we need to first take the derivative of the parameterization with respect to t. We get: ()'=<0, 7/(), 5/(())^2>. Then, we can evaluate this derivative at t=1 to get ()'(1)=<0,7,5>. The speed at t=1 is given by the magnitude of this vector, which is √(0^2+7^2+5^2)=√74. Therefore, the speed over the given path at t=1 is √74.

In summary, to find the speed over the given path at t=1, we first take the derivative of the parameterization with respect to t and evaluate it at t=1 to get the velocity vector. Then, we find the magnitude of this vector to get the speed, which is √74.

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The inverse Laplace transform of 6s(s-8)^2 is f(t) = 3/4 - 9/16 e^(8t) + 3/32 t e^(8t). The inverse Laplace transform of each term separately,

To find the inverse Laplace transform of 6s(s-8)^2, we can use partial fraction decomposition to express the expression in terms of simpler Laplace transforms.

First, we factor the denominator of the expression to get:

6s(s-8)^2 = 6s(s-8)(s-8)

We can then use partial fraction decomposition to express this expression as:

6s(s-8)(s-8) = A/s + B/(s-8) + C/(s-8)^2

To solve for A, B, and C, we multiply both sides of the equation by the common denominator s(s-8)(s-8) and simplify to get:

6s = A(s-8)^2 + B(s)(s-8) + C(s-8)

Next, we substitute values of s that will make some of the terms vanish to solve for the coefficients A, B, and C.

Setting s = 0, we get:

0 = 64A - 8C

Setting s = 8, we get:

48 = 64A

Therefore, A = 3/4 and C = -3/32.

Substituting these values into the equation we obtained above, we get:

6s = 3/4(s-8)^2 + B(s)(s-8) - 3/32(s-8)

Simplifying, we get:

B = 9/16

Now we can express 6s(s-8)^2 in terms of simpler Laplace transforms:

6s(s-8)^2 = 3/4/s - 9/16/(s-8) - 3/32/(s-8)^2

Taking the inverse Laplace transform of each term separately, we get:

ℒ^-1 {3/4/s} = 3/4

ℒ^-1 {-9/16/(s-8)} = -9/16 e^(8t)

ℒ^-1 {-3/32/(s-8)^2} = 3/32 t e^(8t)

Therefore, the inverse Laplace transform of 6s(s-8)^2 is:

f(t) = 3/4 - 9/16 e^(8t) + 3/32 t e^(8t)

This is the solution to the problem.

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Answer:

3/2x

Step-by-step explanation:

when writing an equation for a graph its change in y over change in x

it goes up 3 over 2 and it's a positive slope

so the answer is f

The side length of BD is 17.14 and the length of side of DC is 12.86.

The side length of BD is calculated by subtracting the side length DC from BC as shown below;

Apply congruence theorem on the two triangles ABC and ADC as follows;

Two triangles are similar if their corresponding angles are congruent, and their corresponding sides are in proportion.

From the given diagram, triangle ABC is similar to triangle ADC, and are represented as follows;

ABC ≅ ADC

BC/BA = DC/AC

30/28 = DC/12

DC = 12(30/28)

DC = 12.86

Length BD = 30 - 12.86 = 17.14

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Since h is not the zero transformation, its range must be all of R1. Therefore, the rank of h is 1.

To find the null space of the linear transformation h, we need to find all vectors x = (x1, x2, x3) in R3 such that h(x) = 0. We have:

h(x) = 3x1 - x2 - x3

Setting h(x) = 0, we get:

3x1 - x2 - x3 = 0

This is a system of equations in three variables. We can solve for x3 in terms of x1 and x2 to obtain:

x3 = 3x1 - x2

So any vector x in the null space of h must have the form:

x = (x1, x2, 3x1 - x2)

We can rewrite this vector as:

x = x1(1, 0, 3) + x2(0, -1, -1)

Therefore, a basis for the null space of h is the set { (1, 0, 3), (0, -1, -1) }.

To find the rank of h, we need to determine the dimension of the range of h. Since h is a linear transformation from R3 to R1, its range is a subspace of R1. The only subspaces of R1 are {0} and R1 itself. Since h is not the zero transformation, its range must be all of R1. Therefore, the rank of h is 1.

Geometrically, the null space of h is a plane in R3. This plane contains the origin and is parallel to the vector (1, 0, 3). The vector (0, -1, -1) is perpendicular to this plane.

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Therefore, The value of E°cell for the reaction that occurs when current is drawn from this cell at standard conditions is 1.20 V.

Explanation: The given cell is a galvanic cell. The standard cell potential for this cell can be calculated using the Nernst equation.
Ecell = E°cell - (0.0592/n) log Q
Here, n = number of electrons transferred = 2
At standard conditions, Q = 1, as all species are at their standard states.
Thus,
Ecell = E°cell - (0.0592/2) log 1
Ecell = E°cell
The standard cell potential can be calculated using standard reduction potentials for the given half-reactions.
Zn2+(aq) + 2e- → Zn(s)   E° = -0.76 V
Fe2+(aq) + 2e- → Fe(s)    E° = -0.44 V
E°cell = E°reduction (cathode) - E°reduction (anode)
E°cell = 0.44 - (-0.76) = 1.20 V

Therefore, The value of E°cell for the reaction that occurs when current is drawn from this cell at standard conditions is 1.20 V.

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Solving for the constant C using the given initial condition, we can obtain the specific function that satisfies the given conditions. In this case, we find that f(x) = (4/3)x^3 + (7/2)x^2 - 4x + 6.

To find the function f(x) that satisfies f'(x) = 4x^2 + 7x - 4 and f(0) = 6, we integrate the derivative function with respect to x. The result of the integration gives us the function f(x) in terms of x and an arbitrary constant C. Solving for the constant C using the given initial condition, we can obtain the specific function that satisfies the given conditions. In this case, we find that f(x) = (4/3)x^3 + (7/2)x^2 - 4x + 6.

The process of finding the function f(x) involves integrating the derivative function, which is a fundamental concept in calculus. This example illustrates how integration can be used to find the antiderivative of a function, allowing us to obtain the original function from its derivative. The arbitrary constant that appears in the antiderivative represents the family of functions that have the same derivative, and the constant is determined by a specific initial condition.

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Answer:

32/48 = 2/3

48/72 = 2/3

B. These triangles are similar, using SAS.

Using the bounds for the variables u and v that we found earlier, we can write the integral as: ∫∫R (-2v-5u)^5 (3v+4u)^{-3} dudv = ∫^0_{-1/2} ∫^{3/5}_{-4v/5} (-2v-5u)^5 (3v+4u)^{-3} dudv

We will use a change of variables to simplify the integral. Let:

u = -4x + 5y

v = -3x - 2y

Then, we can solve for x and y in terms of u and v:

x = (-2v - 5u)/29

y = (3v + 4u)/29

Next, we need to find the bounds for the new variables u and v that correspond to the parallelogram R in the xy-plane. The four lines that enclose R become:

-4x + 5y = 0 -> u = 0

-4x + 5y = 3 -> u = 3/5

-3x - 2y = 1 -> v = -1/2

-3x - 2y = 2 -> v = -1

So, the parallelogram R in the uv-plane is defined by:

0 ≤ u ≤ 3/5

-1/2 ≤ v ≤ -1

The integral becomes:

∫ ∫ r -4x^5y-3x^-2ydA = ∫∫R (-2v-5u)^5 (3v+4u)^{-3} |J| dA

where |J| is the determinant of the Jacobian matrix:

|J| = det[∂(x,y)/∂(u,v)] = det[[-5/29 -2/29], [4/29 3/29]] = -23/841

Thus, the integral becomes:

∫∫R (-2v-5u)^5 (3v+4u)^{-3} |-23/841| dudv

= (23/841) ∫∫R (-2v-5u)^5 (3v+4u)^{-3} dudv

Using the bounds for the variables u and v that we found earlier, we can write the integral as:

∫∫R (-2v-5u)^5 (3v+4u)^{-3} dudv

= ∫^0_{-1/2} ∫^{3/5}_{-4v/5} (-2v-5u)^5 (3v+4u)^{-3} dudv

This integral can be evaluated using standard techniques such as integration by substitution. However, it is a rather tedious calculation, and we will not carry it out here.

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The constant of proportionality is 1.25

The variables of hours worked, x, and wages earned y are proportional

when they can be expressed in the form;

y = c·x

Such that we have; Δy = c·Δx

Where;

Δy = Change in the y variable

Δx = Change in x variable

Therefore;

C = Δy / Δx

The constant of proportionality is therefore given by the rate of change of the graph which is found as follows;

C = 1/2 ÷ 2/5

C = 5/4

C = 1.25

Hence the constant of proportionality is 1.25.

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Answer:

(1/4)^2

Step-by-step explanation:

Which expression is equivalent to (4^3)^2 ⋅ 4^−8?

(4^3)^2 * 4^-8 =

(4)^6 * (1/4)^-8 =

(1/4)^2 =   your answer

1/4 * 1/4 =

1/16     solved

The expression (4^3)^2 ⋅ 4^−8 simplifies to 4^−2 or 1/16 using the laws of exponents.

The expression (4^3)^2 ⋅ 4^−8 can be simplified by using the laws of exponents. According to these laws, when you raise a power to a power (as in (4^3)^2), you multiply the exponents. Therefore, the equivalent expression for (4^3)^2 is 4^6. For 4^−8, the negative exponent means that this is 'one over' the base raised to the positive of that exponent, which is 1/4^8.

So, the equivalent expression for the whole thing is 4^6 * 1/4^8 or 4^−2, which also equals to 1/4^2 or 1/16.

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Therefore, After simplifying and evaluating the integral, we get the answer as 8πa^3.

Explanation:
To find the outward flux of the given field across the given cardioid, we need to use the formula:
Φ = ∫∫S F · dS
Where F is the given field, S is the surface of the cardioid, and dS is the outward unit normal vector.
Using the given parametric equations for the cardioid, we can find the unit normal vector:
n = (-a sinθ, a cosθ, 0)
Now we can plug in F and n into the formula and evaluate the integral:
Φ = ∫∫S F · n dS
= ∫0^2π ∫0^a F · n r dr dθ
After simplifying and evaluating the integral, we get:
Φ = 8πa^3
To find the outward flux of the given field across the given cardioid, we need to use the formula Φ = ∫∫S F · dS. Using the given parametric equations for the cardioid, we can find the unit normal vector and plug-in F and n into the formula to evaluate the integral.

Therefore, After simplifying and evaluating the integral, we get the answer as 8πa^3.

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The classification technique that is nonparametric and does not rely on any underlying statistical model is regression trees via recursive partitioning. This method is based on splitting the data into smaller subsets and constructing decision trees to predict the target variable.

Unlike parametric methods like multinomial logistic regression and linear/quadratic discriminant analysis, regression trees do not make assumptions about the distribution of the data. Backward elimination is a technique used to select the most important variables for a statistical model by removing variables one at a time based on their p-value.

While it can be used with both parametric and nonparametric methods, it is not a classification technique in itself. In summary, if you want a nonparametric classification technique that does not rely on underlying statistical assumptions, regression trees via recursive partitioning are a good choice.

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The correct answer is: Seahawks; they have a larger median value of 23 inches.

To determine which team has the largest overall size hat for their players, we need to compare the central tendency measures of the two sets of data.

The best measure of center to use in this case is the median, which represents the middle value of the data when arranged in ascending or descending order.
Looking at the two tables, we can see that the median value for the Pelicans is 22 inches, while the median value for the Seahawks is 23 inches.

Therefore, the Seahawks have a larger median hat size and can be considered to have the largest overall size hat for their players.
The median is the best measure of center to compare in this case, as it represents the middle value and is less affected by outliers or extreme values.

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We need to compute the work done by the force field F~ along the given path. The work done by the force field F~ along the curve C is 2e^3 - e.

Recall that the work done by a force field F~ along a curve C is given by the line integral:

∫CF~ · dr~

where dr~ is a vector tangent to C.

First, we parameterize the curve C using a single variable t:

r~(t) = (t^2-1)i + tj

with 1 ≤ t ≤ 2.

Next, we compute the dot product F~ · dr~:

F~ · dr~ = (x^2yexi + xye^xj) · (2t~i + ~j) = (2t^2e^t^2-1 + te^t^2) dt

Hence, the line integral becomes:

∫CF~ · dr~ = ∫1^2 (2t^2e^t^2-1 + te^t^2) dt

We can evaluate this integral using integration by parts twice, with u = t and v' = e^(t^2-1), and then u = t^2 and v' = e^(t^2-1).

The final result is:

∫CF~ · dr~ = [te^(t^2-1)]_1^2 = 2e^3 - e

Therefore, the work done by the force field F~ along the curve C is 2e^3 - e.

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The trip will take about 11.93 hours, or approximately 11 hours and 56 minutes.

What is distance?

Distance is the measure of how far apart two objects or locations are from each other. It is usually measured in units such as meters, kilometers, miles, or feet. Distance is a scalar quantity, meaning it has only magnitude and no direction.

To calculate the total time for the trip, we need to take into account the time for driving and the time for lunch.

First, let's calculate the time for driving:

Distance to be covered = 800 miles

Average speed = 70 miles per hour

Time for driving = Distance / Speed

Time for driving = 800 miles / 70 miles per hour

Time for driving = 11.43 hours

So, the driving time is approximately 11.43 hours.

Now, let's add the time for lunch. The stop for lunch is 30 minutes, which is equivalent to 0.5 hours.

Total time for the trip = Time for driving + Time for lunch

Total time for the trip = 11.43 hours + 0.5 hours

Total time for the trip = 11.93 hours

Therefore, the trip will take about 11.93 hours, or approximately 11 hours and 56 minutes.

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To find an approximate value for P(\overline{x} > 0.7) when n=40, we need to use the central limit theorem to transform the sample mean \overline{x} to a standard normal variable Z.

We can then use the standard normal distribution table or calculator to find the probability that Z is greater than a certain value, which corresponds to the desired probability of \overline{x} being greater than 0.7.The central limit theorem states that the distribution of the sample mean \overline{x} approaches a normal distribution with mean \mu and standard deviation \sigma/sqrt(n) as the sample size n increases, regardless of the underlying population distribution. In this case, we can assume that the sample size n=40 is large enough to use the normal approximation.

To transform \overline{x} to a standard normal variable Z, we can use the formula:

Z = (\overline{x} - \mu) / (\sigma / sqrt(n))

We do not know the population mean and standard deviation, so we can use the sample mean \overline{x} and standard deviation s as estimates. Assuming the sample mean is approximately equal to the population mean and the sample size is sufficiently large, we can use the formula:

Z = (\overline{x} - \mu) / (s / sqrt(n))

Plugging in the values, we get:

Z = (\overline{x} - \mu) / (s / sqrt(n)) = (0.7 - \mu) / (s / sqrt(40))

We want to find P(\overline{x} > 0.7), which is equivalent to finding P(Z > (0.7 - \mu) / (s / sqrt(40))). We can use the standard normal distribution table or calculator to find the corresponding probability. For example, if we assume a normal distribution with mean \mu = 0.7 and standard deviation s = 0.1 (based on previous data or knowledge), we can compute:

Z = (0.7 - 0.7) / (0.1 / sqrt(40)) = 0

P(Z > 0) = 0.5

Therefore, an approximate value for P(\overline{x} > 0.7) is 0.5.

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To find the distance between two points with polar coordinates, we need to convert them into Cartesian coordinates first. The formula for conversion is x = r cos(theta) and y = r sin(theta),

where r is the distance from the origin to the point and theta is the angle that the line from the origin to the point makes with the positive x-axis. For the first point (2, /3), we have x = 2 cos(/3) and y = 2 sin(/3). Simplifying these expressions, we get x = 1 and y = sqrt(3).

Therefore, the Cartesian coordinates of the first point are (1, sqrt(3)). Similarly, for the second point (8, 2/3), we have x = 8 cos(2/3) and y = 8 sin(2/3). Simplifying, we get x = 2.77 and y = 7.58. Therefore, the Cartesian coordinates of the second point are (2.77, 7.58). Now we can use the distance formula to find the distance between these two points. The distance formula is d = sqrt((x2 - x1)^2 + (y2 - y1)^2). Substituting the Cartesian coordinates of the two points, we get d = sqrt((2.77 - 1)^2 + (7.58 - sqrt(3))^2) = 7.03. Therefore, the distance between the points with polar coordinates (2, /3) and (8, 2/3) is approximately 7.03 units.

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The graphical representation that would be best to display the data is given as follows:

Histogram.

An histogram is a graph that shows the number of times each element of x was observed.

The four types of products are given as follows:

Each of these item would represent a bin, and the values of each bin are given as follows:

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Answer: -1 ≤ x  < 3

Step-by-step explanation:

2 ≤ 2x + 4 < 10

Subtract 4 from all sides

2-4 ≤ 2x + 4-4 < 10-4

-2 ≤ 2x  < 6

Divide all sides by 2

-2/2 ≤ 2x/2 < 6/2

-1 ≤ x  < 3

Answer:

−1≤x<3.

also correct: [−1,3)

Step-by-step explanation:

The weighted average estimator Yˉω​ is considered to estimate the expectation μ. To be an unbiased estimator, the weights ω1​, ω2​, and ω3​ should satisfy the condition that their sum is equal to 1.

(a) To calculate E[Yˉω​], we can take the expectation inside the summation:

E[Yˉω​] = E[ω1​Y1​ + ω2​Y2​ + ω3​Y3​]

= ω1​E[Y1​] + ω2​E[Y2​] + ω3​E[Y3​]

= ω1​μ + ω2​μ + ω3​μ

= μ(ω1​ + ω2​ + ω3​)

For Yˉω​ to be an unbiased estimator, its expectation should be equal to the parameter being estimated, which is μ. Therefore, we have the condition ω1​ + ω2​ + ω3​ = 1.

(b) To calculate V[Yˉω​], we need to determine the variance inside the weighted average:

V[Yˉω​] = V[ω1​Y1​ + ω2​Y2​ + ω3​Y3​]

= ω1​^2V[Y1​] + ω2​^2V[Y2​] + ω3​^2V[Y3​]

= ω1​^2σ^2 + ω2​^2σ^2 + ω3​^2σ^2

= σ^2(ω1​^2 + ω2​^2 + ω3​^2)

To minimize the variance V[Yˉω​], we need to find the weights ω1​, ω2​, and ω3​ that minimize the expression ω1​^2 + ω2​^2 + ω3​^2, while still satisfying the condition ω1​ + ω2​ + ω3​ = 1. One approach to find the minimum variance is by using calculus techniques, such as Lagrange multipliers, to optimize the expression under the constraint. Solving this optimization problem will yield the specific weights that minimize the variance of Yˉω​, and the justification lies in the mathematical derivation of the optimal solution.

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To find the function for the radius, we know that the rate of change of the radius is given as 3.3 feet per second. We can integrate this to get the function for the radius:

∫ dr/dt dt = ∫ 3.3 dt

r = 3.3t + C

We know that when t = 0, r = 0. So, we can solve for C as follows:

0 = 3.3(0) + C

C = 0

Therefore, the function for the radius is:

r(t) = 3.3t

To find the function for the area of the ripple in terms of r, we use the formula for the area of a circle:

A = πr^2

Substituting r = 3.3t, we get:

A(r) = π(3.3t)^2

A(r) = 34.56πt^2

Finally, to find (A o r)(t), we substitute r(t) into A(r) and get:

(A o r)(t) = A(r(t))

(A o r)(t) = A(3.3t)

(A o r)(t) = 34.56πt^2

Answer:

Step-by-step explanation:

it is a right isosceles triangle, 2 congruent sides and 2 congruent angles, so XZ = XY (9 cm).  we find YZ with the Pythagoras theorem

YZ = [tex]\sqrt{9^2+9^2}[/tex]

YZ = [tex]\sqrt{81 + 81 }[/tex]

YZ = [tex]\sqrt{162}[/tex]

YZ = 12.72 cm

The value of x in the secant segment is 5.

The secant-tangent power theorem states that "if a tangent and a secant are drawn from a common external point to a circle, then the product of the length of the secant segment and its external part is equal to the square of the length of the tangent segment".

( tangent segment )² = External part of the secant segment × Secant segment.

From the image:

Tangent segment = 6

External part of the secant segment = 4

Secant segment = ( 4 + x )

Plug these values into the above formula and solve for x.

( tangent segment )² = External part of the secant segment × Secant segment.

6² = 4 × ( 4 + x )

Simplify

36 = 16 + 4x

4x = 36 - 16

4x = 20

x = 20/4

x = 5

Therefore, the value of x is 5.

Learn more about secant tangent power theorem here: brainly.com/question/26407978

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