Find the value of x

A. 135

B. 40

C. 50

D. 45

27.4395395... = 27.4395 can be written as the ratio of two integers 274395/10000.

Let x = 27.4395395...

We can write this as the sum of the integer 27 and the decimal part 0.4395395...:

x = 27 + 0.4395395...

To convert this to a ratio of two integers, we can multiply both sides by 10000 to eliminate the decimal point:

10000x = 270000 + 4395.395...

Now we can subtract 270000 from both sides:

10000x - 270000 = 4395.395...

Next, we can multiply both sides by 10 to eliminate the decimal point in the right-hand side:

100000x - 2700000 = 43953.955...

Finally, we can subtract 43953 from both sides:

100000x - 2700000 - 43953 = 0.955...

Now we have the number x expressed as a ratio of two integers:

x = (2700000 + 43953)/100000 = 274395/10000

Therefore, 27.4395395... = 27.4395 can be written as the ratio of two integers 274395/10000.

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The solution to the equation for x is given as follows:

x = 2.92.

The equation for x in this problem is solved applying the proportions of the problem.

The equivalent side lengths are given as follows:

Hence the proportional relationship to obtain the value of x is given as follows:

27/21 = (9x - 19)/(-9x + 83)

Applying cross multiplication, we obtain the value of x as follows:

21(9x - 19) = 27(-9x + 83)

432x = 1263

x = 1263/432

x = 2.92.

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Answer:

3/4(three fourths)

Step-by-step explanation

ABCD --> A'B'C'D

BC --> B'C

12 --> 9

12x3/4(Three fourths) =9

9/12(nine tweelths) = 3/4(Three fourths)

This isnt the best way to explain but hopefully you understand

a) Two-way radio A covers approximately 79 square miles.

b) Two-way radio B covers approximately 903 square kilometers.

c) Two-way radio B covers a larger area than two-way radio A.

d) The radius of radio B is approximately 1.77 times larger than the radius of radio A.

Part A: To find the area covered by two-way radio A, we need to calculate the area of a circle with radius 5 miles. Using the formula for the area of a circle A = πr², where r is the radius, we get:

A = 3.14 x 5²

A = 3.14 x 25

A = 78.5 square miles

Part B: To find the area covered by two-way radio B, we need to calculate the area of a circle with radius 11.27 kilometers. Using the same formula, but converting the radius to kilometers first, we get:

A = 3.14 x (11.27 x 1.61)²

A = 3.14 x 286.96

A = 902.6 square kilometers

Part C: To compare the coverage areas of the two-way radios, we need to convert the area covered by radio A to kilometers as well. Using the conversion factor of 1 mile = 1.61 kilometers, we can convert the area covered by radio A as follows:

78.5 square miles x (1.61 kilometers/mile)² = 203.5 square kilometers

Part D: The scale factor relationship between the radio coverages can be found by dividing the radius of radio B by the radius of radio A:

11.27 kilometers / (5 miles x 1.61 kilometers/mile) = 1.77

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[tex]a = πr {}^{2} [/tex]

im sure this is correct

The expected value of S is approximately -0.038. This means that on average, we would expect a randomly chosen 5-card hand to have a slightly negative score according to this scoring system.

To find the expected value of S, we need to first determine the probability of each possible hand, and then multiply each probability by its corresponding score S, and sum up the products.

Let's consider each part of the score formula separately. There are 4 kings in a standard deck of 52 cards, so the probability of drawing a king is 4/52, or 1/13. There are 13 clubs in the deck, so the probability of drawing a club is 13/52, or 1/4.

The probability of drawing k kings and c clubs out of a 5-card hand can be found using the hypergeometric distribution. The number of ways to choose k kings out of 4 is (4 choose k), and the number of ways to choose 5-k cards that are not kings out of the remaining 48 cards is (48 choose 5-k). Similarly, the number of ways to choose c clubs out of 13 is (13 choose c), and the number of ways to choose 5-c cards that are not clubs out of the remaining 39 cards is (39 choose 5-c). Therefore, the probability of drawing a hand with k kings and c clubs is:

P(k, c) = [(4 choose k) * (48 choose 5-k) * (13 choose c) * (39 choose 5-c)] / (52 choose 5)

Now, we can calculate the expected value of S:

E(S) = sum(S(k,c) * P(k,c)) for k=0 to 4, c=0 to 5

where S(k,c) = 4k - 3c

Plugging in the formula for P(k,c) and simplifying, we get:

E(S) = -3*(13 choose 5) / (52 choose 5) + 4*(4/13)(35 choose 3) / (52 choose 5) - 6(1/4)(12 choose 1)(39 choose 4) / (52 choose 5)

E(S) ≈ -0.038

Therefore, the expected value of S is approximately -0.038. This means that on average, we would expect a randomly chosen 5-card hand to have a slightly negative score according to this scoring system.

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Answer:

if solving for x then 216,-64

To calculate the number of different combinations of students that could be made to form a group for the project, we need to divide the total number of students by the number of students in each group.

In this case, the total number of students is 27, and we want to form groups of three people. So we can divide 27 by 3 to get: 27 / 3 = 9

This means there are 9 different groups that can be formed. However, we also need to take into account the fact that the order of the students within each group doesn't matter.

For example, if we have students A, B, and C in one group, that is the same as having students C, A, and B in the same group.

To calculate the total number of different combinations of students, we need to use the formula for combinations, which is:

nCr = n! / (r! * (n-r)!)

Where n is the total number of students (27), and r is the number of students in each group (3).

Plugging in these values, we get:

27C3 = 27! / (3! * (27-3)!)
     = 27! / (3! * 24!)
     = (27 * 26 * 25) / (3 * 2 * 1)
     = 2925

Therefore, there are 2,925 different combinations of students that could be made to form a group for the project.

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The statement that is true about using the distributive property on the expression is: A. The distributive property was not applied correctly in the first step.

According to the distributive property, multiplying the sum of two or more addends by a number produces the same result as when each addend is multiplied individually by the number and the products are added together.

Similarly, multiplying the product of two or more addends by a number produces the same result as when each addend is multiplied individually by the number and the products are multiplied together.

For example:

a(b + c) = ab + ac

Thus:

(x - 1)(4x + 2) = x(4x + 2) - 1(4x + 2)

Thus, in the first step, they got it wrong

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The statement is false, as the person with the given utility function [tex]u(x, y) = 5y^2 + 2x[/tex] has convex preferences, not nonconvex preferences

The statement "a person with utility function [tex]u(x, y) = 5y^2 + 2x[/tex] has nonconvex preferences" is false.

To show this, we can apply the test for convex preferences by checking if the utility function exhibits diminishing marginal rate of substitution (MRS).

Step 1: Calculate the partial derivatives of the utility function with respect to x and y:

[tex]\frac{∂u}{∂x}= 2[/tex]
[tex]\frac{∂u}{∂x}= 10y[/tex]

Step 2: Compute the MRS, which is the ratio of the partial derivatives:

[tex]MRS= -(\frac{\frac{∂u}{∂x} }{\frac{∂u}{∂y} } )= \frac{-2}{10y}[/tex]

Step 3: Examine the MRS for signs of diminishing returns:

As y increases, the magnitude of the MRS decreases, which indicates diminishing marginal rate of substitution. This is a characteristic of convex preferences.

Therefore, the statement is false, as the person with the given utility function [tex]u(x, y) = 5y^2 + 2x[/tex] has convex preferences, not nonconvex preferences.

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The statement is false, as the person with the given utility function [tex]u(x, y) = 5y^2 + 2x[/tex] has convex preferences, not nonconvex preferences

The statement "a person with utility function [tex]u(x, y) = 5y^2 + 2x[/tex] has nonconvex preferences" is false.

To show this, we can apply the test for convex preferences by checking if the utility function exhibits diminishing marginal rate of substitution (MRS).

Step 1: Calculate the partial derivatives of the utility function with respect to x and y:

[tex]\frac{∂u}{∂x}= 2[/tex]
[tex]\frac{∂u}{∂x}= 10y[/tex]

Step 2: Compute the MRS, which is the ratio of the partial derivatives:

[tex]MRS= -(\frac{\frac{∂u}{∂x} }{\frac{∂u}{∂y} } )= \frac{-2}{10y}[/tex]

Step 3: Examine the MRS for signs of diminishing returns:

As y increases, the magnitude of the MRS decreases, which indicates diminishing marginal rate of substitution. This is a characteristic of convex preferences.

Therefore, the statement is false, as the person with the given utility function [tex]u(x, y) = 5y^2 + 2x[/tex] has convex preferences, not nonconvex preferences.

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The correct option is D. To solve the problem of Temperature we use formula °Fahrenheit = (9/5)C + 32,celsius = (°F - 32) * 5/9

Temperature is a measure of the degree of hotness or coldness of a body or environment, often measured in units such as Celsius or Fahrenheit.

Fahrenheit and Celsius are two scales used to measure temperature. Fahrenheit is commonly used in the United States and its territories, while Celsius is used in most other parts of the world. The boiling point of water is 212°F or 100°C, and the freezing point of water is 32°F or 0°C on the Fahrenheit and Celsius scales, respectively.

According to the given information:

From the given equation:

°F = (9/5)C + 32

We can see that an increase of 1 degree Fahrenheit is equivalent to an increase of (9/5) degree Celsius, as the coefficient of C is 9/5. Therefore, statement I is true.

To determine if statement II is true, we can rearrange the equation to solve for C:

C = (°F - 32) * 5/9

So an increase of 1 degree Celsius is equivalent to an increase of (5/9) degree Fahrenheit temperature, as the coefficient of °F is 5/9. Therefore, statement II is also true.

However, statement III is not true, as an increase of (5/9) degree Fahrenheit is equivalent to an increase of 5/9 * 9/5 = 1 degree Celsius, not (5/9) degree Celsius.

Therefore, the answer is (D) I and II only.

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The semiperimeter, s, is calculated by adding the three sides together and dividing by 2:

s = (5 + 7 + 8) ÷ 2 = 10

Then we can use the formula to calculate the area of the triangle:

area = √s(s-a)(s-b)(s-c) = √10(10-5)(10-7)(10-8) ≈ 17.32

Therefore, the area of the triangle is approximately 17.32 square units, rounded to 2 decimal places.

The expected outcome would be that approximately 225 players would draw hearts, 225 players would draw diamonds, 225 players would draw clubs, and 225 players would draw spades. This can be answered by the concept of Probability.

In this scenario, 900 players are each given a standard deck of 52 cards that has been well-shuffled. Each player will draw the top card from their deck and identify the suit, which could be hearts, diamonds, clubs, or spades.

To begin, each player is given a deck of 52 cards, which is the standard number of cards in a deck. These decks are well-shuffled, meaning the cards are randomly arranged to prevent any specific order or pattern. Each player will draw the top card from their deck, revealing the suit of that card, which could be hearts, diamonds, clubs, or spades. Since there are four suits in a standard deck, the probability of drawing any particular suit is 1/4 or 25%.

Therefore, in this scenario with 900 players, each drawing one card from their shuffled deck, there will likely be a distribution of suits that is relatively close to 25% for each suit, but with some natural variation due to the randomness of the shuffling process.

Therefore, the expected outcome would be that approximately 225 players would draw hearts, 225 players would draw diamonds, 225 players would draw clubs, and 225 players would draw spades. However, due to the random nature of shuffling, the actual distribution of suits among the players may deviate slightly from this expected outcome.

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If you multiply an odd number by 3 and then add 1, we get an even number as the result.

The odd number is described as a number that is not divisible by 2. These numbers include 1, 3, 5, and so on. While the even number is described as the number that is divisible by 2 such as 2, 4, 6, and so on.

We can represent an odd number by 2n + 1 where n is any integer

According to the question,

we multiply the number by 3 and we get 3 * (2n + 1) and finally 6n + 3

And then we add 1 to the resulting number 6n + 3 + 1 and thus, 6n + 4

6n + 4 is divisible by 2 as we can take 2 common out of the expression, thus the result is an even number.

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Answer:

Step-by-step explanation:

Given the sequence that starts 3, 10, 17, 24, 31, ..., you want a formula for the n-th term, and its sum if it converges.

The terms of the sequence given have a common difference of 7. That means it is an arithmetic sequence. The n-th term is ...

  an = a1 +d(n -1) . . . . . . . . where a1 is the first term and d is the difference

For first term 3 and common difference 7, the n-th term is ...

  an = 3 +7(n -1)

An arithmetic sequence never converges. Its limit does not exist (DNE).

Answer:

Step-by-step explanation:

Let's start by finding the probability distribution of the random variable Y = [X] + 1, where [X] is the largest integer less than or equal to X. Since X is an exponential random variable with rate λ, its probability density function is:

f_X(x) = λe^(-λx) for x ≥ 0

The probability that Y = k, where k is an integer greater than 1, is:

P(Y = k) = P([X] + 1 = k) = P(k - 1 ≤ X < k) = ∫(k-1)^k f_X(x) dx

Using the probability density function of X, we get:

P(Y = k) = ∫(k-1)^k λe^(-λx) dx = [-e^(-λx)]_(k-1)^k = e^(-λ(k-1)) - e^(-λk)

The probability that Y = 1 is:

P(Y = 1) = P(X < 1) = ∫0^1 λe^(-λx) dx = 1 - e^(-λ)

Therefore, the probability that Y = k, for k ≥ 1, is:

P(Y = k) = (1 - e^(-λ)) * (e^(-λ))^(k-2) for k ≥ 2

This is the probability mass function of a geometric distribution with parameter p = 1 - e^(-λ).

Therefore, we have shown that if X is an exponential random variable with rate λ, then Y = [X] + 1 is a geometric random variable with parameter p = 1 - e^(-λ).


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A researcher records the following scores for attention during a video game task for two samples. Sample B has the largest standard deviation.

To determine which sample has the largest standard deviation, we need to calculate the standard deviation for both Sample A and Sample B.

Step 1: Calculate the mean (average) of each sample
Sample A: (10+12+14+16+18)/5 = 70/5 = 14
Sample B: (20+24+28+32+36)/5 = 140/5 = 28

Step 2: Calculate the squared differences from the mean in score
Sample A: (4²+2²+0²+2²+4²) = (16+4+0+4+16)
Sample B: (8²+4²+0²+4²+8²) = (64+16+0+16+64)

Step 3: Calculate the average of the squared differences
Sample A: (16+4+0+4+16)/5 = 40/5 = 8
Sample B: (64+16+0+16+64)/5 = 160/5 = 32

Step 4: Take the square root of the average squared differences to find the standard deviation
Sample A: √8 ≈ 2.83
Sample B: √32 ≈ 5.66

Based on the calculated standard deviations, Sample B has the largest standard deviation. So, the answer is Sample B.

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Answer:

A relation is a set of ordered pairs that represent a connection between two variables, where the first value of the pair is the independent variable, and the second value is the dependent variable.

A function is a specific type of relation where for each input value (independent variable), there is exactly one output value (dependent variable). This means that there cannot be two different outputs for the same input value in a function.

In the given graph, we can see that there are two points with the same x-coordinate, -1, but different y-coordinates, 3 and -2. Therefore, for the input value of -1, there are two different output values, violating the definition of a function.

Hence, the relation represented by the given graph is not a function.

Therefore the answer is: No, because for each input there is not exactly one output.

The probability that the mean age of 50 college students will be greater than 27 is 0.24.

a. The Central Limit Theorem (CLT) states that for large enough sample sizes, the sampling distribution of the sample mean is approximately normal, regardless of the distribution of the population. In this case, the sample size is large enough (n=50) for the CLT to apply. Therefore, the sampling distribution of the sample mean age of 50 college students will be approximately normal with mean 26.3 years and standard deviation 8/sqrt(50) years (i.e., the standard error of the mean).

b. To find the probability that the mean age will be greater than 27, we need to standardize the sample mean using the formula:

z = (x - mu) / (sigma / sqrt(n))

where x is the sample mean, mu is the population mean, sigma is the population standard deviation, and n is the sample size.

Plugging in the values given, we get:

z = (27 - 26.3) / (8/sqrt(50)) = 0.70

Using a standard normal distribution table or calculator, we can find that the probability of a standard normal variable being greater than 0.70 is approximately 0.24. Therefore, the probability that the mean age of 50 college students will be greater than 27 is 0.24.

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Based on the information, No, Rayen's statement is not correct.

The expression 6(3 + 5) yields a simplified result of 6(8) = 48, which reflects the total servings acquired from eight batches.

In the first week, 18 servings were made, which converts to 3 batches (breaking down to 3 batches x 6 servings per batch = 18 servings). Similarly, for the second week, 30 servings are attained, equivalent to 5 batches (5 batches x 6 servings per batch = 30 servings).

So the entirety of batches created during these two weeks amounts to 3 + 5 = 8, summing up the complete number of servings processed being 18 + 30 = 48. Consequently, the truth is that the expression 6(3 + 5) is not representative of either the number of batches yielded each week or the absolute number of servings constructed.

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a) The absolute minimum of the function f(x, y) = x^2 y^2 - 2x is -4, which occurs at the point (2, 0).

b) The absolute maximum of the function is 0, which occurs at the points (0, 2) and (0, -2).

To find the absolute minimum and/or maximum of the function f(x, y) = x^2 y^2 - 2x at the given points (2, 0), (0, 2), and (0, -2), we need to evaluate the function at each point and compare the values.

At (2, 0), we have

f(2, 0) = 2^2 × 0^2 - 2×2 = -4

At (0, 2), we have

f(0, 2) = 0^2 × 2^2 - 2×0 = 0

At (0, -2), we have:

f(0, -2) = 0^2 × (-2)^2 - 2×0 = 0

Therefore, we see that the function has an absolute minimum of -4 at (2, 0), and an absolute maximum of 0 at both (0, 2) and (0, -2).

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If the mean of an exponential distribution is 2, then the value of the parameter λ is option (D) 0.5

An exponential distribution is a continuous probability distribution that describes the amount of time between events in a Poisson process, where events occur at a constant rate on average. The distribution is characterized by a parameter λ, which represents the average rate of events occurring per unit time.

The mean of an exponential distribution with parameter λ is given by 1/λ. Therefore, if the mean is 2, we have

1/λ = 2

Multiplying both sides by λ, we get:

1 = 2λ

Dividing both sides by 2, we get:

λ = 1/2

λ = 0.5

Therefore, the correct option is (D) 0.5

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Answer:

  see the attached graph

Step-by-step explanation:

You want to graph these inequalities and identify their solution space.

The boundary line associated with the solution of an inequality is found by replacing the inequality symbol with an equal sign. Here, that means the boundary lines are given by the equations ...

These lines can be plotted by finding their x- and y-intercepts, then drawing the line through those points. In each case, the intercept is found by setting the other variable to zero and solving the resulting equation.

x-intercept of x+y=8:  x = 8, or point (8, 0)

y-intercept of x+y=8:  y = 8, or point (0, 8)

The inequality symbol for this inequality is "less than or equal to", so the boundary line is included in the solution set. That means the line is drawn as a solid (not dashed) line.

When we look at one of the variables with a positive coefficient, we see ...

  x ≤ ... — shading is to the left of the boundary line

or

  y ≤ ... — shading is below the boundary line

The solution space for this inequality is shown in blue in the attached graph.

The x- and y-intercepts are found the same way as above. They are ...

  x-intercept:  x = 2, or point (2, 0)

  y-intercept:  y = -2, or point (0, -2)

The boundary line is solid, and shading is to its left:

  x ≤ ...

The solution space for this inequality is shown in red in the attached graph.

The solutions of the set of inequalities are all the points on the graph where the shaded areas overlap. This is the left quadrant defined by the X where the lines cross.

__

Additional comment

To summarize the "step-by-step", you want to ...

In this process, you make use of your knowledge of plotting points and lines. You also make use of your understanding of "greater than" or "less than" relationships in the x- and y-directions on a graph.

The percentage increase of the function from g(x) over the interval x = 8 to x = 9, is 100%. The correct option is therefore;

Increase by 100%

A percentage increase is the representation of the increase of a quantity over an interval as a percentage.

Whereby the function is expressed as follows;

g(x) = 2ˣ

The value of the function at the values x = 8, and x = 9, are;

g(x) = 2ˣ

g(8) = 2⁸ = 256

g(9) = 2⁹ = 512

The percentage increase is therefore;

Percentage increase = ((g(9) - g(8))/g(8)) × 100

Percentage increase = ((2⁹ - 2⁸)/(2⁸)) × 100

2⁸ × ((2 - 1)/(2⁸)) × 100 = 100%

Therefore, the change of g(x) over the interval from x = 8 to x = 9 is an increase of 100%

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The value of z for a 95% confidence interval is approximately 1.960, rounded to three decimal places.

To find the value of z for a 95% confidence level, we can use the standard normal distribution table or a calculator.
Therefore,

The value of z that should be used to calculate a confidence interval for the percentage of married couples in which at least one partner has a doctorate with a 95% confidence level is:
z ≈ 1.96
To find the value of z for a 95% confidence interval, you will use the standard normal distribution table or a calculator with a built-in function.
For a 95% confidence interval, you want to find the z-score that corresponds to the middle 95% of the distribution, which leaves 2.5% in each tail.

Look for the z-score that corresponds to the 0.975 percentile (1 - 0.025) in the table or calculator.
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The basis for the solution space of the given homogeneous system is {(1, 1, 0), (-5, 0, 1)}.

Explanation:

To find a basis for the solution space of the given homogeneous system, Follow these steps:

Step1: First, let's rewrite the system of equations:

1. 4x - 2y + 10z = 0
2. 2x - y + 5z = 0
3. -6x + 3y - 15z = 0

Step 2: We can notice that equation 3 is just equation 1 multiplied by -1.5. This means that equation 3 is redundant, and we can remove it from the system:

1. 4x - 2y + 10z = 0
2. 2x - y + 5z = 0

Step 3: Now, let's solve this system using the method of your choice (e.g., substitution, elimination, or matrices). We can divide equation 1 by 2 to get equation 2:

x - y + 5z = 0

So, we have one equation left:

x - y + 5z = 0

Step 4: Now, let's express x in terms of y and z:

x = y - 5z

Step 5: Now we can represent the general solution as a linear combination of two vectors:

(x, y, z) = (y - 5z, y, z) = y(1, 1, 0) + z(-5, 0, 1)

Step 6: So, the basis for the solution space of this homogeneous system is given by the two vectors:

{(1, 1, 0), (-5, 0, 1)}

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It is not possible for the sum of two rolled dice to be greater than 12. The maximum sum possible is 12 when both dice roll a 6. Therefore, the event e where the sum of two rolled dice is less than or equal to 99 is the entire sample space of possible outcomes when rolling two dice.
Based on the terms given, your question pertains to the event "e" which involves rolling two dice and obtaining a sum less than or equal to 99. Since the maximum sum you can get from rolling two dice (each with six faces) is 12 (6+6), all possible outcomes of rolling two dice will result in a sum less than or equal to 99. Therefore, the outcomes in event "e" are all combinations of rolling two dice, represented as (die1, die2):

Your answer: (1,1), (1,2), (1,3), (1,4), (1,5), (1,6), (2,1), (2,2), (2,3), (2,4), (2,5), (2,6), (3,1), (3,2), (3,3), (3,4), (3,5), (3,6), (4,1), (4,2), (4,3), (4,4), (4,5), (4,6), (5,1), (5,2), (5,3), (5,4), (5,5), (5,6), (6,1), (6,2), (6,3), (6,4), (6,5), (6,6).

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The simplified expression is R = [tex]4^{14}/2^8[/tex]

We have,

[tex]R = 4^{-7}2^{12} 4^{10} / 2^{20}4^{-4}[/tex]

Now,

The exponents that have the same base can be combined by adding the powers.

Now,

The expression can be written as,

[tex]R = 4^{(-7+10+4)}2^{(12-20)}[/tex]

R = [tex]4^{14}2^{-8}[/tex]

or

R = [tex]4^{14}/2^8[/tex]

Thus,

The simplified expression is R = [tex]4^{14}/2^8[/tex]

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The mathematical quantity of the instantaneous velocity is a derivative, specifically the derivative of the distance function d(t) with respect to time.

To find the average velocity of the rock from t = 5 to t = 5.1, we need to calculate the change in distance and time over this interval.

Change in distance = d(5.1) - d(5) = (35(5.1) - 5[tex](5.1)^{2}[/tex]) - (35(5) - 5[tex](5)^{2}[/tex]) ≈ -24.5 m

Change in time = 5.1 - 5 = 0.1 s

Average velocity = (change in distance) / (change in time) ≈ -245 m/s

To find the equation for the average velocity from 5 seconds to t seconds, we need to use the formula for average velocity:

average velocity = (d(t) - d(5)) / (t - 5)

Taking the limit of this expression as t approaches 5 gives us the instantaneous velocity at t = 5:

instantaneous velocity = lim (t→5) [(d(t) - d(5)) / (t - 5)]

Using the given function for d(t), we can evaluate this limit as:

instantaneous velocity = lim (t→5) [(35t - 5[tex]t^{2}[/tex] - 35(5) + 5[tex](5)^{2}[/tex] / (t - 5)] = -50 m/s

Since the instantaneous velocity is negative, the rock is going down at t = 5. We can tell this because the velocity is the rate of change of distance with respect to time, and the negative sign indicates that the distance is decreasing with time.

The mathematical quantity of the instantaneous velocity is a derivative, specifically the derivative of the distance function d(t) with respect to time.

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