Nakeisha is a songwriter who collects royalties on her songs whenever they are played in a commercial or a movie. Nakeisha will earn $30 every time one of her songs is played in a commercial and she will earn $110 every time one of her songs is played in a movie. Nakeisha's songs were played on 2 more commercials than movies, and her total earnings on the royalties from all commercials and movies was $760. Write a system of equations that could be used to determine the number of commercials and the number of movies on which Nakeisha's songs were played. Define the variables that you use to write the system.

A predator-prey dynamical system is a type of mathematical model that describes the interactions between two species in an ecosystem, where one species (the predator) hunts and consumes the other (the prey).

In a predator-prey dynamical system, the populations of the predator and prey are modeled as differential equations that describe how their populations change over time. The predator population increases as it consumes prey, while the prey population decreases due to predation. These changes in population are influenced by a variety of factors, including the availability of food, the reproductive rates of the species, and the density-dependent effects of the population on its own growth.

Predator-prey models have been used to study a wide range of ecological systems, from small-scale interactions between insects and plants to large-scale predator-prey relationships in the African savanna. They are also used in fields such as epidemiology, economics, and engineering to model other types of interacting systems.

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Complete question:

what is the predator-prey dynamical system?

Answer:

24

Step-by-step explanation:

Formula is number of possibilities = n (n-1) (n-2) ....1

Here, n = 4

So, number of possibilities = 4 x 3 x 2 x 1 = 24

You can also use following method to count:

ABCD

ABDC

ACBD

ACDB

ADBC

ADCB

--------

BACD

BADC

BCAD

BCDA

BDAC

BDCA

---------

CABD

CADB

CBAD

CBDA

CDAB

CDBA

--------

DABC

DACB

DBAC

DBCA

DCAB

DCBA

--------

Total 24 combinations

Pepe Rodriquez works 42.5 hours at $6.20 per hour. The first 40 hours would be paid at the standard rate of $6.20 per hour, equaling $248.

The correct answer is B. $263.50, which is calculated by taking the standard pay of 40 hours at $6.20 per hour ($248) and adding the time-and-a-half pay of 2.5 hours at $9.30 per hour ($23.25).

Pepe Rodriquez works 42.5 hours at $6.20 per hour. The first 40 hours would be paid at the standard rate of $6.20 per hour, equaling $248. The remaining 2.5 hours would be paid at time-and-a-half, which is 1.5 times the hourly rate of $6.20, equaling $9.30 per hour. The total pay for the 2.5 hours is therefore $9.30 x 2.5 hours = $23.25. Adding the standard pay of $248 to the time-and-a-half pay of $23.25 yields a total of $263.50. Therefore, the correct answer is B. $263.50.

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The solution for each parts is shown below.

Where two lines intersect, there are two vertical angles.

Given:

1. Two adjacent angles

<1 + <2 = 135

2x + 2x+ 7 = 135

4x + 7 = 135

4x = 128

x= 32

2. If one of the angles has a measure of 39° then other angle is

= 90 - 39

= 51 degree.

3. The angles are complementary.

2x + 3 + 2x = 90

4. Two complementary angles are expressed as 2x and 3x.

2x + 3x= 90

5x = 90

x = 18

So, 2x = 36 and 3x = 54 degree.

5. Angles j and k are supplementary angles.

<j + <k = 180

<j + 117 = 180

<j = 63

6. Two supplementary angles are ∠ABC=105° and ∠CBD=(3x−24)°.

105 + 3x -24 = 180

3x + 81 = 180

7. Two angles are supplementary. ∠ACB=4x° and ∠BCD=6x+50°.

<ACB + <BCD = 180

4x + 6x + 50 = 180

10x = 130

x= 13

8. For two vertical angles where ∠1=2x+26° and ∠3=3x−32°

<1 = < 3

2x + 26 = 3x -32

2x - 3x = -32 - 26

-x =-58

x= 58

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The correct option is option A: 2d = 12.

I apologize if this is incorrect. I hope you have a lovely day! :)

Answer:

[tex] \sf \: a) \: 2d = 12[/tex]

Step-by-step explanation:

Given information,

→ Jorge is taking a trip with Bruce.

→ Bruce eats 2 cups of food a day.

Now we have to,

→ Find the required equation.

Let us assume that,

→ d = Number of days

The equation will be,

→ 2d = 12

=> As Bruce eats 2 cups in a day.

Then the value of d will be,

→ 2d = 12

→ d = 12 ÷ 2

→ [ d = 6 ]

Hence, option (a) is correct.

The radius of the circle is 2 units. The diameter of the circle is 4 units.

What is a circle?

A circle is a particular type of ellipse in mathematics or geometry where the eccentricity is zero and the two foci are congruent. A circle is also known as the location of points that are evenly spaced apart from the center. The radius of a circle is measured from the center to the edge. The line that divides a circle into two identical halves is its diameter, which is also twice as wide as its radius.

The arc length is = 2πr(θ/2π) = rθ

Where r is the radius and θ is the central angle.

Given that the angle measuring 11π/6 radius intercepts an arc length of 11π/3.

Putting arc length = 11π/3 and θ = 11π/6 in S = rθ:

11π/3 = r×11π/6

Rewrite the above equation:

r×11π/6 = 11π/3

Multiply both sides by (6/11π):

r×(11π/6)×(6/11π) = (11π/3)× (6/11π)

r = 2

The radius of the circle is 2 units. The diameter of the circle is (2×2) = 4 units.

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The value of x and y are x=[tex]\sqrt{2}[/tex] and y=2, the correct option is B.

The Pythagoras theorem states that the square of the longest side must be equal to the sum of the square of the other two sides in a right-angle triangle.

|AC|^2 = |AB|^2 + |BC|^2    

where |AB| = length of line segment AB. (AB and BC are rest of the two sides of that triangle ABC, AC being the hypotenuse).

We are given that;

The side of triangle =[tex]\sqrt{2}[/tex]

Now,

x=[tex]\sqrt{2}[/tex]

Since two sides of an isosceles triangle are equal

By pythagoras theorum

y^2= 2+2

y^2=4

y=2

Therefore, by pythagoras theorum the answer will be 2.

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It will take Sienna Rose 6 years and 3 months for her money to grow to $7000 at an annual interest rate of 3.60%, compounded monthly.

To remedy this hassle, we are able to use the formula for compound interest:

a = [tex]p(1 + r/n)^{(nt)[/tex]

where a is the quantity of money after t years, p is the initial primary, r is the once-a-year hobby rate, n is the number of times the hobby is compounded in keeping with 12 months, and t is the time in years. In this example, we recognize that sienna rose invests $4000 at an annual interest charge of three. 60%, compounded monthly. So we've got:

P = $4000

r = 0.036

n = 12

A = $7000

we are able to remedy for t by plugging these values into the formula and fixing for t:

7000 = [tex]$4000(1 + 0.036/12)^{(12t)}[/tex]

7000/4000 = [tex](1 + 0.036/12)^{(12t)}[/tex]

1.75 = [tex](1 + 0.003)^{12t}[/tex]

ln(1.75) = 12t ln(1.003)

t = ln(1.75)/(12 ln(1.003))

t ≈ 6.25 years

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The bell shaped distribution is the continuous probability distribution with a specific shape resembling a symmetrical

Bell-shaped distribution is a statistical term that describes a continuous probability distribution with a specific shape resembling a symmetrical, bell-shaped curve. This distribution is also known as the normal distribution or Gaussian distribution.

The bell-shaped distribution is characterized by its mean, which is the center of the curve, and its standard deviation, which measures the spread of the distribution. The curve is symmetric, meaning that the probabilities of values to the left and right of the mean are equal.

In a bell-shaped distribution, the majority of data points cluster around the mean, with fewer points as you move further away from the mean. The tails of the distribution extend infinitely in both directions, although the probability of observing values far from the mean becomes increasingly small.

The normal distribution is used in many fields, including science, engineering, and finance, to model real-world phenomena that are influenced by many small, random factors.

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In the coordinate plane, an angle drawn in standard position has its initial side on the positive x-axis and its vertex at the origin (0,0).

In geometry, a quadrant is one of the four regions of the coordinate plane created by two perpendicular axes, usually the x-axis and y-axis. The coordinate plane is divided into four quadrants, numbered from I to IV in a counterclockwise direction, with the origin (0,0) at their intersection. Each quadrant is defined by the signs of the x- and y-coordinates of points within that quadrant. Specifically:

Quadrant I is where both x and y are positive.

Quadrant II is where x is negative and y is positive.

Quadrant III is where both x and y are negative.

Quadrant IV is where x is positive and y is negative.

Quadrants are commonly used in trigonometry, where they help define the signs of the trigonometric functions sine, cosine, and tangent, which can be used to find the ratios of the lengths of the sides of right triangles. They are also used in the Cartesian coordinate system to locate and plot points on the plane, and to represent various mathematical relationships and models.

Here,

The terminal ray of the angle can lie in one of the four quadrants, depending on the direction of the angle:

If the angle is between 0 and 90 degrees (exclusive), its terminal ray lies in the first quadrant, which is the quadrant to the right and above the origin.

If the angle is between 90 and 180 degrees (exclusive), its terminal ray lies in the second quadrant, which is the quadrant to the left and above the origin.

If the angle is between 180 and 270 degrees (exclusive), its terminal ray lies in the third quadrant, which is the quadrant to the left and below the origin.

If the angle is between 270 and 360 degrees (exclusive), its terminal ray lies in the fourth quadrant, which is the quadrant to the right and below the origin.

To determine the quadrant in which an angle lies, you can either use the degree measure of the angle or the sign of its trigonometric functions (sine, cosine, tangent) in the different quadrants.

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Answer: To determine how much money each department will receive from this year's fundraiser, we need to know the percentage of the total amount raised that each department will receive. We can calculate this by dividing the amount raised by the total percentage allocated to each department. Here is an example calculation:

Assuming there are three departments - A, B, and C, and they will receive 40%, 30%, and 30% of the total amount raised, respectively.

Step 1: Calculate the total percentage allocated to all departments

40% + 30% + 30% = 100%

Step 2: Calculate how much money each department will receive based on their percentage share of the total amount raised

Department A: 40% of $160 = $64

Department B: 30% of $160 = $48

Department C: 30% of $160 = $48

So, department A will receive $64, department B will receive $48, and department C will receive $48 from this year's fundraiser.

Note: The percentage allocation for each department is assumed in this example, so you should adjust the percentage according to your specific situation.

Step-by-step explanation:

The volume of Miriam’s popcorn container is 71.875 inches³.

Volume is defined as the set of three dimensional coordinates enclosed by a two - dimensional surface. We can write the volume as -

V = ∫∫∫f(x, y, z) dxdydz

Given is that Miriam’s popcorn container is 11.5 inches high but with a base whose side length is 2.25 inches.

We can write the volume of Miriam’s popcorn container as -

V = Area of base x height

V = (2.25 x 2.25) x (11.5)

V = 71.875 inches³

Therefore, the volume of Miriam’s popcorn container is 71.875 inches³.

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The probability that he would have done at least this well if he had no ESP is 0.4335,

The probability of a man correctly predicting the outcome of a coin flip without having extrasensory perception (ESP) can be calculated by using probability theory.

In this case, we can calculate the probability of correctly predicting 16 or more coin flips out of 22, given that the man has no ESP. To do this, we first need to calculate the probability of correctly predicting each coin flip individually. Since each coin flip is an independent event, the probability of correctly predicting each coin flip is 0.5, or 50%.

Therefore, the probability of correctly predicting 16 or more coin flips out of 22 can be calculated as the sum of the probabilities of correctly predicting each coin flip, multiplied by the number of ways in which 16 or more coin flips can be correctly predicted. This can be expressed as

=> P(x ≥ 16) = 0.5²² x C(22, 16) + 0.5²² x C(22, 17) +…+ 0.5²² x C(22, 22),

where C is the combination operator.

Using this formula, the probability of correctly predicting 16 or more coin flips out of 22 without having ESP is 0.4335, meaning that it is highly unlikely that the man has ESP

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The formula for a solid sphere is V = 4/3πr³

A sphere is a geometrical entity with three dimensions that resembles a two-dimensional circle. It is a group of points in three dimensions that are all situated at the same r-distance from one another. The supplied point is the sphere's centre, while the letter r stands for the sphere's radius. It has a spherical, symmetrical shape.

It is a three-dimensional solid with equal distances between each surface point and the centre. On the basis of its radius, it has a surface area and a volume. There are no faces, corners, or edges on this geometrical figure. The formula for a solid sphere is V = 4/3πr³. Here V is the volume of the shape and r is the radius of the shape.

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A limit that does not exist is a limit that approaches infinity or negative infinity. The formula is [tex]\lim_{x \to \ > 2}+ f_(x)[/tex].

If the graph has any gap at the x value c, then two sided limits at that point will not exist. If the graph has vertical asymptote and one side of the asymptote goes towards the infinity and other goes towards negative infinity, then the "limit does not exist".

A limit that does not exist is when function does'nt approach a specific value as it approaches a certain point. This is usually due to the fact that the function is discontinuous or that it oscillates between two or more values.

This type of limit is known as an "infinite limit" or an "oscillatory limit" since the function does not converge or diverge, but instead fluctuates or oscillates between values. In this case, the limit does not exist because the function does not approach a single value as it reaches the point in question.

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Answer: $76.5 (rounded)

Step-by-step explanation:

$382.22*0.20=$76.466

The key difference between continuous and differentiable functions is that a function can be continuous without being differentiable, but a function cannot be differentiable unless it is continuous.

In calculus, a function is supposed to be continuous in the event that there are no unexpected leaps or breaks in its chart. This truly intends that as the values of the free factor (normally meant as x) move toward a given point, the values of the dependent variable (generally indicated as y) likewise approach a comparing esteem with next to no unexpected jumps or gaps.

On the other hand, a function is supposed to be differentiable in the event that it has an obvious derivative at each point in its space. The derivative of a capability portrays how the capability changes for little changes in the free factor. A function is differentiable assuming it has a tangent line at each point in its space, and that implies that the capability is smooth and has no sharp turns or corners.

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The probability that both the cameras selected are defective is 12/187 which is 0.06417.

Here total 34 cameras and of which 9 are defective.

let A(i) - be event that (i)th camera is defective

Then we have to calculate probability of both camera selected are defective that is P(A1 and A2)

P(A1∩ A2) = P(A1)*P(A2| A1)

as P( A|B) = P(A∩B)/P(B)

P(A1)=9/34  as there are total 34 and defective is 9

So, P(A2| A1) = 8/33 here we have to find probability of second selected is defective given first selected is also defective

So, as out of 34 one is already selected and defective so total 33 and of which 8 is defective, Hence probability is 8/33

P(A1∩ A2) = P(A1)*P(A2| A1)

                 = 9/34*8/33

                 =12/187

                 =0.06417

Therefore the probability that both the cameras selected are defective is =12/187 which is 0.06417.

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Answer:divideing by the whole number

Step-by-step explanation:

Answer:

Step-by-step explanation:

the answer is c

after distributing 13 to the expression within the Parentheses we get the equation 13*19 - 13x which can then be further simplified to 247 - 13x

Answer:

96 squared meters

Step-by-step explanation:

Area is the total space taken up by a flat (2-D) surface or shape. The area is always measured in square units.

To solve this, we need to first find out how big the area is with the path. To do this, we need to add the 2m on to the length and width of the lawn.

Now, we have the numbers we need to solve for the total area. If we know that the area can be solved using length × width, we can use this equation:

So, the lawn's area including the fence is 576 square meters.

To find out the area of just the fence, we can take the area of the lawn with the fence and subtract the area of the lawn from it. The equation can look like this:

Therefore, the area of the path is 96 squared meters.

Answer:

The area of the path is 200 m².

Step-by-step explanation:

To find the area of the path, subtract the area of the lawn from the area of the path and lawn.

If a lawn that is 30 m long and 16 m wide is surrounded by a path that is 2 m wide, then the length and width of the area of the path and lawn is 34 m long and 20 m wide.  

Given the area of a rectangle is the product of the measures of its length and width:

Therefore, the area of the path is:

The expression when evaluated is 11.4

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

Solve four and six tenths plus six and eight tenths = ___.

Express as numbers and operators

So, we have the following representation

4.6 + 6.8 =

Evaluate the expression

4.6 + 6.8 = 11.4

HEnce, the solution is 11.4

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You cannot compare two marginal distributions to see if the corresponding two variables are related.

Therefore the answer is False.

Comparing two marginal distributions only provides information about the individual variables, not their relationship. Marginal distributions represent the frequencies or probabilities of each variable independently of the other variables in the dataset. To determine the relationship between two variables, a joint distribution or a statistical test such as correlation or regression analysis should be used. These methods allow for a deeper understanding of the relationship between the variables and can provide insights into their direction and strength of association. Therefore the given statement "You can compare two marginal distributions to see if the corresponding two variables are related." is False.

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Answer:

c=0.59p+2

Step-by-step explanation:

40 g is equal to approximately 0.169 cups

To convert grams (g) to cups, you will need to know the density of the substance you are measuring. The density tells you how much of the substance is packed into a certain volume.

Without knowing the density of the substance, it is not possible to make an accurate conversion from grams to cups. However, if we assume that the substance in question has a similar density to water, we can use the following conversion formula:

1 cup = 236.6 g

To convert 40 g to cups, we can use the above formula:

40 g ÷ 236.6 g/cup = 0.169 cups

In summary, to convert grams to cups, you need to know the density of the substance. If the density is unknown, it is best to use an estimated value based on a similar substance. Using the appropriate conversion formula, you can then make an accurate conversion from grams to cups.

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The given statement about two variables is false. This is because to determine whether the respective two variables are related, we cannot compare two marginal distributions.

A correlation coefficient is used to assess the relationship between the two variables. The letter r is used to represent this coefficient. The r values range from -1 to  +1.

Based on this value, the correlation is classified into two types negative correlation and positive correlation. When the r value is -1, it is referred to as a perfect negative correlation. When the r value is +1, it is referred to as a perfect positive correlation. So to compare the relation of two variables, we require a correlation coefficient, not marginal distribution. Therefore, the given statement is false.

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The measures of the other two sides of LMN are approximately 10.67cm and 16 centimeter.

We can start by using the fact that similar triangles have proportional side lengths.

Let x be the length of the side of LMN that is similar to EF. Then, we can set up the following proportion:

 [tex]\frac{LMN}{EF}=\frac{x}{15}[/tex]

We can cross-multiply to get:

[tex]LMN=\frac{x}{15} \times EF[/tex]

Next, we can use the fact that EFD is similar to LMN to set up another proportion:

[tex]\frac{LMN}{EFD}=\frac{x}{6}[/tex]

We can cross-multiply to get:

[tex]LMN=\frac{x}{6} \times EFD[/tex]

Now we can substitute the expressions we found for LMN in terms of x into both sides of the equation:

[tex]\frac{x}{15} \times EF[/tex]=   [tex]\frac{x}{6} \times EFD[/tex]

Substituting the given values, we get:

[tex]\frac{x}{15} \times 15[/tex] =   [tex]\frac{x}{6} \times 8[/tex]

Simplifying, we get:

x = 20

The length of the other two sides of LMN are:

 [tex]\frac{20}{15} \times 8[/tex]= 10.67cm and  [tex]\frac{20}{15} \times 12[/tex]

= 16cm

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A joint ("and") distribution summarizes the information from one variable only, without considering any information from another variable.

Joint distribution mostly is based on joint probability, which also means it can be simply defined as the probability of two events also known as variables which happen to be happening together. These two events are usually coined event A and event B, and hence can formally be written as: p (A and B).

It also can be defined as the two-way frequency table, that is, a table which displays the frequencies or “counts” for two categorical variables.

Similarly a joint probability distribution is simply the description of the probability that a given individual takes on two specific values for the variables.

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