In the ratio of yellow marbles to blue marbles, 6:2, the quantities 6 and 2 are called?​

The area of the polygon is 42 metres squared.

The figure is a composite figure. The area of the figure is the sum of the area of the individual shapes.

Therefore,

area of the figure = area of the rectangle + area of trapezium

Hence,

area of the rectangle = lw

where

Therefore,

area of the rectangle = 6 × 4

area of the rectangle = 24 m²

area of trapezium = 1  /2 (a + b)h

area of trapezium = 1 / 2 (4 + 8)3

area of trapezium = 1 / 2 (36)

area of trapezium = 18 m²

Therefore,

area of the figure = 18 + 24

area of the figure = 42 m²

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Answer:

he would go to the barber shop 21 times in 2 years

Step-by-step explanation:

divide 4 by 52 and then multiply by 2

Answer:

26

Step-by-step explanation:

52÷4 = 13 times a year

therefore, for two years

13 × 2 = 26

Answer:

x=

Step-by-step explanation:

⅔x= 7x-1

2/3x=6

multiply both sides by 3/2

(3/2)(2/3x)= 6×3/2

x=

Answer: The value of the limit of the function may not be equal to the value of the function evaluated at a particular x-value. In other words, just because a function takes on a certain value at a particular x-value doesn't mean that the limit of the function at that x-value is equal to that value. To determine the limit of the function, you may need to use different methods such as L'Hopital's Rule or other limit laws. Additionally, it's important to keep in mind that the limit of the function may not exist, in which case it wouldn't be equal to any specific value.

Step-by-step explanation:

The answer is (a) -25. The covariance is negative, indicating that the December snowfall and temperature in Syracuse NY have an inverse relationship. Snowfall, in particular, tends to decrease as temperatures rise. Covariance units are the product of the units of the two variables, which in this case are in2 and (degrees F)2, so covariance units are degree inches.

We are given the following details:

Correlation coefficient between December snowfall and temperature in Syracuse, New York: -0.5

December snowfall variation (S): 100 in2

Temperature variation in December (T): 25 (degrees F)2

We are asked to calculate the correlation between December snowfall and temperature in degrees inches.

Cov(S,T) can be calculated using the covariance formula:

Corr(S,T) = Cov(S,T) * sqrt(Var(S)) * sqrt(Var(T))

Plugging in the values from the problem yields:

Cov(S,T) = (-0.5) * sqrt(100 in2) * sqrt(25 (degrees F)2) = (-0.5) * 10 in * 5 degrees F = -25 degree inches

As a result, the answer is (a) -25. The covariance is negative, indicating that the December snowfall and temperature in Syracuse NY have an inverse relationship.

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Answer:

Tennis, a game of skill and grace,

A dance upon a court of green.

Racquets are partners in this space,

A symphony of motion seen.Each stroke a crescendo to the ear,

A harmony of speed and spin.

The ball, a fleeting, flashing sphere,

A fleeting moment to win.The court is life, a battlefield,

Of challenges and victories.

A test of strength, both heart and mind,

Of courage, skills, and agility.The net, a barrier, divides,

Two opponents in their quest.

A symbol of the tension that resides,

In every match, every test.But when the final point is served,

And winner takes the day.

The court transforms, a stage, preserved,

For celebration in its way.

Step-by-step explanation:

Answer: 58 degrees

Step-by-step explanation:

the standard matrix of T. T: R2→R2 is [ 0 1 ]

                                                               [ 1  0]

We must locate the pictures of the standard basis vectors of R2 under T and translate those images into columns of a 2x2 matrix in order to get the standard matrix of T.

Let's start by thinking about the reflection along the line x2 - x1. The point (x1, x2) is mapped to the point via this reflection (x2, x1).

We apply T to the first standard basis vector, e1 = (1,0), to determine its image:

T(e1) = (0,1) (0,1)

We also use T: to determine the image of the second standard basis vector, e2 = (0,1).

T(e2) = (1,0) (1,0)

Hence, (0,1) and (1,0) are the images of the standard basis vectors,  These photos can now be expressed as columns in a matrix:

[0 1]

[1 0]

This is the standard matrix of T.

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Answer:

y=-1

x=-1

Step-by-step explanation:

The population after 68 years from now is 160, 000.

A relation of the form y = [tex]a^x[/tex], with the independent variable x ranging over the entire real number line as the exponent of a positive number a.

Given:

10000 is the initial population

2 is the rate at which the population grows

68/17 is the number of periods that the population grows

Now, using Exponential function the population can be represented as

= 10000 x [tex]2^{(68/17)}[/tex]

= 10000 x [tex]2^{(4)}[/tex]

= 10000 x 16

= 160, 000

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The probability of flipping heads, spinning an odd number, and then flipping tails is 1/8.

The probability of flipping heads, spinning an odd number, and then flipping tails is given by the product of the individual probabilities of each event.

The probability of flipping heads is 1/2,

the probability of spinning an odd number is 2/4 or 1/2, and

the probability of flipping tails is 1/2.

So, the probability of flipping heads, spinning an odd number, and then flipping tails is:

1/2 * 1/2 * 1/2 = 1/8

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6. The probability that Flight A will have a full flight is 0.4163.

7. The probability that all passengers who show up will have a seat on the flight is 0.5731.

8. The probability that Flight B will have exactly 68 customers show up is 0.0904.

9. The probability that all passengers that show up will have a seat on the flight is 0.9707.

6. If the airline chooses not to oversell flight A and sells exactly 96 tickets, the probability that it will have a full flight can be calculated using the binomial distribution. Let X be the number of passengers who show up for the flight.

Then, X follows a binomial distribution with n = 96 and p = 0.97 (since the probability that a passenger shows up is 1 - 0.03 = 0.97). Thus, the probability that all 96 passengers show up is:

P(X = 96) = (96 choose 96) × [tex]0.97^{96}[/tex] × [tex]0.03^0[/tex] = 0.4163

So, the probability that Flight A will have a full flight is 0.4163.

7. If the airline oversells Flight A with 99 tickets sold, the probability that all passengers who show up will have a seat on the flight (i.e. 3 or more no-shows) can be calculated using the binomial distribution again. Let Y be the number of no-shows for the flight. Then, Y follows a binomial distribution with n = 99 and p = 0.03. We want to find the probability that Y is greater than or equal to 3 (i.e. there are 3 or more no-shows), which can be calculated as:

P(Y >= 3) = 1 - P(Y <= 2) = 1 - ((99 choose 0) × [tex]0.03^0[/tex] × [tex]0.97^{99}[/tex] + (99 choose 1) × [tex]0.03^1[/tex] × [tex]0.97^{98}[/tex] + (99 choose 2) × [tex]0.03^2[/tex] × [tex]0.97^{97}[/tex]) = 0.5731

So, the probability that all passengers who show up will have a seat on the flight is 0.5731.

8. If the airline oversells Flight B with 70 tickets sold, the probability that the flight will have exactly 68 customers show up can be calculated using the binomial distribution with n = 70 and p = 0.98 (since the probability that a customer shows up is 1 - 0.02 = 0.98). Let Z be the number of customers who show up for the flight. Then, the probability that exactly 68 customers show up is:

P(Z = 68) = (70 choose 68) × [tex]0.98^{68}[/tex] × 0.02² = 0.0904

So, the probability that Flight B will have exactly 68 customers show up is 0.0904.

9. If the airline oversells Flight B with 72 tickets sold, the probability that all passengers who show up will have a seat on the flight can be calculated using the binomial distribution again. Let W be the number of no-shows for the flight. Then, W follows a binomial distribution with n = 72 and p = 0.02. We want to find the probability that W is less than or equal to 3, which can be calculated as:

P(W <= 3) = (72 choose 0) × [tex]0.02^0[/tex] × [tex]0.98^{72}[/tex] + (72 choose 1) × [tex]0.02^1[/tex] × [tex]0.98^{71}[/tex] + (72 choose 2) × [tex]0.02^2[/tex] × [tex]0.98^{70}[/tex] + (72 choose 3) × [tex]0.02^3[/tex] × [tex]0.98^{69}[/tex] = 0.9707.

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An equation connecting y and x.​is given as y = 15/x

What is inverse variation?

In Maths, inverse variation is the relationships between variables that are represented in the form of y = k/x, where x and y are two variables and k is the constant value. It states if the value of one quantity increases, then the value of the other quantity decreases

y∞1/x

This implies that y=k/x            where k is a constant

5 = k/3

Making k the subject of the relation

therefore, k = 15

The equation connecting y and x would be y = 15/x

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(a) The max speed of Gregory is, [tex]v_{max} =\frac{32}{4} =8s[/tex]

(b) distance covered in additional z seconds is [tex]distance= 4zmeter[/tex]

(c)[tex]d(x)=30m+4(x-7s)[/tex]

Velocity is defined as the rate of change position of the object with respect to the time and frame of reference.

Gregory runs a 100-meter race. 5 seconds after the race started he is 30 meters from the starting line and reaches his max speed.

(a)The max speed covered by Gregory is ,

For constant speed, we know,

[tex]v=\frac{distance}{time taken}[/tex]

distance= 62m-30m=32m.

And the time take to reach 62m will be

time =9s-5s=4s

So, Gregory's max speed is,

[tex]v_{max} =\frac{32}{4} =8s[/tex]

(b) Suppose Gregory runs for an additional z seconds after reaching his max speed,

As the velocity of Gregory's is [tex]v_{max}[/tex], the distance covered by him is,

[tex]distance=v_{max}*zs[/tex]

[tex]distance= 4zmeter[/tex]

(c) At time 5+ z seconds the distance will be the30

meters he covers in the first part of the race plus the distance he traveled at constant speed. this is:

[tex]distance=v_{max}*z+30\\distance=4\frac{m}{s} *z s[/tex]

At time x ( x greater or equal to 5 seconds) the distance will be the 30 meters he covers in the first part of the race plus the distance he traveled at constant speed. this is:

[tex]d(x)=30m+v_{max}*(x-5s)\\ d(x)=30m+4(x-7s)[/tex]

Hence,(a)The max speed of Gregory is, [tex]v_{max} =\frac{32}{4} =8s[/tex]

(b) distance covered in additional z seconds is [tex]distance= 4zmeter[/tex]

(c)[tex]d(x)=30m+4(x-7s)[/tex]

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AB dotted line segment correctly represents the perpendicular bisector of line segment XY

A line is an infinitely long object with no width, depth, or curvature.

A perpendicular bisector can be defined as a line segment which bisects another line segment at 90 degrees.

In other words, a perpendicular bisector intersects another line segment at 90° and divides it into two equal parts.

In the given figure the XY is a straight line.

The perpendicular bisector to this line is AB.

Hence, AB dotted line segment correctly represents the perpendicular bisector of line segment XY

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Answer: 18

Step-by-step explanation: 20 - 2 = 18

The scales in the ratio of 1 : n are:

a) 1 : 80

c) 1 : 80000

d) 1 : 100000

The ratio shows how many times one value is contained in another value.

Example:

There are 3 apples and 2 oranges in a basket.

The ratio of apples to oranges is 3:2 or 3/2.

We have,

a)

5 cm and 4 m

1 m = 100 cm

So,

4 m = 4 x 100 cm

4 m = 400 cm

Ratio.

= 5 cm : 4 m

= 5 cm : 400 cm

= 1 : 80

c)

5 cm and 4 km

1 km = 100000 cm

So,

4 km = 400000 cm

Ratio.

= 5 cm : 400000 cm

= 1 : 80000

d)

4 cm and 5 km

1 km = 100000 cm

So,

5 km = 500000 cm

Ratio.

= 5 cm : 500000 cm

= 1 : 100000

Thus,

The scales in the ratio of 1 : n are:

1 : 80

1 : 80000

1 : 100000

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Answer:

6/55

Step-by-step explanation:

2/5 ÷ 3 2/3

3 2/3 = 11/3

2/5 ÷ 11/3

= 2/5 x 3/11

= 6/55

So, the answer is 6/55

The average rate of change of life expectancy between the ages of 50 and 60 will be 0.88.

It is the average amount by which the function varied per unit throughout that time period. It is calculated using the gradient of the line linking the interval's ends on the graph depicting the function.

Average rate = [f(x₂) - f(x₁)] / [x₂ - x₁]

The graph on the right shows the remaining life expectancy, E, in years for females of age x.

Then the average rate of change is given as,

Average rate = (32.8 - 24) / (60 - 50)

Average rate = 8.8 / 10

Average rate = 0.88

The average rate of change of life expectancy between the ages of 50 and 60 will be 0.88.

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On solving the provided question, we can say that the probability of the red die rolling is 16.67% probability = 0.1667

A branch of mathematics called probability theory determines the chance that an event will occur or that a statement is true. A probability is a number between 0 and 1, where 1 denotes certainty and about 0 denotes how probable an event is to occur. The possibility or likelihood that a specific event will occur is expressed numerically as a probability. Probabilities can also be expressed as percentages from 0% to 100% or as numbers between 0 and 1. the proportion of occurrences among all equally likely alternatives that lead to a certain event relative to all possible outcomes.

red die, there are 3 numbers greater than 3 out of 6 numbers

Probability (A) = 3/6 = 1/2.

green die, there are 2 numbers less than 3 out of 6 numbers

Probability (B) = 2/6 = 1/3.

events are independent

P(A and B) = [tex]P(A)P(B) = 1/2 X 1/3 = 1/6 = 0.1667[/tex][tex]P(A)P(B) = 1/2 X 1/3 = 1/6 = 0.1667.[/tex]

16.67% probability = 0.1667

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Answer:12

Step-by-step explanation:

n*11=4*33

n=4*33/11=3*4=12

Step-by-step explanation:

Pythagoras

c² = a² + b²

c being the Hypotenuse (the side opposite of the 90° angle). a and b are the legs.

so, in our case,

27² = 16² + x²

729 = 256 + x²

473 = x²

x = sqrt(473)

473 = 11×43 and has therefore no squared factors.

therefore, it cannot be further simplified.

Answer:

Step-by-step explanation:

Multiply x*x, then X*2, then -6*2, lastly -6*x. So in other words multiply all of the factors. pay close attention to the + and - negative signs.

Answer: [tex]x^{2}[/tex]+2x-6x+2x

Simplify: [tex]x^{2}[/tex]-4x+2x

Answer:

1. the lateral is 4.4 the total is 8.2

2. the lateral is 132 and the total is 41

The largest total number of people who attended 3 matches on the day was 17, 000 people.

The largest total number of people who attended 3 matches on the day would be the sum of the largest rounded attendance numbers for each match:

Match 1: 5,000

Match 2: 8,000

Match 3: 4,000

Rounding each attendance number to the nearest 1,000 gives us:

Match 1: 5,000

Match 2: 8,000

Match 3: 4,000

Adding these rounded numbers together gives us:

5,000 + 8,000 + 4,000 = 17,000

Therefore, the largest total number of people who attended the three matches on the day was 17,000.

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The full question is:

Match 1 - 5, 000 people

Match 2 - 8, 000 people

Match 3 - 4, 000 people

This was the attendance at 3 football matches one day, each round to the three nearest 1,000. what's the largest total number of people who attended 3 matches on the day

a) Type of research hypothesis is tested in this study is causal RH

b) Type of design is being used in this study is non-experiment

c) Type of design is being used in this study is within-subjects design

d) No, the design used in this study cannot provide an appropriate test of the research hypothesis.

(a) The research hypothesis being tested in this study is a causal hypothesis. The company president believes that the type of music listened to can predict production line output.

(b) The type of design being used in this study is a non-experiment. The researcher is not manipulating the type of music listened to; instead, the plant is naturally exposed to either country or classical music.

(c) The design being used in this study is within-subjects design, as the same group of individuals is exposed to both types of music. It is also a repeated measures design, as the same individuals are measured twice (once under country music and once under classical music).

(d) No, the design used in this study cannot provide an appropriate test of the research hypothesis. Since the researcher is not manipulating the type of music listened to, it is possible that other variables could be affecting the production line output, such as different environmental conditions on each week, or different levels of motivation.

Therefore, it is difficult to determine if any differences in production line output are actually due to the type of music listened to. A true experiment with random assignment of workers to the two music conditions would provide a better test of the research hypothesis.

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No, it is not possible to have a function f defined on [2,4] that is continuous and has an unbounded range. This is because of the Extreme Value Theorem, which states that a continuous function on a closed interval must have a maximum and minimum value within that interval. If the range of f is unbounded, then there is no maximum or minimum value, which contradicts the Extreme Value Theorem. Therefore, it is not possible to have such a function.

If we modify the condition to allow for an unbounded range in only one direction (either unbounded from above or unbounded from below), then it is possible to have a function that is continuous on [2,4] with an unbounded range.

For example, consider the function f(x) = 1/(x-4) defined on the interval [2,4]. This function is continuous on [2,4] and has an unbounded range in the negative direction, as f(x) approaches negative infinity as x approaches 4 from the left.

Another example is the function g(x) = x^2 defined on the interval [2,4]. This function is continuous on [2,4] and has an unbounded range in the positive direction, as g(x) approaches infinity as x approaches 4 from the right.

So, it is possible to have a continuous function on [2,4] with an unbounded range in one direction, but not in both directions simultaneously.

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Answer:

Step-by-step explanation:

To differentiate the function y = x^4 - x, we will use the power rule of differentiation. The power rule states that if f(x) = x^n, then the derivative of f(x) is f'(x) = nx^(n-1).

So, for y = x^4 - x, we can find the derivative as follows:

y' = 4x^3 - 1

So, the derivative of the function y = x^4 - x is y' = 4x^3 - 1.

The derivation of the critical radius(r*) as  and critical saturation(S*) as  is explained below .

To derive the critical saturation ratio (S*) and critical radius (r*),

We  use calculus to find the maximum value of the saturation ratio for a given radius on the Kohler curve.

First, let us consider the equation for the saturation ratio, S, as a function of radius, r:

that is : S = 1 + ar²/3b  ;

where a and b are constants.

Next, we find the derivative of S with respect to r:

On differentiating Curve "S" with respect to "r" ;

⇒ dS/dr = 2ar/3b  ;

Equating the derivative = 0 , we can find the critical points:

⇒ dS/dr = 0 = 2ar/3b  ;

On Solving for r, we have ;

⇒ r* = √(3b/a)

Next , to find the critical saturation ratio(S*) , we substitute r* back into the original equation for S:

⇒ S* = 1 + ar²/3b = 1 + a×(3b/a)/3b = 1 + √(4a³/27b)

Therefore , the critical saturation ratio and critical radius are written as r* = √(3b/a)  and  S* = 1 + √(4a³/27b)  .

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The given question is incomplete , the complete question is

Using your calculus skills derive the equations for the critical saturation ratio and the critical radius. (Hint: the critical point on the Kohler curve represents a maximum value).

The equations you should end up with are as follows:

r* = √(3b/a) and S* = 1 + √(4a³/27b) Where r* is the critical radius and S* is the critical saturation ratio .