True or False. When working with big data, a sample size is significantly large if the variability virtually disappears.
A. True
B. False

For each given set of information:

1)sin x = -5/13, x in Quadrant III

sin 2x = -0.96, cos 2x = 0.28, tan 2x = -3.42

2)tan x = -1/4, cos x > 0

sin 2x = -0.48, cos 2x = 0.88, tan 2x = -0.55

3)sin x = 5/13, x in Quadrant I

sin 2x = 0.87, cos 2x = 0.48, tan 2x = 1.81

4)sin x = 5/13, csc x < 0

sin 2x = -0.87, cos 2x = 0.48, tan 2x = -1.81

The Double-Angle Formula for Sine is: sin 2x = 2sin x cos x.

The Half-Angle Formula for Sine is: sin(x/2) = ±√[(1 - cos x) / 2].

Since sin x = -5/13 and x is in Quadrant III, we know that cos x is negative. We can use the formula for sin 2x to find sin 2x = 2sin x cos x = 2(-5/13)(-12/13) = -0.96. Similarly, we can find cos 2x = cos²x - sin²x = (12/13)² - (-5/13)² = 0.28, and tan 2x = sin 2x / cos 2x = -3.42.

We know that tan x = -1/4 and cos x > 0. Using the Pythagorean identity, we can find sin x = √(1 - cos²x) = √(1 - (16/17)²) = -5/17 (since x is in Quadrant IV, sin x is negative). Using the formula for sin 2x, we can find sin 2x = 2sin x cos x = 2(-5/17)(16/17) = -0.48.

Similarly, we can find cos 2x = cos²x - sin²x = (16/17)² - (-5/17)² = 0.88, and tan 2x = sin 2x / cos 2x = -0.55.

Since sin x = 5/13 and x is in Quadrant I, we know that cos x is positive. Using the formula for sin 2x, we can find sin 2x = 2sin x cos x = 2(5/13)(12/13) = 0.87. Similarly, we can find cos 2x = cos²x - sin²x = (12/13)² - (5/13)² = 0.48, and tan 2x = sin 2x / cos 2x = 1.81.

Since sin x = 5/13 and csc x < 0, we know that x is in Quadrant IV. Using the formula for sin 2x, we can find sin 2x = 2sin x cos x = 2(5/13)(-12/13) = -0.87. Similarly, we can find cos 2x = cos²x - sin²x

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Answer:

Step-by-step explanation:

You want the areas of two circles, one with radius 4 cm, the other with diameter 12 m.

The area of a circle is given by the formula ...

  A = πr²

The radius (r) is half the diameter, so the second circle's radius is 6 m.

The area is ...

  π(4 cm)² = 16π cm² ≈ 50.3 cm²

The area is ...

  π(6 m)² = 36π m² ≈ 113.1 m²

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Answer:

y = 21

Step-by-step explanation:

The independent value (x) in this case is 2 (given). Plug in 2 for x in the given equation:

y = 4x + 13

y = 4(2) + 13

Solve using PEMDAS. PEMDAS is the order of operations, and stands for:

Parenthesis

Exponents (& Roots)

Multiplications

Divisions

Additions

Subtractions

~

First, multiply 4 with 2, then add 13:

[tex]y = 4 *2 + 13\\y = (4 * 2) + 13\\y = 8 + 13\\y = 21[/tex]

when the independent value is 2, the dependent value is 21.

~

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Answer:

4 and 26

Step-by-step explanation:

If the area is 36 and the length is 9 that means that the width is 4 because if we multiply 9 by 4 we get 36.

The perimeter is just adding 4 + 4 + 9 + 9 = 26

Hope this helps :)

Pls brainliest...

In this case, sin(4) and -sin(5) cancel out, sin(8) and -sin(9) cancel out, and so on. Since each pair of terms cancel out, the sum of the series converges to 0.

We want to determine the sum of the series:

[tex]\sum(_{n=1} ^\ infinity)}(sin(4n) - sin(4n+1))[/tex]

Notice that for each term in the series, we have sin(4n) - sin(4n+1). To find the sum, we can examine the first few terms of the series:

[tex]Term1: sin(4) - sin(5)\\Term2: sin(8) - sin(9)\\Term3: sin(12) - sin(13)...[/tex]

Now, observe that the series consists of alternating positive and negative sine values, creating a telescoping series. In a telescoping series, the terms cancel each other out, leaving only a finite number of terms remaining.

In this case, sin(4) and -sin(5) cancel out, sin(8) and -sin(9) cancel out, and so on. Since each pair of terms cancel out, the sum of the series converges to 0.

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The angle between AFE is measured (A) 42°.

Since ΔABC is an equilateral triangle, all its angles are 60°. Since CAD-18°,: ∠CAE = ∠CAD + ∠DAE = 18° + 60° = 78°.

Since AC is the angle bisector of ∠BCD,:

∠ACB = ∠ACD = (1/2)∠BCD. Since ΔABC is equilateral, ∠BCA = 60°.

Therefore, ∠BCD = ∠BCA + ∠ACB = 60° + (1/2)∠BCD, which implies that ∠ACB = 30°.

Since BE- CD,:

∠BEC = ∠BCD - ∠CED = ∠ACB - ∠CED = 30° - ∠CED.

Since ∠CAF = 12°,:

∠BAC = ∠CAD + ∠DAF = 18° + 12° = 30°.

Therefore, ∠BCA = 30°, and BC = AC.

Let x = ∠CED. Since BE = CD and BC = AC,: CE = AD = BC = AC.

In ΔCED,: ∠ECD = 180° - ∠CED - ∠CDE = 180° - x - 60° = 120° - x.

In ΔCAD,: ∠CAD + ∠CDA + ∠ACD = 180°, which implies that ∠CDA = 60° - (1/2)∠CAD = 60° - 9° = 51°.

In ΔADF,: ∠ADF = 180° - ∠BAC - ∠DAF = 180° - 30° - 12° = 138°.

In ΔAFE,: ∠AFE = ∠ACB + ∠BEC + ∠CED + ∠ECD + ∠CDA + ∠ADF = 30° + (180° - 30° - x) + x + (120° - x) + 51° + 138° = 489° - x.

Since the angles of a triangle sum to 180°:

∠AFE + ∠EAF + ∠AEF = 180°

∠AFE + 60° + 78° = 180°

∠AFE = 42°.

Therefore, the answer is (A) 42°.

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Step-by-step explanation:

Twenty pieces and EIGHT are chocolates

  Steven has an eight out of twenty chance of picking a chocolate

        8 / 20 = 4/10 =   .4     ( = 40% chance )

Answer:

40%

Step-by-step explanation:

Hope this helps! =D

The fraction that represents the amount of chips each student should receive is 1/9 or 2/18. (Option 4)

The problem states that 18 students want to share two bags of chips equally. Therefore, we need to divide the chips into 18 equal parts to find the amount each student should receive. We can represent this as:

2 bags of chips = 18 equal parts

To find the fraction of chips each student should receive, we need to divide the total number of parts (18) by the number of students (18):

18 parts ÷ 18 students = 1 part/student

Therefore, each student should receive 1 part out of the 18 total parts. We can express this as a fraction:

1 part/18 parts = 1/18

Since we have two bags of chips, each containing 1/18 of the total chips, we can add them together to get the total amount of chips each student should receive:

1/18 + 1/18 = 2/18

Simplifying this fraction, we get:

2/18 = 1/9

Therefore, each student should receive 1/9 of the total chips.

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Complete Question:

A class of 18 students wants to share two bags of chips equally. Which fraction represents the amount of chips each student should receive?

you need to add 12 to 2 to get your answer which will be 14

The range is the best measure of variability, and it equals 8.

For Question 13:

The best measure of variability for this data would be the range, which is the difference between the highest and lowest values.

In this case, the highest value is 9 and the lowest value is 1, so the range is 9 - 1 = 8.

Therefore, the answer is "The range is the best measure of variability, and it equals 8."

For Question 14:

To find the central angle for each lake activity, we need to calculate the percentage of campers who chose each activity and then multiply that percentage by 360 (the total number of degrees in a circle). The percentage for each activity is:

Kayaking: 15%

Wakeboarding: 11%

Windsurfing: 7%

Waterskiing: 13%

Paddleboarding: 54%

Multiplying these percentages by 360, we get:

Kayaking: 54 degrees

Wakeboarding: 39.6 degrees

Windsurfing: 25.2 degrees

Waterskiing: 46.8 degrees

Paddleboarding: 194.4 degrees

Therefore, the lake activity with a central angle of 39.6 degrees is Wakeboarding.

For Question 15:

The percentage who chose ketchup is 63/150 = 0.42, or 42%. Applying this percentage to the total attendance of 5,000, we get:

0.42 * 5,000 = 2,100

Therefore, the answer is "2,100."

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Answer:

D is the correct answer

Step-by-step explanation:

The correct formula for the margin of error for estimating a population mean when the population standard deviation is unknown is E = tα/2 × s/√n.

Step 1: The margin of error (E) is a measure of the uncertainty or variability associated with estimating a population mean from a sample.

Step 2: The formula for the margin of error involves three key components:

The critical value (tα/2) from the t-distribution, which depends on the desired level of confidence (α) and the sample size (n). The critical value represents the number of standard errors away from the mean at which the confidence interval will be constructed.

The sample standard deviation (s), which is an estimate of the population standard deviation based on the sample data. Since the population standard deviation is unknown, we use the sample standard deviation as an approximation.

The square root of the sample size (√n), which accounts for the variability of the sample mean.

Step 3: The critical value (tα/2) is chosen based on the desired level of confidence. For example, if we want a 95% confidence interval, the value of α is 0.05, and we would look up the corresponding critical value for a two-tailed t-distribution with n-1 degrees of freedom.

Step 4: Once we have the critical value, we multiply it by the sample standard deviation (s) divided by the square root of the sample size (√n) to obtain the margin of error (E).

Therefore, the correct formula for the margin of error for estimating a population mean when the population standard deviation is unknown is E = tα/2 × s/√n.

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The relationship between j and k can be expressed as j = k^(-3) * C, where C is a constant. To find the value of C, we can use the initial condition j = 3 when k = 6:

3 = 6^(-3) * C

C = 3 * 6^3 = 648

So the relationship is j = 648 / k^3. To find another possible value for j and k, we can simply plug in a different value for k:

For option A:

j = 648 / 2^3 = 81

For option B:

j = 648 / 3^3 = 24

For option C:

j = 648 / 2^3 = 81

For option D:

j = 648 / 81^3 = 0.0008

For option E:

j = 648 / 2^3 = 81

Therefore, the only option that is another possible value for j and k is (A) j = 18, k = 2.

An equation that would describe the line of best fit is

Using the line of best fit, a prediction of Spot's weight after 18 months is 35 pounds.

In order to determine a linear equation for the line of best fit (trend line) that models the data points contained in the graph, we would use the point-slope equation:

y - y₁ = m(x - x₁)

Where:

First of all, we would determine the slope of this line;

Slope (m) = (y₂ - y₁)/(x₂ - x₁)

Slope (m) = (20 - 5)/(10 - 2)

Slope (m) = 15/8

Slope (m) = 1.875

At data point (2, 5) and a slope of 1.875, a linear equation for the line of best fit can be calculated by using the point-slope form as follows:

y - y₁ = m(x - x₁)

y - 5 = 1.875(x - 2)  

y = 1.875x + 1.25

When x = 18, the weight is given by:

y = 1.875(18) + 1.25

y = 35 pounds.

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Complete Question:

John recorded the weight of his dog Spot at different ages as shown in the scatter plot below.

Part A:

Write an equation that would describe the line of best fit.

Part B:

Using the line of best fit, make a prediction of Spot's weight after 18 months.

The number of linear extensions of P is (n choose n-h) * (n-h choose w-1)

To show that the number of linear extensions of P is (n choose n-h) * (n-h choose w-1), we can use the following combinatorial argument:

Consider the Hasse diagram of P, which has height h and width w = 3. Since the width is 3, there must be a chain of length 3 in the Hasse diagram.

Let x, y, and z be the three elements in this chain, with x at the bottom and z at the top.

Since there are no other relations in P, we know that x is not related to y, y is not related to z, and x is not related to z.

We can now partition the remaining n-3 elements of P into three sets: A, B, and C.

A contains all elements less than x, B contains all elements between x and y (exclusive), and C contains all elements greater than y.

Each of these sets has size h+1, since they must collectively contain n-3 elements and there are three fixed elements (x, y, and z) that do not belong to any of these sets.

We can now construct a linear extension of P as follows:

Choose any permutation of the elements in A. This can be done in (h+1)! ways.

Choose any permutation of the elements in B. This can be done in (w-1)! = 2! ways, since B has size w-1.

Choose any permutation of the elements in C. This can be done in (h+1)! ways.

Thus, the total number of linear extensions of P is ([tex]h+1)! * (w-1)! * (h+1)! = (h+1)!^2 * (w-1)!.[/tex]

Now we can simplify this expression using the fact that h = n-3:

[tex](h+1)!^2 * (w-1)! = ((n-2)!)^2 * 2![/tex]

= (n-2) * (n-3) * (n-4) * ... * 2 * 1 * 2

= n * (n-1) * (n-2) * (n-3) * ... * 3 * 2 * 1 / (n-1) / (n-2)

= (n choose n-3) * (n-3 choose 2)

Therefore, the number of linear extensions of P is (n choose n-h) * (n-h choose w-1), as desired.

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The number of linear extensions of P is (n choose n-h) * (n-h choose w-1)

To show that the number of linear extensions of P is (n choose n-h) * (n-h choose w-1), we can use the following combinatorial argument:

Consider the Hasse diagram of P, which has height h and width w = 3. Since the width is 3, there must be a chain of length 3 in the Hasse diagram.

Let x, y, and z be the three elements in this chain, with x at the bottom and z at the top.

Since there are no other relations in P, we know that x is not related to y, y is not related to z, and x is not related to z.

We can now partition the remaining n-3 elements of P into three sets: A, B, and C.

A contains all elements less than x, B contains all elements between x and y (exclusive), and C contains all elements greater than y.

Each of these sets has size h+1, since they must collectively contain n-3 elements and there are three fixed elements (x, y, and z) that do not belong to any of these sets.

We can now construct a linear extension of P as follows:

Choose any permutation of the elements in A. This can be done in (h+1)! ways.

Choose any permutation of the elements in B. This can be done in (w-1)! = 2! ways, since B has size w-1.

Choose any permutation of the elements in C. This can be done in (h+1)! ways.

Thus, the total number of linear extensions of P is ([tex]h+1)! * (w-1)! * (h+1)! = (h+1)!^2 * (w-1)!.[/tex]

Now we can simplify this expression using the fact that h = n-3:

[tex](h+1)!^2 * (w-1)! = ((n-2)!)^2 * 2![/tex]

= (n-2) * (n-3) * (n-4) * ... * 2 * 1 * 2

= n * (n-1) * (n-2) * (n-3) * ... * 3 * 2 * 1 / (n-1) / (n-2)

= (n choose n-3) * (n-3 choose 2)

Therefore, the number of linear extensions of P is (n choose n-h) * (n-h choose w-1), as desired.

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An equation that relates y, the amount of yellow paint in liters, and the amount of blue paint in liters, needed to make the Green Goober's special green paint is 3y + 5b = 8x.

An equation is a mathematical statement that shows that two or more mathematical or algebraic expressions are equal or equivalent.

Mathematical expressions combine variables with constants, numbers, or values with the mathematical operands, addition, subtraction, multiplication, and division.

The yellow paint mixed with the blue paint = 3 liters

The blue paint mixed with the yellow paint = 5 liters

The quantity of the special green paint = 8 liters

Let the yellow paints = 3y

Let the blue paints = 5b

Let the special green paints = 8x

3y + 5b = 8x

Thus, the equation that represents the situation is 3y + 5b = 8x.

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The average velocity from t = 5 to t = 5.1 is -245 m/s.

An equation for the average velocity from 5 seconds to

t seconds is Δt = t - 5.

Required instantaneous velocity at t = 5 is (-50) m/s.

The rock is going down at that moment.

We can tell because the coefficient of the t² term in the equation for d(t) is negative.

The mathematical quantity for instantaneous velocity is a derivative.

How to find the average velocity of the rock from t = 5 to t = 5.1?

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

Δd = d(5.1) - d(5) = (35(5.1) - 5(5.1)²) - (35(5) - 5(5)²) ≈ -24.5

Δt = 5.1 - 5 = 0.1

Therefore, the average velocity from t = 5 to t = 5.1 is Δd/Δt ≈ -24.5/0.1 = -245 m/s

To find an equation for the average velocity from 5 seconds to t seconds, we need to calculate the change in distance and change in time over this interval:

Δd = d(t) - d(5) = (35t - 5t²) - (35(5) - 5(5)²) = 35(t - 5) - 5(t² - 25)

Δt = t - 5

Therefore, an equation for average velocity from 5 seconds to t seconds is Δt = t - 5

To find the instantaneous velocity of the rock at t = 5, we need to take the limit of the average velocity expression as Δt approaches 0,

instantaneous velocity at t = 5 = lim(Δt→0) [35 - 5(t + 5)] = 35 - 5(5 + 5) = -50 m/s

Since the instantaneous velocity at t = 5 is negative, the rock is going down at that moment. We can tell because the coefficient of the t² term in the equation for d(t) is negative, which means the parabolic shape of the trajectory is concave downward. The mathematical quantity for instantaneous velocity is a derivative, specifically the derivative of the distance function with respect to time.

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The average velocity from t = 5 to t = 5.1 is -245 m/s.

An equation for the average velocity from 5 seconds to

t seconds is Δt = t - 5.

Required instantaneous velocity at t = 5 is (-50) m/s.

The rock is going down at that moment.

We can tell because the coefficient of the t² term in the equation for d(t) is negative.

The mathematical quantity for instantaneous velocity is a derivative.

How to find the average velocity of the rock from t = 5 to t = 5.1?

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

Δd = d(5.1) - d(5) = (35(5.1) - 5(5.1)²) - (35(5) - 5(5)²) ≈ -24.5

Δt = 5.1 - 5 = 0.1

Therefore, the average velocity from t = 5 to t = 5.1 is Δd/Δt ≈ -24.5/0.1 = -245 m/s

To find an equation for the average velocity from 5 seconds to t seconds, we need to calculate the change in distance and change in time over this interval:

Δd = d(t) - d(5) = (35t - 5t²) - (35(5) - 5(5)²) = 35(t - 5) - 5(t² - 25)

Δt = t - 5

Therefore, an equation for average velocity from 5 seconds to t seconds is Δt = t - 5

To find the instantaneous velocity of the rock at t = 5, we need to take the limit of the average velocity expression as Δt approaches 0,

instantaneous velocity at t = 5 = lim(Δt→0) [35 - 5(t + 5)] = 35 - 5(5 + 5) = -50 m/s

Since the instantaneous velocity at t = 5 is negative, the rock is going down at that moment. We can tell because the coefficient of the t² term in the equation for d(t) is negative, which means the parabolic shape of the trajectory is concave downward. The mathematical quantity for instantaneous velocity is a derivative, specifically the derivative of the distance function with respect to time.

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The radius of the circle is approximately 1.13 kilometers.

The formula for the area (A) of a circle is:

4 = π[tex]r^2[/tex]

where r is the radius of the circle and π (pi) is a constant approximately equal to 3.14.

We are given that the area of the circle is 4 square kilometers. So we can set up an equation:

4 = π[tex]r^2[/tex]

To solve for r, we can divide both sides of the equation by π and then take the square root of both sides:

r = √(4/π)

r ≈ 1.13 km

Therefore, the radius of the circle is approximately 1.13 kilometers.

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Angle A, angle B and angle C are collinear and are proved.

Collinear angles refer to a set of angles that share the same line of action or lie along the same straight line. In other words, collinear angles are angles that have a common vertex and their sides are formed by the same line.

The sum of the measures of collinear angles is always 180 degrees, as they together form a straight angle.

If we consider triangle PCQ;

Since line CP = line CQ; then angle P = angle Q = x

m∠PCQ = 180 - 2x

If we consider triangle PBQ;

Since line PB = line BQ; then angle P = angle Q = x

m∠PBQ = 180 - 2x

If we consider triangle PAQ;

Since line AP = line AQ; then angle P = angle Q = x

m∠PAQ = 180 - 2x

Thus, angle A, angle B and angle C are collinear.

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Let f be the function defined x^3 for x< or =0 or x for x>o.

The correct answer is (D) f ‘(x)>0 for x not equal 0.

(A)f is an odd function

f is not an odd function because f(-x) does not equal -f(x) for all x.

(B) f is discontinuous at x=0

f is continuous at x=0

because the limit of f as x approaches 0 from the left is 0 and the limit of f as x approaches 0 from the right is also 0, and these limits are equal to f(0)=0.

(C) f has a relative maximum

f does not have a relative maximum because f(x) increases as x increases for x>0 and decreases as x decreases for x<0, but there is no point where f(x) is greater than all nearby values of f.

(D) f ‘(x)>0 for x not equal 0

f ‘(x) = 3x^2 for x<0 and 1 for x>0, which is greater than 0 for all x not equal to 0.

(E) This statement is not true because (D) is true.

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Let f be the function defined x^3 for x< or =0 or x for x>o.

The correct answer is (D) f ‘(x)>0 for x not equal 0.

(A)f is an odd function

f is not an odd function because f(-x) does not equal -f(x) for all x.

(B) f is discontinuous at x=0

f is continuous at x=0

because the limit of f as x approaches 0 from the left is 0 and the limit of f as x approaches 0 from the right is also 0, and these limits are equal to f(0)=0.

(C) f has a relative maximum

f does not have a relative maximum because f(x) increases as x increases for x>0 and decreases as x decreases for x<0, but there is no point where f(x) is greater than all nearby values of f.

(D) f ‘(x)>0 for x not equal 0

f ‘(x) = 3x^2 for x<0 and 1 for x>0, which is greater than 0 for all x not equal to 0.

(E) This statement is not true because (D) is true.

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It will take "6 years" for the sum of 10000 to generate an interest of 7500 at the simple interest rate of 12.5% per annum.

The "Simple-Interest" is a type of interest that is calculated as a fixed percentage of the principal amount for each period of time.

We use the formula for simple interest to find the time;

⇒ Simple Interest = (Principle × Rate × Time) / 100, where Principle is = initial sum, Rate is = interest rate per annum, and Time = time period for which interest is calculated,

In this case, we have:

Principle = 10000

Rate = 12.5%

Simple Interest = 7500

Substituting the values,

We get,

⇒ 7500 = (10000 × 12.5 × Time)/100,

⇒ 7500 = 1250 × Time,

⇒ Time = 6,

Therefore, the time taken is 6 years.

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The given question is incomplete, the complete question is

In how many years the sum of 10000 will generate an interest of 7500 at the simple interest-rate of 12.5% per annum?

In total 560 ways a committee of 3 professors and 2 instructors can be chosen from 6 professors and 8 instructors if the committee consists of at least one professor.

Combinations are used to calculate the total number of possible outcomes from a given set of items.

The total number of possibilities of selecting a committee of 3 professors and 2 instructors from 6 professors and 8 instructors is calculated using the combination formula:

Number of ways of selecting a committee=

{Number of ways of selecting 3 professors from 6 professors} X {Number of ways of selecting 2 instructors from 8 instructors}

=  (6C3) X (8C2)

= (6!/(3!*3!)) X (8!/(2!*6!))

= 20 X 28

= 560

Therefore, in total 560 ways a committee of 3 professors and 2 instructors can be chosen from 6 professors and 8 instructors if the committee consists of at least one professor.

From this sample space, 3 professors and 2 instructors are required to be selected for the committee. Therefore, the combination formula is used to calculate the total number of ways of selecting the committee in which the order of the members doesn't matter.

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X and Y are not independent.

P(Y > 2X) = 3/16.

Marginal pdf of X = 12x(1-x)² for 0 < x < 1

(a) To determine if X and Y are independent, we need to check if the joint pdf can be factored into the product of the marginal pdfs:

f(x,y) = 24xy if 0 < x, 0 < y, x + y < 1, and zero otherwise.

Marginal pdf of X can be calculated by integrating the joint pdf over the all possible values of y:

f(x) = ∫ f(x,y) dy from 0 to 1-x

= ∫ 24xy dy from 0 to 1-x

= 12x(1-x)² for 0 < x < 1

Similarly, the marginal pdf of Y can be found by integrating the joint pdf over all possible values of x:

f(y) = ∫ f(x,y) dx from 0 to 1-y

= ∫ 24xy dx from 0 to 1-y

= 12y(1-y)² for 0 < y < 1

To check for independence, we need to verify if f(x,y) = f(x)f(y) for all x and y. However, if we multiply the marginal pdfs, we get:

f(x)f(y) = 144xy(1-x)²(1-y)² for 0 < x < 1 and 0 < y < 1

This is not the same as the joint pdf, so X and Y are not independent.

(b) To find P(Y > 2X), we need to integrate the joint pdf over the region where Y > 2X:

P(Y > 2X) = ∫∫ f(x,y) dA over the region where Y > 2X

= ∫∫ 24xy dA over the region where Y > 2X

= ∫∫ 24xy dxdy over the region where 0 < y < 2x and x+y < 1

= ∫[0,1/2] ∫[y/2,1-y] 24xy dxdy

= 3/16

Therefore, P(Y > 2X) = 3/16.

(c) The marginal pdf of X is given by:

f(x) = ∫ f(x,y) dy from 0 to 1-x

= ∫ 24xy dy from 0 to 1-x

= 12x(1-x)² for 0 < x < 1

Same result we get in part (a).

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X and Y are not independent.

P(Y > 2X) = 3/16.

Marginal pdf of X = 12x(1-x)² for 0 < x < 1

(a) To determine if X and Y are independent, we need to check if the joint pdf can be factored into the product of the marginal pdfs:

f(x,y) = 24xy if 0 < x, 0 < y, x + y < 1, and zero otherwise.

Marginal pdf of X can be calculated by integrating the joint pdf over the all possible values of y:

f(x) = ∫ f(x,y) dy from 0 to 1-x

= ∫ 24xy dy from 0 to 1-x

= 12x(1-x)² for 0 < x < 1

Similarly, the marginal pdf of Y can be found by integrating the joint pdf over all possible values of x:

f(y) = ∫ f(x,y) dx from 0 to 1-y

= ∫ 24xy dx from 0 to 1-y

= 12y(1-y)² for 0 < y < 1

To check for independence, we need to verify if f(x,y) = f(x)f(y) for all x and y. However, if we multiply the marginal pdfs, we get:

f(x)f(y) = 144xy(1-x)²(1-y)² for 0 < x < 1 and 0 < y < 1

This is not the same as the joint pdf, so X and Y are not independent.

(b) To find P(Y > 2X), we need to integrate the joint pdf over the region where Y > 2X:

P(Y > 2X) = ∫∫ f(x,y) dA over the region where Y > 2X

= ∫∫ 24xy dA over the region where Y > 2X

= ∫∫ 24xy dxdy over the region where 0 < y < 2x and x+y < 1

= ∫[0,1/2] ∫[y/2,1-y] 24xy dxdy

= 3/16

Therefore, P(Y > 2X) = 3/16.

(c) The marginal pdf of X is given by:

f(x) = ∫ f(x,y) dy from 0 to 1-x

= ∫ 24xy dy from 0 to 1-x

= 12x(1-x)² for 0 < x < 1

Same result we get in part (a).

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A linear equation that best represent the given data is: A. y = 4.6x + 26.5.

In this scenario, the number of times fertilized would be plotted on the x-axis (x-coordinate) of the scatter plot while the yield of crop per acre would be plotted on the y-axis (y-coordinate) of the scatter plot through the use of Microsoft Excel.

On the Microsoft Excel worksheet, you should right click on any data point on the scatter plot, select format trend line, and then tick the box to display a linear equation for the line of best fit (trend line) on the scatter plot.

From the scatter plot (see attachment) which models the relationship between the number of times fertilized and the yield of crop per acre, a linear equation for the line of best fit is given by:

y = 4.6x + 26.5

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The minimal number of simple transpositions needed to write τ as a product of simple transpositions is 3. τ is not in A₅ because it contains an odd number of transpositions. τσ₁τ⁻¹ = σ₂, showing that the conjugation by τ maps σ₁ to σ₂. σ₁ and σ₂ belong to A₅, and (34)τ belongs to A₅. Also, product is computed τ₁σ₁τ₁⁻¹ = σ₂ by using transpositions with σ₁,σ₂ ∈ A₅ and τ1 is (34)τ ∈ A5.

To write τ as a product of simple transpositions, we can use the following formula τ = (a₁ a₂)(a₁ a₃)(a₂ a₄)(a₃ a₅)

Using this formula with a₁=1, a₂=3, a₃=2, a₄=4, and a₅=5, we get:

τ = (13)(12)(34)(25)

Therefore, we need four simple transpositions to write τ as a product of simple transpositions.

To show that τ is not in A₅, we can use the fact that the parity of a permutation is equal to the parity of the number of inversions in the permutation. The number of inversions in τ is 3, which is odd, so τ is not in A₅.

To show that τσ₁τ⁻¹ = σ₂, we can simply compute the product

τσ₁τ⁻¹ = (13)(245)(1)(2)(345)(24)(13) = (3)(4)(152) = σ₂

To show that σ₁,σ₂ ∈ A₅, we can check that they are even permutations. Both σ₁ and σ₂ are products of three disjoint transpositions, so they have order 2 and are even. Therefore, σ₁,σ₂ ∈ A₅.

To compute τ₁ = (34)τ, we can first compute τ, and then apply the transposition (34) to the result

τ = (13)(245) = (13)(24)(45)

τ₁ = (34)(13)(24)(45) = (14)(23)(45)

Finally, to show that τ₁σ₁τ₁⁻¹ = σ₂, we can compute the product

τ₁σ₁τ₁⁻¹ = (14)(23)(45)(1)(2)(345)(23)(14)(45) = (3)(4)(152) = σ₂

Therefore, τ₁σ₁τ₁⁻¹ = σ₂, as required.

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The table has been completed below.

An equation to represent the function P is P(x) = 4x.

In order to use the given linear function to complete the table, we would have to substitute each of the values of x (x-values) into the linear function and then evaluate as follows;

By substituting the given side lengths into the formula for the perimeter of a square, we have the following;

Perimeter of square, P(x) = 4x = 4(0) = A = 0 inches.

Perimeter of square, P(x) = 4x = 4(1) = B = 4 inches.

Perimeter of square, P(x) = 4x = 4(2) = C = 8 inches.

Perimeter of square, P(x) = 4x = 4(3) = D = 12 inches.

Perimeter of square, P(x) = 4x = 4(4) = E = 16 inches.

Perimeter of square, P(x) = 4x = 4(5) = F = 20 inches.

Perimeter of square, P(x) = 4x = 4(6) = G = 24 inches.

In this context, the given table should be completed as follows;

x        0       1      2     3      4       5      6

P(x)    0       4      8     12    16     20    24

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A Risk Taker (decision maker) would choose the project with a. The highest Coefficient of Variation.

The Coefficient of Variation (CV) measures the risk per unit of return, and a higher CV indicates a higher degree of risk. A risk taker is someone who is willing to take on more risk for the potential of higher rewards, so they would choose the project with the highest CV.

A risk taker, also known as a decision maker who is willing to accept higher risks for potentially higher rewards, would likely choose the project with the highest expected value, regardless of the coefficient of variation or standard deviation.

The expected value represents the average outcome of the project, taking into account both the probability and magnitude of each possible outcome.

However, it's important to note that a higher CV also means a higher chance of loss, so the decision should be made after careful consideration of all factors.

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The range for the given domain is the one in option A.  [1,∞)

Remember that the range is the set of the possible outputs. In this case the function is the parent quadratic function:

f(x) =  x²

Particularly, here the domain is [1 ,∞)

When x = 1 (the minimum of the domain) we get.

f(1)= 1² = 1

And when x goes to infinity also does x^2, then the range of the function for the given domain is the one in option A:

[1,∞)

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The test statistic for this hypothesis is 8.57, rounded to two decimal places.

A hypothesis is a proposed explanation for a phenomenon or set of observations that can be tested through experimentation or further observation. It is essential to scientific inquiry, as the hypothesis provides a starting point for further investigation. Hypotheses can be generated through observation, existing research, or logical deduction. Once a hypothesis is identified, it can be tested through experimentation or observation.

The test statistic for this hypothesis is calculated using the formula t = (M - μ) / (s/√n),
where M is the sample mean,
μ is the population mean (in this case, 0 days late),
s is the sample standard deviation and n is the sample size.
Therefore, the test statistic is calculated as:
t = (1.2 - 0) / (1.4 / √100)
t = 1.2 / 0.14
t = 8.57
Therefore, the test statistic for this hypothesis is 8.57, rounded to two decimal places.

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Answer:

True.

In the data set 19, 8, 7, 5, 4, 9, 2, 5, 8, 6, the value 19 is an outlier. An outlier is a data point that is significantly different from the rest of the data points in a set. In this case, the value 19 is much higher than the other values in the set. This could be due to a number of factors, such as a data entry error or a genuine outlier.

There are a number of ways to identify outliers. One common method is to use the interquartile range (IQR). The IQR is the difference between the third and first quartiles of a data set. A data point that is more than 1.5 times the IQR above the third quartile or below the first quartile is considered to be an outlier.

In this case, the value 19 is more than 1.5 times the IQR above the third quartile. Therefore, it is considered to be an outlier.

Outliers can be removed from a data set, or they can be left in. Removing outliers can sometimes improve the accuracy of statistical analysis, but it is important to be careful not to remove too many data points. Leaving outliers in can sometimes make the data set more difficult to analyze, but it can also provide useful information about the data.

Step-by-step explanation:

Answer:

True

Step-by-step explanation:

Outliers are numbers far from the rest of the numbers.