Work out the values of a,b,c and d.
justify each of your answers

Answer:

Part 1:  (2x + 15)° + (4x + 9)° = 90°

Part 2:  x = 11

Part 3:  First angle = 37°

Part 4:  Second angle = 53°

Step-by-step explanation:

Pt. 1:  When two angles are complementary, they form a right angle and their sum is 90°

Thus, the equation we can use to find x is (2x + 15)° + (4x + 9)° = 90°

Pt. 2:  Now we can simply solve for x:

[tex](2x+15)+(4x+9)=90\\2x+15+4x+9=90\\6x+24=90\\6x=66\\x=11[/tex]

Pts 3 & 4:  Now that we've solved for x, we can plug in 11 for x for both angles to find their measures.

First angle:  2(11) + 15 = 22 + 15 = 37°

Second angle:  4(11) + 9 = 44 + 9 = 53°

When x=-5, dy/dt = -700 and  When x=2, dy/dt = 0.

To find dy/dt when x=-5, we first need to differentiate y with respect to t using the chain rule:

dy/dt = (dy/dx) * (dx/dt)

Using the power rule and product rule for differentiation, we can find:

dy/dx = 6[tex]x^{2}[/tex] + 2x
dx/dt = -5 (since x is given as -5)

Substituting these values into the chain rule equation, we get:

dy/dt = (6(-5[tex])^{2}[/tex] + 2(-5)) * (-5) = -700

Therefore, when x=-5, dy/dt = -700.

To find dy/dt when x=2, we can use the same method:

dy/dx = 6[tex]x^{2}[/tex] + 2x
dx/dt = 0 (since x is constant)

Substituting these values into the chain rule equation, we get:

dy/dt = (6(2[tex])^{2}[/tex] + 2(2)) * 0 = 0

Therefore, when x=2, dy/dt = 0.

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The statement is generally true.

The binomial distribution is a probability distribution that describes the number of successes in a fixed number of independent trials, where each trial can either result in a success or a failure

According to the given information:

The statement is generally true. According to the Central Limit Theorem, as the sample size increases, the distribution of sample means approaches a normal distribution. In the case of a binomial distribution, the sample mean represents the proportion of successes in the sample. Therefore, when the sample size is large enough (typically n ≥ 30), the distribution of sample proportions closely approximates a normal distribution, and the mean and standard deviation of the sample proportion can be used to approximate the mean and standard deviation of a normal distribution. However, there may be cases where the normal approximation is not appropriate due to skewness or other factors, so it is always important to consider the context and assumptions of the problem.

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The volume of the cone is 261.67 inches³.

The diagram above is a cone. The volume of the cone can be found as follows:

volume of a cone = 1 / 3 πr²h

where

Therefore,

h = 10 metres

r = 10 / 2 = 5 metres

Therefore,

volume of a cone = 1 / 3 × 3.14 × 5² × 10

volume of a cone = 1 / 3 × 3.14 × 25 × 10

volume of a cone = 3.14 × 250 / 3

volume of a cone = 785 / 3

volume of a cone = 261.666666667

volume of a cone = 261.67 inches³

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The signal has a fundamental period of 6 and contains exclusively odd harmonics (n = 1, 3, 5,...).

A periodic signal is one that repeats the same pattern or sequence of values over a set period of time, referred to as the period or duration of one cycle.

The given signal is:

f(t) = 3sin(t) + 2sin(3t)

To determine whether this signal is periodic or aperiodic, we need to check whether it repeats itself after a certain time interval.

For a signal to be periodic, there must be a value T such that:

f(t) = f(t+T)   for all t

Let's first consider the first term of the signal: 3sin(t). This term is a sinusoidal function with a period of 2π. That is, it repeats itself every 2π units of t.

Now let's consider the second term of the signal: 2sin(3t). This term is also a sinusoidal function, but with a period of 2π/3. That is, it repeats itself every 2π/3 units of t.

To check whether the sum of these two terms is periodic, we need to find the smallest value of T for which the two terms will repeat themselves simultaneously. This is known as the fundamental period.

The fundamental period of a sum of two sinusoidal functions with different periods is given by the least common multiple (LCM) of the individual periods.

In this case, the individual periods are 2π and 2π/3. The LCM of these periods is:

LCM(2π, 2π/3) = 6π

Therefore, the fundamental period of the signal is 6π.

Since the signal is periodic, we can write it as a Fourier series:

f(t) = a0/2 + ∑(n=1 to infinity) [an*cos(nωt) + bn*sin(nωt)]

where:

ω = 2π/T = π/3   (fundamental angular frequency)

an = (2/T) ∫(0 to T) f(t)*cos(nωt) dt

bn = (2/T) ∫(0 to T) f(t)*sin(nωt) dt

Using the formulae for an and bn, we can calculate the coefficients of the Fourier series:

a0 = (1/T) ∫(0 to T) f(t) dt = 0   (since f(t) is odd)

an = (2/T) ∫(0 to T) f(t)*cos(nωt) dt = 0

bn = (2/T) ∫(0 to T) f(t)*sin(nωt) dt =

    (2/6π) ∫(0 to 6π) [3sin(t) + 2sin(3t)]*sin(nωt) dt

Evaluating this integral, we get:

bn = [tex](2/π) [(-1)^{n-1} + (1/3)(-1)^{n-1}][/tex]

Therefore, the Fourier series of the signal is:

f(t) = ∑(n=1 to infinity) [(2/π) [(-1)^n-1 + (1/3)(-1)^n-1]]*sin(nπt/3)

So, the signal is periodic with a fundamental period of 6π, and it contains only odd harmonics (n = 1, 3, 5, ...).

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The angles in the triangle are as follows:

m∠1 = 51 degrees

m∠2 = 33 degrees

m∠3 = 123 degrees

m∠4 = 24 degrees

The sum of angles in a triangle is 180 degrees. A right angle triangle is a triangle with one of its angles as 90 degrees.

Therefore, let's find the missing angle of the triangle.

Hence,

m∠1 = 180 - 72 - 57(sum of angles in a triangle)

m∠1 = 51 degrees

m∠2 = 90 - 72

m∠2 = 33 degrees

m∠3 = 180 - 57(sum of angles on a straight line)

m∠3 = 123 degrees

m∠4 = 180 - 123 - 33

m∠4 = 24 degrees

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The distribution we would use to look up the p-value is option (c) t(15).

Since the population standard deviation is unknown and the sample size is less than 30, we should use a t-distribution to look up the p-value.

The test statistic can be calculated as

t = (sample mean - hypothesized population mean) / (sample standard deviation / √(sample size))

Substitute the values in the equation

t = (1988 - 2000) / (32 / √(16))

Do the arithmetic operation

t = -3

The degrees of freedom for the t-distribution would be (sample size - 1), which is 15 in this case.

Therefore, the correct option is (c) t(15).

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Answer:

Its probably C

Step-by-step explanation:

I actually dont know Im just using my psychic powers

the closest answer i got was C soo good luck

If the five-year discount factor is d, then the present value of $1 received in five years’ time is option (a) 1/(1+d)^5

The present value of $1 received in five years' time is given by the formula

Present Value = Future Value / (1 + Discount Rate)^Number of Years

Where the Discount Rate is the rate at which future cash flows are discounted back to their present value, and Number of Years is the time period over which the cash flow occurs.

Using this formula, we can calculate the present value of $1 received in five years' time as follows

Present Value = $1 / (1 + d)^5

Therefore, the correct option is (a) 1 / (1 + d)^5

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The mean and standard deviation of the sample proportion is 0.4 and 0.09798 respectively.

To find the mean and standard deviation of the sample proportion, we can use the following formulas:
mean of sample proportion = p = proportion in the population = 0.4

The standard deviation of sample proportion = σp = √(p(1-p)/n), where n is the sample size.
Plugging in the values given in the question, we get:
mean of sample proportion = p = 0.4

standard deviation of sample proportion = σp = √(0.4(1-0.4)/30) = 0.09798 (rounded to 5 decimal places)

Therefore, the mean of the sample proportion is 0.4 and the standard deviation of the sample proportion is 0.09798 (rounded to 5 decimal places).

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The critical points are x = π/4 and x = 3π/4, and the extreme values on the interval [0,2] are 1/2 and -1/2,

To find the critical points of f(x) = 2 sin(x) cos(x) on the interval [0, 2] and determine the extreme values, we will first take the derivative of the function and set it equal to zero to find the critical points.

f(x) = 2 sin(x) cos(x)

f'(x) = 2 cos(x) cos(x) - 2 sin(x) sin(x) (using the product rule)

[tex]f'(x) = 2(cos^2(x) - sin^2(x))[/tex]

f'(x) = 2(cos(2x))

Setting f'(x) equal to zero to find the critical points, we get:

2(cos(2x)) = 0

cos(2x) = 0

2x = π/2, 3π/2, 5π/2

x = π/4, 3π/4, 5π/4

Only the values x = π/4 and x = 3π/4 are in the interval [0,2], so these are the critical points.

Next, we need to determine the extreme values of f(x) at these critical points and the endpoints of the interval [0,2].

We can do this by evaluating the function at these points and comparing the values.

f(0) = 0

f(π/4) = 2(sin(π/4)cos(π/4)) = sin(π/2)/2 = 1/2

f(3π/4) = 2(sin(3π/4)cos(3π/4)) = -sin(π/2)/2 = -1/2

f(2) = 0

Therefore, the function has a maximum value of 1/2 at x = π/4 and a minimum value of -1/2 at x = 3π/4.

There are no extreme values at the endpoints of the interval [0,2].

Thus, the critical points are x = π/4 and x = 3π/4, and the extreme values on the interval [0,2] are 1/2 and -1/2, respectively.

The final answer is: π/4, 3π/4, 1/2, -1/2

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The prove that has the statements is given in the image attached.

The given table presents a step-by-step explanation of the proof that ΔPQR and ΔSTU are similar triangles. The proof uses the definition of similar polygons, the congruence and similarity postulates, and the properties of equality.

The first two statements state that ΔPQR and ΔSTU are given and that ∠P ≅ ∠S, ∠Q ≅ ∠T, ∠R ≅ ∠U, respectively. These are given as part of the problem.

The third statement asserts that ΔPQR is similar to ΔSTU. This follows from the fact that the corresponding angles of the two triangles are congruent, which is stated in the second statement. This is one of the criteria for the similarity of two triangles, known as the Angle-Angle (AA) Similarity Theorem.

Therefore, the fourth statement defines the concept of similar polygons, which are polygons that have the same shape but may differ in size.

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See text below

SSS Similarity Theorem

If the corresponding sides of two triangles are in proportion, then the two

triangles are similar.

PQ/ST ≅ QR/TU ≅ PR SU

Given:

Prove: Δ PQR ~ ΔSTU

STATEMENT

1

2.

3.

4.

5.

6.

7.

8.

6

9.

10.

11.

12.

13.

14.

REASON

1. By construction

2. Corresponding angles

are congruent

3. -------- Theorem Similarity

4. Definition of Similar Polygons

5. Given

6. By construction

7. Substitution

8. Transitive Property of Equality

9. Multiplication Property of Equality

10. SSS Triangle

Congruence Postulate

11. Definition of Congruent Triangles

12) Substitution

13. Definition of Similar Polygons

14. Transitivity

The following can be answered by the concept of Differentiation.
1. The first antiderivative f'(x) = ∫(10x + sin x) dx = 5x² + (-cos x) + C  

   The second antiderivative f(x) = (5/3)x³ - sin x + Cx + D.

2. The first antiderivative f'(x) = ∫(9x + sin x) dx = (9/2)x² - cos x + C

    The second antiderivative f(x) = (3/2)x³ - sin x + Cx + D.

(1) Given f ''(x) = 10x + sin x, we first find the first antiderivative, f'(x):

f'(x) = ∫(10x + sin x) dx = 5x² + (-cos x) + C

Next, we find the second antiderivative, f(x):

f(x) = ∫(5x² - cos x + C) dx = (5/3)x³ - sin x + Cx + D

So for question (1), f(x) = (5/3)x³ - sin x + Cx + D.

(2) Given f ''(x) = 9x + sin x, we first find the first antiderivative, f'(x):

f'(x) = ∫(9x + sin x) dx = (9/2)x² - cos x + C

Next, we find the second antiderivative, f(x):

f(x) = ∫((9/2)x² - cos x + C) dx = (3/2)x³ - sin x + Cx + D

So for question (2), f(x) = (3/2)x³ - sin x + Cx + D.

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TRAP is a trapezoid. as slope of TR = slope of AP.

We have,

T(-1,1), R(3,4), A (7,2), and P(-1,-4).

We know that the trapezium have two parallel side and the parallel lines have same slope.

So, the slope for line TR

m = (4 - 1) / (3-(-1))

m = 3 / 4

and, the slope of AP

m = (-4-2) / (-1 -7)

m = -6 / (-8)

m= 3/4

As, the slope of TR = slope of AP.

Thus, TRAP is a trapezoid.

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The area of the given triangle is 17.5 square units.

The area of the given hexagon is approximately 93.53 square units.

a) A triangle is a polygon with three sides and three angles. The formula to find the area of a triangle is given by:

Area of Triangle = (1/2) x base x height

where base is the length of one of the sides of the triangle, and height is the perpendicular distance from the base to the opposite vertex. In this problem, we are given the height (H) and base (b) of the triangle, which are 7 and 5, respectively.

Therefore, the area of the triangle can be calculated as:

Area of Triangle = (1/2) x 5 x 7 = 17.5 square units

b) A hexagon is a polygon with six sides and six angles. The formula to find the area of a regular hexagon (i.e., a hexagon with equal sides) is given by:

Area of Hexagon = (3√3/2) x side²

where side is the length of one of the sides of the hexagon. In this problem, we are given the length of the side of the hexagon, which is 6.

Therefore, the area of the hexagon can be calculated as:

Area of Hexagon = (3√3/2) x 6² = (3√3/2) x 36 = 54√3 square units = approx. 93.53 square units

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Thus, Jakob's function C(n) = C(n-1) + 4 accurately represents the number of circles needed to make the nth figure in the given pattern, while Margaret's function C(n) = 4n - 3 does not .

Jakob's function states that the number of circles needed to make the nth figure is equal to the number of circles needed to make the (n-1)th figure plus 4. This implies that for each subsequent figure, 4 more circles are added to the previous figure.

As given C(1) = 1, then according to Jakob's function,

C(2) = C(1) + 4 = 1 + 4 = 5,

C(3) = C(2) + 4 = 5 + 4 = 9, and so on.

This matches the pattern where each figure requires 4 more circles than the previous figure. Therefore, Jakob's function represents the number of circles needed to make the nth figure in the pattern.

Thus, Jakob's function C(n) = C(n-1) + 4 accurately represents the number of circles needed to make the nth figure in the given pattern with each figure using 4 more circles than previous one

Margaret's function: C(n) = 4n - 3

Margaret's function states that the number of circles needed to make the nth figure is equal to 4 times n minus 3. This function represents a linear relationship where the number of circles increases with n. If we plug in n = 1, we get C(1) = 4(1) - 3 = 1, which matches the first figure in the pattern.

However, for n > 1, the function does not accurately represent the number of circles needed for the subsequent figures in the pattern. Therefore, Margaret's function does not fully represent the number of circles needed to make the nth figure in the pattern.

Margaret's function C(n) = 4n - 3 does not represents the number of circles needed to make the nth figure .

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Complete Question: Two students each write a function, C(n) , that they think can be used to find the number of circles needed to make the nth figure in the pattern shown. Use the drop-down menus to explain why each function does or does not represent the number of circles needed to make the nth figure in the pattern?(refer to the image attached)

Answer:

We can use the Pythagorean theorem to find the diagonal length of the screen:

(diagonal)^2 = (width)^2 + (height)^2

(diagonal)^2 = (1.2m)^2 + (0.7m)^2

(diagonal)^2 = 1.44m^2 + 0.49m^2

(diagonal)^2 = 1.93m^2

diagonal = √1.93m^2

diagonal ≈ 1.39m

To convert to centimeters and round to the nearest cm, we multiply by 100 and round the result:

diagonal ≈ 139 cm

Therefore, the size of the television screen is approximately 139 cm.

The distance from each tower to the fire is given as follows:

Suppose we have a triangle in which:

The lengths and the sine of the angles are related as follows:

[tex]\frac{\sin{A}}{a} = \frac{\sin{B}}{b} = \frac{\sin{C}}{c}[/tex]

The sum of the measures of the internal angles of a triangle is of 180º, hence the missing angle is given as follows:

c + 42 + 64 = 180

c = 180 - (42 + 64)

c = 74º.

(opposite to 10 miles).

The measure of the angle opposite to Tower A is of 64º, hence the distance is given as follows:

sin(64º)/d = sin(74º)/10

d = 10 x sine of 64 degrees/sine of 74 degrees

d = 9.35 miles.

The measure of the angle opposite to Tower B is of 42º, hence the distance is given as follows:

sin(42º)/d = sin(74º)/10

d = 10 x sine of 42 degrees/sine of 74 degrees

d = 6.96 miles.

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That is not correct.

The order of multiplication matters in multiplication expressions.

The correct order should be:

6 x a x b = a x b x 6

c x a x b = a x b x c

So the original expressions you provided:

6 x c x a=a x b x c

a x b x c = c x a x b

Are not equivalent. The order of the factors matters in multiplication.

The volume of the solid region bounded on the top by the paraboloid z = 6 - x^2 - y^2 and bounded on the bottom by the cone z = sqrt(x^2 + y^2) is 9π cubic units.

In cylindrical coordinates, the paraboloid and the cone can be expressed as Paraboloid is z = 6 - r^2 and Cone is z = r.

To find the volume of the solid region bounded by these surfaces, we need to integrate over the appropriate limits. Since the cone lies below the paraboloid, we need to integrate from the bottom of the cone to the top of the paraboloid.

The limits of integration for r are 0 to 6^(1/2)cos(theta) since the cone intersects the paraboloid when z=r, giving r = 6^(1/2)sin(theta) and z = 6 - r^2.

The limits of integration for theta are 0 to 2pi since we need to cover the full circle.

The limits of integration for z are r to 6 - r^2.

Therefore, the volume of the solid is given by the triple integral

V = ∫∫∫ r dz dr dθ, where the limits of integration are:

0 ≤ r ≤ 6^(1/2)cos(theta)

0 ≤ θ ≤ 2π

r ≤ z ≤ 6 - r^2

Solving the triple integral,

V = ∫∫∫ r dz dr dθ

= ∫0^2π ∫0^6^(1/2)cos(theta) ∫r^(6-r^2) r dz dr dθ

= ∫0^2π ∫0^6^(1/2)cos(theta) (3r^2 - r^4) dr dθ

= ∫0^2π (9/2 - 2/5 cos^2(theta)) dθ

= 9π

Therefore, the volume of the solid region is 9π cubic units.

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16) This is a two-sample t statistic.

17 )The conservative degrees of freedom for the given statistic is 11

18)the difference between the two groups is not statistically significant at the alpha = 0.05 level, and the reported conclusion is correct.

19) Answer: C. 0.15 < P < 0.20

20)Question is incomplete

A statistic is a numerical summary of a sample, which is a subset of a larger population. Statistics are used in a wide range of fields, including business, economics, social sciences, and more.

The t-statistic is a measure of the difference between a sample mean and a population mean, divided by the standard error of the sample mean. It is used in hypothesis testing to determine if the difference between the two means is significant.

According to the given information:

16) This is a two-sample t statistic.

17 )The conservative degrees of freedom for this statistic can be calculated using the formula: df = (n1 - 1) + (n2 - 1), where n1 and n2 are the sample sizes of the two groups. In this case, the sample sizes are 7 and 6, so the degrees of freedom are (7-1) + (6-1) = 11.

18) To show that this t leads to the quoted conclusion, we need to calculate the p-value for the test. Since the t statistic is negative, we will use a one-tailed test to calculate the p-value. Using a t-distribution table or software, we can find that the p-value for a one-tailed t-test with 11 degrees of freedom and a t-statistic of -1.05 is approximately 0.16. Therefore, we can conclude that the difference between the two groups is not statistically significant at the alpha = 0.05 level, and the reported conclusion is correct.

19) Answer: C. 0.15 < P < 0.20

Yes, this P-value leads to the quoted conclusion. The p-value is greater than 0.05, indicating that we fail to reject the null hypothesis of no difference between the two groups, which is consistent with the study report.

20)Question is incomplete

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For the differential equation xy' + y = 10√x, the general solution is obtained as [tex]y(ln|x| - 1) = 20x^{(\frac{1}{2})} + C[/tex].

What is differential equation?

Any equation with one or more terms and one or more derivatives of the dependent variable with respect to the independent variable is referred to as a differential equation.

We can solve this differential equation using separation of variables. First, we rewrite the equation as -

y' + y/x = 10√(x)/x

Now, we separate the variables and integrate both sides -

∫(y' + y/x) dx = ∫10√(x)/x dx

Integrating the left side with respect to x gives -

∫(y' + y/x) dx = ∫(ln|x|)'y dx

y ln|x| = ∫y' dx

y ln|x| = y + C1

y (ln|x| - 1) = C1

Integrating the right side with respect to x gives -

[tex]\int10\frac{\sqrt{x}}x}dx = 20x^{(\frac{1}{2})} + C2[/tex]

Putting everything together, we have -

[tex]y(ln|x| - 1) = 20x^{(\frac{1}{2})} + C[/tex]

where C = C1 + C2.

This is the general solution to the differential equation.

Therefore, the solution is [tex]y(ln|x| - 1) = 20x^{(\frac{1}{2})} + C[/tex]

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For the differential equation xy' + y = 10√x, the general solution is obtained as [tex]y(ln|x| - 1) = 20x^{(\frac{1}{2})} + C[/tex].

What is differential equation?

Any equation with one or more terms and one or more derivatives of the dependent variable with respect to the independent variable is referred to as a differential equation.

We can solve this differential equation using separation of variables. First, we rewrite the equation as -

y' + y/x = 10√(x)/x

Now, we separate the variables and integrate both sides -

∫(y' + y/x) dx = ∫10√(x)/x dx

Integrating the left side with respect to x gives -

∫(y' + y/x) dx = ∫(ln|x|)'y dx

y ln|x| = ∫y' dx

y ln|x| = y + C1

y (ln|x| - 1) = C1

Integrating the right side with respect to x gives -

[tex]\int10\frac{\sqrt{x}}x}dx = 20x^{(\frac{1}{2})} + C2[/tex]

Putting everything together, we have -

[tex]y(ln|x| - 1) = 20x^{(\frac{1}{2})} + C[/tex]

where C = C1 + C2.

This is the general solution to the differential equation.

Therefore, the solution is [tex]y(ln|x| - 1) = 20x^{(\frac{1}{2})} + C[/tex]

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If you're gonna write. just write the numbers and equations...

a. To find the probability that daily sales will fall between 2,500 and 3,000 gallons, we need to find the proportion of the total area under the probability distribution curve that lies between 2,500 and 3,000 gallons. Since the distribution is uniform, the probability density function is constant over the interval [2,000, 5,000] and equals 1/(5,000 - 2,000) = 1/3,000. Thus, the probability of selling between 2,500 and 3,000 gallons is:

P(2,500 ≤ X ≤ 3,000) = (3,000 - 2,500) / (5,000 - 2,000) = 0.1667

Therefore, the probability that daily sales will fall between 2,500 and 3,000 gallons is approximately 0.1667 or 16.67%.

b. To find the probability that the service station will sell at least 4,000 gallons, we need to find the proportion of the total area under the probability distribution curve that lies to the right of 4,000 gallons. This can be computed as:

P(X ≥ 4,000) = (5,000 - 4,000) / (5,000 - 2,000) = 0.3333

Therefore, the probability that the service station will sell at least 4,000 gallons is approximately 0.3333 or 33.33%.

c. Since the distribution is continuous, the probability of selling exactly 2,500 gallons is zero. This is because the probability of any single point in a continuous distribution is always zero, and the probability of selling exactly 2,500 gallons corresponds to a single point on the distribution curve.

*IG:whis.sama_ent*

For considering a figure present in above figure, the area of shaded region of right angled triangle is equals to the 20 km². So, option(b) is right one.

The area of the shaded region is calculated by the difference between the area of the entire polygon and the area of the unshaded part inside the polygon.

We have a figure present in above figure. It consists two parts one is shaded and non-shaded. It looks like a right angled triangle with angle B is 90°. In case of right angled ∆ABC,

Length of base of triangle, BC = 10 km

Height of triangle, AB = 8 km

In case smaller right angled triangle,

∆ABD, Length of base, BD = 5 km

Length of prependicular, AB = 8 km

We have to determine the area of shaded part. Using above definition, area of shaded part of figure= area of larger right angled triangle - area of smaller right angled triangle

= area( ∆ABC) - area( ∆ABD)

[tex]= \frac{ 1}{2}AB×BC - \frac{ 1}{2}AB×BD \\ [/tex]

=> [tex] = \frac{ 1}{2}×10 ×8 - \frac{ 1}{2}×8× 5[/tex]

= 20.

Hence, required value is 20 square km.

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Complete question:

The above figure complete the question.

What is the area of the shaded region?

a) 20 km²

b) 12 km²

To find the p-values for which this series converges, we need to use the p-test for convergence of a series.

The p-test states that if the series ∑n^p converges, then p must be greater than 1. If p is less than or equal to 1, then the series diverges.

Using this information, we can see that for the given series, we have p = 4(1-5^-p).

We want to find the values of p for which this series converges, so we need to solve for p.

4(1-5^-p) > 1

1-5^-p > 1/4

-5^-p > -3/4

5^-p < 3/4

-plog(5) < log(3/4)

p > log(4/3)/log(5)

So the p-values for which the series converges are all values of p greater than log(4/3)/log(5).

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1. The probability of getting one 1 is 0.5177

2. The probability of getting at least one snake-eyes in 24 throws is 0.4907.

To find the probability of getting at least one 1 when throwing 4 dice, we can first find the probability of not getting any 1s and then subtract that from 1.

There are 6 sides on a die, and 5 sides are not 1. The probability of not getting a 1 in a single die throw is 5/6. Since the dice are independent, the probability of not getting any 1s when throwing 4 dice is (5/6)^4.

Now, we can find the probability of getting at least one 1:

P(at least one 1) = 1 - P(no 1s) = 1 - (5/6)^4 = 0.5177

b) To find the probability of getting at least one snake-eyes (1,1) when throwing 2 dice 24 times, we can first find the probability of not getting any snake-eyes in 24 throws and then subtract that from 1.

The probability of not getting snake-eyes in a single throw of 2 dice is 1 - 1/36 = 35/36, since there are 36 possible outcomes and only 1 of them is snake-eyes.

Now, we can find the probability of not getting any snake-eyes in 24 throws of 2 dice:

P(no snake-eyes in 24 throws) = (35/36)^24 = 0.5093

Finally, we can find the probability of getting at least one snake-eyes in 24 throws:

P(at least one snake-eyes) = 1 - P(no snake-eyes in 24 throws) = 1 - 0.5093 = 0.4907

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The equation of the osculating circle to [tex]y = x^4 - 2x^2 at x = 1[/tex] is: [tex](x - 1/2)^2 + (y + 1)^2 = (1/8)^2[/tex]

The first step in finding the equation of the osculating circle to [tex]y = x^4 - 2x^2[/tex] at x = 1 is to find the values of the first and second derivatives of y with respect to x at x = 1.

[tex]y = x^4 - 2x^2[/tex]

[tex]y' = 4x^3 - 4x[/tex]

[tex]y'' = 12x^2 - 4[/tex]

Evaluate y', y'', and y at x = 1:

[tex]y(1) = 1^4 - 2(1)^2 = -1[/tex]

[tex]y'(1) = 4(1)^3 - 4(1) = 0[/tex]

[tex]y''(1) = 12(1)^2 - 4 = 8[/tex]

The equation of the osculating circle can be expressed as:

[tex](x - a)^2 + (y - b)^2 = r^2[/tex]

where (a, b) is the center of the circle and r is its radius. To find (a, b) and r, we use the following formulas:

[tex]a = x - [(y')^2 + 1]^(^3^/^2^)^/ ^|^y''^|[/tex]

[tex]b = y + y'[(y')^2 + 1]^(^1^/^2^) ^/ ^|^y^''|[/tex]

[tex]r = [(1 + (y')^2)^(^3^/^2^)^] ^/ ^|^y''^|[/tex]

Substituting the values of x, y, y', and y'' at x = 1, we get:

[tex]a = 1 - [0^2 + 1]^(^3^/^2^) ^/ ^|^8^| = 1 - 1/2 = 1/2[/tex]

[tex]b = -1 + 0[0^2 + 1]^(^1^/^2) ^/ ^|^8^| = -1[/tex]

[tex]r = [(1 + 0^2)^(^3^/^2^)^] ^/ ^|^8^| = 1/8[/tex]

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The standard error of the mean, rounded to 2 decimal places, is 1.73.

Explanation:

Given that: Forty-five elements were randomly sampled from a population that has 1500 elements. The sample mean is 180 with a varience of 135.

The standard error of the mean (SEM) is a measure of how much the sample mean is likely to vary from the true population mean. It is calculated as the square root of the sample Variance divided by the square root of the sample size.

Thus,

To find the standard error of the mean, we will use the following formula:

Standard Error of the Mean (SEM) = sqrt(Sample Variance) / sqrt(Sample Size)

Given the information in your question, we have:
- Sample Variance = 135
- Sample Size = 45 because forty-five elements were randomly sampled from a population

Now, we'll calculate the standard error of the mean:

1. Calculate the square root of the sample variance: sqrt(135) ≈ 11.62

2. Calculate the square root of the sample size: sqrt(45) ≈ 6.71

3. Divide the results from steps 1 and 2: 11.62 / 6.71 ≈ 1.73

Therefore, the standard error of the mean, rounded to 2 decimal places, is 1.73.

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Answer:

45

Step-by-step explanation: