1 1/2 + 1 1/2 + 1 1/2 + 1 1/2 + 1 1/2 + 1 1/2 + 1 1/2 + 1 1/2

E(y) = 1.

We know that:

z = log(y)

Taking the exponential of both sides, we get:

e^z = y

Now, we want to find E(y). We can use the definition of expected value:

E(y) = ∫y*f(y)dy

where f(y) is the probability density function of y. To find f(y), we use the change of variables formula:

f(y) = f(z) * |dz/dy|

where f(z) is the probability density function of z, which is the standard normal distribution, and |dz/dy| is the absolute value of the derivative of z with respect to y:

dz/dy = 1/y

|dz/dy| = 1/y

Substituting in the expression for f(y), we get:

f(y) = f(z) * (1/y)

The density function of the standard normal distribution is:

f(z) = (1/√(2π)) * e^(-z^2/2)

Substituting this expression and the expression for y in terms of z, we get:

f(y) = (1/√(2π)) * e^(-(log(y))^2/2) * (1/y)

We can now plug this expression into the formula for E(y):

E(y) = ∫y*f(y)dy

= ∫e^z * (1/√(2π)) * e^(-(log(y))^2/2) * (1/y) dy

= ∫e^(z - (log(y))^2/2) * (1/√(2π)) dz [using the fact that dy/y = dz]

= ∫e^(-(log(y))^2/2) * (1/√(2π)) dz [since e^z is integrated over the entire range of z]

= (1/√(2π)) * ∫e^(-z^2/2) dz [using the substitution z = log(y)]

= (1/√(2π)) * √(2π) [using the fact that ∫e^(-z^2/2) dz is the integral of the standard normal density function over its entire domain, which is equal to 1]

= 1

Therefore, E(y) = 1.

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The behavior of the integral of [tex]2e^(-x)[/tex] dx, given by the function [tex]-2e^(-x) + C[/tex], shows an exponential decay.

To algebraically determine the behavior of the integral of [tex]2e^(-x) dx[/tex], we need to perform the integration and observe the resulting function.

Step 1: Integrate the function with respect to x:
We want to find the integral ∫[tex]2e^(-x) dx[/tex]. To do this, we apply the integration rule ∫[tex]e^(ax) dx = (1/a)e^(ax) + C[/tex], where a is a constant and C is the integration constant.

In our case, a = -1. So, the integral becomes:
∫[tex]2e^(-x) dx = (1/-1) * 2e^(-x) + C = -2e^(-x) + C[/tex]

Step 2: Analyze the behavior of the function:
Now that we have the integral, we can observe its behavior. The resulting function is [tex]-2e^(-x) + C[/tex], which is an exponential decay function with a negative coefficient. As x approaches positive infinity, [tex]e^(-x)[/tex] approaches 0, making the function approach the constant value C. Similarly, as x approaches negative infinity, [tex]e^(-x)[/tex] approaches infinity, making the function approach negative infinity.

In summary, the behavior of the integral of [tex]2e^(-x)[/tex] dx, given by the function [tex]-2e^(-x) + C[/tex], shows an exponential decay. As x increases, the function approaches a constant value, while as x decreases, the function approaches negative infinity. This behavior is due to the negative coefficient and the exponential term [tex]e^(-x)[/tex] in the function.

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The behavior of the integral of [tex]2e^(-x)[/tex] dx, given by the function [tex]-2e^(-x) + C[/tex], shows an exponential decay.

To algebraically determine the behavior of the integral of [tex]2e^(-x) dx[/tex], we need to perform the integration and observe the resulting function.

Step 1: Integrate the function with respect to x:
We want to find the integral ∫[tex]2e^(-x) dx[/tex]. To do this, we apply the integration rule ∫[tex]e^(ax) dx = (1/a)e^(ax) + C[/tex], where a is a constant and C is the integration constant.

In our case, a = -1. So, the integral becomes:
∫[tex]2e^(-x) dx = (1/-1) * 2e^(-x) + C = -2e^(-x) + C[/tex]

Step 2: Analyze the behavior of the function:
Now that we have the integral, we can observe its behavior. The resulting function is [tex]-2e^(-x) + C[/tex], which is an exponential decay function with a negative coefficient. As x approaches positive infinity, [tex]e^(-x)[/tex] approaches 0, making the function approach the constant value C. Similarly, as x approaches negative infinity, [tex]e^(-x)[/tex] approaches infinity, making the function approach negative infinity.

In summary, the behavior of the integral of [tex]2e^(-x)[/tex] dx, given by the function [tex]-2e^(-x) + C[/tex], shows an exponential decay. As x increases, the function approaches a constant value, while as x decreases, the function approaches negative infinity. This behavior is due to the negative coefficient and the exponential term [tex]e^(-x)[/tex] in the function.

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A key difference between MANOVA and ANOVA is that MANOVA has the ability to handle multiple dependent variables.

The key difference between MANOVA and ANOVA is that MANOVA has the ability to handle multiple dependent variables. ANOVA, on the other hand, only deals with a single dependent variable. MANOVA can also handle multiple independent variables, multiple error terms, and multiple null hypotheses. However, it is important to note that MANOVA is more complex than ANOVA and requires more data to perform accurate analyses.

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.

The temperature ratio T2/T1 = I^(γ-1), and for small disturbances, the change in entropy ΔS ≈ n * R * 2 * (γ - 1) * ε.

The temperature ratio T2/T1 in terms of the pressure ratio P2/P1 can be found using the adiabatic process equation for an ideal gas. For an adiabatic process, the equation is:

P1 * V1^γ = P2 * V2^γ

Where γ is the heat capacity ratio (Cp/Cv). Since P2/P1 = I, we can rewrite the equation as:

V1^γ = V2^γ * I

From the ideal gas law, we know that P1 * V1 / T1 = P2 * V2 / T2, so:

V1 / T1 = V2 / T2 * I

Now, we can substitute V1^γ from the first equation into the second equation:

T2 / T1 = I^(γ-1)

For the change in entropy, we can use the formula:

ΔS = n * Cv * ln(T2 / T1) + n * R * ln(V2 / V1)

Substituting the temperature ratio and the volume ratio, we get:

ΔS = n * R * [(γ - 1) * ln(I) + ln(I^(γ - 1))]

For small disturbances, where I = 1 + ε and ε << 1, we can use the approximation ln(1 + ε) ≈ ε:

ΔS ≈ n * R * (γ - 1) * ε + n * R * (γ - 1) * ε

ΔS ≈ n * R * 2 * (γ - 1) * ε

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Answer:It is given b the x2 of the anwserr fot the firghjt angle

Step-by-step explanation:

1) The Taylor series for sin(x) at x=0 is as follows: sin(x) = x - x3/3! + x5/5! - x7/7! +...

This series' radius of convergence is infinite.

2) The Taylor series for ex near x=0 is as follows: ex = 1 + x + x2/2! + x3/3! + x4/4! +...

This series' radius of convergence is infinite.

3) The Taylor series for x near x=1 is as follows: x = 1 + (x-1)

This series has a radius of convergence of one because it converges exclusively for |x-1| 1.

4) The Taylor series for x2 around x=0 is as follows: x2 = 0 + x2

This series' radius of convergence is infinite.

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The first four terms of the Taylor series for 3/x about the point α = 2 are: 3/2 - (3/4)(x-2) + (3/4)(x-2)² - (9/16)(x-2)³.

To find the Taylor series for a function, we need to calculate its derivatives at the point of expansion and then substitute those values into the general formula for the Taylor series. The general formula for the Taylor series of a function f(x) about a point a is:

f(x) = f(a) + f'(a)(x-a)/1! + f''(a)(x-a)²/2! + f'''(a)(x-a)³/3! + ...

Here, we want to find the Taylor series for the function f(x) = 3/x about the point α = 2. First, we will calculate the derivatives of f(x):

f(x) = 3/x

f'(x) = -3/x²

f''(x) = 6/x³

f'''(x) = -18/x⁴

Now we can substitute these derivatives into the general formula for the Taylor series to get:

f(x) = f(2) + f'(2)(x-2)/1! + f''(2)(x-2)²/2! + f'''(2)(x-2)³/3! + ...

We can calculate the first few terms of this series:

f(2) = 3/2

f'(2) = -3/4

f''(2) = 3/4

f'''(2) = -9/16

Substituting these values into the series, we get:

3/x = 3/2 - (3/4)(x-2) + (3/4)(x-2)² - (9/16)(x-2)³ + ...

So the first four terms of the Taylor series for 3/x about the point α = 2 are 3/x = 3/2 - (3/4)(x-2) + (3/4)(x-2)² - (9/16)(x-2)³

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The equation for the total number of coins is given as follows:

x + y = 12.

The equation for the total value of the coins is given as follows:

0.1x + 0.05y = 2.4.

The variables for the system of equations are defined as follows:

They have a total of 12 coins, hence the equation for the total number of coins is given as follows:

x + y = 12.

Considering the value of each coin, 10 cents = 0.1 and 5 cents = 0.05, the  equation for the total value of the coins is given as follows:

0.1x + 0.05y = 2.4.

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The equation for the total number of coins is given as follows:

x + y = 12.

The equation for the total value of the coins is given as follows:

0.1x + 0.05y = 2.4.

The variables for the system of equations are defined as follows:

They have a total of 12 coins, hence the equation for the total number of coins is given as follows:

x + y = 12.

Considering the value of each coin, 10 cents = 0.1 and 5 cents = 0.05, the  equation for the total value of the coins is given as follows:

0.1x + 0.05y = 2.4.

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Answer:

Step-by-step explanation:

Answer:7

Step-by-step explanation: as she pays with 2 £20s it'll be 40 so £40 - 8.50 which is £31.50. then 31.50/4.50 which is 7

Answer:

Step-by-step explanation:

24/5-12/5=12/5

To simplify 2 4/5 - 1 2/5, we first need to convert the mixed numbers into improper fractions.

Step 1: Convert the mixed numbers to improper fractions:

2 4/5 = (2 x 5 + 4)/5 = 14/5

1 2/5 = (1 x 5 + 2)/5 = 7/5

Step 2: Subtract the two improper fractions:

14/5 - 7/5 = (14 - 7)/5 = 7/5

Step 3: Convert the resulting fraction back into a mixed number, if necessary:

7/5 can be written as 1 2/5

Therefore, 2 4/5 - 1 2/5 = 1 2/5

The correct option is: a. mn vertices and m+n edges. To determine the number of vertices and edges in the graph K_m,n, you should consider that it is a bipartite graph. A bipartite graph is a graph in which the vertices can be divided into two disjoint sets, and every edge connects a vertex from one set to another.

In the graph K_m,n, there are m vertices in the first set and n vertices in the second set. So, the total number of vertices is m + n.
The graph K_m,n is a complete bipartite graph, meaning that every vertex in one set is connected to every vertex in the other set. Therefore, there are m * n edges in the graph K_m,n.
So, the correct option is: a. mn vertices and m+n edges

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Diverges. Series is not a geometric series as it does not have a common ratio. However, we can rewrite the series as:
7n + 18-n = 7n(1 + 18(-1/n))
As n approaches infinity, the second term inside the parentheses approaches 1, so we can write:
7n(1 + 18(-1/n)) ≈ 7n(1 + 0) = 7n
Thus, we can see that the series is a constant multiple of the series 7n, which is a geometric series with a common ratio of 7. Since the common ratio is greater than 1, the series diverges.

To determine if the series is convergent or divergent, we should  find the limit of the terms as n goes to infinity.
The series can be rewritten as: (7n) + (18(-n)n)

As n goes to infinity, the term 7n will also go to infinity. Meanwhile, the term 18(-n)n will approach 0 since any number

raised to a negative power becomes smaller as n increases. However, the 7n term dominates the series, so the limit of

the terms is not 0 as n goes to infinity.
Therefore, the series is divergent.  Diverges; the limit of the terms, an, is not 0 as n goes to infinity.

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Answer: 38845

Step-by-step explanation:

Answer:

38,845

Step-by-step explanation:

Answer:

the mountains bring Pat joy because it is beautiful

only one I know

Step-by-step explanation:

:)

Answer:

B and E

Step-by-step explanation:

They both have the same number of untis as Z

The frequency response of the LTI system described by the difference equation y[n] = 3x[n] + 2x[n-1] + x[n-2] is given by H( [tex]e^j^\omega[/tex] ) = 3 + 2e^(-jω) +

[tex]e^-^2^j^\omega[/tex] .


1. Convert the difference equation to the frequency domain using the Fourier transform.
2. Replace x[n] with X( [tex]e^j^\omega[/tex]) and y[n] with Y( [tex]e^j^\omega[/tex]).
3. Solve for the transfer function H( [tex]e^j^\omega[/tex]) = Y( [tex]e^j^\omega[/tex]) / X( [tex]e^j^\omega[/tex]).

For the given difference equation:
Y( [tex]e^j^\omega[/tex]) = 3X( [tex]e^j^\omega[/tex]) + 2X( [tex]e^j^\omega[/tex])[tex]e^-^j^\omega[/tex] + X( [tex]e^j^\omega[/tex]) [tex]e^-^2^j^\omega[/tex]

Divide both sides by X( [tex]e^j^\omega[/tex]):
H( [tex]e^j^\omega[/tex]) = Y( [tex]e^j^\omega[/tex]) / X( [tex]e^j^\omega[/tex]) = 3 + 2[tex]e^-^j^\omega[/tex] +  [tex]e^-^2^j^\omega[/tex]

This expression represents the frequency response of the given LTI system.

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Answer:

multiply the bottom by 2

Step-by-step explanation:

There were 200 participants at the telematch.

The second degree is represented mathematically by a quadratic equation, where the highest power of the variable is 2.

It is expressed as ax² + bx + c = 0, where x is the variable and a, b, and c are the coefficients.

Let the total number of participants be P. Then, the number of children is (P-125), and the number of girls is (P-125) × (1-B/(P-125)), where B is the number of boys, put all values:

(P-125) × (1-B/(P-125)) = (P-B-125)/2

Simplifying the above equation, we get:

B² - 250B + (P-125)² = 0

We know the quadratic formula;

B = (250 ± √(250² - 4×(P-125)²))/2

Since B must be an integer, only the positive root is possible, and it must be a whole number.
Therefore, we can solve for P by trying out integer values for B until we find one that gives a whole number for P. Trying out values, we find that B = 100 gives P = 200, which is a whole number.
Therefore, there were 200 participants at the Telematch.

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The value of x that satisfies the given conditions is approximately 7.

Given that KLMN is similar to PQRS. This means that the corresponding sides of these two angles are proportional. We can use this property to set up a proportion between the sides of the two angles.

Let LM and RQ be corresponding sides in the two triangles, and let KN and SP be the other corresponding sides. Then we have:

LM/RQ = KN/SP

Substituting the given values, we get:

(4x + 4)/48 = (7x - 9)/60

To solve for x, we cross-multiply, which gives us:

(4x + 4) * 60 = (7x - 9) * 48

Expanding both sides, we get:

336x - 432 = 240x + 240

Simplifying and solving for x, we get:

96x = 672

x = 7

Therefore, the value of x that satisfies the given conditions is approximately 7.

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Answer: 672 Cubic Yards

Step-by-step explanation:

To find the volume of a rectangular prism, you need to multiply its length by its width by its height.

In this case, the length is 14 yards, the width is 6 yards, and the height is 8 yards.

So, the volume of the rectangular prism is:

14 yards × 6 yards × 8 yards = 672 cubic yards

Therefore, the volume of the rectangular prism is 672 cubic yards.

x+y=10

225x+70y=1165 where x is number of slider in the combination

y is the number of chicken wing in the combination.

An equation is a mathematical statement that expresses the equality between two mathematical expressions. It typically consists of mathematical symbols, such as numbers, variables, and mathematical operators, arranged in a specific pattern or format.

A combination refers to a way of selecting or arranging objects without regard to their order, where the order of selection does not matter. A combination is a selection of objects where the arrangement or order of the objects is considered irrelevant.

Let x=number of slider

y= number of chicken wing

then, x+y= 10 ,

Since each slider has 225 calories and each chicken wing has 70 calories, then

225x+70y= 1165

Hence the system of equations are:

x+y=10

225x+70y=1165

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Answer:

50% of 30 is 15. 25% of 40 is 10. So, the product of 50% of 30 and 25% of 40 is 150.

Here's the calculation:

```

(50/100) * 30 * (25/100) * 40 = 150

```

Step-by-step explanation:

Answer:

--------------------

Given equation:

    [tex]x+1=\sqrt{19-x}[/tex]

Square both sides, considering 19 - x ≥ 0  ⇒ x ≤ 19:

Solve the quadratic equation by factoring:

The matching choice is B.

The set {[tex]v_{1 }, v_{2}, v_{3}[/tex]}  is the basis for the subspace of R4 because C1=C2=C3=0.

What is a subspace?

It is a part of linear algebra. The members of the subspace are all vectors and also they all have same dimensions. It is also called as vector subspace. A vector space that is totally contained within another vector space is known as a subspace. Both are required to completely define one because a subspace is defined relative to its contained space; for instance, R2 is a subspace of R3, but also of R4, C2, etc.

The given set in the question is:

{(1,-2,3,4),(-1,3,0,-2),(2,-3,9,10)}

As the set {V1, V2, V3} spam a subset of R4;

then,

C1V1 + C2V2 + C3V3= 0

C1(1,-2,3,4) + C2(-1,3,0,-2) + C3(2,-3,9,10) =0

On solving we will get following equation from above equation:

C1 + 2C2 + C3 =0

C1-C3=0

-5C1 + 2C2=0

-6C1 - 2C2 + 8C3 =0

From the above equation we can easily conclude that;

C1=C2=C3=0

So, {V1,V2,V3}  are linearly independent.

Thus set is the basis for subspace of R4.

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The difference between the minimum and the maximum value of the expression 14a^2b^2 is 224.

The maximum of the quantity 14a^2b^2 occurs from the given equation, we know that a = 4/b. Substituting this into the expression for 14a^2b^2, we get:

14(4/b)^2b^2 = 14(16/b^2)*b^2

                     =224

So the maximum value of 14a^2b^2 is 224, here a, b is non-negative integers, to get the minimum value of the expression is one of the integer must be zero if the one of the integers is zero then the minimum value of the expression is becomes 0.

Explanation; -

STEP 1:- To get the maximum value of the function use the given conditions a b=4 and substitute in the given expression 14a^2b^2.

STEP2:-  After substituting the value evaluate the expression and get the maximum value of the expression.

STEP3:-  To get the minimum value of the expression minimize the value of the a and b by the observation it is clear that the minimum value of the expression is zero.

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Based on probability, the response to the question is,

[tex]a).\ (\frac{N}{(M+N)} )^M\\\\b).\ C(N+k-1,k)^*((\frac{M}{M+N} )^M)^*((\frac{(N+k-1)}{(M+N)} )^k)[/tex]

Probability measures the likelihood or probability of an event happening. It is a number between 0 and 1, where 0 signifies an unlikely occurrence (one that would never happen) and 1 denotes an expected event (one that would happen frequently). Events between 0 and 1 have probabilities between 0 and 1, and the closer an event's probability approaches 1, the more probable it is to occur.

After removing all of the green apples, there is a chance that there won't be an apple in the box [tex](\frac{N}{(M+N)} )^M[/tex].

This is so that there are always less apples overall and fewer green apples overall after each removal. On the first draw, there is a chance of removing a green apple of M / (M + N).

On the second draw, there is a chance of removing another green apple (M-1) / (M + N - 1) until all M green apples have been taken out. These probabilities can be combined to determine the likelihood that all M green apples are taken out of the box, leaving nothing inside.

The binomial coefficient indicates the likelihood that exactly k apples remain in the box after all the green apples have been removed,

[tex]C(N+k-1, k) * ((\frac{M}{(M+N)} )^M) * ((\frac{(N+k-1)}{(M+N)} )^k)[/tex]

This is due to the fact that C(N+k-1, k) methods for choosing which of the remaining (N+k-1) apples are red, and the likelihood that this

choice will be made is [tex](\frac{(N+k-1)}{(M+N)} )^k*((\frac{M}{(M+N)} )^M)[/tex].

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Answer:

Step-by-step explanation:

The equation of the line that passes through the points (3, 6) and (-1, -4) can be found using the point-slope formula.

First, find the slope of the line using the formula:

slope = (y2 - y1)/(x2 - x1)

where (x1, y1) = (3, 6) and (x2, y2) = (-1, -4).

slope = (-4 - 6)/(-1 - 3) = -10/-4 = 5/2

Now that we have the slope, we can use it in the point-slope formula:

y - y1 = m(x - x1)

where m is the slope and (x1, y1) is either one of the given points. Let's use (3, 6):

y - 6 = (5/2)(x - 3)

Simplifying this equation, we get:

y - 6 = (5/2)x - 15/2

y = (5/2)x - 3/2

Therefore, the equation of the line that passes through the points (3, 6) and (-1, -4) is y = (5/2)x - 3/2.

Answer:

5/2

Step-by-step explanation:

Slope = change in y coordinate/change in x coordinate.

In this example, Slope = [tex]\frac{-4 - 6}{-1 - 3} = \frac{-10}{-4} = \frac{10}{4} =\frac{5}{2}[/tex]

Your slope is 5/2.