Solve using determinants: x 4y − z = −14 5x 6y 3z = 4 −2x 7y 2z = −17 |A| = |Ax| = |Ay| = |Az| =.

The expression for sin(θ + ϕ), we get sin(θ + ϕ) = (-15 - 8sqrt(24))/85 under the conditions.

Using the trigonometric identity sin(a+b) = sin(a)cos(b) + cos(a)sin(b), we have:

sin(θ + ϕ) = sin(θ)cos(ϕ) + cos(θ)sin(ϕ)

We are given that sin(θ) = 15/17 with θ in Quadrant I, so we can use the Pythagorean identity to find cos(θ):

cos(θ) = sqrt(1 - sin^2(θ)) = sqrt(1 - (15/17)^2) = 8/17

We are also given that cos(ϕ) = -5/5 with ϕ in Quadrant II, so we can use the Pythagorean identity again to find sin(ϕ):

sin(ϕ) = -sqrt(1 - cos^2(ϕ)) = -sqrt(1 - (5/5)^2) = -sqrt(24)/5

Substituting these values into the expression for sin(θ + ϕ), we get:

sin(θ + ϕ) = (15/17)(-5/5) + (8/17)(-sqrt(24)/5) = (-15 - 8sqrt(24))/85

Therefore, sin(θ + ϕ) = (-15 - 8sqrt(24))/85 under the given conditions.

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Sure! So we know that the function g is periodic with a period of 2.

This means that the graph of y = g(x) will repeat every 2 units along the x-axis.

We also know that g(x) equals a certain value whenever 3/x is in the interval (1,3).

To graph this, we can start by finding the x-values where 3/x is in that interval.

To do this, we can solve the inequality 1 < 3/x < 3. Multiplying all parts by x (since x is positive), we get x < 3 and x > 1. So the x-values that satisfy this inequality are all the values between 1 and 3.

Now we just need to find the corresponding y-values for those x-values. We know that g(x) equals a certain value when 3/x is in (1,3), but we don't know what that value is. Let's call it y0.

So for x-values between 1 and 3, we have y = y0. For x-values outside that interval, we don't know what y is yet.

To graph this, we can plot the points (1, y0) and (3, y0), and then draw a straight line connecting them. This line represents the part of the graph where 3/x is in (1,3).

For x-values outside the interval (1,3), we know that g(x) repeats every 2 units. So we can just copy the part of the graph we've already drawn and paste it every 2 units along the x-axis.

So the final graph will look like a series of straight lines with two slanted ends, repeated every 2 units along the x-axis. The slanted ends are at (1, y0) and (3, y0), and the lines in between are vertical.

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The solution to the equation which is y/4 = 24/32 is : y = 3.

To solve for y we have to first of all  simplify the right side of the equation by dividing both the numerator and denominator by the greatest common factor which is 8:

y/4 = 24/32

24/32 = 3/4

Substitute back into the original equation

y/4 = 3/4

Multiply both sides of the equation by 4:

y/4 * 4 = 3/4 * 4

Simplifying the right side

y = 3

Therefore the solution  is: y = 3

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Answer:

the answer is going to be22.51

the ground speed of the plane is approximately 340.56 miles per hour.

To find the ground speed of the plane, we need to take into account the effect of the wind on the plane's motion. We can use vector addition to find the resultant velocity of the plane, which is the vector sum of its airspeed and the velocity of the wind.

First, we need to resolve the airspeed into its components, using trigonometry. The component of the airspeed in the eastward direction is given by:

340 cos(124°)

And the component in the northward direction is given by:

340 sin(124°)

The wind is blowing from the west, so its velocity has a magnitude of 45 miles per hour in the westward direction. Therefore, its components are:

-45 in the eastward direction

0 in the northward direction

Now, we can add the components of the airspeed and the wind to get the components of the resultant velocity. The eastward component of the resultant velocity is:

340 cos(124°) - 45

And the northward component is:

340 sin(124°) + 0

Using a calculator, we can evaluate these expressions as follows:

340 cos(124°) - 45 = -171.98

340 sin(124°) + 0 = 298.68

The negative sign on the eastward component indicates that the plane is flying in the westward direction, relative to the ground. Now, we can use the Pythagorean theorem to find the magnitude of the resultant velocity:

|v| = sqrt((-171.98)^2 + (298.68)^2) = 340.56

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There exists a unique solution to the equation ax = b in f.

Since a is non-zero in the field f, there exists a unique multiplicative inverse for a in f, which we denote by [tex]a^{(-1).[/tex]

Now, suppose that there are two solutions to the equation ax = b, say x and y. Then we have:

ax = b

ay = b

Subtracting the second equation from the first, we get:

ax - ay = b - b

a(x - y) = 0

Since a is non-zero, it follows that x - y = 0, i.e., x = y. Therefore, there can be at most one solution to the equation ax = b.

To show that there exists a solution, we can simply divide both sides of the equation ax = b by a to obtain:

[tex]x = a^{(-1)b[/tex]

Since [tex]a^{(-1)[/tex]exists in f, so does x. Therefore, there exists a unique solution to the equation ax = b in f.

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The expression α − β represents the difference between the two zeroes of the quadratic polynomial f(x).

To evaluate α − β, we need to find the values of α and β. In a quadratic polynomial of form ax^2 + bx + c, the zeroes (or roots) α and β can be found using the quadratic formula: x = (-b ± √(b^2 - 4ac)) / (2a).

Given that the quadratic polynomial is f(x) = ax^2 + bx + c, the zeroes α and β satisfy the equation f(α) = 0 and f(β) = 0.

Substituting α and β into the polynomial, we get:

f(α) = aα^2 + bα + c = 0,

f(β) = aβ^2 + bβ + c = 0.

We can rearrange these equations to isolate the term involving the difference α − β:

f(α) - f(β) = a(α^2 - β^2) + b(α - β) = 0.

Factoring out (α - β) from the equation, we have:

(α - β)(a(α + β) + b) = 0.

Since we know that f(x) = ax^2 + bx + c, the sum of the zeroes α + β is given by:

α + β = -b/a.

Substituting this value into the previous equation, we have:

(α - β)(-b + b) = 0,

(α - β)(0) = 0.

Therefore, α - β = 0.

The final answer is α - β = 0, indicating that the difference between the zeroes of the quadratic polynomial is zero, implying that the zeroes are equal.

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The coefficient of correlation is r = 0.9

Given data ,

The coefficient of correlation, denoted by r, is the square root of the coefficient of determination (r²).

Now , the coefficient of determination is given as 0.81.

Therefore, the coefficient of correlation can be calculated as follows:

Taking the square root of the coefficient of determination , we get:

r = √(0.81)

On further simplification , we get:

The square root of 0.81 = 0.9

r ≈ 0.9

Therefore, the value of r = 0.9

Hence, the coefficient of correlation is approximately 0.9

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Therefore, In summary, the CDF of Y is Fy(y) = Fx(y/a) and the PDF of Y is fy(y) = (1/a) * fx(y/a).

To find the CDF of Y, we use the definition:
Fy(y) = P(Y ≤ y) = P(aX ≤ y) = P(X ≤ y/a) = Fx(y/a)
To find the PDF of Y, we take the derivative of the CDF:
fy(y) = d/dy Fy(y) = d/dy Fx(y/a) = fx(y/a)/a
So the CDF of Y is Fy(y) = Fx(y/a) and the PDF of Y is fy(y) = fx(y/a)/a.

To compute the CDF and PDF of Y in terms of Fx and fx, follow these steps:
1. CDF of Y: We need to find Fy(y) which is the probability that Y is less than or equal to y, or P(Y ≤ y). Since Y = aX, we have P(aX ≤ y) or P(X ≤ y/a).
2. Using the definition of CDF, we can now write Fy(y) = Fx(y/a).
3. PDF of Y: To find fy(y), we need to differentiate Fy(y) with respect to y.
4. Using the chain rule, we get fy(y) = dFy(y)/dy = dFx(y/a) * d(y/a)/dy.
5. Notice that d(y/a)/dy = 1/a, therefore fy(y) = (1/a) * fx(y/a).

Therefore, In summary, the CDF of Y is Fy(y) = Fx(y/a) and the PDF of Y is fy(y) = (1/a) * fx(y/a).

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If the population standard deviation is unknown or the sample size is small, we should use the one-sample t-test for means.

To determine which test to use for problem 6 in section 7.4, we need to consider the type of data we have and the characteristics of the population we are trying to make inferences about.

If we know the population standard deviation and the sample size is large (n > 30), we can use the one-sample z-test for means. This test assumes that the population is normally distributed.

If we do not know the population standard deviation or the sample size is small (n < 30), we should use the one-sample t-test for means. This test assumes that the population is normally distributed or that the sample size is large enough to invoke the central limit theorem.

Without additional information about the problem, it is not clear which test to use. If the population standard deviation is known and the sample size is large enough, we can use the one-sample z-test for means. If the population standard deviation is unknown or the sample size is small, we should use the one-sample t-test for means.

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Marilyn sold approximately 28 raffle tickets this week, representing a 75% increase from the previous week's sales.

To find out how many tickets Marilyn sold this week, we first need to determine the 75% increase from last week's sales. Since Marilyn sold 16 tickets last week, we can calculate the increase by multiplying 16 by 0.75 (75% expressed as a decimal). The result is 12, indicating that Marilyn's ticket sales increased by 12 tickets.

To determine the total number of tickets sold this week, we add the increase of 12 to last week's sales of 16 tickets. This gives us a total of 28 tickets sold this week. Therefore, Marilyn sold approximately 28 raffle tickets this week, representing a 75% increase from the previous week's sales of 16 tickets.

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The average weights of gala apples from Walmart and Giant are different.

To perform the hypothesis test, we will use a two-sample t-test assuming equal variances.

The null hypothesis is that the average weights of gala apples from Walmart and Giant are the same:

H0: µ1 = µ2

The alternative hypothesis is that the average weights of gala apples from Walmart and Giant are different:

Ha: µ1 ≠ µ2

The significance level is α = 0.01.

We can calculate the pooled variance, sp^2, as:

sp^2 = [(n1 - 1)s1^2 + (n2 - 1)s2^2] / (n1 + n2 - 2)

Substituting the given values, we get:

sp^2 = [(10 - 1)6.5 + (10 - 1)5] / (10 + 10 - 2) = 5.75

The standard error of the difference between the means is:

SE = sqrt(sp^2/n1 + sp^2/n2)

Substituting the given values, we get:

SE = sqrt(5.75/10 + 5.75/10) = 1.71

The t-statistic is calculated as:

t = (x1 - x2) / SE

Substituting the given values, we get:

t = (95 - 90) / 1.71 = 2.92

The degrees of freedom for the t-distribution is:

df = n1 + n2 - 2 = 18

Using a two-tailed t-test at α = 0.01 significance level and 18 degrees of freedom, the critical t-value is ±2.878. Since our calculated t-value of 2.92 is greater than the critical t-value, we reject the null hypothesis and conclude that the average weights of gala apples from Walmart and Giant are different.

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The premises is R • ∼E • ∼D • G

This is the desired conclusion.

The premises, we can conclude that:

R • ∼E • ∼D

The following steps of deductive reasoning:

From premise 3 and the contrapositive of premise 1 can deduce that:

∼(E • D) ⊃ ∼R

Using De Morgan's Law can rewrite this as:

(∼E ∨ ∼D) ⊃ ∼R

Since R ⊃ (E • D) by premise 1 can substitute this into the above equation to get:

(∼E ∨ ∼D) ⊃ ∼(R ⊃ (E • D))

Using the rule of implication can simplify this to:

(∼E ∨ ∼D) ⊃ (R • ∼(E • D))

From premise 2 know that R • ∼G.

Using De Morgan's Law can rewrite this as:

∼(R ∧ G)

Combining this with the above equation get:

(∼E ∨ ∼D) ⊃ ∼(R ∧ G ∧ E ∧ D)

Simplifying this using De Morgan's Law and distributivity get:

(∼E ∨ ∼D) ⊃ (∼R ∨ ∼G)

Finally, using premise 3 and modus ponens can deduce that:

∼E ∨ ∼D ∨ G

Since we know that R • ∼G from premise 2 can substitute this into the above equation to get:

∼E ∨ ∼D ∨ ∼(R • ∼G)

Using De Morgan's Law can simplify this to:

∼E ∨ ∼D ∨ (R ∧ G)

Multiplying both sides by R and ∼E get:

R∼E∼D ∨ R∼EG

Using distributivity and commutativity can simplify this to:

R(∼E∼D ∨ ∼EG)

Finally, using De Morgan's Law can rewrite this as:

R(∼E ∨ G) (∼D ∨ G)

This is equivalent to:

R • ∼E • ∼D • G

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1. Final es 2.29.

2.Final es 0.49.

3. Final es 0.35.

¡Por supuesto! Voy a explicar cómo realizar las divisiones que solicitaste con dos decimales en el cociente:

Para dividir 42 entre 18.36, se divide el número 42 entre 18.36. El resultado es 2.28852, pero como se pidió que se redondeara a dos decimales, el resultado final es 2.29.

Para dividir 99 entre 201.6, se divide el número 99 entre 201.6. El resultado es 0.49107, pero como se pidió que se redondeara a dos decimales, el resultado final es 0.49.

Para dividir 5.3 entre 15, se divide el número 5.3 entre 15. El resultado es 0.35333, pero como se pidió que se redondeara a dos decimales, el resultado final es 0.35.

Espero que esto te haya sido útil. Si tienes más preguntas, no dudes en preguntar.

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The equation that results from solving the formula of the circumference for b is given as b² = [27v / (4π) - 26 / 4]²(1 - e²). The circumference of an ellipse is approximated by C = 27v, where 2a and 26 are the lengths of the axes of the ellipse.

We have to find the equation that results from solving the circumference formula b. Now, the formula for the circumference of an ellipse is given by;

C = π [2a + 2b(1 - e²)½], Where a and b are the semi-major and semi-minor axes of the ellipse, respectively, and e is the ellipse's eccentricity. As given, C = 27v Since 2a = 26, a = 13

Putting this value of 2a in the formula for circumference;

27v = π [2a + 2b(1 - e²)½]

27v = π [2 × 13 + 2b(1 - e²)½]

27v = π [26 + 2b(1 - e²)½]

Now, dividing by π into both sides;

27v / π = 26 + 2b(1 - e²)½

Subtracting 26 from both sides;

27v / π - 26 = 2b(1 - e²)½

Squaring both sides, we get;

[27v / π - 26]² = 4b²(1 - e²)

Multiplying by [1 - e²] on both sides;

[27v / π - 26]²(1 - e²) = 4b²

Multiplying by ¼ on both sides;

[27v / (4π) - 26 / 4]²(1 - e²) = b²

So, the equation that results from solving the formula of the circumference for b is;

b² = [27v / (4π) - 26 / 4]²(1 - e²). Therefore, the correct option is (A) b² = [27v / (4π) - 26 / 4]²(1 - e²).

Thus, the equation that results from solving the formula of the circumference for b is given as :

b² = [27v / (4π) - 26 / 4]²(1 - e²).

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Thus, If the z-score is less than -1.96 or greater than 1.96, reject the null hypothesis, concluding that the diet is effective in reducing weight.

To address your question using the signed-rank test at the 0.05 level of significance, I'll provide a concise explanation that covers the key aspects without going over 200 words.

(a) Based on Table 20:
1. Calculate the differences in weight for each individual before and after the diet.
2. Rank the absolute values of these differences, ignoring the sign.
3. Sum the ranks of the positive and negative differences separately (i.e., T+ and T-).
4. Determine the smaller of the two sums (T) and compare it to the critical value found in Table 20 (for your specific sample size) at the 0.05 level of significance.

If T is smaller than or equal to the critical value, reject the null hypothesis, concluding that the diet is effective in reducing weight.

(b) Based on the normal approximation of the Wilcoxon test statistic:
1. Follow steps 1-3 from part (a) to calculate T.
2. Calculate the mean (μ) and standard deviation (σ) of the sum of ranks for your sample size using the appropriate formulas.
3. Calculate the z-score using the formula: z = (T - μ) / σ.
4. Compare the z-score to the critical z-value at the 0.05 level of significance (typically ±1.96 for a two-tailed test).

If the z-score is less than -1.96 or greater than 1.96, reject the null hypothesis, concluding that the diet is effective in reducing weight.

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Here are the steps to solve geometry problems involving angle relationships:

For example:

Given: ∠A = 35°, ∠B = 40°

Find: Measure of ∠C

We know interior angles in a triangle sum to 180°:

∠A + ∠B + ∠C = 180°

35 + 40 + ∠C = 180°

∠C = 180 - 35 - 40

= 105°

So the measure of ∠C would be 105°. Then check by verifying other relationships (e.g. adjacent angles form a linear pair, etc.)

Hope these steps and the example problem help! Let me know if you have any other questions.

The formal notation for the distribution of the continuous random variable Z in this case is Z ~ N(15, 49).

In formal notation, the distribution of the continuous random variable Z can be written as Z ~ N(μ, σ^2), where N represents the normal distribution, μ represents the mean, and σ^2 represents the variance.

Given that Z has a mean of 15 and a standard deviation of 7, we know that μ = 15 and σ = 7. The variance can be calculated as σ^2 = 49.

Thus, the formal notation for the distribution of the continuous random variable Z in this case is Z ~ N(15, 49).

This means that the values of Z are normally distributed around the mean of 15, with the spread of the distribution determined by the standard deviation of 7. This notation is commonly used in probability theory and statistics to represent the properties of a given random variable.

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The distribution of the continuous random variable z with a mean of 15 and a standard deviation of 7 can be written as:
z ~ N(15, 49)
where N represents the normal distribution, 15 represents the mean, and 49 represents the variance (which is equal to the square of the standard deviation).
In this case, the mean (µ) is 15 and the standard deviation (σ) is 7. Therefore, the formal notation for this distribution is:

z ∼ N(µ, σ²)

where N represents a normal distribution. Plugging in the given values, we get:

z ∼ N(15, 7²)

So the distribution can be written as:

z ∼ N(15, 49)

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According to question,  (f^-1)'(3) is approximately 0.0414.

To find (f^-1)'(a), we can use the formula:

(f^-1)'(a) = 1 / f'(f^-1(a))

First, we need to find f'(x):

f(x) = x^2 * 5sin(x) * 3cos(x)

f'(x) = (2x * 5sin(x) * 3cos(x)) + (x^2 * 5cos(x) * 3cos(x)) + (x^2 * 5sin(x) * -3sin(x))

= 30xsin(x)cos(x) + 15x^2cos^2(x) - 15x^2sin^2(x)

= 30xsin(x)cos(x) + 15x^2(cos^2(x) - sin^2(x))

= 15x(2sin(x)cos(x) + xcos(2x))

Next, we need to find f^-1(a), where a = 3:

f(x) = 3

x^2 * 5sin(x) * 3cos(x) = 3

x^2sin(x)cos(x) = 1/5

We can't solve for x algebraically, so we'll have to use numerical methods. Using a graphing calculator or a computer algebra system, we can find that f^-1(3) is approximately 0.71035.

Now we can substitute these values into the formula to find (f^-1)'(a):

(f^-1)'(3) = 1 / f'(f^-1(3))

= 1 / f'(0.71035)

≈ 0.0414

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Jenna has groomed 0.41 of the cats in the shelter. To find the percentage of cats she has groomed, we multiply this decimal value by 100. Jenna has groomed 41% of the cats in the shelter.

To calculate the percentage, we need to convert the decimal value of 0.41 to a percentage. To do this, we multiply the decimal by 100. In this case, 0.41 * 100 = 41. Therefore, Jenna has groomed 41% of the cats in the shelter.

The percentage represents a portion of a whole, whereas 100% represents the entire amount. In this context, the whole is the total number of cats in the shelter, and the portion is the number of cats Jenna has groomed. By expressing Jenna's grooming progress as a percentage, we can easily understand and compare her contribution to the overall task. In this case, Jenna has groomed 41% of the cats, indicating a significant effort in helping care for the animals at the shelter.

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The Riemann zeta-function is defined for all complex numbers x with real part greater than 1, that is, the domain of ζ is {x ∈ C : Re(x) > 1}.

However, the zeta function can be analytically extended to a meromorphic function on the whole complex plane except for a simple pole at x = 1, where it has a limit of infinity.

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The correct group of answer choices is B. Y ≤ 5, indicating that Ian can play a maximum of 5 games with the amount of money he has.

To determine how many games Ian can play, we need to solve the inequality: $5.00 + 3y ≤ $20.

Subtracting $5.00 from both sides of the inequality, we have:

3y ≤ $20 - $5.00

3y ≤ $15.00

To isolate y, we divide both sides of the inequality by 3:

y ≤ $15.00 / 3

y ≤ $5.00

Therefore, the solution to the inequality is y ≤ 5.

The correct group of answer choices is B. Y ≤ 5, indicating that Ian can play a maximum of 5 games with the amount of money he has.

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The absolute value of the determinant of the Jacobian for the change of coordinates x = e^-2u cos(4), y = e^-2u sin(4v) is 4e^-2u.Therefore, the absolute value of the determinant of the Jacobian is 4e^-2u.

The Jacobian for the transformation T is given by the matrix:

[ ∂x/∂u  ∂x/∂v ]

[ ∂y/∂u  ∂y/∂v ]

We can compute the partial derivatives as follows:

∂x/∂u = -2e^-2u cos(4)

∂x/∂v = 4e^-2u sin(4v)

∂y/∂u = -2e^-2u sin(4v)

∂y/∂v = 4e^-2u cos(4v)

Therefore, the Jacobian is:

[ -2e^-2u cos(4)   4e^-2u sin(4v) ]

[ -2e^-2u sin(4v)  4e^-2u cos(4v) ]

The absolute value of the determinant of this matrix is:

|det [ -2e^-2u cos(4) 4e^-2u sin(4v) ]| = |-8e^-4u cos(4)v - (-8e^-4u cos(4)v))| = 4e^-2u

Therefore, the absolute value of the determinant of the Jacobian is 4e^-2u.

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Step-by-step explanation:

log2 (7) = x  

2^(log2(7) )  = 2^x

        7 = 2^x                   <======this may be what you want

X and Y are dependent.  [| = x] = P(Y <= x | X=x) = integral from -1 to x of (1/2)dy / (1/2)(1-x) = 2(x+1)/[(1-x)^2] for -1<= x <= 1.

(a) The marginal pdf of X is given by integrating the joint pdf over y from -infinity to infinity and is equal to (x) = integral from x to 1 of (1/2) dy = (1/2)(1-x), for -1<= x <= 1.

(b) The conditional pdf of Y given X=x is given by (y|x) = (x, y) / (x), for -1<= x <= 1 and x <= y <= 1. Substituting the value of the joint pdf and the marginal pdf of X, we get (y|x) = 2 for x <= y <= 1 and 0 otherwise.

(c) The conditional distribution of Y given X=x is given by the cumulative distribution function (CDF) of Y evaluated at y, divided by the marginal distribution of X evaluated at x. Therefore, [| = x] = P(Y <= x | X=x) = integral from -1 to x of (1/2)dy / (1/2)(1-x) = 2(x+1)/[(1-x)^2] for -1<= x <= 1.

(d) The unconditional distribution of Y is given by integrating the joint pdf over x and y, and is equal to [] = integral from -1 to 1 integral from x to 1 (1/2) dy dx = 1/3.

(e) X and Y are not independent since their joint pdf is not the product of their marginal pdfs. To see this, note that for -1<= x <= 0, (x) > 0 and (y) > 0, but (x, y) = 0. Therefore, X and Y are dependent.

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First, we find the determinant of matrix A using the product of pivots:

1 -1 1

3 2 1

4 1 2

Multiplying the first row by 3 and adding it to the second row gives:

1 -1 1

0 5 4

4 1 2

Multiplying the first row by 4 and subtracting it from the third row gives:

1 -1 1

0 5 4

0 5 -2

Multiplying the second row by -1/5 and adding it to the third row gives:

1 -1 1

0 5 4

0 0 -22/5

Therefore, the product of pivots is 1 * 5 * (-22/5) = -22.

Next, we find the determinant of matrix B using the product of pivots:

1 2 3

7 10 1

0 7 1

Multiplying the first row by 7 and subtracting it from the second row gives

1 2 3

0 -4 -20

0 7 1

Multiplying the second row by -7/4 and adding it to the third row gives:

1 2 3

0 -4 -20

0 0 -139/4

Therefore, the product of pivots is 1 * (-4) * (-139/4) = 139.

To find A-1 using the method of cofactors, we first find the matrix of cofactors:

2 -5 -2

-1 4 1

-2 5 -1

Taking the transpose of this matrix gives the adjugate matrix:

2 -1 -2

-5 4 5

-2 1 -1

Dividing the adjugate matrix by the determinant of A (-22) gives:

-2/11 5/22 1/11

5/22 -2/11 -5/22

1/11 -1/22 2/11

Therefore, A-1 is:

-2/11 5/22 1/11

5/22 -2/11 -5/22

1/11 -1/22 2/11

To find B-1 using the method of cofactors, we first find the matrix of cofactors:

-69 -77 80

-3 35 -28

46 14 -40

Taking the transpose of this matrix gives the adjugate matrix:

-69 -3 46

-77 35 14

80 -28 -40

Dividing the adjugate matrix by the determinant of B (139) gives:

-69/139 -3/139 46/139

-77/139 35/139 14/139

80/139 -28/139 -40/139

Therefore, B-1 is:

-69/139 -3/139 46/139

-77/139 35/139 14/139

80/139 -28/139 -40/139

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To evaluate the surface integral, we first need to find a parameterization of the surface S. The surface integral ∫∫S (x - y)dS, where S is the portion of the plane x + y + z = 1 that lies in the first octant, evaluates to 1/2.

To evaluate the surface integral, we first need to find a parameterization of the surface S. The plane x + y + z = 1 can be parameterized as x = u, y = v, z = 1 - u - v, where 0 ≤ u ≤ 1 and 0 ≤ v ≤ 1 - u. The partial derivatives of x and y with respect to u and v are both 1, while the partial derivative of z with respect to u is -1 and the partial derivative of z with respect to v is -1.

Using this parameterization, we can write the surface integral as            ∫∫D (x(u,v) - y(u,v))√(1 + z_u^2 + z_v^2)dudv,

where D is the region in the uv-plane corresponding to the first octant. Simplifying this expression, we get ∫∫D (u - v)√3dudv. Integrating this expression over the region D, we get 1/2, which is the final answer.

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Answer:

11. [B] 90

12. [D] 152

13. [B] 16

14. [A]  200

15. [C] 78

Step-by-step explanation:

 Given table:

                                                      Traveled on Plan  

                                                          Yes            No                     Total

Age                          Teenagers         A                62                      B

Group                          Adult               184            C                         D

                                    Total                274           E                        352

Let's start with the first column.

Teenagers(A) + Adult (184) = Total 274.

Since, A + 184 = 274. Thus, 274 - 184 = 90

Hence, A = 90

274 + E = 352

352 - 274 = 78

Hence, E = 78

Since E = 78, Then 62 + C = 78(E)

78 - 62 = 16

Thus, C = 16

Since, C = 16, Then 184 + 16(C) = D

184 + 16 = 200

Thus, D = 200

Since, D = 200, Then B + 200(D) = 352

b + 200 = 352

352 - 200 = 152

Thus, B = 152

As a result, our final table looks like this:

                                                      Traveled on Plan  

                                                          Yes            No                     Total

Age                          Teenagers         90               62                      152

Group                          Adult               184              16                      200

                                    Total                274           78                        352

And if you add each row or column it should equal the total.

Column:

90 + 62 = 152

184 + 16 = 200

274 + 78 = 352

Row:

90 + 184 = 274

62 + 16 = 78

152 + 200 = 352

RevyBreeze

Answer:

11. b

12. d

13. b

14. a

15. c

Step-by-step explanation:

11. To get A subtract 184 from 274

274-184=90.

12. To get B add A and 62. note that A is 90.

62+90=152.

13. To get C you will have to get D first an that will be 352-B i.e 352-152=200. since D is 200 C will be D-184 i.e 200-184=16

14. D is 200 as gotten in no 13

15. E will be 62+C i.e 62+16=78

The orthogonal projection of p(x) onto the line L spanned by q(x) is (4/7)(2x^2 - 2x + 1).

The orthogonal projection of p(x) onto L can be found using the formula:

projL(p) = <p, u> / <u, u> * u

where u is the unit vector in the direction of q(x). To find u, we need to normalize q(x) by dividing it by its magnitude:

||q|| = sqrt(<q, q>) = sqrt(6)

u = q / ||q|| = (2x^2 - 2x + 1) / sqrt(6)

Now we can plug in the values of p(x) and q(x) to evaluate the inner products:

<p, u> = 3(-1)(1/√6) + 3(0)(0) + 3(2)(1/√6) = 2√6

<u, u> = (1/√6)(4) + (-2/√6)(-2) + (1/√6)(1) = 7/√6

Finally, we can substitute these values into the projection formula to find projL(p):

projL(p) = (2√6 / (7/√6)) * (2x^2 - 2x + 1) / √6

Simplifying this expression gives:

projL(p) = (4/7)(2x^2 - 2x + 1)

So the orthogonal projection of p(x) onto the line L spanned by q(x) is (4/7)(2x^2 - 2x + 1).

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The mean absolute deviation (MAD) for the given set of data is 4.83 contacts.

The mean absolute deviation (MAD) for this set of data is 4.83 contacts. MAD is a measure of how much the data values deviate from the mean on average. It provides information about the variability or dispersion of the data set. In this case, the mean of the data set is calculated by summing up all the values and dividing by the number of values. The absolute deviation for each value is obtained by subtracting the mean from each individual value and taking the absolute value to eliminate any negative signs. These absolute deviations are then averaged to find the MAD.

MAD is a measure of how spread out the data values are from the mean. To calculate the MAD, we first find the mean of the data set, which is the sum of all the values divided by the number of values (68 + 72 + 77 + 64 + 69 + 76) / 6 = 426 / 6 = 71. Next, we find the absolute deviation for each value by subtracting the mean from each individual value and taking the absolute value. The absolute deviations for each value are: 68 - 71 = 3, 72 - 71 = 1, 77 - 71 = 6, 64 - 71 = 7, 69 - 71 = 2, and 76 - 71 = 5. Then, we calculate the mean of these absolute deviations, which is (3 + 1 + 6 + 7 + 2 + 5) / 6 = 24 / 6 = 4. Finally, the MAD is 4.83, rounded to two decimal places.

In simpler terms, the MAD of 4.83 means that, on average, each person's number of contacts deviates from the mean by approximately 4.83 contacts. This indicates that the number of contacts stored in the cell phones of these six individuals is relatively close together, with relatively small variations from the mean value.

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