Julia had a bag filled with gumballs. There were 3 lemon-lime, 2 watermelon, and 1 grape gumballs. What is the correct sample space for the gumballs in her bag?

Sample space = lemon-lime, watermelon, grape
Sample space = lemon-lime, lemon-lime, lemon-lime, watermelon, watermelon, grape
Sample space = 1, 2, 3
Sample space = 1, 2, 3, 4, 5, 6

The surface area of the entire prism is 294 ft².

The surface area of the entire prism can be found by summing the areas of the triangular and rectangular faces of the prism.

Since we have two triangular faces and  3 rectangular faces. Thus,

surface area of the entire prism = 2*( 1/2bh) + 3*(L*W)

where b = 6, h = 4, L = 18 and W = 5

surface area of the entire prism = 2*( 1/2 * 6*4) + 3*(18*5)

surface area of the entire prism = 24  + 270

surface area of the entire prism = 294 ft²

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To determine the coordinates of point P with respect to the initial frame, we first need to find the transformation matrix from frame B to frame A, and then from frame A to the initial frame.

First, let's find the transformation matrix from frame B to frame A. We know that frame A is rotated 90° about x, so its transformation matrix is:

[A] = [1 0 0; 0 0 -1; 0 1 0]

To find the transformation matrix from frame B to frame A, we need to first undo the translation by subtracting the vector (6,-2,10) from point P:

P' = P - (6,-2,10) = (-11,4,-22)

Next, we need to apply the inverse transformation matrix of frame A to P'. The inverse of [A] is its transpose, so:

P'' = [A]T * P' = [1 0 0; 0 0 1; 0 -1 0] * (-11,4,-22) = (-11,-22,-4)

Finally, we need to find the transformation matrix from frame A to the initial frame. Since the initial frame is fixed and not rotated or translated, its transformation matrix is just the identity matrix:

[I] = [1 0 0; 0 1 0; 0 0 1]

So, the coordinates of point P with respect to the initial frame are:

P''' = [I] * P'' = (1*-11, 0*-22, 0*-4) = (-11,0,0)

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Probit coefficients are typically estimated using:

A. the method of maximum likelihood.

The method of maximum likelihood is used to estimate the probit coefficients. This method aims to find the coefficients that maximize the likelihood of observing the given sample data. It involves an iterative process to identify the most likely parameter values for the model, making it suitable for nonlinear models like the probit model. Maximum likelihood estimation is a widely used method in econometric analysis due to its desirable properties, such as consistency and asymptotic efficiency.

In summary, probit coefficients are estimated using the method of maximum likelihood, which provides the most accurate and efficient estimates for this type of model.

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The given equation is a constant function with a horizontal line passing through (0, 1). Here option E is the correct answer.

The given equation, f(x) = 1, represents a constant function, where the output or value of the function is always equal to 1 for any input value of x. This is a special case of a linear function, where the slope is zero and the y-intercept is a non-zero constant value.

Among the four given options, none of them is a constant function. A reciprocal function, y = 1/x, has a variable slope and a vertical asymptote at x = 0. A square root function, y = √x, has a non-linear shape and a domain of x ≥ 0. An absolute value function, y = |x|, has a V-shaped graph and is symmetric around the y-axis. A cube root function, y = ∛x, is also non-linear and has a domain of all real numbers.

Therefore, the correct answer is not listed among the options, and the function f(x) = 1 does not belong to any of the parent functions mentioned. It is a simple constant function with a horizontal line as its graph, passing through the point (0, 1) on the y-axis.

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Complete question:

Which type of parent function does the equation f(x) = 1 represent?

A. Reciprocal

B. Square root

C. Absolute value

D. Cube root

E. None of these

The probability P(56< X ≤ 6) is 0.0398. ​To draw a normal curve with the area corresponding to the probability shaded we would shade the area to the right of 56 and to the left of 6 on the curve.

To compute the probability P(56< X ≤ 6), we first need to standardize the values using the formula:
z = (x - μ) / σ
where x is the value we want to find the probability for, μ is the mean, and σ is the standard deviation.

For 56:
z = (56 - 45) / 10 = 1.1

For 6:
z = (6 - 45) / 10 = -3.9

Now, we can look up the probabilities for these values of z in a standard normal distribution table or use a calculator to find the area under the curve between these two values:
P(56< X ≤ 6) = P(1.1 < Z ≤ -3.9)

Using a standard normal distribution table or a calculator, we find that:
P(56< X ≤ 6) = 0.0398 (rounded to four decimal places)

To draw the normal curve with the shaded area corresponding to this probability, we can use a graphing calculator or a standard normal distribution table. The area between 56 and 6 corresponds to the area to the right of 56 minus the area to the right of 6. So, we would shade the area to the right of 56 and to the left of 6 on the curve, which would look like this:
[insert normal curve with shaded area between 56 and 6]

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The possible values of the coefficient (a) and an exponent (b) are CThe missing coefficient (a) can be any multiple of 3. The missing exponent (b) must be 5.

The two monomials are given as

ax³ 6xᵇ

Such that we have the LCM to be

LCM = 18x⁵

Since the coefficient of the LCM is 18, then the following is possible

a * 6 = multiples of 18

Divide both sides by 6

a = multiples of 3

Next, we have

LCM of x³ * xᵇ = x⁵

So, we have

b = 5 (bigger exponent)

Hence, the true statement is (c)

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If abcde is a regular pentagon, the smallest rotation about e which maps a to d is 144 degrees.

Using the fact that a regular pentagon has rotational symmetry of order 5. This means that if we rotate the pentagon by 72 degrees around its center, it will appear the same as it did before the rotation.

To map a to d, we need to rotate the pentagon by some angle around point e. Since e is the center of rotation, we need to find an angle that is a multiple of 72 degrees.

To determine the smallest angle of rotation, we need to find the number of 72 degree rotations that take us from a to d.

Starting from a, we can count the number of 72 degree rotations we need to make to reach d. We see that we need to make two 72 degree rotations in a counterclockwise direction.

Therefore, smallest rotation about e that maps a to d is a 144 degree counterclockwise rotation.

We can visualize this by drawing a regular pentagon and marking the point a and d on it. Then, we draw a line segment from a to d and a line segment from e to the midpoint of segment ad.

The angle between these two line segments is 144 degrees.

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The distance from y to W is sqrt(10), which is the exact answer using radicals.

Let's start by finding the projection of y onto the subspace W spanned by v1 and v2. The projection of y onto W is given by:

projW(y) = ((y · v1)/||v1||^2)v1 + ((y · v2)/||v2||^2)v2

where · denotes the dot product and || || denotes the norm or length of a vector.

Using the given information, we have:

v1 = [1 0 1 0], v2 = [0 1 0 1], and y = [2 4 0 0]

We can calculate the dot products and norms as follows:

||v1||^2 = 1^2 + 0^2 + 1^2 + 0^2 = 2

||v2||^2 = 0^2 + 1^2 + 0^2 + 1^2 = 2

y · v1 = 2(1) + 4(0) + 0(1) + 0(0) = 2

y · v2 = 2(0) + 4(1) + 0(0) + 0(1) = 4

Therefore, the projection of y onto W is:

projW(y) = ((2/2)[1 0 1 0]) + ((4/2)[0 1 0 1])

= [1 0 1 0] + [0 2 0 2]

= [1 2 1 2]

The closest point to y in W is the projection projW(y), so we have:

v = [1 2 1 2]

The distance from y to W is the length of the vector y - v, which we can calculate as:

||y - v|| = ||[2 4 0 0] - [1 2 1 2]||

= ||[1 2 -1 -2]||

= sqrt(1^2 + 2^2 + (-1)^2 + (-2)^2)

= sqrt(10)

Therefore, the distance from y to W is sqrt(10), which is the exact answer using radicals.

Complete question: Let [tex]$y=\left[\begin{array}{r}13 \\ -1 \\ 1 \\ 2\end{array}\right], y_1=\left[\begin{array}{r}1 \\ 1 \\ -1 \\ -2\end{array}\right]$[/tex], and [tex]$v_2=\left[\begin{array}{l}5 \\ 1 \\ 0 \\ 3\end{array}\right]$[/tex] . Find the distance from y to the subspace W of [tex]$\mathrm{R}^4$[/tex] spanned by [tex]$v_1$[/tex] and [tex]$v_2$[/tex], given that the closest point to [tex]$y$[/tex] in [tex]$W$[/tex] is [tex]$\hat{y}=\left[\begin{array}{r}11 \\ 3 \\ -1 \\ 4\end{array}\right]$[/tex].

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The statement that describe the situation are;

E. While on the first roller coaster, the height switches from positive to negative approximately every 40 seconds,

D.While on the second roller coaster, the height switches every 80 seconds.

Since Function is a type of relation, or rule, that maps one input to specific single output. It is Linear function which is a function whose graph is a straight line

While on the first roller coaster, we can see that the function modeling Michael's height switches from positive to negative approximately every 40 seconds, meaning he changes from being at a height above the platform to below the platform approximately every 40 seconds.

While on the second roller coaster, we can see that this change occurs every 80 seconds.

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There will be approximately 4621 fish in the lake after 7 months

To solve this problem, we can use the formula for exponential growth:

[tex]N = N0 * (1 + r)^t[/tex]

where N is the final population size, N0 is the initial population size, r is the monthly growth rate (in decimal form), and t is the number of m

onths.

In this case, the monthly growth rate is 6% or 0.06, and the monthly loss rate is 500 fish. So the net monthly growth rate is:

[tex]r_{net}[/tex] = 0.06 - 500/N0

Plugging in the given values, we have:

[tex]r_{net}[/tex]= 0.06 - 500/3500

= 0.0457

Now we can use the formula above to find the population size after 7 months:

[tex]N = 3500 * (1 + 0.0457)^7[/tex]

= 4621.42

So the final population size after 7 months, rounded to the nearest whole number, is:

N ≈ 4621

Therefore, there will be approximately 4621 fish in the lake after 7 months, taking into account both the monthly growth rate and the monthly loss rate.

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The surface area of the tissue box is 240 cm².

Option B is the correct answer.

We have,

The tissue box can be considered a triangular prism.

The formula for the surface area of the tissue box can be made as:

The perimeter of the triangular base x height of the box.

Now,

Perimeter

= 8 + 6 + 10

= 24 cm

And,

The surface area of the tissue box.

= 24 x 10

= 240 cm²

Thus,

The surface area of the tissue box is240 cm².

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To orthogonally diagonalize the matrix A, we will follow these steps:
1. Find the eigenvalues of matrix A.
2. Find the eigenvectors corresponding to each eigenvalue.
3. Normalize the eigenvectors to form an orthogonal basis.
4. Construct the orthogonal matrix Q and the diagonal matrix D.

To orthogonally diagonalize the matrix A, we need to find the eigenvalues and eigenvectors of A.

A = [[3, -1], [-1, 3]]

The characteristic polynomial of A is:

det(A - λI) = det([[3-λ, -1], [-1, 3-λ]]) = (3-λ)² - 1 = λ² - 6λ + 8 = (λ-2)(λ-4)

So the eigenvalues are λ₁ = 2 and λ₂ = 4.

To find the eigenvectors, we need to solve the system of equations:

(A - λ₁I)x = 0 and (A - λ₂I)x = 0

For λ₁ = 2, we have:

(A - 2I)x = [[1, -1], [-1, 1]]x = 0

This system has two linearly independent solutions:

v₁ = [1, 1] and v₂ = [-1, 1]

For λ₂ = 4, we have:

(A - 4I)x = [[-1, -1], [-1, -1]]x = 0

This system has one linearly independent solution:

v₃ = [1, -1]

To orthogonalize the eigenvectors, we need to normalize them and put them as columns of an orthogonal matrix Q.

Q = [[1/√2, -1/√2, 0], [1/√2, 1/√2, 0], [0, 0, 1]]

The diagonal matrix D has the eigenvalues on the diagonal:

D = [[2, 0], [0, 4]]

Finally, we can check that QTAQ = D:

QTAQ = [[1/√2, -1/√2, 0], [1/√2, 1/√2, 0], [0, 0, 1]]T[[3, -1], [-1, 3]][[1/√2, -1/√2, 0], [1/√2, 1/√2, 0], [0, 0, 1]] = [[2, 0, 0], [0, 4, 0], [0, 0, 4]] = D

Therefore, matrix A is orthogonally diagonalized by Q and D.

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Answer:

1,560 miles / (3 days × 8 hours/day) =

1,560 miles / 24 hours = 65 miles per hour

The Area of Trapezium is 50, 267 mm².

We have,

base 1 = 224 mm

base 2 = 77 mm

Height = 334 mm

Now, Area of Trapezium

= 1/2 (Sum of parallel side) x height

= 1/2 (224 + 77) x 334

= 1/2 x 301 x 334

= 50, 267 mm²

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The confidence interval is in the range of 40.8% ± E.

The confidence interval for a proportion is typically expressed as:
ˆp ± z*SE
where ˆp is the sample proportion, z* is the critical value from the standard normal distribution for the desired level of confidence (e.g. 1.96 for 95% confidence), and SE is the standard error of the proportion.

Using this formula, if the sample proportion is 40.8% and we want a 95% confidence interval, we would have:
40.8% ± 1.96*√[(40.8%*(1-40.8%))/n]

where n is the sample size.

Without knowing the sample size, we cannot calculate the exact confidence interval. However, we can express the interval as:
(40.8% ± E)%
where E is the margin of error, which is equal to 1.96*√[(40.8%*(1-40.8%))/n]. This means that we are 95% confident that the true proportion falls within the range of 40.8% ± E.

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The relation R defined as R = {(x,x) : 1 € Z} on Z, where Z is the set of integers, is a relation where an element in Z is related to itself if and only if it is equal to 1.

To determine whether the relation R is reflexive, symmetric, and transitive, we need to consider the properties of relations.

A relation is reflexive if every element in the set is related to itself. In this case, since R contains only pairs of the form (x,x), we can say that R is reflexive if and only if 1 € Z. That is, if and only if 1 is an integer, then R is reflexive. Since 1 is an integer, R is reflexive.

A relation is symmetric if for any two elements (a, b) in the relation, (b, a) is also in the relation. Since R only contains pairs of the form (x,x), it is symmetric if and only if for any integer x, (x,x) is in the relation, then (x,x) is also in the relation. Therefore, R is symmetric.

A relation is transitive if for any three elements (a, b), (b, c) in the relation, (a, c) is also in the relation. In this case, since R only contains pairs of the form (x,x), we can say that R is transitive if and only if for any integers x, y, z such that (x, y) and (y, z) are in R, then (x, z) is also in R. However, since there are no pairs (x, y) and (y, z) in R except for when x=y=z=1, there are no pairs (x, z) in R for which transitivity needs to be checked. Therefore, we can say that R is transitive vacuously.

In conclusion, the relation R defined as R = {(x,x) : 1 € Z} on Z is reflexive, symmetric, and transitive.

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The first derivative of at x with respect to x is simply the transpose of the matrix a.The first derivative of xt ax with respect to x is 2ax, since taking the derivative of the product of two vectors involves multiplying one of the vectors by the derivative of the other vector, and in this case the derivative of x is the identity matrix (since x is a vector and not a matrix).The second derivative of xt ax with respect to x is simply the matrix 2a, since the second derivative involves taking the derivative of the first derivative.1. Given the vector x and the symmetric matrix A.
2. We need to find the first and second derivatives of the following expressions:
  i. A * x
  ii. x^T * A * x

The question involves vectors, symmetric matrices, and derivatives. Let's break it down step-by-step.

i. First derivative of A * x with respect to x:
To find the derivative of A * x with respect to x, we treat A as a constant matrix. The first derivative is simply the matrix A itself.

Answer: The first derivative of A * x with respect to x is A.

ii. First derivative of x^T * A * x with respect to x:
To find the first derivative of this expression, we'll use the following formula for the derivative of a quadratic form:

d/dx (x^T * A * x) = (A + A^T) * x

Since A is a symmetric matrix, A = A^T. Therefore, the formula becomes:

d/dx (x^T * A * x) = 2 * A * x

Answer: The first derivative of x^T * A * x with respect to x is 2 * A * x.

iii. Second derivative of x^T * A * x with respect to x:
The second derivative of x^T * A * x with respect to x is the derivative of the first derivative (2 * A * x) with respect to x. Since A is a constant matrix, the second derivative is zero.

Answer: The second derivative of x^T * A * x with respect to x is 0.

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There are 181,440 ways to arrange the letters in "competition" with the constraint that "ie" must appear together. This can be answered by the concept of Permutation.

To arrange the letters in the word "competition" with the constraint that "ie" must appear together, first consider "ie" as a single unit.

There are now 10 distinct elements to arrange: C, O, M, P, T, T, I, O, N, and the combined "ie". There are 9! (9 factorial) ways to arrange these elements. However, we need to account for the repetition of the letters O and T, which appear twice each.

To correct for this, divide the total arrangements by the repetitions:

9! / (2! × 2!) = 181,440 ways

So, there are 181,440 ways to arrange the letters in "competition" with the constraint that "ie" must appear together.

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(a) There are 8 elements in the power set P(A). (b)There are 9 elements in A X A. (c) There are 512 distinct relations on A.

(a) To find the number of elements in the power set P(A) for a set A with 3 elements, you can use the formula 2^n, where n is the number of elements in A. In this case, n = 3, so the power set P(A) has 2^3 = 8 elements.

(b) To find the number of elements in A X A (the Cartesian product), you simply multiply the number of elements in A by itself. Since A has 3 elements, there are 3 x 3 = 9 elements in A X A.

(c) To find the number of distinct relations on A, you need to calculate the number of subsets of A X A. The number of elements in A X A is 9, so the number of distinct relations on A is equal to the number of elements in the power set of A X A. Using the formula 2^n again, there are 2^9 = 512 distinct relations on A.

In summary:
(a) The power set P(A) has 8 elements.
(b) A X A has 9 elements.
(c) There are 512 distinct relations on A.

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The probability that the sum is 7 given that neither die showed a 6 is 4/25 or 0.16.

To find the probability that the sum is 7 given that neither die showed a 6, we need to consider the possible outcomes of rolling two dice without any 6s, and then identify the outcomes where the sum is 7.

Determine the total number of possible outcomes without rolling a 6.
Since there are 5 possible outcomes for each die (1, 2, 3, 4, and 5), there are 5 x 5 = 25 possible outcomes for rolling two dice without any 6s.

Identify the outcomes where the sum is 7.
The possible outcomes that result in a sum of 7 are: (1, 6), (2, 5), (3, 4), (4, 3), (5, 2), and (6, 1). However, since neither die can show a 6, we can only consider the following four outcomes: (1, 6), (2, 5), (3, 4), and (4, 3).

Calculate the probability.
The probability that the sum is 7 given that neither die showed a 6 is the number of favorable outcomes divided by the total number of possible outcomes:
P(sum is 7 | no 6s) = (number of outcomes with sum 7) / (total number of outcomes without 6s) = 4 / 25

So, the probability that the sum is 7 given that neither die showed a 6 is 4/25 or 0.16.

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a. The null hypothesis is H0: p1 = p2, meaning that there is no difference in the proportion of B2B and B2C marketers who commonly use the business social media tool. The alternative hypothesis is Ha: p1 ≠ p2, indicating that there is a difference in the proportion of B2B and B2C marketers who commonly use the business social media tool.

To determine the test statistic, we can use the formula:

[tex]Z = (\frac{p1-p2}{\sqrt{p(1-p)} } (\frac{1}{n1} +\frac{1}{n2})[/tex]

where p is the pooled sample proportion, n1 and n2 are the sample sizes for B2B and B2C marketers, respectively.

Plugging in the values, we get:

[tex]p = \frac{(x1 + x2)}{(n1 + n2)} = \frac{525+244}{584+417} = 0.677[/tex]

[tex]Z= \frac{ (0.9 - 0.59)}{\sqrt{0.677(1-0.677)(\frac{1}{584}+\frac{1}{417}) } } } = 12.72[/tex]

The rejection region for a two-tailed test with alpha = 0.05 is ±1.96. Since our test statistic (12.72) is outside this range, we reject the null hypothesis and conclude that there is strong evidence of a difference in the proportion of B2B and B2C marketers who commonly use the business social media tool.

b. The p-value is the probability of observing a test statistic as extreme as the one calculated or more extreme, assuming the null hypothesis is true. We can find it using a Z-table or a calculator. Here, the p-value is essentially zero, indicating very strong evidence against the null hypothesis.

Interpreting the p-value, we can say that if the true proportion of B2B marketers who commonly use the business social media tool were equal to that of B2C marketers, the probability of observing a difference as extreme as the one in our sample or more extreme would be very small. Therefore, we can reject the null hypothesis and conclude that the proportion of B2B marketers who commonly use the business social media tool is significantly different from that of B2C marketers.

c. The null hypothesis is H0: p1 = p2, meaning that there is no difference in the proportion of B2B and B2C marketers who commonly use the video social media tool. The alternative hypothesis is Ha: p1 ≠ p2, indicating that there is a difference in the proportion of B2B and B2C marketers who commonly use the video social media tool.

To determine the test statistic, we can use the same formula as in part (a), but with the sample proportions and sizes for the video social media tool:

[tex]p = \frac{(x1 + x2)}{(n1 + n2)} = \frac{309+241}{584+417} = 0.444[/tex]

[tex]Z= \frac{ (0.53 - 0.58)}{\sqrt{0.444(1-0.444)(\frac{1}{584}+\frac{1}{417}) } } } = -1.33[/tex]

The p-value for a two-tailed test with alpha = 0.05 is approximately 0.18. Since this is greater than the significance level, we fail to reject the null hypothesis and conclude that there is not enough evidence to support a difference in the proportion of B2B and B2C marketers who commonly use the video social media tool.

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If the price level in Canada falls and the price level in the United States does not change, Canadian-manufactured sofas are relatively less expensive, so Sherri will likely purchase a Canadian manufactured sofa.

This is because the decrease in price level in Canada would make Canadian goods more affordable, including Canadian manufactured sofas. This makes them a more attractive option for Sherri than U.S. manufactured sofas which would still be relatively more expensive even if their price level did not change. Answer D is correct in this scenario. However, if U.S. manufactured sofas were initially more expensive than Canadian sofas, then answer B could also be correct. Overall, Sherri's decision would depend on the initial price difference between Canadian and U.S. manufactured sofas, as well as her personal preferences and any other relevant factors.

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a. This is a combination because the order in which the students are chosen does not matter, only the group of four students is selected.
b. There are 4845 different ways that 4 students can be chosen from a group of 20.

a. This is a combination because the order of the chosen students does not matter. In a permutation, the order matters, whereas in a combination, it does not.

b. To find the number of different ways 4 students can be chosen from a group of 20, use the combination formula:

C(n, k) = n! / (k!(n-k)!)

Where n = the total number of students (20), k = the number of students to be chosen (4), and ! denotes factorial.
The number of different ways 4 students can be chosen from a group of 20 can be calculated using the combination formula:

nCr = n! / r!(n-r)!

Where n is the total number of students (20) and r is the number of students being chosen (4).

So,

20C4 = 20! / 4!(20-4)!
C(20, 4) = 20! / (4!(20-4)!)
C(20, 4) = 20! / (4! * 16!)
C(20, 4) = 2,432,902,008,176,640,000 / (24 * 20,922,789,888,000)
C(20, 4) = 4845

There are 4,845 different ways to choose 4 students from a group of 20.

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a) To calculate the missing values, we first need to find the 2018 turnover value. That is, 290.62 M Ft.

b) Average Relative Change =  5.18% and Average Absolute Change = 13.54 M Ft.

c) The ratios for 2016 indicate that the firm experienced a 4% increase in turnover compared to the previous year (2015).

a) To calculate the missing values, we first need to find the 2018 turnover value. We know that the 2015 turnover is 100% of the previous year, so 2015 and 2014 turnover values are the same (250 M Ft). Now we can use the ratios given for the subsequent years:

2016 Turnover = 2015 Turnover * (100% + Ratio)
260 M Ft = 250 M Ft * (100% + Ratio)
Ratio = (260 / 250) - 1 = 0.04 or 4%

2017 Turnover = 2016 Turnover * (100% + Ratio)
275 M Ft = 260 M Ft * (100% + Ratio)
Ratio = (275 / 260) - 1 ≈ 0.0577 or 5.77%

2018 Turnover = 2017 Turnover * (100% + Ratio)
2018 Turnover = 275 M Ft * (100% + 0.0577) ≈ 290.62 M Ft

b) Now, we can calculate the average relative and absolute change:
Average Relative Change = (4% + 5.77% + 5.77%)/3 ≈ 5.18%

Absolute Change (2016) = 260 - 250 = 10 M Ft
Absolute Change (2017) = 275 - 260 = 15 M Ft
Absolute Change (2018) = 290.62 - 275 ≈ 15.62 M Ft
Average Absolute Change = (10 + 15 + 15.62) / 3 ≈ 13.54 M Ft

c) The ratios for 2016 indicate that the firm experienced a 4% increase in turnover compared to the previous year (2015). This means the firm was successful in generating more revenue in 2016 as compared to 2015, which could be attributed to various factors such as improved marketing strategies, expansion in the market, or better product offerings.

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The answer is not provided in the options given. The closest option is 0.172, but the correct answer is 0.155 (rounded to three decimal places).

To calculate the standard deviation of X, we first need to find the mean or expected value of X. We can do this by integrating the given pdf over the range 0.90 to 1.80:

E(X) = ∫[0.90,1.80] x*f(x) dx

= ∫[0.90,1.80] x*(265/652)*x^3 dx

= (265/652) * ∫[0.90,1.80] x^4 dx

= (265/652) * [x^5/5] from x=0.90 to x=1.80

≈ 1.315

Next, we can calculate the variance of X using the formula:

Var(X) = E(X^2) - [E(X)]^2

To find E(X^2), we integrate the pdf squared over the same range:

E(X^2) = ∫[0.90,1.80] x^2*f(x) dx

= ∫[0.90,1.80] x^2*(265/652)*x^3 dx

= (265/652) * ∫[0.90,1.80] x^5 dx

= (265/652) * [x^6/6] from x=0.90 to x=1.80

≈ 1.464

Var(X) = E(X^2) - [E(X)]^2

≈ 1.464 - 1.315^2

≈ 0.024

Finally, we take the square root of the variance to obtain the standard deviation:

sigma = sqrt(Var(X))

≈ sqrt(0.024)

≈ 0.155

Therefore, the answer is not provided in the options given. The closest option is 0.172, but the correct answer is 0.155 (rounded to three decimal places).

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The area of the triangles are: (a) 8.4 square units. (b) 526.1 square units. (c) 96.7 square units.

(a) Area = (1/2)ab*sin(y)

where y is the angle opposite to side c.

using the law of sines:

b/sin(B) = a/sin(a)

b/sin(16°) = 6/sin(16°)

b = 6*sin(16°)/sin(16°) = 6 units

Now, the sum of the angles in a triangle is 180°:

y = 180° - a - B

y = 180° - 16° - 16°

y = 148°

Finally,

Area = (1/2)66*sin(148°)

Area ≈ 8.4 square units

Therefore, the area of the triangle is approximately 8.4 square units.

(b) using the law of sines:

b/sin(B) = c/sin(y)

b/sin(180°-a-B) = 27.55/sin(56°)

b/sin(76°) = 27.55/sin(56°)

b ≈ 21.94 units

Now,

Area = (1/2)48sin(56°)*21.94/sin(76°)

Area ≈ 526.1 square units (rounded to the nearest tenth)

Therefore, the area of the triangle is approximately 526.1 square units.

(c) using the law of cosines:

b^2 = a^2 + c^2 - 2accos(B)

12.5^2 = 14^2 + c^2 - 214ccos(53°)

c ≈ 13.3 units

Now, the sum of the angles in a triangle is 180°:

y = 180° - a - B

y = 180° - 53° - arcsin(c*sin(53°)/14)

y ≈ 74.8°

Finally,

Area = (1/2)1413.3*sin(74.8°)

Area ≈ 96.7 square units

Therefore, the area of the triangle is approximately 96.7 square units.

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The missing angle outside the triangle is 137 degrees.

The missing angle in the triangle can be found as follows:

Vertically opposite angles are congruent.

Therefore,

180 - 45  -  60  = (sum of angles in a triangle)

180 - 105 = 75 degrees

Therefore,

180 - 75 - 68 = 37 degrees

Using the exterior angle theorem,

The exterior angle theorem states that the measure of an exterior angle is equal to the sum of the measures of the two remote interior angles of the triangle.

Hence,

let

x = missing angle

100 + 37 = x

x = 137 degrees

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Answer:

1. D

2.C

3. A

4. B

Step-by-step explanation:

times each of the numbers by however many r in the brackets

3×2=6

3×-1=-3

so the answer to 1 will be (6)

(-3)