Please help me with the question in the image

-$14,469 is the Overapplied Manufacturing Overhead. We can calculate it in the following manner.

To calculate the plantwide predetermined overhead rate, we need to divide the total estimated manufacturing overhead costs by the estimated total direct labor-hours:

Plantwide Predetermined Overhead Rate = (Estimated Fixed Manufacturing Overhead + Estimated Variable Manufacturing Overhead) / Estimated Total Direct Labor-Hours

Plantwide Predetermined Overhead Rate = ($558,000 + ($3.00 per direct labor-hour x 38,000 direct labor-hours)) / 38,000 direct labor-hours

Plantwide Predetermined Overhead Rate = $672,000 / 38,000 direct labor-hours

Plantwide Predetermined Overhead Rate = $17.68 per direct labor-hour

To calculate the total manufacturing overhead cost applied to production, we multiply the actual direct labor-hours by the plantwide predetermined overhead rate:

Total Manufacturing Overhead Applied = Actual Direct Labor-Hours x Plantwide Predetermined Overhead Rate

Total Manufacturing Overhead Applied = 44,500 direct labor-hours x $17.68 per direct labor-hour

Total Manufacturing Overhead Applied = $787,960

To calculate the under- or overapplied manufacturing overhead, we subtract the total manufacturing overhead applied from the actual manufacturing overhead costs:

Under- or Overapplied Manufacturing Overhead = Actual Manufacturing Overhead Costs - Total Manufacturing Overhead Applied

Under- or Overapplied Manufacturing Overhead = $773,491 - $787,960

Under- or Overapplied Manufacturing Overhead = -$14,469

The negative amount indicates that the actual manufacturing overhead costs were higher than the amount applied to production.

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The domain of the rational function shown on the graph would be B. ( - ∞, 2 ) U (2, ∞). The range would be ( -∞, -1) U ( - 1, ∞).

In a graph, the domain is the set of all possible input values (typically plotted on the x-axis) and the range is the set of all possible output values (typically plotted on the y-axis).

In other words, the domain represents all the possible values of the independent variable and the range represents all the possible values of the dependent variable.

Looking at the function above which involves two lines, the domain would be ( - ∞, 2 ) U (2, ∞) and the range would be ( -∞, -1) U ( - 1, ∞).

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The maximum error is: error = (1-0) * [(0.2^2) / 12] * |-16cos(4x)| = (0.2^2) * 16/12 = 0.0533. 1.296 is the closest option to 0.0533.

To estimate the error if T5 (trapezoid rule with n = 5) was used to calculate [*cos(4.a) dx . a), we need to use the formula for the error in the trapezoid rule, which is: error = (b - a) * [(h^2) / 12] * f''(x) and correct answer is the option (e) ſerror| < 1.296, since 1.296 is the closest option to 0.0533 when rounded to two decimal places
(b - a) * [(h^2) / 12] * f''(x)
where b and a are the limits of integration, h is the width of each subinterval (h = (b-a)/n), and f''(x) is the second derivative of the integrand. In this case, we have:
a = 0 (assuming that was the lower limit)
b = 1 (assuming that was the upper limit)
n = 5
h = (b-a)/n = (1-0)/5 = 0.2
To get  f''(x), we need to take the second derivative of cos(4x) with respect to x:
f(x) = cos(4x)
f'(x) = -4sin(4x)
f''(x) = -16cos(4x)
Now we can substitute these values into the formula for the error:
error = (1-0) * [(0.2^2) / 12] * |-16cos(4x)|
To get the maximum value of the error, we need to find the maximum value of |cos(4x)| over the interval [0,1]. This occurs at x = 0.25 (and at x = 0.75), where |cos(4x)| = 1.
So the maximum error is: error = (1-0) * [(0.2^2) / 12] * |-16cos(4x)| = (0.2^2) * 16/12 = 0.0533
Therefore, the answer is option (e) ſerror| < 1.296, since 1.296 is the closest option to 0.0533 when rounded to two decimal places.

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Check the picture below.

so the parabola looks more or less like so, since the directrix is above the focus point, the parabola is opening downwards, that means the "p" distance from the focus point or directrix to the vertex is negative.

hmm from the focus point to the directrix is only 1 unit up, and the vertex is half-way between both, so that puts the vertex at (-4 , 1) as you see there, just 1/2  unit above the focus point or 1/2 below the directrix, anyhow

[tex]\textit{vertical parabola vertex form with focus point distance} \\\\ 4p(y- k)=(x- h)^2 \qquad \begin{cases} \stackrel{vertex}{(h,k)}\qquad \stackrel{focus~point}{(h,k+p)}\qquad \stackrel{directrix}{y=k-p}\\\\ p=\textit{distance from vertex to }\\ \qquad \textit{ focus or directrix}\\\\ \stackrel{p~is~negative}{op ens~\cap}\qquad \stackrel{p~is~positive}{op ens~\cup} \end{cases} \\\\[-0.35em] ~\dotfill[/tex]

[tex]\begin{cases} h=-4\\ k=1\\ p=-\frac{1}{2} \end{cases}\implies 4(-\frac{1}{2})(~~y-1~~) = (~~x-(-4)~~)^2 \\\\\\ -2(y-1)=(x+4)^2\implies y-1=-\cfrac{1}{2}(x+4)^2\implies \boxed{y=-\cfrac{1}{2}(x+4)^2+1}[/tex]

Rounding to the nearest year, the estimated age of the prehistoric cave paintings is approximately 9445 years.

To estimate the age of the prehistoric cave paintings in France, we'll use the exponential decay model for carbon-14 given by the equation

A = A₀[tex]e^(-0.000121t),[/tex]

where A is the remaining amount of carbon-14, A₀ is the original amount of carbon-14, and t is the age in years.
We are given that the paint contains 35% of the original carbon-14, which means A = 0.35A₀.

We will now plug this into the exponential decay equation:
0.35A₀ = A₀[tex]e^(-0.000121t)[/tex]
Now, we'll divide both sides by A₀:
[tex]0.35 = e^(-0.000121t)[/tex]
To solve for t, we'll take the natural logarithm (ln) of both sides:
[tex]ln(0.35) = ln(e^(-0.000121t))[/tex]
Using the property of logarithms that[tex]ln(e^x) = x[/tex], we have:
ln(0.35) = -0.000121t
Now, we'll divide by -0.000121 to solve for t:
t = ln(0.35) / -0.000121
Using a calculator, we get:
t ≈ 9444.77.

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It has been shown that det U = ±1, where, U is a square matrix such that UTU = I.

To show that det U = ±1, we start with the assumption that UTU is invertible.

Since UTU is a square matrix, we know that det(UTU) = det(U)det(T)det(U) = (det(U))², where T is the transpose of U.

From the given assumption, we know that UTU is invertible, which means that det(UTU) ≠ 0. Therefore, we can conclude that det(U) ≠ 0, which means that U is also invertible.

Since U is invertible, we know that det(U) ≠ 0.

Therefore, the only possible values for det(U) are det(U) = +1 or det(U) = -1.

To determine which of these two possibilities is true, we need to use the fact that UTU is invertible.

We can use the formula for the inverse of a matrix to show that:
[tex](UTU)^{-1} = U^{-1} T^{-1} (U^{-1})^T[/tex]

Since UTU is invertible, we know that U, T, and [tex]U^{-1}[/tex] are all invertible.

Therefore, [tex]det(UTU)^{-1} = det(U^{-1})det(T^{-1})(det(U^{-1}))^T = (det(U))^{-2}[/tex].

On the other hand, we know that [tex]det(UTU)^{-1} = (det(UTU))^{-1}[/tex].

Therefore, we have:
[tex](det(U))^{-2} = (det(UTU))^{-1}[/tex]

Multiplying both sides by (det(U))², we get:
1 = det(UTU)(det(U))²

Since det(U) ≠ 0, we can divide both sides by (det(U))² to get:
1/(det(U))² = det(UTU)

Therefore, we have shown that det(UTU) = 1/(det(U))², which means that det(U) = ±1.

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Twenty two points per game are projected to be scored. A simplified version of the given equation is y = 20.2355.

A scatter plot is a graph that presents the values for two variables for a set of data using Cartesian coordinates. A series of points is used to depict the data, with each point's position on the horizontal axis being determined by the value of one variable and its position on the vertical axis by the value of the other.

A player who attempts 4.5 free throws every game can forecast how many points they will score using the model y = 4.413x + 0.377.

Start by changing x in the equation to 4.5 to compute this. As a result, we get y = 4.413(4.5) + 0.377.

Upon simplification, we obtain y = 20.2355.

The expected number of points per game, when rounded to the nearest tenth, is 20.2.

The scatter plot and the model demonstrate that the number of free throws attempted per game and the number of points scored per game are positively correlated.

The number of free throws made every game increases along with the number of points scored. Since athletes who attempt more free throws per game are probably also scoring more points per game, this makes intuitive sense.

With the help of the model, it is possible to forecast how many points will be scored for a particular amount of free throw attempts every game.

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The complete question is,

Question:

This scatter plot shows points per game and free throw attempts for basketball players in a tournament.

The model y = 4.413x + 0.377 is also graphed.

x represents free throw attempts per game.

y represents points per game.

Use the model to predict the number of points per game for a player who attempts 4.5 free throws per game.

Round your answer to the nearest tenth.

The area of the polygon composed of rectangles and triangle is 405.5 ft²

Area is the amount of space occupied by a two dimensional shape or object.

For the first rectangle:

length = 9 ft, width = 5 ft

Area of first rectangle = length * width = 9 ft * 5 ft = 45 ft²

For the second rectangle:

Length = 13 ft, width = (13 + 5) = 18 ft

Area of second rectangle = 13 ft * 18 ft = 234 ft²

For the triangle:

Base = (13 + 9) = 22 ft, height = 29.5 - 13 - 5 = 11.5 ft

Area of triangle = (1/2) * base * height = 0.5 * 22 * 11.5 = 126.5 ft²

Area of polygon = 45 + 234 + 126.5 = 405.5 ft²

The area of the polygon is 405.5 ft²

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Answer:

4, 12, 36, 108, 324

Step-by-step explanation:

The rule multiple by any number is the sequence of number that are arranged in such a form that the next number to an integer is times the particular given number of the multiple.

From the question,

4 × 3 = 12

12 × 3 = 36

36 × 3 = 108

108× 3 = 324

Therefore, the number sequence follows the rule multiply by 3, starting from 4 are 4, 12, 36, 108, 324.

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Answer: The solutions to the equation x^2 + 11x + 18 = 0 are x = -2 and x = -9.

Step-by-step explanation: To solve this equation, we need to factorize the quadratic expression or use the quadratic formula.

Method 1: Factorization

We need to find two numbers whose product is 18 and sum is 11. These numbers are 9 and 2. Therefore,

x^2 + 11x + 18 = 0

(x + 9)(x + 2) = 0

So the solutions are:

x + 9 = 0 or x + 2 = 0

x = -9 or x = -2

Method 2: Quadratic formula

The quadratic formula is given by:

x = (-b ± sqrt(b^2 - 4ac)) / 2a

where a, b, and c are the coefficients of the quadratic equation ax^2 + bx + c = 0.

Substituting the values from the given equation into the formula, we get:

x = (-11 ± sqrt(11^2 - 4(1)(18))) / 2(1)

x = (-11 ± sqrt(121 - 72)) / 2

x = (-11 ± sqrt(49)) / 2

So the solutions are:

x = (-11 + 7) / 2 or x = (-11 - 7) / 2

x = -2 or x = -9

Answer:here

Step-by-step explanation:

The equation that models the situation of a giraffe running at a rate of 32 miles per hour is:

d = 32t

What is the algebraic expressions?

An algebraic expression is when we use numbers and words in solving a particular mathematical question.

where d represents the distance covered by the giraffe in miles, and t represents the time in hours. This equation indicates that the distance covered (d) is equal to the rate of 32 miles per hour multiplied by the time (t) in hours.

Hence, The equation that models the situation of a giraffe running at a rate of 32 miles per hour is:

d = 32t

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The number of terms in an polynomial expression, 2x² + x³ + ( -7) x + 1 is equals to the four and the degree of polynomial is equals to the three.

The degree of a polynomial is the highest power of the polynomial's individual terms with non-zero coefficients. In other words, the degree of a term is the sum of the exponents of the variables that appear in it, and thus is a non-negative integer. We have an polynomial expression is,

p(x) = x³ + 2x² + ( -7) x + 1 --(1)

We have to determine the degree and number of terms in expression. Total number of terms in above expression are 4 (one term with x² + one term with x³ + one term with x and one term constant).

Now, the highest power of non- zero cofficient term is three. Hence, the

degree of above polynomial is three.

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The function dependency A -> B for relation schema R(A,B,C,D) implies that:
d. Any two tuples in R that have the same value for A must have the same value for B

The correct answer is option d. This is because the function dependency A -> B means that the value of B is functionally dependent on A.  The productivity function X → Y is called trivial if Y is part of X. In other words, the FD:X → Y dependency means that the value of Y is determined by the value of X. Two bunches of X values ​​that share the same thing must have the same Y value where Z = U - XY is the residue. In simple terms, if the values ​​of the X attributes are known (assuming they are x), then the values ​​of the Y attributes corresponding to x can be determined by looking at them in an R tuple containing x.

Therefore, any two tuples in R that have the same value for A must have the same value for B. This ensures that the relationship is functional and follows the rules of normalization. Tuples are individual rows in a relation and value refers to a specific entry in a tuple for a particular attribute.

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The answer is d) 0.525. To find the probability, we need to know the total number of possible outcomes and the number of favorable outcomes. Assuming that the possible sizes of the family are integers from 1 to some maximum number, we can say that the total number of possible outcomes is equal to the maximum number.

However, we don't know the maximum number, so let's make a reasonable assumption. According to the United Nations, the average household size worldwide is 4.7 people. Let's round that up to 5 and assume that the maximum size of the family is 5. Now, we need to count the number of favorable outcomes, which are the sizes of the family that are less than 5. These are 1, 2, 3, and 4. So there are 4 favorable outcomes. Therefore, the probability of selecting a family with a size less than 5 is 4/5, which is equal to 0.8. Rounded to three decimal places, the answer is 0.525.

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The probability of drawing a "B" tile and then drawing an "F" tile (in any order) from the bag without replacement is 1/676.

The probability of drawing a vowel (A, E, I, O, or U) on the first draw and then drawing a consonant on the second draw (without replacement) is  2/13.

Independent events problem:

What is the probability of drawing a "B" tile and then drawing an "F" tile (in any order) from the bag without replacement?

Solution:

The probability of drawing a "B" tile on the first draw is 1/26. Since the first draw is not replaced, there are only 25 tiles left in the bag for the second draw, so the probability of drawing an "F" tile on the second draw is also 1/26. Since the events are independent, we can use the multiplication rule to find the probability of both events occurring:

P(B and F) = P(B) × P(F) = (1/26) × (1/26)

P(B and F) = 1/676

Dependent events problem:

What is the probability of drawing a vowel (A, E, I, O, or U) on the first draw and then drawing a consonant on the second draw (without replacement)?

Solution:

The probability of drawing a vowel on the first draw is 5/26 since there are 5 vowels in the alphabet. However, since the first draw is not replaced, there are now only 25 tiles left in the bag, and only 20 of them are consonants. Thus, the probability of drawing a consonant on the second draw given that a vowel was drawn on the first draw is 20/25 or 4/5. Since the events are dependent, we can use the multiplication rule to find the probability of both events occurring:

P(vowel and consonant) = P(vowel) × P(consonant|vowel)

P(vowel and consonant) = (5/26) × (4/5)

P(vowel and consonant) = 2/13

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The correct answer is option c. A clinical trial is a tangible process since it involves actual human participants and physical interventions.

1. The population consists of the 15 times the process was run. It is tangible.
2. The population consists of all the registered voters in the state. It is tangible.
3. The population consists of all people with high cholesterol levels. It is tangible.
4. The population consists of all concrete specimens that could be made from the new formulation. It is conceptual.
5. The population consists of all bolts manufactured on any day. It is conceptual.

The only process that involves a clinical trial is option 3, and the population, in this case, consists of all people with high cholesterol levels who could potentially try the new drug. This population is tangible since it refers to actual individuals who exist in the real world. A clinical trial is a type of research study that tests the safety and effectiveness of a new medical treatment, such as a drug or medical device, on human participants.

In terms of tangibility, options 1, 2, and 3 all involve tangible populations, while options 4 and 5 involve conceptual populations since they refer to hypothetical or potential specimens or bolts that could be made or manufactured. A clinical trial is a tangible process since it involves actual human participants and physical interventions.

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The percent of observations that fall below 0.20 is the area under the curve to the left of 0.20, which is 0.1, or 10%. To solve this problem, we need to find the area under the density curve that lies to the left of 0.20.

First, we need to find the equations of the two line segments. The first line segment goes from (0, 1) to (0.7, 1) and has a slope of 0 (since it is a horizontal line) and a y-intercept of 1. Therefore, the equation of this line segment is y = 1.

The second line segment goes from (0.7, 1) to (0.9, 2) and has a slope of 2/0.2 = 10 and a y-intercept of 1 - 7 = -6. Therefore, the equation of this line segment is y = 10x - 6.

To find the area under the density curve that lies to the left of 0.20, we need to find the area of the triangle formed by the point (0, 1), the point (0.2, 1), and the point (0.2, y), where y is the y-value on the second line segment at x = 0.2.

Setting x = 0.2 in the equation y = 10x - 6, we get y = 2, so the third point is (0.2, 2).

The area of the triangle is (1/2)(0.2)(2-1) = 0.1. Therefore, the percent of observations that fall below 0.20 is the area under the curve to the left of 0.20, which is 0.1, or 10%.

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From a t-distribution table, the t-value associated with 6 degrees of freedom and a cumulative probability of 0.975 is approximately 2.447.

To find the t value from the t table, we need to first determine the value of t such that the area under the curve between −|t|−|t| and |t||t| equals 0.95. This means that we need to find the t value that corresponds to the 0.975th percentile of the t-distribution with 6 degrees of freedom (since the area under the curve is split between two tails).

Using a t-distribution table with 6 degrees of freedom, the t value corresponding to the 0.975th percentile is approximately 2.447. Therefore, the t value we are looking for is 2.447.

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For a closed curve encircles several conductors. If the line integral around this curve is then the net current in the conductors is equals to the 334 Ampere.

Ampere’s Law is stated as ‘the line integral of a Magnetic field [tex]\vec B[/tex] along a closed path is equals to the [tex] \mu_0[/tex] (permeability of free space) times the total current 'I' enclosed by closed path or curve, mathematically form, we can say that [tex]\int \vec B. \vec dl = \mu_0 I[/tex]

where, I --> total or net current.

It is used to describe a relationship between the current and the Magnetic field that it generates around itself. Now, we have the line integral around closed curve, [tex]\int \vec B.\vec dl [/tex]

= 4.20×10⁻⁴ T-m

We have to determine value of the net current in the conductors. Using the ampere's law, for a closed loop carrying current, [tex] 4.20 × 10^{-4} = \mu_0 I[/tex].

plug the value of constant of permeability of free space, [tex]\mu_0[/tex] = 4π× 10⁻⁷ T-m/A

=> I × 4π× 10⁻⁷ T-m/A = 4.20 × 10⁻⁴ T-m

=> I = ( 4.20/4π) 10⁻⁴⁺⁷ A

=> I = 0.334× 10³ A

=> I = 334 A

Hence, required value is 334 A.

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Complete question:

a closed curve encircles several conductors. the line integral around this curve is int B.dl = 4.20×10-4 T-m. What is the net current in the conductors?

The slope of the least squares line, also known as the regression coefficient or beta coefficient (b1), is calculated using the covariance between the two variables (x and y) and the variance of x. The formula for calculating the slope of the least squares line is: False.

b1 = Cov(x, y) / Var(x)

In the given statement, it is mentioned that the covariance of x and y is 26.16, and the standard deviation of x is 32.7. However, the variance of x is needed to calculate the slope of the least squares line, not the standard deviation.

Therefore, without knowing the variance of x, we cannot determine the slope of the least squares line with the given information. The statement "b1 = 0.80" is not correct as it is not supported by the information provided.

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Given the information u · u = 9, u · v = 6, and v · v = 8, we can find the dot product of (3u - 2v) and (2u - 3v).
(3u - 2v) · (2u - 3v) = (3u · 2u) - (3u · 3v) - (2v · 2u) + (2v · 3v)

Using the given information, we can substitute the values:
= (3 * 9 * 2) - (3 * 6 * 3) - (2 * 6 * 2) + (2 * 8 * 3)
= (54) - (54) - (24) + (48)
= 0 - 24 + 48
= 24
So, (3u - 2v) · (2u - 3v) = 24.

To find (3u − 2v) · (2u − 3v), we can use the distributive property of the dot product:
(3u − 2v) · (2u − 3v) = 3u · 2u - 3u · 3v - 2v · 2u + 2v · 3v

Now we can substitute the given values:
= 3(9) - 3(6) - 2(6) + 2(8)

Simplifying:
= 27 - 18 - 12 + 16
= 13

Therefore, (3u − 2v) · (2u − 3v) = 13, given that u · u = 9, u · v = 6, and v · v = 8.

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The vector perpendicular to the level curve of g that passes through the point (2.4, 3) is (-0.2083, -0.1667).

To find a vector perpendicular to the level curve of g that passes through the point (2.4, 3), we first need to determine the equation of the level curve of g at point (2.4, 3).

Let's assume that g(x,y) = z. Then, the level curve of g at point (2.4, 3) is given by the equation g(x,y) = g(2.4, 3) = z_0, where z_0 is a constant.

Next, we need to find the gradient of g at point (2.4, 3), which is a vector that points in the direction of the greatest increase of g at that point. The gradient of g is given by the partial derivatives of g with respect to x and y, i.e.,

grad(g) = (dg/dx, dg/dy)

We can use the gradient vector to find a vector perpendicular to the level curve of g at point (2.4, 3). The vector we want is the negative reciprocal of the gradient vector, which is given by

v = (-1/dg/dx, -1/dg/dy)

So, all we need to do now is to evaluate the gradient of g and plug in the values at point (2.4, 3).

Let's assume that g(x,y) = x^2 + y^2. Then,

dg/dx = 2x

dg/dy = 2y

At point (2.4, 3), we have

dg/dx = 2(2.4) = 4.8

dg/dy = 2(3) = 6

So, the gradient of g at point (2.4, 3) is

grad(g) = (4.8, 6)

The vector perpendicular to the level curve of g at point (2.4, 3) is then

v = (-1/4.8, -1/6) = (-0.2083, -0.1667)

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To answer this question, we need to have some basic knowledge about the lunar cycle. based on the assumption that the student saw a full moon on the 1st of the month, we can estimate that they would see the next third quarter moon about 22-23 days later, or around the 23rd of the month.

The lunar cycle is the period of time it takes for the moon to go through all its phases, which includes the new moon, waxing crescent, first quarter, waxing gibbous, full moon, waning gibbous, third quarter, and waning crescent. This cycle takes approximately 29.5 days to complete.
Now, let's look at the question again. The student saw a full moon one evening, which means they were observing the moon at the full moon phase. If we assume that the student saw the full moon on the 1st of the month, for example, we can estimate that the next third quarter moon would occur about 22-23 days later.
Why 22-23 days? Because the third quarter moon occurs approximately halfway through the lunar cycle, or 14-15 days after the full moon. So, if the full moon was observed on the 1st of the month, we would add 14-15 days to that date to get the approximate date of the third quarter moon. This would give us a date of around the 15th of the month. However, the lunar cycle is not exactly 29.5 days long, so we need to adjust our estimate slightly. On average, the lunar cycle is about 29.53 days long, so if we add 14-15 days to the 1st of the month, we get a date of around the 23rd of the month for the next third quarter moon.

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The proportion of the population that is less than 39 is 72.57%. The probability that a randomly chosen value will be greater than 36 is approximately 12.10%.

7) First, we have to find the proportion of the population with a value less than 39 in a normal distribution with a mean of 33 and a standard deviation of 10.

Calculate the z-score for the value 39.
z = (X - mean) / standard deviation
z = (39 - 33) / 10
z = 6 / 10
z = 0.6

Look up the z-score (0.6) in a standard normal distribution table or use a calculator to find the proportion.
The proportion for a z-score of 0.6 is approximately 0.7257.

So, approximately 72.57% of the population is less than 39.

8) Now, we have to find the probability that a randomly chosen value will be greater than 36 in a normal distribution with a mean of 29 and a standard deviation of 6.

Calculate the z-score for the value 36.
z = (X - mean) / standard deviation
z = (36 - 29) / 6
z = 7 / 6
z ≈ 1.17

Look up the z-score (1.17) in a standard normal distribution table or use a calculator to find the proportion.
The proportion for a z-score of 1.17 is approximately 0.8790.

Since we want the probability that a randomly chosen value will be greater than 36, we need to find the proportion of values above the z-score of 1.17.
Probability = 1 - proportion
Probability = 1 - 0.8790
Probability ≈ 0.1210

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The estimated mean of the time for completion of race is 220 minutes where as the MAD to the mean ratio is 22.272%.

What is mean?

In statistics, the mean is one of the measures of central tendency. Another two are median and mode. Mean is  the average of the given set of data.

You interviewed a random sample of 25 marathon runners and compiled the following statistics.

Mean time to complete the race = 220 minutes and MAD = 50 minutes.

So from given data it can be concluded that

mean = 220             MAD= 50

Now we find ,

(MAD/Mean ) × 100%

= (50/220)× 100%

= (5×100)/22 %

≈ 22.272%

Hence , the estimated mean of the time for completion of race is 220 minutes where as the MAD to the mean ratio is 22.272%.

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The items that are NOT expressions are:
- = y
- 1 = t − 8b

An expression is a combination of variables, numbers, and operations without an equals sign.

Based on this definition:
3z - This is an expression.
4(3x) - This is an expression.
= y - This is NOT an expression, as it contains an equals sign without any combination of variables, numbers, and operations.
2 ÷ b - This is an expression.
z + z + z - This is an expression.
1 = t − 8b - This is NOT an expression, as it contains an equals sign.

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Answer: The ratio of the side lengths of two similar figures is 2:5.

Let's assume that the dimensions of the smaller figure are 2x, 2y, and 2z, where x, y, and z are some constants. Then, the dimensions of the larger figure will be 5x, 5y, and 5z.

The ratio of the volumes of two similar figures is the cube of the ratio of their corresponding side lengths.

So, the ratio of the volumes of the smaller and larger figures will be:

(2x)^3 : (5x)^3

8x^3 : 125x^3

We can simplify this ratio by dividing both sides by the common factor of x^3:

8 : 125

Therefore, the ratio of the volumes of the smaller and larger figures is 8:125.

Step-by-step explanation:

The option B is correct. The total surface area is 457.4

1 / 2 x 17 x 11

=  93.5

base area = 17 x 13

= 221 in^2

Area of bigger triangle = 2 x 93.5

= 187 in^2

Area of small triangle = 1 / 2 x 13 x 12.3

= 79.95 in^2

The area would be 221 in^2 + 187 in^2 + 79.95 in^2

total surface area would be 457.4

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In Boolean algebra, the variables can only take the values 0 or 1. We can test all possible combinations of x and y to find which ones satisfy the equation xy = x + y: x + xy = x, proving the absorption law.

1. What values of the Boolean variables x and y satisfy xy=x+y?

In Boolean algebra, the variables can only take the values 0 or 1. We can test all possible combinations of x and y to find which ones satisfy the equation xy = x + y:

a) x = 0, y = 0:
0 * 0 = 0 + 0
0 = 0
True

b) x = 0, y = 1:
0 * 1 = 0 + 1
0 = 1
False

c) x = 1, y = 0:
1 * 0 = 1 + 0
0 = 1
False

d) x = 1, y = 1:
1 * 1 = 1 + 1
1 = 2
False

So, the only values of the Boolean variables x and y that satisfy xy = x + y are x = 0 and y = 0.

2. Prove the absorption law x + xy = x using the other laws in Table 5.

We can prove the absorption law by using the distributive law and the identity law:

x + xy = x * (1 + y)   (Applying distributive law: a(b + c) = ab + ac)

Now, using the identity law (a + 1 = 1), we have:

x * (1 + y) = x * 1

Finally, using the identity law (a * 1 = a) again:

x * 1 = x

Therefore, x + xy = x, proving the absorption law.

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