Think of a cube whose edges are 6 cm long. 1). The volume of the cube is_______cm³. 2). The total area of the cube is_________cm².​

The statement that express 9(x + 7) is product of constant factors 9 and x + 7. The Option B.

The expression 9(x + 7) represents the product of constant factors 9 and x + 7. To evaluate the expression, you would distribute the 9 to both terms inside the parentheses, resulting in 9x + 63.

This expression can also be written as a 2-term factor of 9 and x + 7. It is important to understand the different terms and factors in an expression to simplify and solve equations.

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The surface area of the rectangular prism is 29 2/3 ft²

The formula for calculating the surface area of a rectangular prism is expressed as;

SA = 2(wl + hw + hl)

Where the parameters are;

From the information given, we have that;

Wl = 3 × 5/2

multiply the values

wl = 15/2

hw = 4/3 × 3

hw = 4

hl = 4/3 × 5/2 = 20/6 = 10/3

Substitute the values

Surface area = 2(4 + 10/3 + 15/2)

Surface area = 2(24 + 20 + 45/6)

Surface area = 2(89)/6

Surface area = 89/3 = 29 2/3 ft²

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21 is the value of expression .

What is a mathematical expression?

A mathematical expression is a phrase that includes at least two numbers or variables, at least one arithmetic operation, and the expression itself. This mathematical operation may be addition, subtraction, multiplication, or division.

                               An expression's basic components are as follows: Expression: (Math Operator, Number/Variable, Math Operator). Any mathematical statement made up of numbers, variables, and an action between them is called an expression or an algebraic expression.

= (-7) (-3)

= 21

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The resulting two-dimensional shape is a square with an area of 72 square units.

The pyramid is a square right pyramid, the base is a square and the vertical height meets the base at its center. When the pyramid is sliced by a plane that passes vertically through the top vertex and is perpendicular to the base, the resulting two-dimensional shape is a square.

The plane section intersects the four triangular faces of the pyramid, creating four smaller triangles with the same shape and size. These four triangles can be rearranged to form a smaller square that is similar to the larger square base of the pyramid. The area of the plane section is equal to the area of the smaller square, which is proportional to the area of the larger square base. The proportionality constant is equal to the ratio of the height of the plane section to the height of the pyramid.

Let H be the height of the pyramid and h be the height of the plane section. Then, we have:

h/H = (side length of smaller square)/(side length of larger square)

= √(2)/2

Solving for h, we get:

h = (√(2)/2) * H

The area of the plane section is then:

A = (side length of smaller square)²

= (√2)/2 * side length of larger square)²

= (√(2)/2)² * (side length of larger square)²

= (1/2) * (side length of larger square)²

Since the side length of the larger square base is given, we can substitute it in and simplify to get:

A = (1/2) * (12)² = 72 square units

As a result, the resultant two-dimensional form is a square with 72 square units of area.

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Answer:

The answer is 1×10⁶ to the nearest whole number

Step-by-step explanation:

7.6×10⁰/5.4×10‐⁶

7.6×10^(0-(-6)/5.4

7.6×10^(0+6)/5.4

7.6×10⁶/5.4

=1×10⁶ to the nearest whole number

The empirical rule does not apply to this dataset because the empirical rule is used to describe data that is normally distributed.

The empirical rule is a statistical rule that states that for a normal distribution.

Approximately 68% of the data will fall within one standard deviation of the mean, 95% of the data will fall within two standard deviations of the mean, and 99.7% of the data will fall within three standard deviations of the mean.

The empirical rule does not apply to this dataset because the empirical rule is used to describe data that is normally distributed.

This dataset does not appear to be normally distributed, as evidenced by the large outlier (1 Insidi High Gross Revenue).

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The answer of the given question based on the  rectangular prism is , , it would take 8 small rectangular prisms to fill the large rectangular prism.

A rectangular prism, also known as a rectangular parallelepiped, is a three-dimensional solid object that has six rectangular faces, with opposite faces being congruent and parallel. It is a special case of a parallelepiped in which all angles are right angles and all six faces are rectangles.

To find how many small rectangular prisms will fit inside the large rectangular prism, we need to calculate the volume of each prism and then divide the volume of the large prism by the volume of the small prism.

The volume of the large prism is:

V_large = length × width × height = 5 ft × 3 ft × 4 ft = 60  feet³

The volume of the small prism is:

V_small = length × width × height = 2.5 ft × 1.5 ft × 2 ft = 7.5  feet³

Dividing the volume of the large prism by the volume of the small prism, we get:

number of small prisms = V_large / V_small = 60 ft³ / 7.5 ft³ = 8

Therefore, it would take 8 small rectangular prisms to fill the large rectangular prism.

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After completing the following steps, you will have the quadratic regression equation that models the data with values rounded to the nearest whole number. Keep in mind that you'll need specific data points to provide an actual equation.

To find the values that complete the quadratic regression equation for a given set of data, you'll need to follow these steps:

1. Organize the data points into a table with x-values and y-values.
2. Determine the sums of x, y, x², x³, x⁴, and xy.
3. Create a system of linear equations using the sums found in step 2.
4. Solve the system of linear equations to find the coefficients a, b, and c.
5. Write the quadratic regression equation in the form y = ax² + bx + c, rounding the coefficients to the nearest whole number.

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The equivalent exponential expression for this problem is given as follows:

A. 4^15 x 5^10.

The exponential expression in the context of this problem is defined as follows:

[tex]\left(\frac{4^3}{5^{-2}}\right)^5[/tex]

To simplify the expression, we must first apply the power of power rule, which means that when one exponential expression is elevated to an exponent, we keep the base and multiply the exponents, hence:

4^(15)/5^(-10)

The negative exponent at the denominator means that the expression can be moved to the numerator with a positive exponent, hence the simplified expression is given as follows:

4^15 x 5^10.

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There are 195 games played in the competition.

Let the total number of points scored in each game be represented by the variable "x". Since a goal is worth 6 points and a behind is worth 1 point, we can write an equation in terms of "x":

6a/13 + b/15 = x

where "a" is the total number of goals scored and "b" is the total number of behinds scored by your team in the round.

Since all games have the same final score, we know that the total number of points scored in the round is equal to the number of games played times the final score:

x * number of games = total points scored

We also know that the total number of points scored in the round is equal to the total number of goals scored (by all teams) times 6 plus the total number of behinds scored (by all teams):

x * number of games = 6 * total number of goals + total number of behinds

Substituting the first equation into the second equation, we get:

(6a/13 + b/15) * number of games = 6 * total number of goals + total number of behinds

Simplifying this equation and solving for "number of games", we get:

number of games = 1170/(2a/13 + b/15)

Since the number of games must be an integer, we can see that 2a/13 + b/15 must be a divisor of 1170. The possible values of 2a/13 + b/15 are:

2/13 + 78/15 = 72/5

4/13 + 72/15 = 56/5

6/13 + 66/15 = 44/5

8/13 + 60/15 = 32/5

The only divisor of 1170 among these values is 72/5, which corresponds to a = 26 and b = 312. Therefore, the number of games played in the round is:

number of games = 1170 / [(2a/13) + (b/15)]

                              = 1170 / [(2*26/13) + (312/15)]

                              = 195

As a result, 195 games have been played in the competition.

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The length of the garden is 99 m.

The formula for the area of a rectangle is:

Area = Length x Width

We are given that the area of the rectangle is 8811 [tex]m^{2}[/tex] and the width is 89 m. Substituting these values into the formula, we get:

8811 [tex]m^{2}[/tex] = Length x 89 m

To solve for the length, we can divide both sides of the equation by 89 m:

Length = 8811 [tex]m^{2}[/tex] / 89 m

Simplifying, we get:

Length = 99 m

Therefore, the length of the garden is 99 m.

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Answer:

We can find the sum of the interior angles of any polygon using the formula

[tex]S_{n}=180(n-2)[/tex], where n is the number of sides.

Because each of these polygons have four sides, we can use one formula where our n is 4 to find the sum of the interior angles:

[tex]S_{4}=180(4-2)\\ S_{4}=180*2\\ S_{4}=360[/tex]

Thus, for all four problems, we can set the four angles equal in the four polygons equal to 360 and solve for the variables

(15) *Note the right angle symbol in this problem which always equals 90°

[tex]84+90+(2x+118)+(2x+68)=360\\174+2x+118+2x+68=360\\360+4x=360\\4x=0\\x=0[/tex]

Now, to find the measure of <Y, we simply plug in 0 for x in its equation

m<Y = 2(0) + 118 = 118°

(16):

[tex]82+105+(8x+11)+10x=360\\187+8x+11+10x=360\\198+18x=360\\18x=162\\x=9[/tex]

To find the measure of <F, we plug in 9 for x in its equation

m<F = 10(9) = 90°

(17):

[tex]95+95+(10x-5)+(8x+13)=360\\190+10x-5+8x+13=360\\198+18x=360\\18x=162\\x=9[/tex]

To find the measure of <M, we plug in 9 for x in its equation

m<M = 10(9) - 5 = 85°

(18):

[tex](14x-7)+(11x-2)+93+76=360\\14x-7+11x-2+169=360\\25x+160=360\\25x=200\\x=8[/tex]

To find the measure of <M, we plug in 8 for x in its equation

m<M = 11(8) - 2 = 86°

The probability of selecting a T or a P on the second draw, given that an F was selected on the first draw is 0.39.

The probability of selecting a T or a P on the second draw, given that an F was selected on the first draw, can be calculated using conditional probability.

P(A|B) = P(A and B) / P(B)

P(A and B) = P(T or P on second draw and F on first draw) = P(T on second draw and F on first draw) + P(P on second draw and F on first draw)

= (3/9) x (4/10) + (2/9) x (4/10) = 14/90

To find P(B), we know that it is 0.4.

Therefore, the conditional probability of selecting a T or a P on the second draw, given that an F was selected on the first draw, is:

P(A|B) = P(A and B) / P(B) = (14/90) / 0.4 ≈ 0.39

So the probability of selecting a T or a P on the second draw, given that an F was selected on the first draw, is approximately 0.39.

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Standard deviation normal distribution table or calculator to determine the probability of observing a z-score of 1.3 or higher.

The probability is approximately 0.0968, or 9.68%.

To determine the mean number of times the letter appears on a page, we can multiply the probability of the letter appearing (0.066) by the total number of characters on the page (2650):

[tex]Mean = 0.066 \times 2650 = 174.9[/tex]

To calculate the standard deviation, we can use the formula:

Standard deviation = [tex]\sqrt(n \times p \times q)[/tex]

n is the sample size (2650), p is the probability of success (0.066), and q is the probability of failure [tex](1 - p = 0.934)[/tex].

Standard deviation = [tex]sqrt(2650 \times 0.066 \times 0.934) = 13.2[/tex] (rounded to 1 decimal place)

Determine whether 192 occurrences of the letter on a page is unusual, we can use the z-score formula:

z = (x - mean) / standard deviation

x is the observed number of occurrences (192), mean is the expected number of occurrences (174.9), and standard deviation is the standard deviation we just calculated (13.2).

[tex]z = (192 - 174.9) / 13.2 = 1.3[/tex]

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In "Chi-Square-test" for the inde-pendence, "re-search-hypothesis" and "null-hypothesis" always contradict each other, the Option(a) is correct.

In the "Chi-Square" test for independence, the "Null-Hypothesis" (H₀) assumes that there is no association between the two categorical variables being tested, while the research hypothesis (Hₐ) proposes that there is a significant association between the variables.

These hypotheses are mutually exclusive and contradictory to each other.

If the "null-hypothesis" is rejected based on the results of the chi-square test, it implies that there is evidence to support the "research-hypothesis",  which indicates that there is a significant association between the variables.

Conversely, if "null-hypothesis" is not rejected, it suggests that there is not enough evidence to support the "research-hypothesis", and the conclusion would be that there is no significant association between the variables.

Therefore, the correct option is (a).

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One advantage of being able to see each individual data point in a graph when comparing two data sets is that it allows for a more detailed and nuanced analysis of the data.

A statistical relationship in which a change in one variable is correlated with a change in the other is known as correlation. Causation, which describes a causal link between two variables in which a change in one variable directly causes a change in the other variable, is not implied by correlation. In other words, there might be a correlation without a cause. It is possible for two variables to be connected by coincidence or only because they both react to a third, underlying factor. To establish causality,

When comparing two data sets, one benefit of being able to view each individual data point on a graph is that it enables a more thorough and nuanced study of the data. We can spot any outliers or abnormalities that might be impacting the overall trend or pattern in the data by examining individual data points. The dispersion or concentration of values in each collection of data points can be compared as well, which may reveal differences or similarities between the sets that aren't immediately obvious from a summary statistic or broad trend.

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the translated point is located in the third quadrant of the coordinate system, since both coordinates are negative.

What is Cartesian coordinate?

A coordinate system, also known as a Cartesian coordinate system, is a system used to describe the position of points in space. It is named after the French mathematician and philosopher René Descartes, who introduced the concept in the 17th century. In a coordinate system, each point is assigned a unique pair of numbers, called coordinates, that describe its position relative to two perpendicular lines, called axes. The horizontal axis is usually labeled x and the vertical axis is usually labeled y.

To apply the translation rule T(-3, 1) to the point (2, -7), we need to add the translation vector (-3, 1) to the coordinates of the point:

(2, -7) + (-3, 1) = (-1, -6)

The resulting point after the translation is (-1, -6).

Therefore, the translated point is located in the third quadrant of the coordinate system, since both coordinates are negative.

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For the relevant range of production of units total amount of product and period cost as per units are,

Total amount of product costs for 29,250 units is $687,375.

Total amount of period costs incurred for 29,250 units is $58,511.50

Total amount of product costs for 33,500 units is equal to $787,250.

Total amount of period costs for 25,000 units  is equal to $50,011.50.

Average Cost per Unit Direct materials  = $ 8. 50

Direct labor = $ 5. 50

Variable manufacturing overhead = $ 3. 00

Fixed manufacturing overhead = $ 6. 50

Fixed selling expense  = $ 5. 00

Fixed administrative expense = $ 4. 00

Sales commissions = $ 2. 50

Variable administrative expense = $ 2. 00

Total unit produced = 29,250 units,

Total product costs

= (Direct materials + Direct labor + Variable manufacturing overhead + Fixed manufacturing overhead) x Number of units produced

= ($8.50 + $5.50 + $3.00 + $6.50) x 29,250

= $23.50 x 29,250

= $687,375

The total amount of product costs incurred to make 29,250 units is $687,375.

Total period costs

= Fixed selling expense + Fixed administrative expense + Sales commissions + (Variable administrative expense x Number of units sold)

= $5.00 + $4.00 + $2.50 + ($2.00 x 29,250)

= $5.00 + $4.00 + $2.50 + $58,500

= $58,511.50

The total amount of period costs incurred to sell 29,250 units is $58,511.50

For the number of units produced changed to 33,500.

Total product costs

= (Direct materials + Direct labor + Variable manufacturing overhead + Fixed manufacturing overhead) x Number of units produced

= ($8.50 + $5.50 + $3.00 + $6.50) x 33,500

= $23.50 x 33,500

= $787,250

The total amount of product costs incurred to make 33,500 units is $787,250.

The number of units sold changed to 25,000.

Total period costs

= Fixed selling expense + Fixed administrative expense + Sales commissions + (Variable administrative expense x Number of units sold)

= $5.00 + $4.00 + $2.50 + ($2.00 x 25,000)

= $5.00 + $4.00 + $2.50 + $50,000

= $50,011.50

The total amount of period costs incurred to sell 25,000 units is $50,011.50.

Therefore, the total amount of the product and period cost for different situations are,

Total amount of product costs is equal to $687,375.

Total amount of period costs incurred is equal to $58,511.50

Total amount of product costs is equal to $787,250.

Total amount of period costs is equal to $50,011.50.

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Step-by-step explanation:

The 'experiment' shows that   3 out of 15 shirts sold is blue

  or  3/15    ....    =  1/5  chance the next shirt is blue

The minimum total cost of Mary's six lunches is $30.40.

To approach this problem, we need to consider the cost of each lunch individually and then sum them up to get the total cost. Let's start by finding the cost of Wednesday's lunch. We know that Friday's lunch cost 1.5 times as much as Wednesday's lunch, so we can write:

Friday's lunch = 1.5 x Wednesday's lunch

We also know that each lunch costs a multiple of 20 cents, so we can write:

Friday's lunch = $x, where x is a multiple of 20 cents

Wednesday's lunch = $y, where y is a multiple of 20 cents

Combining these two equations, we get:

$x = 1.5y

Since we're looking for the minimum total cost, we want to minimize the cost of each lunch. The cheapest lunch costs $4.40, which is equivalent to 22 multiples of 20 cents. So we can write:

$4.40 ≤ y ≤ $7.60

Now, we can use the information about Tuesday's lunch to find the cost of Thursday's lunch. We know that Tuesday's lunch cost $1.20 more than Thursday's lunch, so we can write:

Tuesday's lunch = Thursday's lunch + $1.20

Again, each lunch costs a multiple of 20 cents, so we can write:

Tuesday's lunch = $z, where z is a multiple of 20 cents

Thursday's lunch = $w, where w is a multiple of 20 cents

Combining these two equations, we get:

$z = w + $1.20

Now, we have two equations and two unknowns (x and y) and (z and w). We can solve these equations simultaneously to find the cost of each lunch. We get:

x = 1.5y

z = w + $1.20

We can substitute the first equation into the second equation to get:

z = 1.5y + $1.20

Now we have three equations and three unknowns (x, y, and z). We also know that each lunch costs a multiple of 20 cents, so we can write:

x = $a, where a is a multiple of 20 cents

y = $b, where b is a multiple of 20 cents

z = $c, where c is a multiple of 20 cents

Substituting these values into our equations, we get:

$a = 1.5b

$c = b + $1.20

$4.40 ≤ b ≤ $7.60

We can solve for b by substituting the second equation into the third equation:

$c = b + $1.20

$b = c - $1.20

Substituting this value of b into the first equation, we get:

$a = 1.5(c - $1.20)

$a = 1.5c - $1.80

Now, we can substitute these values into our equation for the total cost of Mary's six lunches:

Total cost = $a + $b + $c + $d + $e + $f

Total cost = $1.5c - $1.80 + $c + $b + $b + $c + $d + $e

Total cost = $4c - $1.80 + $b + $d + $e

We want to minimize the total cost, so we want to minimize each term in the above equation. We know that the minimum value of b is $4.40, and we want to choose c, d, and e to be as close to $4.40 as possible. This will minimize the total cost. The maximum value of c is $7.60, so we can choose c to be $7.60. We can then choose d and e to be $4.40 each, since these are the minimum possible values.

Substituting these values into our equation for the total cost, we get:

Total cost = $4c - $1.80 + $b + $d + $e

Total cost = $4($7.60) - $1.80 + $4.40 + $4.40

Total cost = $30.40

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Complete Question:

Mary worked from Monday to Saturday last week and bought lunch in the company's restaurant every day. Her lunches cost a different amount every day. Each lunch cost a multiple of 20¢.The most expensive lunch of the week cost $7.60 and the cheapest one cost $4.40.Friday's lunch cost exactly 1½ times as much as Wednesday's lunch. Tuesday's lunch cost $1.20 more than Thursday's lunch.

(a) What is the minimum total that Mary's six lunches last week could have cost?

[tex]y=-\frac{5}{4}x -5[/tex]Answer:



Step-by-step explanation:

The area of the region bounded by the curves y = 5/x and y = 5/x^2, and the vertical line x = 3 is approximately 7.385 square units.

To find the area of the region bounded by the curves, we need to first determine the points of intersection between them.

Setting the two given functions equal to each other, we have

5/x = 5/x^2

Multiplying both sides by x^2, we get

5x = 5

Solving for x, we get

x = 1

So the curves intersect at x = 1.

Next, we need to determine the limits of integration. The region is bounded by the vertical line x = 3, so we integrate from x = 1 to x = 3.

The area is given by

A = [tex]\int\limits^3_1[/tex] [(5/x) - (5/x^2)] dx

Using the power rule of integration, we get:

A = [5ln(3) + (5/3)] - [5ln(1) + (5/1)]

Simplifying, we get

A = 5ln(3) + (10/3)

A = 7.385 square units

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To evaluate the predictive performance of the tree model, we need to create the lift chart using the test data and analyze its shape.

A lift chart is a graphical representation of the performance of a predictive model. It can be used to evaluate the effectiveness of a model in identifying a target variable, compared to a random guess. The lift chart shows how much better the model is performing than a random guess, at different levels of the target variable.

To produce a lift chart for a decision tree model, we typically first rank the test data according to the predicted probabilities of the target variable. Then, we divide the data into equal-sized segments, called quantiles, based on the predicted probabilities. For example, if we divide the data into 10 quantiles, the first quantile will contain the 10% of cases with the lowest predicted probabilities, the second quantile will contain the next 10% of cases, and so on, up to the 10th quantile, which will contain the 10% of cases with the highest predicted probabilities.

For each quantile, we calculate the ratio of the number of cases in that quantile that have the target variable to the number of cases we would expect to see if the model was performing no better than random chance. This ratio is called the lift, and it represents how much better the model is performing than random chance, at that level of the target variable.

We can then plot the lift for each quantile on a graph, with the x-axis representing the quantiles and the y-axis representing the lift. A good model will have a lift chart that is above the diagonal line, which represents the performance of a random guess.

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Answer: Let x be the measure of the smallest angle in the triangle. Then we have:

One angle is three times as large as another, so the second angle is 3x.

The third angle is 80° more than the smallest angle, so it is x + 80.

The sum of the angles in a triangle is always 180°, so we can write an equation:

x + 3x + (x + 80) = 180

Simplifying and solving for x, we get:

5x + 80 = 180

5x = 100

x = 20

Therefore, the smallest angle in the triangle is x = 20 degrees, the second angle is 3x = 60 degrees, and the third angle is x + 80 = 100 degrees.

Step-by-step explanation:

Answer:

y = 3/5x + 3

Step-by-step explanation:

points on the graph

(-5,0) and (0,3)

0- 3 = -3

-5 - 0 = -5

-3/-5= 3/5

y = 3/5x + B

use a point from the graph

3 = 3/5 x 0 + B

3 = 0 + B

3 -0 = 3

3 = B

check answer

(-5,0)

Y = 3/5 x -5 + 3

Y = -15/3 + 3

Y = -3 + 3

Y = 0

Making the equation true y = 3/5x + 3

To find the speed of the tsunami at the depth of 2145 meters, you can use the given function:

Plug in the value of d (2145 meters):

The dimensions of Noah's Ark in feet are 450 feet by 75 feet if the dimensions of Noah's Ark is 3.0 × 102 cubits by 5.0 × 101 cubits.

Noah's Ark is said to have dimensions of 3.0 × 10^2 cubits by 5.0 × 10^1 cubits. To convert these measurements to feet, we can use the conversion factor of 1 cubit = 1.5 feet.

First, we need to convert the length of the ark from cubits to feet. To do this, we multiply the length of the ark in cubits (3.0 × 10^2) by the conversion factor of 1.5 feet/cubit. This gives us a length of

3.0 × 10^2 cubits x 1.5 feet/cubit = 450 feet

Similarly, we can convert the width of the ark from cubits to feet by multiplying the width in cubits (5.0 × 10^1) by the conversion factor of 1.5 feet/cubit. This gives us a width of:

5.0 × 10^1 cubits x 1.5 feet/cubit = 75 feet

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The maximum number of consecutive odd positive integers that can be added together before the sum exceeds 401 is 11.

Let's assume the first odd integer is x. Then, the sum of the next n consecutive odd integers would be given by:

x + (x+2) + (x+4) + ... + (x+2n-2) = nx + 2(1+2+...+n-1) = nx + n(n-1)

We want to find the largest n such that the sum is less than or equal to 401:

nx + n(n-1) ≤ 401

Since the integers are positive and odd, we can start with x=1 and then try increasing values of n until we find the largest value that satisfies the inequality:

n + n(n-1) ≤ 401

n² - n - 401 ≤ 0

Using the quadratic formula, we find that the solutions are:

n = (1 ± √(1+1604))/2

n ≈ -31.77 or n ≈ 32.77

We discard the negative solution and round down to the nearest integer, giving us n = 11. Therefore, the maximum number of consecutive odd positive integers that can be added together before the sum exceeds 401 is 11.

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Complete Question:

what is the maximum number of consecutive odd positive integers that can be added together before the sum exceeds 401?

If a triangle has vertices at (-1,5), (4,2), and (1,2). The perimeter of the triangle is: 12.44 units.

To find the perimeter of the triangle, we need to calculate the distance between each pair of vertices and then add them up. We can use the distance formula to find the distance between two points:

Distance = sqrt((x2 - x1)^2 + (y2 - y1)^2)

Using this formula, we can calculate the three sides of the triangle:

Side 1: Distance between (-1,5) and (4,2)

= sqrt((4 - (-1))^2 + (2 - 5)^2)

= sqrt(5^2 + (-3)^2)

= sqrt(34)

Side 2: Distance between (4,2) and (1,2)

= sqrt((1 - 4)^2 + (2 - 2)^2)

= sqrt((-3)^2 + 0^2)

= 3

Side 3: Distance between (1,2) and (-1,5)

= sqrt((-1 - 1)^2 + (5 - 2)^2)

= sqrt((-2)^2 + 3^2)

= sqrt(13)

Now, we can add up the three sides to get the perimeter:

Perimeter = Side 1 + Side 2 + Side 3

= sqrt(34) + 3 + sqrt(13)

≈ 12.44 (rounded to two decimal places)

Therefore, the perimeter of the triangle is approximately 12.44 units.

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The complete question is:

A triangle has vertices at (-1,5), (4,2), and (1,2). What is the perimeter of the triangle.