12. [0/5.26 Points] DETAILS PREVIOUS ANSWERS BBBASICSTAT8ACC 7.3.005.MI.S. Assume that x has a normal distribution with the specified mean and standard deviation. Find the indicated probability. μ-8; 0-2 P(7 ≤ x ≤ 11)-0.625 x Need Help? Read It Watch It Submit Answer 13. [0/5.26 Points] DETAILS PREVIOUS ANSWERS BBBASICSTAT8ACC 7.3.011.MI.S. Assume that x has a normal distribution with the specified mean and standard deviation. Find the indicated probability. = 20; a = 3.8 P(x230)= 0.2994 Need Help? Read It

Answer: C

Step-by-step explanation:

Answer:

4x = 5

Step-by-step explanation:

Given:

4x - 2 = 3

Add 2 on both sides.

4x = 5

Answer:

Step-by-step explanation:

4x - 2 = 3

    +2    +2

4x = 5

so where are the numbers

Knowledge extraction, pattern analysis, data archaeology, information harvesting, pattern searching, and data dredging are all alternative names for Data mining.

Data mining refers to the process of discovering patterns, extracting useful information, and uncovering hidden insights from large datasets. It involves applying various computational techniques, statistical algorithms, and machine learning methods to analyze vast amounts of data.

Knowledge extraction, pattern analysis, data archaeology, information harvesting, pattern searching, and data dredging are all alternative names for data mining because they all encompass the fundamental goal of extracting valuable knowledge and insights from data. These terms emphasize different aspects of the data mining process.

Knowledge extraction highlights the extraction of meaningful information, while pattern analysis focuses on identifying recurring patterns. Data archaeology suggests uncovering hidden information from historical or legacy data sources. Information harvesting and data dredging both emphasize the systematic exploration of data to uncover valuable insights.

Pattern searching highlights the process of searching for specific patterns or relationships within the data. These terms all revolve around the core concept of extracting meaningful knowledge from large datasets.

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You can use the circumference of the circle that the blade makes to calculate the linear velocity at the end of the blade.

The linear velocity at the end of the blade is 13571.7 inches per minute

You can think of it as if some circle is being drawn by the end of the blade and then that circle is like wheel of a bicycle and its travelling on road. Each rotation will make it cover distance equal to its circumference. Since there are 60 revolutions of the blade in each minute, thus, 60 rounds of that wheel.

The total distance in 1 minute = 60 times circumference of the circle made by the end of the blade of the lawnmower.

Since the blade is 36 inches long, it can be taken as radius of that circle.

The circumference is thus calculated as \(2 \times \pi \times 36 = 226.19 \: \rm inches\)

Thus, linear velocity = 226.19 times 60 inches per minute = 13571.7 inches per minute

Thus,

The linear velocity at the end of the blade is 13571.7 inches per minute

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Answer:

i think its D or 4,320pi

Step-by-step explanation:

just divided the previous persons answer by pi and its d on edge 2022.

Answer:

Matrix X=[12 8 -24 16]

Step-by-step explanation:

Constant multiples of matrices simply distribute to each entry and multiply them.

So if (1/2)X=A, then X=2A=2[6 4 -12 8]=[12 8 -24 16]

The answer is in the link below I couldn't write it on Brainly bc my computer was being wack, but I hope I can help, I didn't only give the answer but there is a step by step so that should help you out a bit. Good Luck!!!!!!

I assume you want this explained

Answer and explanation:

If the function f ( x ) = 5 x − 320 represents the total amount of funds raised based on the number of tickets sold, x , minus the cost of decorations then x number of tickets is an independent variable here that will determine the total amount of funds raised y(dependent variable)

The y intercept is -320 and the slope is 5

If for example the number of tickets sold = 100 tickets

Total amount of funds using the function :

f(100)= 5×100-320

=500-320

= $180

Answer:

The slope of the function is 5, and it represents the price of each ticket .

Step-by-step explanation:

Answer:

600

Step-by-step explanation:

The factor of the polynomial is option (D) (2x+5)^2 is the correct answer.

In this question,

Factorization is the breaking or decomposition of an entity (i.e.,) a number, a matrix, or a polynomial into a product of another entity, or factors, which when multiplied together give the original number. Factorize an expression involves take out the greatest common factor (GCF) of all the terms.

The polynomial is \(4x^{2} +20x+25\)

The above polynomial can be factored as

⇒ \(4x^{2} +20x+25=0\)

⇒ \((2x)^{2}+2(2x)(5)+5^{2}\)

⇒ \((2x+5)^{2}\)

Hence we can conclude that the factor of the polynomial is option (D)(2x+5)^2 is the correct answer.

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Answer

hope it help.

The solution of the set to the equation y = –4x + 100 will be 25.

A linear system is one in which the parameter in the equation has a degree of one. It might have one, two, or even more variables.

The equation of line is given as

y = mx + c

Where m is the slope and c is the y-intercept.

A tire warehouse has an Inventory of 100 tires.

Customers can only purchase tires in complete sets of four.

Let the remaining amount of tires be y and the number of sets of tires purchased be x.

The slope of the line is negative 4 and the y-intercept of the line is 100.

Then the equation of the line will be

y = –4x + 100

At y = 0, then the value of x will be

4x = 100

 x = 25

Then the equation of the line is drawn below.

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The answers that describe the quadrilateral DEFG area rectangle and parallelogram.

The correct answer choice is option A and B.

A quadrilateral is a parallelogram, which has opposite sides that are congruent and parallel.

Quadrilateral DEFG

if line DE || FG,

line EF // GD,

DF = EG and

diagonals DF and EG are perpendicular,

then, the quadrilateral is a parallelogram

Hence, the quadrilateral DEFG is a rectangle and parallelogram.

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So the final answer is:

v = 12 cos(θ) i + 12 sin(θ) j, or

v = 12(cos(θ) i + sin(θ) j)

From the information given, we know that the magnitude of the vector v is 12, and it makes an angle θ with the positive x-axis. We can use trigonometry to find the x and y components of the vector v, and then write it in terms of its components.

Let's assume that the vector v starts at the origin O(0,0). Then the x component of v is given by v_x = |v| cos(θ), and the y component of v is given by v_y = |v| sin(θ).

a) Op = -6/37 - 6: This cannot be the correct answer since it does not provide enough information about the vector v.

b) v = 61 - 613: This also cannot be the correct answer since it gives only the x component of the vector v and does not provide any information about the angle θ.

c) Oj = 6731 - 61: This also cannot be the correct answer since it gives only the y component of the vector v and does not provide any information about the angle θ.

d) v = 6/3i +6: This cannot be the correct answer since it is not consistent with the given magnitude of 12.

e) v = -6731 +6: This cannot be the correct answer since it gives only the x component of the vector v and does not provide any information about the angle θ.

Therefore, we need to use the trigonometric formulae to calculate the components of the vector v:

v_x = |v| cos(θ) = 12 cos(θ)

v_y = |v| sin(θ) = 12 sin(θ)

Now we can write the vector v in terms of its components:

v = v_x i + v_y j

= 12 cos(θ) i + 12 sin(θ) j

We can simplify this expression by factoring out 12:

v = 12(cos(θ) i + sin(θ) j)

So the final answer is:

v = 12 cos(θ) i + 12 sin(θ) j, or

v = 12(cos(θ) i + sin(θ) j)

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The mean and variance of the random variable y with density function w = 5 - 5y are μ = 1/3 and σ² = 1/18, respectively.

To find the mean (μ) and variance (σ²) of the random variable y with density function w = 5 - 5y, follow these steps:

1. Find the mean (μ): Calculate the expected value (E[y]) by integrating y * w(y) over the interval [0, 1], which is the valid range for the density function:
μ = ∫[0, 1] y(5 - 5y) dy = (5/6)y² - (5/3)y³ | evaluated from 0 to 1 = (5/6) - (5/3) = 1/3

2. Find the second moment (E[y²]): Integrate y² * w(y) over the interval [0, 1]:
E[y²] = ∫[0, 1] y²(5 - 5y) dy = (5/9)y³ - y⁵ | evaluated from 0 to 1 = (5/9) - 1 = 4/9

3. Find the variance (σ²): Calculate the second moment minus the square of the mean:
σ² = E[y²] - μ² = (4/9) - (1/3)² = 4/9 - 1/9 = 1/18

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Answer:

-1 - ( -2 ) = 1

Step-by-step explanation:

The solution to the linear system is unique solution which is  x₁ = 1/6, x₂ = 3/2, and x₃ = 17/6.

The correct answer is option  A.

To solve the given system of linear equations using elementary row operations and back substitution, let's start by representing the augmented coefficient matrix:

[1  -4  5  |  23]

[2   1   1  |  10]

[-3  2  -3 |  -23]

We'll apply row operations to transform this matrix into echelon form:

1. Multiply Row 2 by -2 and add it to Row 1:

[1  -4   5   |  23]

[0   9   -9  |  -6]

[-3  2  -3  |  -23]

2. Multiply Row 3 by 3 and add it to Row 1:

[1  -4  5   |  23]

[0   9  -9  |  -6]

[0   -10 6  |  -68]

3. Multiply Row 2 by 10/9:

[1  -4  5    |  23]

[0   1   -1   |  -2/3]

[0   -10 6  |  -68]

4. Multiply Row 2 by 4 and add it to Row 1:

[1  0   1   |  5/3]

[0  1   -1  |  -2/3]

[0  -10 6  |  -68]

5. Multiply Row 2 by 10 and add it to Row 3:

[1  0   1   |  5/3]

[0  1   -1  |  -2/3]

[0  0   -4  |  -34/3]

Now, we have the augmented coefficient matrix in echelon form. Let's solve the system using back substitution:

From Row 3, we can deduce that -4x₃ = -34/3, which simplifies to x₃ = 34/12 = 17/6.

From Row 2, we can substitute the value of x₃ and find that x₂ - x₃ = -2/3, which becomes x₂ - (17/6) = -2/3. Simplifying, we get x₂ = 17/6 - 2/3 = 9/6 = 3/2.

From Row 1, we can substitute the values of x₂ and x₃ and find that x₁ + x₂ = 5/3, which becomes x₁ + 3/2 = 5/3. Simplifying, we get x₁ = 5/3 - 3/2 = 10/6 - 9/6 = 1/6.

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Answer:

turkey=$32.786

ham=$26.086

Answer:

I believe that each turkey would be 47.94$ for each piece And the ham would be 41.51$ for each piece.

Step-by-step explanation:

Hope this helps!

a. sqrt(22.38/4 + 22.38/8) = 2.98. b. sqrt(89.33/4 + 89.33/8) = 3.95. c.  the standard deviation of the distribution of sample means, also increases.

a. The pooled variance is 22.38 and the estimated standard error is 2.98.

To calculate the pooled variance, we use the formula: pooled variance = [(n1 - 1)s1^2 + (n2 - 1)s2^2] / (n1 + n2 - 2). Plugging in the values, we get: [(4-1)*17 + (8-1)*27] / (4+8-2) = 22.38. The estimated standard error is calculated using the formula: estimated standard error = sqrt(sp^2/n1 + sp^2/n2), where sp^2 is the pooled variance. Plugging in the values, we get: sqrt(22.38/4 + 22.38/8) = 2.98.

b. The pooled variance is 89.33 and the estimated standard error is 3.95.

To calculate the pooled variance, we use the same formula as in part a: [(n1 - 1)s1^2 + (n2 - 1)s2^2] / (n1 + n2 - 2). Plugging in the new values, we get: [(4-1)*68 + (8-1)*108] / (4+8-2) = 89.33. The estimated standard error is calculated using the same formula as in part a: estimated standard error = sqrt(sp^2/n1 + sp^2/n2), where sp^2 is the pooled variance. Plugging in the new values, we get: sqrt(89.33/4 + 89.33/8) = 3.95.

c. Increased variance leads to a larger estimated standard error.

In part a, the estimated standard error was 2.98, while in part b it increased to 3.95. This is because as the variance of the samples increases, the variability of the sample means also increases. As a result, the estimated standard error, which measures the standard deviation of the distribution of sample means, also increases.

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The variable is constrained if it is restricted in some way or if it is required to meet certain conditions. X1 + X2 + (d⁻) – (d⁺) = 45

A hard constraint is the one that cannot be broken, while a soft constraint is the one that can be broken if necessary. This is usually the maximum value for a problem.

A variable is constrained if it is restricted in some way or if it is required to meet certain conditions. X1 + X2 + (d⁻) – (d⁺) = 45 is a soft constraint.

It was initially a hard constraint that X1 + X2 equals 45. d⁻ and d⁺ represent under and overestimation, respectively. For instance,

if the maximum time required for a particular job is 60 minutes,

but the estimation for that time is 50 minutes,

the deviation in this case is an underestimation of 10 minutes, or d⁻.

The deviation that needs to be minimized is d⁺.

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The value of y are 8, 7, 6, 5, 4, 3 and graph of the line is a straight line.

In math, a graph can be defined as a pictorial representation or a diagram that represents data or values in an organized manner.

Given is an equation, x+y = 6, we need to find the value of y corresponding to the value of x which are given,

x+y = 6

For x = -2,

-2+y = 6

y = 8

For x = -1,

-1+y = 6

y = 7

For x = 0

0+y = 6

y = 6

For x = 1,

1+y = 6

y = 5

For x = 2,

2+y = 6

y = 4

For x = 3,

3+y = 6

y = 3

Therefore, we get the value of y = 8, 7, 6, 5, 4, 3

Plotting for same, we get a straight line (attached graph)

Hence, the value of y are 8, 7, 6, 5, 4, 3 and graph of the line is a straight line.

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Answer:

c new coordinates are (1,3) d new coordinatecoordinates are (3,3) e new coordinates are (1,1)

Step-by-step explanation:

Answer:

E' (1,1)

C' (1,3)

D' (3,3)

Step-by-step explanation:

This is the correct rotation of the triangle.

Answer:d

Step-by-step explanation:I took the quiz

The property that refers to the density of the medium's particles at the compression of a sound wave is the amplitude of the wave.

The vibration that propagates as an acoustic wave, through a transmission medium such as a gas, liquid or solid.

amplitude of the wave is the property which represents the density of the medium's particles at the compression of a sound wave.

The maximum displacement of the particles in the medium from their rest position as the wave passes through them is the amplitude of the wave.

Amplitude refers the maximum pressure variation of compression and rarefaction that the sound wave creates in the medium.

Hence,  property that refers to the density of the medium's particles at the compression of a sound wave is the amplitude of the wave.

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Hey there!

12 ≥ 5f - 18

5f - 18 ≤ 12

ADD 18 to BOTH SIDES

5f - 18 + 18 ≤ 12 + 18

SIMPLIFY IT!

5f ≤ 30

DIVIDE 5 to BOTH SIDES

5f/5 ≤ 30/5

SIMPLIFY IT!

f ≤ 6

Therefore, your answer is: f ≤ 6

Good luck on your assignment & enjoy your day!

~Amphitrite1040:)

Answer:

Hey mate, here's ur answer:

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

-2x^5. 4x^2

=(−2)*x5*4*x2

=−8*x7

=−8x7

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

Hope it helps

#stayhomestaysafemate

:D

The decision-maker is willing to pay a risk premium of $250 to eliminate the risk of lottery p', and a risk premium of $500 to eliminate the risk of lottery p?. Therefore, the decision-maker prefers lottery p?.

The decision-maker's utility function suggests that they have a logarithmic utility index, v(r) = In(2). To calculate the risk premia, we compare the expected utilities of the lotteries. For lottery p', the expected utility is E[v(p')] = (1/2) * v(-1000) + (1/2) * v(0) = (1/2) * In(2) + (1/2) * In(2) = In(2). For lottery p?, the expected utility is E[v(p?)] = v(-500) = In(2). Since both lotteries have the same expected utility, the decision-maker is indifferent between them in terms of expected utility.

However, the decision-maker is risk-averse, which means they prefer to eliminate risk when possible. To eliminate the risk of lottery p', the decision-maker is willing to pay a risk premium of $250 (which is half the difference between the potential losses of $1000 and $0). On the other hand, to eliminate the risk of lottery p?, the decision-maker is willing to pay a risk premium of $500 (the full potential loss amount).

Therefore, the decision-maker prefers lottery p? as they are willing to pay a higher risk premium to eliminate its risk.

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Answer:

A rate is a ratio comparing quantities of different items. A unit rate is a rate with 1 in the denominator. hope this helped!

Step-by-step explanation:

Line passing through AB is perpendicular. A pair of angles that are linear have an angle sum of 180 degrees. The lines are therefore shown to be perpendicular to one another because the angles are 90 degrees in size.

Two lines intersect to generate perpendicular lines, and the angle formed between the two lines must be 90 degrees (right angle).

Given,

Create another line perpendicular to AB passing through C on AB..

Line passing through AB is perpendicular.

Two lines are perpendicular if they cross at a point where a pair of linear congruent angles results. In a plane, a transversal is perpendicular to the other line if it is parallel to one of the two parallel lines.

A pair of angles that are linear have an angle sum of 180 degrees. The lines are therefore shown to be perpendicular to one another because the angles are 90 degrees in size. The linear pair perpendicular theorem is demonstrated by this.

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Answer:

Step-by-step explanation:

According to the given ratio the height of the plants is 7x and 9x.

The difference of heights is 26 cm:

a) The taller plant is:

b) Shorter plant is:

c) Their total height is:

a. The 3-period moving average forecasts for days 4 through 8 are: 6.00, 6.33, 7.33, 8.33, and 7.67, respectively.

b. The exponentially smoothed forecasts for days 4 through 8, with an alpha of 0.4, are: 6.00, 6.00, 6.60, 7.36, and 7.42, respectively.

c. Calculate the MAD for the 3-period moving average forecasts and compare it to the MAD for the exponential smoothing forecasts to determine which model is more accurate.

a. To forecast using a 3-period moving average model, we calculate the average of the last three days' bicycle victims and use it as the forecast for the next day. For example, the forecast for day 4 would be (6 + 8 + 4) / 3 = 6.00, rounded to two decimal places. Similarly, for day 5, the forecast would be (8 + 4 + 7) / 3 = 6.33, and so on until day 8.

b. To calculate exponentially smoothed forecasts, we start with a starting forecast equal to the actual data on day 3. Then, we use the formula: Forecast = α * Actual + (1 - α) * Previous Forecast. With an alpha value of 0.4, the forecast for day 4 would be 0.4 * 4 + 0.6 * 8 = 6.00, rounded to two decimal places. For subsequent days, we use the previous forecast in place of the actual data. For example, the forecast for day 5 would be 0.4 * 6 + 0.6 * 6.00 = 6.00, and so on.

c. To calculate the Mean Absolute Deviation (MAD) for the 3-period moving average forecasts, we find the absolute difference between the forecasted values and the actual data for days 4 through 7, sum them up, and divide by the number of forecasts. The MAD for this model can be compared to the MAD for the exponential smoothing forecasts for days 4 through 7, calculated using the same method. The model with the lower MAD value would be considered more accurate.

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