Mason made his father a quilt. the width is 9
4 5 ft and the length is 5 3 4 ft. what is the area of the quilt? solve on paper. then check your work on zearn.

Answer: 61 degrees

Step-by-step explanation:

1. 37+82=119 Add known angles together

2. Subtract from 180 (total of all angles in a triangle 180-119=61

3. Answer: 61 degrees  

Answer:

c =

Step-by-step explanation

-2ccc -73 + 73 = -89 + 73

-2ccc = -16

-ccc = -8

ccc = 8

c = √√8 = 2

Answer:

Step-by-step explanation:

[tex]\sf -2c-73=-89[/tex]

Add 73 to both sides:-

[tex]\sf -2c-73+73=-89+73[/tex]

[tex]\sf -2c=-16[/tex]

Divide both sides by -2:-

[tex]\sf \cfrac{-2c}{-2}=\cfrac{-16}{-2}[/tex]

[tex]\sf c=8[/tex]

*✧･ﾟ: *✧･ﾟ:

Hope this helps!

The statement is false. The existence of a scalar α such that αv is an eigenvector of a does not imply that v itself is an eigenvector of a.

A group of numbers built up in a rectangular array with rows and columns. The elements, or entries, of the matrix are the integers. In addition to numerous mathematical disciplines, matrices find extensive use in the fields of engineering, physics, economics, and statistics.

The statement is false. An eigenvector is a non-zero vector that, when multiplied by a matrix, produces a scalar multiple of itself. In other words, if v is an eigenvector of a matrix A, then Av = λv, where λ is the corresponding eigenvalue.

The statement suggests that if a is an nn matrix (presumably an n x n matrix), and a scalar α exists such that αv is an eigenvector of a, then v must also be an eigenvector of a. However, this is not necessarily true.

Let's consider a counterexample to demonstrate this. Suppose we have the 2x2 identity matrix I:

I = [[1, 0],

    [0, 1]]

In this case, any non-zero vector v will satisfy the condition αv = v for α = 1. However, not all non-zero vectors v are eigenvectors of I. In fact, the only eigenvectors of I are [1, 0] and [0, 1] with corresponding eigenvalues of 1.

Therefore, the statement is false. The existence of a scalar α such that αv is an eigenvector of a does not imply that v itself is an eigenvector of a.

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We cannot calculate the quick ratio for 2017 as the given data does not contain the balance sheet for 2017. However, we can calculate the quick ratio for 2021 using the given information. The quick ratio for 2021 is 1.54.

Quick ratio is a liquidity ratio that calculates a firm's ability to pay off its current liabilities with quick assets. Quick assets are the liquid assets that can be easily converted into cash within 90 days.

Quick ratio formula:

Quick ratio = (Current assets - Inventories) / Current liabilities

In the given information, we have the following details for the year 2021: Current assets = Cash + Accounts receivable + Inventory = 280 + 940 + 1725 = $2945 million

Current liabilities = Accounts payable = $1435 million

Inventory = $1725 million

Therefore, Quick ratio = (2945 - 1725) / 1435= 1.54 Hence, the quick ratio for 2021 is 1.54.

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In the given capacitor combination, all capacitors have a capacitance of 2 mF. When connected to a 12 V battery, the charge on capacitor C1 can be determined, and the voltage across capacitor C4 can be calculated.

In a series combination of capacitors, the charge on each capacitor is the same. Therefore, the charge on capacitor C1 will be the same as the total charge in the circuit. The charge on a capacitor can be calculated using the formula Q = CV, where Q is the charge, C is the capacitance, and V is the voltage. In this case, since all capacitors have the same capacitance of 2 mF, the charge on C1 will be equal to the charge on the other capacitors.

To find the voltage across capacitor C4, we need to consider the fact that capacitors in series share the same charge. The voltage across each capacitor in a series combination can be calculated using the formula V = Q/C, where V is the voltage, Q is the charge, and C is the capacitance. Since the charge is the same for all capacitors in the series combination, the voltage across C4 will be equal to the voltage across the other capacitors in the circuit.

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Answer:

To find the measure of angle POQ (m/POQ), we need more information about the triangle or the circle. The given information about OP = 7 and the length of PQ = 7 is not sufficient to determine the measure of angle POQ. Can you provide any additional details or measurements?

Step-by-step explanation:

The tree is closer to the slide than the swing by 1 meters

From the question, we have the following parameters that can be used in our computation:

Convert to meters

So, we have:

5 is smaller than 6 by 1

This means that the tree is closer to the slide than the swing by 1 meters

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We cannοt use "p" tο estimate "p-hat." Instead, we use "p-hat" tο estimate "p." sο The statement is false.

Sample statistics refer tο the measures οr characteristics calculated frοm a sample οf data. These statistics are used tο estimate οr infer infοrmatiοn abοut the cοrrespοnding pοpulatiοn parameters. Cοmmοn sample statistics include the sample mean, sample variance, sample prοpοrtiοn, and sample standard deviatiοn, amοng οthers.

In statistical inference, we use sample statistics tο estimate pοpulatiοn parameters. The parameter being estimated is denοted by "p," and the cοrrespοnding sample statistic is denοted by "p-hat." Hοwever, "p-hat" is used tο estimate "p," nοt the οther way arοund.

In οther wοrds, "p-hat" is the sample prοpοrtiοn οr percentage, which is calculated frοm the sample data. It prοvides an estimate οf the true pοpulatiοn prοpοrtiοn "p." The sample is used tο infer infοrmatiοn abοut the pοpulatiοn, nοt vice versa.

Therefοre, we cannοt use "p" tο estimate "p-hat." Instead, we use "p-hat" tο estimate "p."

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Complete Question

Since sample statistics estimate the population parameter, we can use p to estimate p-hat. The statement is true or false ?

When Yolanda has chewed, moistened, and mixed the peanut butter and jelly sandwich bite with her saliva, it is called a "bolus".

Given that, Yolanda is eating a peanut butter and jelly sandwich for lunch. She has taken a bite of the sandwich and begun chewing the sticky sandwich. Once the bite of sandwich has been chewed, moistened, and mixed with saliva, it is called a bolus. A bolus is defined as a small rounded mass of a substance, especially of chewed food at the moment of swallowing. So, Yolanda's chewed and moistened peanut butter and jelly sandwich has now become a bolus in her mouth.When Yolanda has chewed, moistened, and mixed the peanut butter and jelly sandwich bite with her saliva, it is called a "bolus."

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With 98% confidence, we estimate that the population standard deviation of the number of chocolate chips in all cookies lies within the range of 0.2 to 0.4

To construct a confidence interval estimate of the standard deviation of the number of chocolate chips in all cookies, we can use the chi-square distribution. Since the sample is large and the number of chocolate chips is assumed to be normally distributed, we can apply the chi-square distribution to estimate the population variance and standard deviation.

Given:

Sample size (n) = 50

[tex]Sample mean (x) = 22.43[/tex]

Sample standard deviation (s) = 2.14

To find the confidence interval for the population variance, we can use the chi-square distribution with (n - 1) degrees of freedom. For a 98% confidence level, the critical values for the chi-square distribution are 25.9875 (lower tail) and 75.913 (upper tail). Using these critical values, the confidence interval for the population variance is approximately (s² / upper bound, [tex]s^2[/tex] / lower bound) or [tex](2.14^2 / 75.913, 2.14^2 / 25.9875)[/tex] which simplifies to (0.060, 0.152).

To find the confidence interval for the standard deviation, we take the square root of the values in the confidence interval for the variance. Therefore, the confidence interval for the standard deviation is approximately (√0.060, √0.152) or (0.245, 0.390) rounded to the tenths place.

Therefore, with 98% confidence, we estimate that the population standard deviation of the number of chocolate chips in all cookies lies within the range of 0.2 to 0.4.  

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The composite method for determining the location of the center of gravity of a composite body requires integration.

So, the answer is A.

The center of gravity is the point at which the entire weight of a body appears to act when the body is in equilibrium.

The concept of a center of gravity is used to calculate the behavior of a body when subjected to external forces. The composite method for determining the location of the center of gravity of a composite body involves integration.

The center of gravity is found by dividing the sum of the products of individual masses with their corresponding distance from an arbitrary reference line by the total mass of the system. When there is more than one weight distribution involved, the composite method is employed.

Hence, the answer of the question is A.

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Answer:

y = 6

Step-by-step explanation:

To solve for y, we need to divide both sides by -3:

-3y = -18

Clear the minuses:

3y = 18

Divide by 3.

y = 6

Hence, y = 6.

The distance between the final positions of the two people is 13 meters. So, the correct answer is option 2.

To find the distance between the final positions of the two people, we can use the Pythagorean theorem, which states that in a right triangle, the square of the hypotenuse (the side opposite the right angle) is equal to the sum of the squares of the other two sides.

In this case, one person walks 5 meters to the east, and the other person walks 12 meters to the north. This forms a right triangle, with the person who walked to the east representing the horizontal leg of the triangle and the person who walked to the north representing the vertical leg of the triangle.

Using the Pythagorean theorem, we can calculate the distance between the final positions as follows:

[tex]Distance^2 = (5^2) + (12^2)\\Distance^2 = 25 + 144\\Distance^2 = 169[/tex]

Taking the square root of both sides, we find:

Distance = √169

Distance = 13

Therefore, the distance between the final positions of the two people is 13 meters. So, the correct answer is option 2.

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It takes skilled persuasion techniques to get most businesses to make adjustments promptly can be considered true.

In the business world, decision-making processes can be complex and involve various stakeholders with different interests and priorities. When it comes to making adjustments or changes within a business, it often requires convincing and influencing these stakeholders to adopt new strategies, methods, or practices.

Skilled persuasion techniques can play a crucial role in effectively communicating the benefits, rationale, and potential positive outcomes of the proposed adjustments. Persuasion techniques such as effective communication, presenting compelling evidence, highlighting the advantages, addressing potential concerns, and building consensus can help in gaining support and cooperation from key decision-makers and individuals within the organization.

Without employing persuasive techniques, it can be challenging to prompt businesses to make adjustments promptly. Business leaders and employees may be resistant to change, have competing priorities, or lack a clear understanding of the benefits and implications of the proposed adjustments. Skilled persuasion techniques, when applied appropriately, can help overcome these barriers and facilitate prompt decision-making and implementation of necessary adjustments within the business.

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The 2nd graph is the line of best fit for the graph in this problem.

Here,

We have,

For a data-set, the definition of a residual is that it is the difference of the actual output value by the predicted output value, that is:

Residual = Observed - Predicted.

Hence the graph of the line of best fit should have the smallest possible residual values, meaning that the points on the scatter plot are the closest possible to the line.

For this problem, we have that the 2nd graph has the smaller residuals, hence it shows the line of best fit for the data.

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The thoracic section of the spinal column is located in the upper back region and consists of 12 vertebrae that are connected to the 12 pairs of ribs. These ribs help protect vital organs such as the heart and lungs, and also play a role in breathing C thoracic.

Each pair of ribs is attached to a specific vertebra in the thoracic section of the spinal column. The top seven pairs of ribs are called true ribs because they attach directly to the sternum, or breastbone.

The next three pairs of ribs are called false ribs because they attach indirectly to the sternum through the cartilage of the seventh rib. The last two pairs of ribs are called floating ribs because they do not attach to the sternum at all, but instead end in the muscle tissue of the back.

The thoracic section of the spinal column also plays a crucial role in maintaining posture and supporting the weight of the upper body. When the thoracic vertebrae are aligned properly, the rib cage can expand and contract with each breath, allowing the lungs to function properly.

In conclusion, the 12 pairs of ribs attach to the thoracic section of the spinal column. This connection plays an important role in protecting vital organs, facilitating breathing, and maintaining proper posture.

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The official poverty line of the United States, developed by Mollie Orshansky, is a measure used to determine the number and percentage of people living in poverty in the country. It sets a threshold income level below which individuals or families are considered to be in poverty.

The official poverty line of the United States was established by Mollie Orshansky in the 1960s. It is calculated based on a threshold income level that varies depending on the size and composition of a household. If a household's income falls below the threshold, they are considered to be living in poverty.

One reason the official poverty line is considered a good way to measure poverty is that it provides a standardized and consistent measure that allows for comparisons over time and across different regions. By using a specific income threshold, it allows policymakers, researchers, and organizations to track changes in poverty rates and develop targeted interventions to address poverty-related issues. It also enables the assessment of poverty trends and the evaluation of the effectiveness of anti-poverty programs.

While the official poverty line has its limitations, such as not accounting for regional variations in the cost of living or considering other factors like access to healthcare or education, it remains an important tool in understanding and addressing poverty in the United States.

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The days of supply for Coca-Cola in 2018 was approximately 30.9 days. To calculate the days of supply, we divide the inventory value by the average daily sales.

First, we need to determine the average daily sales by dividing the annual sales by the number of days in a year. Average Daily Sales = Annual Sales / Number of Days in a Year. Average Daily Sales = $31.856 billion / 365 days ≈ $87.3 million. Next, we calculate the days of supply by dividing the inventory value by the average daily sales. Days of Supply = Inventory Value / Average Daily Sales. Days of Supply = $2.766 billion / $87.3 million ≈ 31.7 days . Rounding to one decimal place, we find that the days of supply for Coca-Cola in 2018 was approximately 30.9 days. This means that based on the inventory level and average daily sales, Coca-Cola had enough inventory to meet its sales demand for around 30.9 days.

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The attenuated oral poliovirus vaccine (OPV) is no longer administered in the U.S.A. due to its potential to be spread to contacts and occasionally cause poliomyelitis.

The decision to discontinue the use of the attenuated oral poliovirus vaccine (OPV) in the U.S.A. was primarily based on concerns regarding its safety and efficacy. While the OPV was effective in providing immunity against poliovirus, it had some drawbacks that led to its discontinuation.

One of the major concerns with OPV was its ability to be spread to contacts. OPV contains live but weakened poliovirus strains, which can be shed in the stool of vaccinated individuals. In rare cases, these weakened strains can revert to a virulent form and cause poliomyelitis in contacts who come into contact with the virus through contaminated feces.

Additionally, the OPV has a small risk of causing poliomyelitis itself, although this risk is extremely rare. The weakened strains in the vaccine have a very low potential to cause disease, but in rare instances, they can regain their ability to cause paralysis.

To address these concerns, countries like the U.S.A. have shifted to using the inactivated poliovirus vaccine (IPV), which does not carry the risk of vaccine-derived poliovirus cases or transmission to contacts. IPV is a safer alternative that provides effective protection against poliovirus without the potential risks associated with OPV.

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The symptom, which is both observable and measurable, represents only a fraction of the true problem, typically around (1)% of it, while the majority, (2)% of the problem, is neither typically observable nor clearly understood. We call this the (3) "iceberg principle" or the "tip of the iceberg" principle.

What is iceberg principle?

The iceberg principle suggests that what is visible on the surface, or the symptoms, is just a small portion of a larger, underlying issue. It implies that decision makers should not focus solely on the observable symptoms but instead delve deeper to understand the root causes and hidden complexities that lie beneath. By addressing the underlying causes, decision makers can effectively tackle the true problem rather than merely treating the symptoms.

1. Symptom versus the true problem: Symptoms are usually the noticeable indicators of an issue or challenge. They are observable, quantifiable, and often prompt immediate attention. However, they only represent a small fraction (around 1%) of the actual problem. Addressing symptoms alone may provide temporary relief but does not address the underlying issues causing those symptoms.

2. Unobservable and unclearly understood aspects: The majority (around 99%) of the problem lies beneath the surface and is not readily apparent. These aspects are often complex, interconnected, and not easily measured or understood. They may involve underlying causes, systemic issues, or broader contextual factors. Uncovering and comprehending these hidden elements is crucial for effective problem-solving and decision-making.

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Mayer is not highest paid CEO in United-States, but her position suggests that more women are breaking through the glass-ceiling in corporate leadership positions.

Marissa Mayer's appointment as the CEO of Yahoo in 2012 was significant in terms of gender representation in top executive roles.

While she may not have been highest paid CEO in United States, her position as a female CEO of a prominent technology company garnered attention and signaled progress in terms of gender diversity and opportunities for women in leadership positions.

The glass-ceiling is invisible barriers and prejudices which prevent women and other underrepresented groups from advancing to senior leadership positions in organizations.

Mayer's appointment demonstrated that highly qualified and capable women can indeed reach the pinnacle of corporate leadership, challenging traditional gender-stereotypes and paving the way for more women to pursue and achieve similar roles.

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Companies that focus on specific product categories and employ aggressive and competitive pricing strategies to acquire a significant market share through everyday low price are often referred to as "category killers."

Category killers are companies that specialize in a specific product category and aim to dominate that particular market segment. They differentiate themselves by offering a wide range of products within the category and employing aggressive pricing strategies to attract customers and gain a significant market share. These companies often adopt a low-cost business model, leveraging economies of scale and operational efficiencies to maintain competitive pricing.

By focusing on a specific product category, category killers can become experts in that area and offer a comprehensive selection of products, often at lower prices than their competitors. They strive to create a one-stop shopping experience for customers looking for products within that category.

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Answer:

to show the changes in private school enrollment

Answer:  D. YZV

Step-by-step explanation:

D is the answer because it’s literally the same angle as XYW, but the line segments are on a larger scale. So for example, if they asked you to find the congruent angle of WXY, it’d be VXY for the same reason I just explained. This pretty much works for any two shapes, as long as they are exactly the same.

Hope this helps :D

Answer:

192 unique pizzas

Step-by-step explanation:

To determine the number of unique pizzas that can be made given the options provided, we need to multiply the number of choices for each category.

Number of crust options: 4

Number of meat topping options: 6

Number of vegetable options: 8

Since you can choose one crust, one meat topping, and one vegetable for each pizza, we can calculate the total number of unique pizzas by multiplying the number of choices in each category:

Total number of unique pizzas = Number of crust options * Number of meat topping options * Number of vegetable options

Total number of unique pizzas = 4 * 6 * 8

Total number of unique pizzas = 192

Therefore, there are 192 unique pizzas that can be made by choosing one crust, one meat topping, and one vegetable from the given options.

The correct answer for the statement mass production focuses on producing given by option c) a limited variety of products.

Mass production is a manufacturing approach that aims to produce a large quantity of standardized products.

It focuses on the efficient production of a limited range of products, typically in large quantities.

This approach allows for economies of scale, streamlined processes, and cost-effective production methods.

The emphasis is on producing a high volume of identical or similar products rather than customized or specialized items.

Therefore, the focus of mass production in production is represented by option c. a limited variety of products.

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(a) the Riemann sum using left endpoints and n equals 4 is L₄ = 1620.

(b) the Riemann sum using right endpoints and n equals 4 is R₄ = 2916.

What is riemann sum?

A Riemann sum is a method used in calculus to approximate the area under a curve or the value of an integral. It involves dividing the region under the curve into smaller subintervals and approximating the area of each subinterval using a specific rule.

To find the Riemann sum using left endpoints and n equals 4, we need to divide the interval [2, 14] into four equal subintervals. The width of each subinterval, denoted as Δx, is calculated as (b - a) / n, where b is the upper limit (14) and a is the lower limit (2).

So, Δx = (14 - 2) / 4 = 12 / 4 = 3.

Now, we evaluate the function at the left endpoint of each subinterval and multiply it by the width (Δx).

The left endpoints for n = 4 are: x₀ = 2, x₁ = 5, x₂ = 8, x₃ = 11.

The Riemann sum using left endpoints is given by:

L₄ = f(x₀) Δx + f(x₁) Δx + f(x₂) Δx + f(x₃) Δx.

Now, let's substitute the given function f(x) = 2x² + 4x + 2 into the Riemann sum equation:

L₄ = (2x₀² + 4x₀ + 2) Δx + (2x₁² + 4x₁ + 2) Δx + (2x₂² + 4x₂ + 2) Δx + (2x₃² + 4x₃ + 2) Δx.

L₄ = (2(2)² + 4(2) + 2) (3) + (2(5)² + 4(5) + 2) (3) + (2(8)² + 4(8) + 2) (3) + (2(11)² + 4(11) + 2) (3).

L₄ = (8 + 8 + 2) (3) + (50 + 20 + 2) (3) + (128 + 32 + 2) (3) + (242 + 44 + 2) (3).

L₄ = (18)(3) + (72)(3) + (162)(3) + (288)(3).

L₄ = 54 + 216 + 486 + 864.

L₄ = 1620.

Therefore, the Riemann sum using left endpoints and n equals 4 is L₄ = 1620.

To find the Riemann sum using right endpoints and n equals 4, the process is similar. However, this time we evaluate the function at the right endpoint of each subinterval.

The right endpoints for n = 4 are: x₁ = 5, x₂ = 8, x₃ = 11, x₄ = 14.

The Riemann sum using right endpoints is given by:

R₄ = f(x₁) Δx + f(x₂) Δx + f(x₃) Δx + f(x₄) Δx.

Substituting the function into the Riemann sum equation:

R₄ = (2x₁² + 4x₁ + 2) Δx + (2x₂² + 4x₂ + 2) Δx + (2x₃² + 4x₃ + 2) Δx + (2x₄² + 4x₄ + 2) Δx.

R₄ = (2(5)² + 4(5) + 2) (3) + (2(8)² + 4(8) + 2) (3) + (2(11)² + 4(11) + 2) (3) + (2(14)² + 4(14) + 2) (3).

R₄ = (50 + 20 + 2) (3) + (128 + 32 + 2) (3) + (242 + 44 + 2) (3) + (392 + 56 + 2) (3).

R₄ = (72)(3) + (162)(3) + (288)(3) + (450)(3).

R₄ = 216 + 486 + 864 + 1350.

R₄ = 2916.

Therefore, the Riemann sum using right endpoints and n equals 4 is R₄ = 2916.

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Answer:

Step-by-step explanation: