Rhombus STUV with vertices S(1, 1), T(4, 2), U(3, -1), and V(0, -2): k = 4
what are the new coordinates

Answer:\(-\frac{2}{3}\)

Step-by-step explanation: Search math w ay on the internet :)

Answer:

2/-3

Step-by-step explanation:

using rise/run we can can see that the slope rises 4 units and the run is -6 simplify to 2/-3

Answer:

2790×5=13950. ans=13950+93000=106950

Step-by-step explanation:

population increase rate per year =2790

then after 5 year population is 2790×5+93000=106950

Answer:

3√3

Step-by-step explanation:

no time to explain

Answer:

if you have the area (i'm assuming this is a square or rectangle) and one side, you can use division to find the other side

the formula for area is (side 1)(side 2) = area

so using this, divide the area by the side you do know, and you will get the unknown side

hope this helps!

Step-by-step explanation:

^

Answer:

12

Step-by-step explanation:

12 units....

perimeter is the total surface area of a certain object or shape... counting only the surfaced side of each square tat makes up this rectangle.... its perimeter is 12 units

Answer:

216

Step-by-step explanation:

Statistical methods designed for nominal data are not appropriate for interval level data, which involves meaningful differences between values.

The correct answer is (b) interval.

Nominal level of measurement is the lowest level of measurement that involves categorizing data into distinct groups or classes. Examples of nominal data include gender, race, religion, and marital status.

Statistical methods designed for nominal data include mode and frequency distribution. These methods are appropriate for nominal, ordinal, and interval data. However, it would not be appropriate to use them for ratio data, which involves the presence of a true zero point.

Therefore, option (d) is incorrect. Option (b) is the correct answer, as statistical methods designed for nominal data are not appropriate for interval level data, which involves meaningful differences between values.

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Complete Quetion:

If a statistic is designed for nominal level of measurement, then it would be appropriate to use that statistic on data at all these levels of measurement

a. ordinal.

b. interval.

c. ratio.

d. all of the answers are levels of measurement upon which it would be appropriate to use a statistic designed for nominal level.

The probability that the two smartest people will be in the same group is approximately 0.023 or 2.3%.

The probability of the two smartest people being in the same group can be calculated by considering the total number of possible ways the groups can be formed and the number of ways the two smartest people can be in the same group.

To find the total number of ways the groups can be formed, we can use the concept of combinations. In this case, we have 36 people in the class and we want to split them into 12 groups of 3. We can calculate the total number of ways the groups can be formed using the formula for combinations:

C(n, r) = n! / (r! * (n-r)!)

where n is the total number of people and r is the number of people in each group.

In our case, n = 36 and r = 3. Plugging these values into the formula, we get:

C(36, 3) = 36! / (3! * (36-3)!)

Simplifying this expression, we find that there are 7140 different ways to form the groups.

Now, let's calculate the number of ways the two smartest people can be in the same group. Since there are 12 groups and we want the two smartest people to be in the same group, we can treat them as a single unit. So, we need to calculate the number of ways to distribute the remaining 34 people into 11 groups of 3.

Using the same combination formula, we have:

C(34, 3) * C(11, 1) = (34! / (3! * (34-3)!) * (11! / (1! * (11-1)!))

Simplifying this expression, we find that there are 163,800 different ways to distribute the remaining people.

Now, to calculate the probability, we divide the number of ways the two smartest people can be in the same group by the total number of possible ways the groups can be formed:

Probability = (Number of ways the two smartest people in the same group) / (Total number of possible ways to form groups)

Probability = 163,800 / 7,140

Simplifying this expression, we find that the probability is approximately 0.023 or 2.3%.

Therefore, the probability that the two smartest people will be in the same group is approximately 0.023 or 2.3%.

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4a(a - b) + 3b(b - a)

= 4a² - 4ab + 3b² - 3ab

= 4a² - 4ab - 3ab + 3b²

= 4a² - 7ab + 3b²

= (a - b) (4a - 3b)

________

Hope it helps ⚜

Answer:

25 + 15 + 13 + 3 + 4 + 2 = 40 + 16 + 6 = 62

80-62=18

18 are left so 18 are not studying any languages.

Hope this helps

Step-by-step explanation:

There will be 16 business cards in total. Each of the 4 people exchanges cards with the other 3 people.

When Person A exchanges business cards with Person B, it results in 2 cards on the table. The same happens when Person A exchanges cards with Person C and Person D, resulting in a total of 6 cards. This process is repeated for Person B, Person C, and Person D, leading to a total of 6 cards exchanged by each person individually. Since there are 4 people, we multiply 6 by 4, resulting in 24 cards exchanged. However, we need to divide this number by 2 because each card is counted twice (once for each person exchanging). Thus, we have a total of 12 unique cards on the table. Adding the initial 4 cards placed by the individuals themselves gives us a final count of 16 business cards.

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Since the objective function value at (4,8) is greater than the objective function values at the other corner points, we can conclude that the point (4,8) is optimal and will maximize the profit.

Without knowing the specific profit formulas, it is impossible to determine which one will be maximized at the point (4,8). However, it is possible to determine if this point is feasible and optimal based on the constraints and objective function of the linear programming problem.

To determine feasibility, we need to check if the point (4,8) satisfies all the constraints of the problem. We can represent each constraint as an inequality and check if the point satisfies all of them:

2x + y ≤ 16: 2(4) + 8 = 16, so this constraint is satisfied.

x + y ≤ 10: 4 + 8 = 12, which is less than 10, so this constraint is also satisfied.

x ≥ 0, y ≥ 0: Both x and y are non-negative, so this constraint is satisfied as well.

Therefore, the point (4,8) is feasible since it satisfies all the constraints.

To determine optimality, we need to calculate the objective function value at the point (4,8) and compare it to the objective function values at the other corner points:

(0, 0): Profit = 0(0) + 0(0) = 0

(8, 0): Profit = 8(0) + 0(8) = 0

(0, 12): Profit = 0(12) + 3(0) = 0

(4, 8): Profit = 4(8) + 3(4) = 32

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The probability of drawing a red die from box A is 0, as box A only contains black dice. The probability of drawing a black die from box B is 0.5, or 50%. Since box B contains an equal number of black and red dice, the chances of drawing a black die are the same as drawing a red die.

To calculate the probability that the die was drawn from box A given that it is red, we can use Bayes' theorem. Let's denote the event of drawing from box A as A and the event of drawing a red die as R. We want to find P(A|R), the probability of drawing from box A given that the die is red. This can be calculated as P(A|R) = (P(R|A) * P(A)) / P(R), where P(R|A) is the probability of drawing a red die given that it is from box A, P(A) is the probability of drawing from box A, and P(R) is the overall probability of drawing a red die.

Since box A does not contain any red dice, P(R|A) is 0. Therefore, P(A|R) is also 0. On the other hand, the probability of drawing from box A given that the die is black can be calculated as P(A|B) = (P(B|A) * P(A)) / P(B), where P(B|A) is the probability of drawing a black die given that it is from box A, P(A) is the probability of drawing from box A, and P(B) is the overall probability of drawing a black die. Since box A contains only black dice and box B contains an equal number of black and red dice, P(B|A) is 1. Therefore, P(A|B) is 0.5, or 50%.

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When a result is statistically significant, it implies that it is improbable to have arisen by chance alone.

When we conclude that the results, we have gathered from our sample are probably also found in the population from which the sample was drawn, we say that the results are statistically significant.

What is statistical significance?

Statistical significance is the likelihood that a specific event or relationship between variables is not the result of chance. Statistical significance is used in quantitative research to establish whether experimental results are genuine or simply random occurrences.Statistical significance is a statistical concept that refers to whether or not a study's findings are the result of chance. In statistics, statistical significance is determined by the probability that a specific result may have occurred purely by chance.

When a result is statistically significant, it implies that it is improbable to have arisen by chance alone.

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Answer:

70 degrees

Step-by-step explanation:

Well as you can see the entire angle is 112° and if angle 1 is 42° then 112 - 42 = 70° which means that there are 70° left, whih is your answer.

The equation of the circle is (x + 7)^2 + (y + 5)^2 = 64.

The equation of a circle can be written in the form (x - h)^2 + (y - k)^2 = r^2, where (h, k) represents the center of the circle and r is the radius. Given that the center of the circle is (-7, -5) and the radius is 8, we can substitute these values into the equation: (x - (-7))^2 + (y - (-5))^2 = 8^2. Simplifying the equation, we get: (x + 7)^2 + (y + 5)^2 = 64. Therefore, the equation of the circle is (x + 7)^2 + (y + 5)^2 = 64.

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Step-by-step explanation:

15 - 5n = 2n + 1

Bringing like terms on one side

15 - 1 = 2n + 5n

14 = 7n

14/ 7 = n

2 = n

Answer:

Step-by-step explanation:

First distribute. 5•3 and 5•n.

This gives you 15-5n=2n+1

Next add 5n to both sides.

This will give you 15=7n+1

Then you will subtract 1 from both sides.

14=7n

Finally you divide by 7 so you can get n by itself.

Your answer will be 2=n

You can always go back and plug your answer in to see if it works!

Answer:

x=6

Step-by-step explanation:

In a square, its angles are all 90 degrees. So, cutting a square in half into two triangles from corner to corner produces 45 degree angles on both sides. Since the triangles are now 45-45-90 triangles, we can use the rule where the hypotenuse of the triangle is equal to the square root of 2 times the length of either side. So, the side length is 6.

A random selection of an Endure All battery has a 10.56% probability of lasting more than 550 hours.

The Z score is utilized to calculate how far the raw score deviates from the mean.

The Z score is calculated as follows:

z = (x - μ)/σ

Given that x > 550 and μ = 500, σ = 40:

z = 550 - 500 / 40

z = 1.25

Following the normal distribution chart,

P(z > 1.25) = 1 - P(z < 1.25)

P(z > 1.25) = 1 - 0.8944

P(z > 1.25) = 0.1056

Therefore, there is a 10.56% chance that a randomly chosen Endure All battery would survive longer than 550 hours.

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The p-value can be found with the F-distribution table or statistical software. If the p-value is less than or equal to α, then answer is option (a),If the p-value is greater than α, then answer is option (b).

To determine the correct statistical decision based on the given F-statistic, F (3, 12) = 2.72, we need additional information such as the significance level (α) of the hypothesis test. The significance level is a predetermined threshold that is used to assess the statistical significance of the results.

The correct decision depends on whether the calculated p-value, which quantifies the strength of evidence against the null hypothesis, is less than or equal to the significance level (α).

To find the p-value, you would need the F-distribution table or statistical software.

Once you have the p-value, you can compare it to the significance level (α) to make a decision:

If the p-value is less than or equal to α, you would reject the null hypothesis, indicating a statistically significant mean difference.

If the p-value is greater than α, you would fail to reject the null hypothesis, suggesting that there is not a statistically significant mean difference.

Therefore, without the significance level or the p-value, it is not possible to determine the correct statistical decision.

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Answer:i think its 115 degres

Step-by-step explanation:

Given that the initial height of the launcher was above ground, the function

created by the student should be transformed upwards.

Reasons:

The function created by the student = h(r), a model of the path of a T-shirt cannon

The part of the equation left out in the function = The initial height of the cannon

The given initial height of the cannon = 4 feet

Required:

The method of correcting the function to model the path of the T-shirt correctly

Solution:

Given that the function created by the student gives the height of the

cannon, and the initial height of the launcher is 4 feet above the ground

The initial function h(r) should be transformed 4 feet in the upward

direction.

The student should add 4 feet to the function by replacing h(r) with h(r) + 4, to account for the increase in all heights by 4 feet;

The correct option is; The student should replace h(r) with h(r) + 4

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Answer:

It appears that the solution you have provided is not a direct answer to the question "What is e=?". However, the statement you provided is a well-known concept in physics, where Einstein's famous equation E=mc² suggests that energy (E) and mass (m) are equivalent and interchangeable, and that they are two different manifestations of the same thing. The constant "c" in the equation represents the speed of light in a vacuum. This concept has had profound implications in the field of physics and has been used to develop nuclear energy and nuclear weapons.

Step-by-step explanation:

Here's a step-by-step explanation of Einstein's famous equation, E=mc²:

The equation E=mc² stands for "energy equals mass times the speed of light squared".

In physics, "energy" refers to the ability of a system to do work, and it is measured in joules (J).

"Mass" refers to the amount of matter in an object and is usually measured in kilograms (kg).

"c" represents the speed of light in a vacuum, which is approximately 299,792,458 meters per second (m/s).

The equation shows that energy and mass are equivalent and interchangeable. In other words, mass can be converted into energy, and energy can be converted into mass.

The conversion factor between mass and energy is the speed of light squared, which is an enormous number. This means that even a small amount of mass can produce a significant amount of energy when it is converted.

The equation has been used to explain a variety of phenomena, such as the energy released in nuclear reactions and the behavior of particles at high speeds.

It has also led to the development of nuclear energy and nuclear weapons, which rely on the conversion of mass into energy.

Overall, E=mc² is a fundamental equation in physics that has had a profound impact on our understanding of the universe and our ability to harness its energy.

There are nC2 different votes possible, where n is the number of bands on the list and nC2 represents the number of ways to choose 2 bands out of n.

To calculate nC2, we can use the formula for combinations, which is given by n! / (2! * (n-2)!), where ! represents factorial.

Let's say there are m bands on the list. The number of ways to choose 2 bands out of m can be calculated as m! / (2! * (m-2)!). Simplifying this expression further, we get m * (m-1) / 2.

Therefore, the number of different votes possible is m * (m-1) / 2.

In the given scenario, we don't have the specific number of bands on the list, so we cannot provide an exact number of different votes. However, you can calculate it by substituting the appropriate value of m into the formula m * (m-1) / 2.

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Using the binomial distribution, it is found that:

3.1 There is a 0.5033 = 50.33% probability that he makes at most one sale.

3.2 There is a 0.8322 = 83.22% probability that he makes at least one sale.

3.3. There is a 0.4404 = 44.04% probability that he makes two or three sales.

3.4. There is a 0.0011 = 0.11% probability that he makes six sales.

The formula is:

\(P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}\)

\(C_{n,x} = \frac{n!}{x!(n-x)!}\)

The parameters are:

In this problem:

Item 1:

The probability that he makes at most one sale is:

\(P(X \leq 1) = P(X = 0) + P(X = 1)\)

Then:

\(P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}\)

\(P(X = 0) = C_{8,0}.(0.2)^{0}.(0.8)^{8} = 0.1678\)

\(P(X = 1) = C_{8,1}.(0.2)^{1}.(0.8)^{7} = 0.3355\)

Then:

\(P(X \leq 1) = P(X = 0) + P(X = 1) = 0.1678 + 0.3355 = 0.5033\)

There is a 0.5033 = 50.33% probability that he makes at most one sale.

Item 2:

The probability that he makes at least one sale is:

P(X > 1) = 1 - P(X = 0) = 1 - 0.1678 = 0.8322.

There is a 0.8322 = 83.22% probability that he makes at least one sale.

Item 3:

The probability that he makes two or three sales is given by:

\(P(2 \leq X \leq 3) = P(X = 2) + P(X = 3)\)

In which:

\(P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}\)

\(P(X = 2) = C_{8,2}.(0.2)^{2}.(0.8)^{6} = 0.2936\)

\(P(X = 3) = C_{8,1}.(0.2)^{3}.(0.8)^{5} = 0.1468\)

Then:

\(P(2 \leq X \leq 3) = P(X = 2) + P(X = 3) = 0.2936 + 0.1468 = 0.4404\)

There is a 0.4404 = 44.04% probability that he makes two or three sales.

Item 4:

The probability that he makes six sales is P(X = 6), hence:

\(P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}\)

\(P(X = 6) = C_{8,6}.(0.2)^{6}.(0.8)^{2} = 0.0011\)

There is a 0.0011 = 0.11% probability that he makes six sales.

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Job hopping can provide both advantages and challenges for employers and employees. Employers benefit from fresh perspectives and adaptability but face higher recruitment costs and decreased loyalty. Employees can develop their skills and expand their networks but may experience a lack of job security and face negative perceptions in the job market.

The advantages and challenges of job hopping from the employers and employees perspective are as follows,

For employers,
Advantages include,
1. Fresh perspectives: Hiring employees with diverse experiences can bring new ideas and innovative thinking to the company.
2. Adaptability: Job hoppers tend to be adaptable, as they have been exposed to various work environments and have learned to quickly adjust to new situations.
Challenges include,
1. Recruitment costs: Frequent job hoppers may increase recruitment and onboarding costs, as the company needs to invest time and resources in finding and training new employees.
2. Decreased loyalty: Employees who change jobs often may be less loyal and committed to the company, as they may always be looking for new opportunities.

For employees,
Advantages include,
1. Skill development: Job hopping allows employees to gain diverse experiences and develop a broad range of skills, making them more marketable in the job market.
2. Networking opportunities: By working in different companies, job hoppers can expand their professional networks, which may open up future opportunities.
Challenges include,
1. Lack of job security: Constantly changing jobs may create a sense of instability and uncertainty for employees, as they may not have long-term job security.
2. Negative perception: Some employers may view frequent job changes as a sign of unreliability or lack of commitment, making it more difficult for job hoppers to secure new positions.

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