Aden spent $10 on a mug and then sold it, making 20% profit, how much did he sell the mug for

Answer:

I think your question is incorrect

Answer:

16+56a^2+49a^4

Answer:

It is profit.

Step-by-step explanation:

Cp (Cost price) - Rs.12

Sp (Sold price) - Rs.576

Profit- Rs.564

Rs. 576

Rs. - 12

564

Answer:

Step-by-step explanation:

Given:

4 dozens erasers for Rs. 12 per piece

We know,

1 dozen =12 pieces

So,4 dozens= 4*12= 48 pieces

So, Total cost price =48*12=576

Here, by question sold price of erasers =576

So, There is no profit or loss for the buyer.

The probability that a day in early March in upstate New York will have either rain or snow can be calculated as 0.28 or 0.26, depending on whether the probabilities of rain and snow are considered to be mutually exclusive or not. The correct answer is D) 0.26.

To arrive at this answer, we first need to understand that the probabilities of rain and snow are not mutually exclusive, meaning that it can rain and snow on the same day. Therefore, we cannot simply add the probabilities of rain and snow to get the total probability of either one occurring. Instead, we need to use the formula for the union of two events:

P(A or B) = P(A) + P(B) - P(A and B)

In this case, A represents the event of rain and B represents the event of snow. We are given that P(A) = 0.12, P(B) = 0.18, and P(A and B) = 0.04. Plugging these values into the formula, we get:

P(rain or snow) = 0.12 + 0.18 - 0.04 = 0.26

Therefore, the probability that a day in early March in upstate New York will have either rain or snow is 0.26.

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Answer:

75 hope it helps you

thank you

1.9/10. 2.22 3.64. 4.3.15. 5.160. 6.81

Given expression is  \(x⁵/⁹\).

Recall to write the nth root of a number, we have to type root(n).

For example, to get\(³√4x\), type "\(root(3)(4x)\)".

We can write the expression x⁵/⁹ as follows:

\($$\frac{x^5}{9}$$\)

Let's rewrite the expression as:

\($$\frac{x}{\sqrt[9]{9}}^5$$\)

Let's write the nth root of a number by typing root(n).

Therefore, the final answer becomes:

\($$\frac{x}{root(9)(9)}^5$$\)

Therefore, the given expression in radical form is   \(\frac{x}{root(9)(9)}^5\)

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Step-by-step explanation:

the distance between 2 points is the Hypotenuse of a right-angled triangle with the legs being the x coordinate difference and the y coordinate difference.

so, Pythagoras applies.

c² = a² + b²

distance² = (2 - -7)² + (11 - 9)² = 9² + 2² = 81 + 4 = 85

distance = sqrt(85) = 9.219544457... ≈ 9.2

The distance between the points A(2,11) and B(−7,9) is d = √85.

There are two points (a, b) and (c, d) then the distance between two points is

d= √(c -a)² + (d-b)²

We have the points A(2, 11) and B(-7, 9).

Using the Distance Formula

d = √(-7-2)² + (9-11)²

d= √(-9)² + (-2)²

d= √81 + 4

d = √85

Thus, the distance between points is √85 unit.

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Answer: The correct answer is Yes, the relationship between x and y is a non-linear function.

I hope this helps.

Step-by-step explanation:

Given the table

Edge Length, x            Surface Area, y

1                                             6

2                                            24

3                                            54

4                                             96

The table values clearly represent a function, because each input value has one and only one output value. i.e. there is no repetition of x values.

Also from the table values and the graph, it is clear that the function is not a linear function, because the graph is not a straight line. Also, In a cubic function, the highest power over the x variable(s) is 3. So, it is not a linear function.

Hence, we conclude that Yes, the relationship between x and y is a non-linear function.

Therefore, the 'last option' is correct.

The values of A and k in the model are A = 1 and k = ln(4) / 3, respectively.

To model the population growth of Gremlins over time, we'll use the exponential growth model p(t) = A * e^(kt), where p(t) represents the population at time t, A is the initial population, k is the growth rate, and e is the base of the natural logarithm.

Given that initially there is 1 Gremlin and after 3 days there are 4 Gremlins, we can set up the following equations:

p(0) = A * e^(k*0) = 1,

p(3) = A * e^(k*3) = 4.

From the first equation, we have A * e^0 = 1, which simplifies to A = 1.

Substituting A = 1 into the second equation, we get e^(3k) = 4.

To solve for k, we can take the natural logarithm of both sides:

ln(e^(3k)) = ln(4).

Using the property of logarithms, the exponent 3k can be brought down:

3k * ln(e) = ln(4).

Since ln(e) = 1, the equation becomes:

3k = ln(4).

Dividing both sides by 3, we find:

k = ln(4) / 3.

Therefore, the model p(t) = A * e^(kt) describing the population of Gremlins after t days is:

p(t) = e^(ln(4)/3 * t).

Simplifying further, we have:

p(t) = e^((1/3) * ln(4) * t).

Thus, the values of A and k in the model are A = 1 and k = ln(4) / 3, respectively.

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Answer:

18 kilometres

Step-by-step explanation:

Speed of the car is 72 kilometres per hour

means the car runs 72 kilometers within 60 minutes

so, the car will travel in 15 mins,

72×15/60

= 72/4 = 18 kilometres

Answer: ok i kown

Step-by-step explanation:

i kown

Step-by-step explanation:

\(( - \frac{3}{5} ) \times ( - 15) = \\ = \frac{3}{5} \times 15 = \\ = 3 \times 3 = 9\)

Answer:

width < 13

Step-by-step explanation:

let width of the rectangle = x

length = 8 + 2x

according to the question,

8+2x < 34

2x < 34-8

2x < 26

x < 13

Answer:

35 different combinations

Step-by-step explanation:

This would be a combination because the same person cannot get all three medals so permutation is not the correct way to calculate this. We use the formula C(n,r)=(nr)=n!(r!(n−r)!)=? where n is the number of total objects and r is the number of objects taken from the total.

brainliest pls . . . uwu

Answer:

160

Step-by-step explanation:

x = original price

x+ 25% x = 200

Change to decimal form

x + .25x = 200

1.25x = 200

Divide each side by 1.25

x = 200/1.25

x =160

The original price was 160

State feedback controllers with integral control are useful for reducing or eliminating steady-state errors in a system. The following is a step-by-step process for designing a state feedback controller with integral control:Problem 4 Consider the plant with the following state-space representation.

0⎡⎣x˙x⎤⎦=[0−4.4−20.6]⎡⎣xu⎤⎦y=[10]Part (a)To get a 5% overshoot and 2-second settling time, we design a state feedback controller without integral control. The first step is to check the controllability and observability of the system.The rank of the controllability matrix is 2, which is equal to the number of states, indicating that the system is controllable. The system is also observable since the rank of the observability matrix is 2.

The poles of the closed-loop system can now be placed using Ackermann's formula or the coefficient matching method. Ackermann's formula is used in this example. The poles are located at -5 ± 4.83i.K = acker(A,B,[-5-4.83j,-5+4.83j])The gain matrix is calculated as:K = [4.4000 10.6000]The steady-state error for a unit step input is calculated using the following equation:ess=1+ C(A - BK)-¹Bwhere C = [1 0] and D = 0. The steady-state error for a unit step input is found to be 0.Part (b)To reduce the steady-state error to zero, integral control is added to the system. The augmented system's state vector is [x xₐ]

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The electric potential, V, is 73.63 N and the magnitude of the electric field is 12.00 V/m.

The given electric potential is,V=2xy²z³+3ln(x²+2y²+3z²) N

The components of the electric field can be found as follows,

E=-∇V=- (∂V/∂x) i - (∂V/∂y) j - (∂V/∂z) k

(a) To determine the potential at P(3, 2, -1), substitute x=3, y=2, and z=-1 in the given potential,

V=2(3)(2²)(-1)³ + 3 ln [(3)²+2(2)²+3(-1)²]= 72.32 N

(b) The magnitude of the potential is given by,

|V|= √ (Vx²+Vy²+Vz²)

The electric potential, V, is a scalar quantity. Its magnitude is always positive. Therefore,

|V|= √ [(2xy²z³)² + (3ln(x²+2y²+3z²))²]= √ [(-72)² + (16.32)²]= 73.63 N

(c) To determine the electric field E at P(3,2,-1), find the partial derivatives of V with respect to x, y, and z, and then substitute x=3, y=2, and z=-1 to obtain Ex, Ey, and Ez.

Ex = -(∂V/∂x)= -2y²z³/(x²+2y²+3z²) = -4.8 V/m

Ey = -(∂V/∂y)= -4xyz³/(x²+2y²+3z²) = -10.67 V/m

Ez = -(∂V/∂z)= -6xyz²/(x²+2y²+3z²) = 5.33 V/m

Therefore, the electric field E at P(3,2,-1) is, E=Exi+Eyj+Ezk=-4.8 i - 10.67 j + 5.33 k

(d) The magnitude of the electric field is given by,

|E|= √ (Ex²+Ey²+Ez²)= √ [(4.8)²+(10.67)²+(5.33)²]= 12.00 V/m

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Answer:

a

Step-by-step explanation:

hope this helped mark me brainlest pls

Answer:

two fifths plus four tenth

Step-by-step explanation:

Answer:

2+2 =22. ‍♀️ ................

Answer: 3mph

Step-by-step explanation:

Speed is calculated as Distance/Time.

Igor's distance = Speed × Time

= 6 × 2

= 12m

Since they ran same distance, Sally also ran 12m

Sally's speed = Distance/Time

where,

Distance = 12m

Time = 4 hours

Average speed = 12/4 = 3mph

The number of ways cans a president, vice president, and secretary be chosen from a committee of 9 people, assuming one person cannot hold more than one position, is 84.

A combination is a choice of items from a group of different items, where the order of the choices is irrelevant.

Given:

A president, vice president, and secretary be chosen from a committee of 9 people,

Calculate the number of ways by using the combination as shown below,

\(N = 9C_3\)

Here, N is the number of ways,

N = 9! / [3!(9-3)!]

N = 9! / [3!6!]

N = 84

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The conditional probability that the size of the family is less than 6 given that it is at least 3 is 1.

To find the conditional probability that the size of the family is less than 6 given that it is at least 3, we need to use the formula for conditional probability.

Let's denote A as the event that the size of the family is less than 6, and B as the event that the size of the family is at least 3.

The conditional probability of A given B, denoted as P(A|B), is calculated as follows:

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

First, we need to find P(B), the probability that the size of the family is at least 3. Since the family is selected at random, we can assume that all possible family sizes have an equal chance of being selected.

Let's assume the total number of possible family sizes is n. The probability of selecting a family with at least 3 members is the sum of the probabilities of selecting a family with exactly 3 members, exactly 4 members, and exactly 5 members.

P(B) = P(3) + P(4) + P(5)

Next, we need to find P(A and B), the probability that the size of the family is both less than 6 and at least 3. Since any family size less than 6 is also at least 3, P(A and B) will be the same as P(B).

Finally, we can substitute the values into the formula for conditional probability:

P(A|B) = P(A and B) / P(B) = P(B) / P(B) = 1

Therefore, the conditional probability that the size of the family is less than 6 given that it is at least 3 is 1.

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Answer:

2 dolars for 1 pound

or

1 dolar for 0.5 pounds

Step-by-step explanation:

hope this helps:P

Answer:

14 students

Step-by-step explanation:

You didn't include a graph, so I looked up the question to find the graph you are likely talking about.

If this graph does not match, ignore my answer (although the question is exactly the same so I'm guessing it might be the same)

{even if different , conceptually, here is what you do: }

Receiving at least 10 messages includes those who receive 10 messages.

Each X represents 1 student. So, 3 students received exactly 10 messages.

3 (who received 10)

2 (who received 15)

4 (who received 20)

5 (who received 25)

+________

14 students

14 students received ≥ 10 messages

(≥ means greater than or equal to,

< is less than (less < more)

> is greater than (more > less)

the line under includes the value _ (same or more ≥ than this value ;  same or less ≤ than this value)

hope this helps you !!

The factor of 16x⁸ − 1 is  (2x² - 1)(2x² + 1)(4x⁴+ 1 ) after applying the identity.

What is factorization?

Factorization is the process of dividing a large number into smaller ones that when multiplied together, yield the original number. Writing a number or other mathematical object as the sum of numerous factors is the process of factoring.

Here, we have

Given: 16x⁸ - 1.

We have to factorize completely.

From the identity:

a² - b² = (a+b)(a-b)

= (4x⁴)² - 1

= (4x⁴-1)(4x⁴+1)

Again applying identity in the first term

= (2x²-1)(2x²+1)(4x⁴+1)

Hence, the factor of 16x⁸ − 1 is  (2x² - 1)(2x² + 1)(4x⁴+ 1 ) after applying the identity.

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The probability that at least one household has their TV set tuned to the game is 1 - (1-0.22)^33, which is approximately 0.993.

To solve this problem using the direct method, we can use the fact that 22% of TV sets were tuned to the game. This means that the probability of a randomly selected TV set being tuned to the game is 0.22.

To find the probability that at least one of the 33 households surveyed had their TV set tuned to the game, we can use the complement method. The complement of the event "at least one household has their TV set tuned to the game" is "none of the households have their TV set tuned to the game".

Using the complement method, we can find the probability of this event by taking the probability that no households have their TV set tuned to the game, which is (1-0.22)^33.

So, the probability that at least one household has their TV set tuned to the game is 1 - (1-0.22)^33, which is approximately 0.993.

If I had to do this by hand, I would use the complement method, as it involves simpler calculations.

To find the probability that at least one TV set among the 33 households surveyed is tuned to NBC Sunday Night Football, we can use either the direct method or the complement method.

1. Direct Method:
The direct method requires calculating the probabilities of 1, 2, 3, ..., 33 households watching the game, and then summing up these probabilities. This method can be tedious and time-consuming, especially when done by hand.

2. Complement Method:
The complement method is generally easier and quicker, as it involves calculating the probability that none of the 33 households is watching the game and then subtracting this probability from 1.

Given that 22% (0.22) of the TV sets in use were tuned to the game, the probability that a household is not watching the game is 1 - 0.22 = 0.78.

For all 33 households not to be watching the game, the probability is (0.78)^33 ≈ 0.00038.

Now, to find the probability that at least one household is watching the game, we subtract this probability from 1:

1 - 0.00038 ≈ 0.99962.

So, the probability that at least one of the 33 households is tuned to NBC Sunday Night Football is approximately 0.99962.

If you had to do this by hand, the complement method would be the preferred approach, as it requires fewer calculations and is more straightforward.

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Depending on the size and thickness of the box, a certain amount of metal is required to cast a cubical metal box.

Depending on the size and thickness of the box, a certain amount of metal is required to cast a cubical metal box. In general, more metal is required for larger, thicker boxes. One must first calculate the box's volume in order to determine how much metal is required. The box's length, width, and height can be multiplied together to get this. The thickness of the metal must next be determined. The total amount of metal required can be estimated by multiplying the volume of the box by the thickness of the metal once the volume and thickness of the metal have been established. For instance, consider a box with dimensions of 6 inches long, 6 inches wide, and 6 inches high and a metal thickness.

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Levene's Test in SPSS is used to detect violations of the ANOVA assumption of constant/equal variability over all treatments/populations.

Levene’s test is used to check that variances are equal for all samples when your data comes from a non normal distribution. You can use Levene’s test to check the assumption of equal variances before running a test like One-Way ANOVA.

ANOVA assumption is also known as homogeneity of variance.

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