A local charity receives 1/3 of funds raised during a craft fair and a bake sale. The total amount given to the charity was $137.45. How much did the bake sale raise?

(NEED ANSWER ASAP!!)

3bags x 5 pearls per bag=15 bags

15 / (4 friends+you)=5

15/5=3 pearls per friend.

Answer:3 pearls per person.

Answer:

It is 3x5 is 15 the you divide 15 by 4 which is 3.75 per person

Step-by-step explanation:

3x5=15

15\4=3.75

Answer:

Y=2x^2

Step-by-step explanation:

The following equations represent a parabola with vertex (0,0): y=2x², x=-2y² and x=2y².

The quadratic function can be represented by a quadratic equation in the Standard form: ax²+bx+c=0 where: a, b and c are your respective coefficients. In the quadratic function the coefficient "a" must be different than zero (a≠0) and the degree of the function must be equal to 2.

A parabola also can be represented by a quadratic equation. The vertex of an up-down facing parabola of the form ax²+bx+c is [tex]x_v=\frac{-b}{2a}[/tex] . Knowing the x-coordinate of vertex, you can find the y-coordinate of vertex.

The another form for describing a parabola is [tex]4p\left(x-h\right)=\left(y-k\right)^2[/tex], where h and k are the vertex coordinates.

You should analyse each one of the options, considering the equations that can be represented a parabola.

Letter A - y=2x²

The coefficients of the quadratic equation are:

a=2, b=0, c=0

Then,

[tex]x_v=\frac{-b}{2a}\\ \\ x_v=\frac{-0}{2*2}=0[/tex].

If x-coordinate of vertex is equal to 0, from y=2x²you can:

[tex]y_v=2x^2\\ \\ y_v=2*0^2=0[/tex]

Therefore, the given equation ( y=2x²) represents a parabola with vertex (0,0).

Letter B - x=-2y²

From equation [tex]4p\left(x-h\right)=\left(y-k\right)^2[/tex], you can rewrite the given equation parabola for vertex (0,0) in:

[tex]4p(x-0)=(y-0)^2\\ \\ 4*\frac{-1}{8} x=y^2\\ \\ \frac{-1}{2} x=y^2\\ \\ x=-2y^2[/tex]

Therefore, the given equation ( x=-2y²) represents a parabola with vertex (0,0).

Letter C - x=2y²

From equation [tex]4p\left(x-h\right)=\left(y-k\right)^2[/tex], you can rewrite the given equation parabola for vertex (0,0) in:

[tex]4p(x-0)=(y-0)^2\\ \\ 4*\frac{1}{8} x=y^2\\ \\ \frac{1}{2} x=y^2\\ \\ x=2y^2[/tex]

Therefore, the given equation ( x=2y²) represents a parabola with vertex (0,0).

Letter D - y=-2

The degree of equation is not equal 2. Therefore, it does not represent a parabola.

Only the equations of letter A, B and C represent a parabola with vertex (0,0). See the attached image.

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Answer:

It is 1, or A:  adding the two middle numbers

Step-by-step explanation:

When you think of it, here's an example:

15

23

55

34

Add 23 and 55:

23+55=78

We've got this now:

15

78

34

Now, all you've gotta do is find the mediam.

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Answer:

18.

Step-by-step explanation:

Yikes i dont know this but thanks for the coins C:

Answer:

120°

Step-by-step explanation:

To find the measure of angle t in the pentagon, we can use the property that the sum of the interior angles of a pentagon is equal to 540 degrees.

So, we can set up an equation:

80° + 90° + 130° + 120° + t = 540°

Simplifying the equation:

420° + t = 540°

Next, we can isolate the variable t by subtracting 420° from both sides of the equation:

t = 540° - 420°

t = 120°

Therefore, the measure of angle t in the pentagon is 120 degrees.

Hope this helps!

Answer:

a) 1/2, 0.5, 50% b)3/4, 0.75, 75% c) 1/12, 0.08333, 8.333% d) 5/12, 41.6667%, 0.416

Step-by-step explanation:

Answer:

a] 1/2 b] 5/6 c] 1/6 d] 5/4

Step-by-step explanation:

no of even no present/total numbers and so on

try it later

Answer:

njbrdjbbgdbjbfjfj

Step-by-step explanation:

Answer:

A

Step-by-step explanation:

It is talking about a positive number

Answer:

a

Step-by-step explanation:

Answer:

s= 100

r= 130

x= 38

y= 30

Step-by-step explanation:

It does not determine the observed interaction effects between variables.

In the case of multiple linear regression, the option that is not determined is:

Variable interactions that have been observed to have effects.

Option 1: Multiple linear regression can estimate the observed relationship between predictor and outcome variables after adjusting for confounding relationships and option 2: it can determine the potential confounding effects from lurking variables. Furthermore, numerous direct relapse can evaluate the causal connections among indicator and result factors adapting to jumbling connections (choice 3).

However, the potential observed interaction effects between variables cannot be determined by multiple linear regression on its own. Association impacts happen when the connection between two indicators and the result variable isn't added substance however relies upon the mix of the indicator values. In order to evaluate the effects of interactions, additional analysis methods like including interaction terms and carrying out specific interaction tests are required.

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Answer:

4,270 + 310d

Step-by-step explanation:

Let

d = number of days

Each food booth = 100 + 10d

18 food booth = 18(100 + 10d)

= 1,800 + 180d

Each game booth = 95 + 5d

26 game booth = 26(95 + 5d)

= 2,470 + 130d

Total amount the company is paid = total cost of food booth + total cost of game booth

= (1,800 + 180d) + (2,470 + 130d)

= 1,800 + 180d + 2,470 + 130d

= 1,800 + 2,470 + 180d + 130d

= 4,270 + 310d

Total amount the company is paid = 4,270 + 310d

Answer:

RS = 17

Step-by-step explanation:

Given S lies on RT , then

RS + ST = RT , that is

RS + 3 = 20 ( subtract 3 from both sides )

RS = 17

Answer:

zero

Step-by-step explanation:

If today is Wednesday, the probability of tomorrow being Saturday is zero.

Answer:

b) 3w² = 243

Step-by-step explanation:

area = L x w

L = 3w

substitute for L:

243 = 3w x w = 3w²

3w² = 243

Answer:

[tex]P(A\ and\ B) = 44\%[/tex]

Step-by-step explanation:

Given

Represents the event as follows:

A = [tex]Elon\ Musk[/tex] will offer you a [tex]free\ trip[/tex] into space in the next month\

B = Scientists from [tex]Area\ 51[/tex] will [tex]start\ selling[/tex] pet aliens next month

So, we have:

[tex]P(A) = 41\%[/tex]

[tex]P(B) = 27\%[/tex]

[tex]P(A\ or\ B) = 24\%[/tex]

Required

Determine [tex]P(A\ and\ B)[/tex]

This is calculated as:

[tex]P(A\ and\ B) = P(A) + P(B) - P(A\ or\ B)[/tex]

So, we have:

[tex]P(A\ and\ B) = 41\% + 27\% - 24\%[/tex]

[tex]P(A\ and\ B) = 44\%[/tex]

The conditional probability that the process is in state 0 (or 1), given that absorption had not yet taken place. Therefore, P(X3 = 0, T > 3) = 0.075.

The Markov chain starts at time zero in state Xo = 0 and the transition probability matrix of Markov Chain is as follows: 0 1 2 0 0.7 0.2 0.1 P= 1 0.3 0.5 0.2 2 0 0 1

P(X3 = 0, T > 3).We know that the probability of moving from state i to state j in two steps is given by P2(i, j).

Thus, the probability of moving from state i to state j in three steps is given by P3(i, j). We have P2(i, j) = P(i, ·)P(j, ·) = Σk P(i, k)P(k, j).

For a 3-step transition probability, we use the equation P3 = P2P = P2 (P2) and so on. Therefore,P3(1, 2) = P2(1, 1)P(1, 2) + P2(1, 2)P(2, 2) + P2(1, 3)P(3, 2) = (0.7)(0.3) + (0.2)(0.5) + (0.1)(0) = 0.235

Similarly,P3(1, 0) = P2(1, 0)P(0, 0) + P2(1, 1)P(1, 0) + P2(1, 2)P(2, 0) = (0)(0.7) + (0.3)(0) + (0.235)(0.2) = 0.047

Since we are interested in finding P(X3 = 0, T > 3), we need to find the probability that absorption had not yet taken place at time 3 and that the process is in state 0 at time 3, which can be expressed as:

P(X3 = 0, T > 3) = P(X3 = 0, X4 ≠ 2) = P(X3 = 0, X4 = 0) + P(X3 = 0, X4 = 1)

We know that T is the first time that the process reaches state 2 and the process will reach and be absorbed into state 2.

Thus, T is the absorption time for state 2 and it has a geometric distribution with parameter P2(2, 2) = 1, which implies that P(T = t) = (1 – 1)P2(2, 2) = 0 for all t < 1.

Therefore, P(X3 = 0, X4 = 0) = P(X3 = 0, X4 = 0, T > 3)

              = P(X3 = 0, T > 3)P(X4 = 0 | X3 = 0, T > 3) = P(X3 = 0, T > 3)P(0, 0) / P(X3 = 0, T > 3)P(0, 0) + P(X3 = 1, T > 3)

               P(1, 0) + P(X3 = 2, T > 3)

               P(2, 0) = (0.047)(1) / [(0.047)(1) + (0.235)(0.7) + (0)(0.2)]

              = 0.067

Therefore, P(X3 = 0, T > 3) = P(X3 = 0, X4 = 0) + P(X3 = 0, X4 = 1) = (0.067)(0.7) + (0.235)(0.2) = 0.075.

Therefore, P(X3 = 0, T > 3) = 0.075.

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Answer:

65,000 grams

Step-by-step explanation:

Because 1000 grams is in 1 kilogram, you would multiply the 65 kilograms by 1,000 to convert it to grams.

So to convert 65 kilograms to grams you would do:

65 * 1,000 = 65,000 grams

Using Green's theorem the flux of the field F across the ellipse is 0, indicating that there is no net flow across the ellipse.

To find the flux of the field F = a × i - 3y × j outward across the ellipse, we can use Green's theorem. Green's theorem relates the flux of a vector field across a closed curve to the circulation of the field around the curve.

Let's denote the ellipse as C, which is parameterized by x = a cos(t) and y = b sin(t), where a and b are the semi-major and semi-minor axes of the ellipse, and t varies from 0 to 2π.

Calculate the curl of the vector field F:

∇ × F = (∂Fₓ/∂y - ∂Fᵧ/∂x) k

= (-3)k

Determine the area enclosed by the ellipse using Green's theorem:

The flux of F across the ellipse is equal to the circulation of F around the ellipse:

∮C F · dr = ∬R (∇ × F) · dA

Since the curl of F is -3k, the flux simplifies to:

∮C F · dr = ∬R (-3k) · dA

= -3 ∬R dA

= -3A

Therefore, the flux of F across the ellipse is -3 times the area enclosed by the ellipse.

Find the area enclosed by the ellipse:

The equation of the ellipse is given as x = a cos(t) and y = b sin(t).

To find the limits of integration, we note that t varies from 0 to 2π, which represents one complete revolution around the ellipse.

∬R dA = ∫₀²π ∫₀²π (a cos(t))(b) dt

= ab ∫₀²π cos(t) dt

= ab [sin(t)]₀²π

= ab (sin(2π) - sin(0))

= 0

Therefore, the area enclosed by the ellipse is 0.

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Answer: A

Step-by-step explanation:

In Process A, which is a driftless geometric Brownian motion, the variance of the instantaneous return (VAR[ds/S]) is constant per unit time. However, in Process B, where ds = aS^2dw, the variance of the instantaneous return depends on the value of S(t).

In Process A, since there is no drift term (dt), the random variable dw follows a standard normal distribution with a constant variance of dt. When calculating the instantaneous return dS/S, we can see that the dt terms cancel out, resulting in a constant variance of the instantaneous return (VAR[ds/S]) per unit time. This is because the volatility o remains constant, and the random variable dw has a constant variance.  

In Process B, the equation ds = aS^2dw suggests that the variance of the instantaneous return is proportional to the value of S(t). As S(t) increases, the magnitude of ds also increases, leading to a larger variance of the instantaneous return. In other words, the volatility in Process B depends on the level of the underlying process S(t). This is different from Process A, where the variance of the instantaneous return is constant regardless of the value of S(t). Hence, the variance of the instantaneous return in Process B is not constant per unit time, but rather dependent on the value of S(t).

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Answer:

well

Step-by-step explanation:

please add the image

Applying the knowledge of fractions, half of 1/2 cake = 1/4 cake.

We are asked to find how many parts of are there in half of one-half of a cake.

Thus:

half = 1/2

1/2 of 1/2 cake = 1/2 × 1/2 (of = multiplication)

= (1 × 1)/(2 × 2)

= 1/4

Therefore, applying the knowledge of fractions, half of 1/2 cake = 1/4 cake.

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According to the Empirical rule, approximately 95% of women had their first child between the ages of 16.5 years and 38.1 years. The correct option is b. 16.5 years and 38.1 years.

The given question states that a researcher interested in the age at which women have their first child surveyed a simple random sample of 250 women who have one child and found an approximately normal distribution with a mean age of 27.3 and a standard deviation of 5.4. We are to find the range of age at which approximately 95% of women had their first child, according to the empirical rule.

There are three ranges for the empirical rule as follows:

Approximately 68% of the observations fall within the first standard deviation from the mean.

Approximately 95% of the observations fall within the first two standard deviations from the mean.

Approximately 99.7% of the observations fall within the first three standard deviations from the mean.

Now, we will apply the empirical rule to find the age range at which approximately 95% of women had their first child. The mean age is 27.3 years and the standard deviation is 5.4 years, hence:

First, find the age at which 2.5% of women had their first child:

µ - 2σ = 27.3 - (2 × 5.4) = 16.5

Then, find the age at which 97.5% of women had their first child:

µ + 2σ = 27.3 + (2 × 5.4) = 38.1

Therefore, approximately 95% of women had their first child between the ages of 16.5 years and 38.1 years. Hence, the correct answer is option b. 16.5 years and 38.1 years.

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Answer:

Step-by-step explanation:

yes

The ∠3 is an alternate angle of ∠4 so it is 35° while ∠3 is a complimentary angle of ∠4 so it will be 55°.

An angle is a geometry in plane geometry that is created by 2 rays or lines that have an identical terminus.

Since we lack a measurement for angular rotation, the angle is a valuable tool for measuring angular distance. For instance, a meter or an inch is a unit of measurement for linear motion.

Given that AB and CD are parallel and AC is perpendicular to both.

So,

∠ACD = 90°

∠3 + ∠4 = 90°

∠3 = 90 - 35 = 55°.

Now,

Since ∠4 and ∠2 are alternative angles so both will be the same.

So,

∠2 = 35°

Hence "The ∠3 is an alternate angle of ∠4 so it is 35° while ∠3 is a complimentary angle of ∠4 so it will be 55°".

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Answer:

B. false

Step-by-step explanation:

A solution to the differential equation xy' - 3y = 6 is y = -2/x. This is a particular solution that satisfies the given differential equation.  Therefore, y = -2/x is a solution to the differential equation xy' - 3y = 6.

To find a solution to the differential equation xy' - 3y = 6, we need to solve the equation and find a function that satisfies it. We can begin by rearranging the equation:

xy' - 3y = 6

To solve this linear first-order ordinary differential equation, we can use the method of integrating factors. The integrating factor is given by the exponential of the integral of the coefficient of y, which in this case is -3:

IF = e^(-3x)

Multiplying both sides of the equation by the integrating factor, we have:

e^(-3x)xy' - 3e^(-3x)y = 6e^(-3x)

This can be rewritten as:

(d/dx)(e^(-3x)y) = 6e^(-3x)

Integrating both sides with respect to x, we get:

e^(-3x)y = ∫(6e^(-3x))dx

Simplifying the integral and applying the constant of integration, we have:

e^(-3x)y = -2e^(-3x) + C

Dividing both sides by e^(-3x), we obtain:

y = -2 + Ce^(3x)

The constant C can take any value. By choosing C = 0, we have y = -2/x, which is a particular solution to the given differential equation. Therefore, y = -2/x is a solution to the differential equation xy' - 3y = 6.

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the answer is b ............

If z = xy⁷ − x²y, x = t² + 1, y = t² − 1, then using chain rule the value of dz/dt = 2t(y⁷ + xy⁶(dy/dx) - 2xy - x²(dy/dx)) + 2t(xy⁷ + 7xy⁶ - x²)

To find dz/dt using the chain rule, we need to differentiate z with respect to t while considering the relationship between z, x, y, and t.

Given:

z = xy⁷ − x²y

x = t² + 1

y = t² − 1

We can start by finding dz/dx and dz/dy separately and then use the chain rule to combine them to find dz/dt.

First, let's find dz/dx:

Differentiating z with respect to x, keeping y constant:

dz/dx = (d/dx)(xy⁷) - (d/dx)(x²y)

Using the product rule for differentiation:

dz/dx = y⁷ + xy⁶(dy/dx) - 2xy - x²(dy/dx)

Next, let's find dz/dy:

Differentiating z with respect to y, keeping x constant:

dz/dy = (d/dy)(xy⁷) - (d/dy)(x²y)

Using the product rule again:

dz/dy = x(y⁷ + 7y⁶(dy/dy)) - x²

Since dy/dy = 1, we can simplify dz/dy as:

dz/dy = xy⁷ + 7xy⁶ - x²

Now, let's use the chain rule to find dz/dt:

dz/dt = (dz/dx)(dx/dt) + (dz/dy)(dy/dt)

Substituting the expressions we found earlier for dz/dx and dz/dy, and using dx/dt = 2t and dy/dt = 2t:

dz/dt = (y⁷ + xy⁶(dy/dx) - 2xy - x²(dy/dx))(2t) + (xy⁷ + 7xy⁶ - x²)(2t)

Simplifying this expression gives us dz/dt in terms of t, x, and y:

dz/dt = 2t(y⁷ + xy⁶(dy/dx) - 2xy - x²(dy/dx)) + 2t(xy⁷ + 7xy⁶ - x²)

This is the complete calculation for finding dz/dt using the chain rule.

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Complete question is:

Use the chain rule to find dz/dt. z = xy⁷ − x²y, x = t² + 1, y = t² − 1

Experiment to verify the result of the study:A study at the University of Illinois found that young men who drank two pints of beer first were better able to solve certain word puzzles than sober men. An experiment to verify this result should be designed with the following steps:

Population: The population in this experiment would be young men who are eligible to consume beer legally.

Sampling: The sampling method will be convenient sampling. In this type of sampling, participants will be selected based on their availability to participate. Any participant that is within the age range of eligibility and is willing to participate can be considered for the study.

The participants will be divided into two groups, one group will drink two pints of beer while the other group will not drink any beer.

Executing the experiment: Both groups will be given word puzzles to solve after the beer is consumed by the test group and given to the control group directly.

The participants will not be given any hints on how to solve the puzzle to keep it fair. Data Collection: Both groups will be timed to solve the puzzle.

The group that solves the puzzle faster will be regarded as the winner. The number of people in each group that solve the puzzle will be recorded.

A correlation test would be performed to determine if the solution time is related to the consumption of beer.

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Data will be collected and analyzed using statistical tools such as the t-test to determine if there is a significant difference in performance between the two groups.

The experiment is designed to verify whether young men who drank two pints of beer first were better able to solve certain word puzzles than sober men. This question requires a well-planned experimental design. The experiment requires a hypothesis and a null hypothesis.

Hypothesis

Drinking two pints of beer can improve the performance of young men in word puzzles than sober men.

Null Hypothesis

Drinking two pints of beer cannot improve the performance of young men in word puzzles than sober men.

Population

The target population of the study is young men aged between 18 to 30 years.

Sample collection

To collect the sample, we will identify potential participants based on the age range of 18-30 years. The study will recruit volunteers who drink alcohol regularly and those who don't. Participants who have consumed alcohol before the study will be required to take a breathalyzer test to ensure they are within the recommended limits. Only those with a blood alcohol concentration of 0.08% and below will be included in the study. Participants will also be required to sign informed consent to participate in the study.

Execute the experiment

Participants will be randomly assigned into two groups: the control group and the experimental group. The control group will be given water to drink while the experimental group will be given two pints of beer. Participants will then be given a set of word puzzles to solve, and their performance will be recorded. Each group will be given an equal time limit to solve the word puzzles.

Data Collection

The data collected will include the number of word puzzles solved by each group, the time taken to solve the word puzzles, and the number of incorrect answers. The data collected will be analyzed using statistical tools such as the t-test to determine if the difference in performance between the two groups is statistically significant. ConclusionThe experiment is designed to verify if drinking two pints of beer can improve the performance of young men in solving certain word puzzles than sober men. The experiment involves a sample size of young men aged 18-30 years who will be randomly assigned to two groups; the experimental group and the control group. Data will be collected and analyzed using statistical tools such as the t-test to determine if there is a significant difference in performance between the two groups.

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Answer:

7/16 = 0.4375

Step-by-step explanation:

sry