Can someone plz help me on this its due in 30 mins.

The expected number of red marbles is 197/240.

Given that a box contains 3 red and 7 green marbles. If 9 marbles are drawn without replacement, we need to determine the expected number of red marbles.

The total number of marbles in the box = 3 + 7 = 10The probability of selecting a red marble at the first draw = 3/10

The probability of selecting a red marble at the second draw = 2/9

The probability of selecting a red marble at the third draw = 1/8

∴ The expected number of red marbles = Probability of selecting a red marble at the first draw + Probability of selecting a red marble at the second draw + Probability of selecting a red marble at the third draw= 3/10 + 2/9 + 1/8= (216 + 240 + 135) / (10 * 9 * 8)= 591/720= 197/240

Hence, the expected number of red marbles is 197/240.

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The given information is: A box contains 3 red and 7 green marbles.  If 9 marbles are drawn without replacement, what is the expected number of red marbles?The expected number of red marbles can be found as follows:

Let us assume that X is a random variable, that represents the number of red marbles drawn from the box.

If we want to calculate the expected value of X, then we can use the formula:E(X) = Σ(xP(x))Where Σ(xP(x)) is the sum of all possible outcomes, multiplied by their respective probabilities.

The probability of drawing a red marble on the first draw is 3/10.

The probability of drawing a red marble on the second draw is 2/9, since there are only 2 red marbles left out of 9 marbles total.

The probability of drawing a red marble on the third draw is 1/8, since there are only 1 red marble left out of 8 marbles total.

Since we are drawing 9 marbles without replacement, we need to multiply all these probabilities together to get the probability of drawing a certain sequence of red and green marbles.

P(X = k) represents the probability of drawing k red marbles out of 9 marbles.Using the formula: E(X) = Σ(xP(x))E(X) = Σ(kP(X = k))k ranges from 0 to 3.

So, the expected value of red marbles is:E(X) = 0P(X = 0) + 1P(X = 1) + 2P(X = 2) + 3P(X = 3)E(X) = 0 + 1(3/10)(6/9)(5/8) + 2(3/10)(2/9)(5/8) + 3(3/10)(2/9)(1/8)E(X) = 0 + 0.27917 + 0.0625 + 0.01406E(X) = 0.35573

Therefore, the expected number of red marbles is approximately 0.356.

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Answer:

22= 6(1x+5x)

Step-by-step explanation:

He could have 4 $5 bills and 2 $1 bills.

Answer:

he has 4 $5 bills

Step-by-step explanation:

22 - 2 = 20

20 divided by 4 = 5

so 4 $5 bills and 2 $1 bills

Answer:

hi

Step-by-step explanation:

|In(x)| < ε/M for all x ∈ R, we can bound the above expression by:|91(n+1)(x) + 91(n+2)(x) + ...| ≤ 91(n+1)ε/M + 91(n+2)ε/M + ... = ε.This shows that the series converges uniformly on R.

We must demonstrate that for any given  > 0, there exists a positive integer N such that the difference between the partial sum Sn(x) and the limit L(x) for all x  R is less than to demonstrate that the series converges uniformly on R.

Since 91(2) is limited on R, let M be an upper headed for 91(2). Since the In(x) unite pointwise to 0, for any ε > 0, there exists a positive number N with the end goal that for all n > N, |In(x)| < ε/M for all x ∈ R.

Presently, for n > N and for all x ∈ R, we have:

|Sn(x) - L(x)| = |(∑ i=1 to n 91(i)(x)) - 0| = |91(n+1)(x) + 91(n+2)(x) + ...|

Since |In(x)| < ε/M for all x ∈ R, we can bound the above articulation by:

|91(n+1)(x) + 91(n+2)(x) + ...| ≤ 91(n+1)ε/M + 91(n+2)ε/M + ... = ε

This shows that the series combines consistently on R.

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Answer:

[tex]48cm^{2}[/tex]

Step-by-step explanation:

Split the shape up into two rectangles

(1) rectangle would be 2 x 10 = 20

(2) rectangle would be 4 x 7 = 28

Add them up = [tex]48cm^{2}[/tex]

Answer:

arc CD = 160°

Step-by-step explanation:

The measures of the arcs on the circle = 360° , then

arc CD = 360 - AC - AD = 360 - 3x - 7x = 360 - 10x

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

The measure of the secant- tangent angle ABC is half the difference of the intercepted arcs, that is

[tex]\frac{1}{2}[/tex] (7x - 3x) = 40 ( multiply both sides by 2 to clear the fraction )

7x - 3x = 80

4x = 80 ( divide both sides by 4 )

x = 20

Then

CD = 360 - 10x = 360 - 10(20) = 360 - 200 = 160°

The y-intercept of the sine function with an amplitude of 3, a period of π, and a phase shift of π/2 is 0.


The general form of a sine function is y = A×sin(Bx - C) + D, where A represents the amplitude, B determines the period, C is the phase shift, and D is the vertical shift.

In this case, the given amplitude is 3, indicating that the maximum value of the function is 3 and the minimum value is -3.

The period is π, which means the function completes one full cycle in π units of x.

The phase shift is π/2 period, which shifts the graph to the right by π/2 units.

Since the y-intercept is the point where the graph intersects the y-axis (x = 0), and the sine function passes through the origin (0, 0), the y-intercept is 0.

Therefore, the y-intercept of the given sine function is 0.

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The first, second, and third quartiles from the set of data (3,4,5,6,7,37,100) include the following:

Q₁ = 4.

Q₂ = 6.

Q₃ = 37

Based on the data set, the first quartile (Q₁) can be calculated as follows;

Q₁ = [(n + 1)/4]th term

Q₁ = (7 + 1)/4

Q₁ = 2nd term

Q₁ = 4.

For the second quartile (Q₂), median, or 50th percentile, we have the following:

second quartile (Q₂) = 4th term

second quartile (Q₂) = 6.

For the third quartile (Q₃), we have:

Q₃ = [3(n + 1)/4]th term

Q₃ = 3 × 2nd term

Q₃ = 6th term

Q₃ = 37

In conclusion, a box plot for the given data set is shown in the image attached below.

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The conditions for hypothesis test for slope of least squares regression line are observations are independent, data is from random sample, the true relationship between variables is linear. So, correct options are c, e, f, g, h.

c) The observations are independent: This condition is necessary to ensure that the observations are not influenced by each other and that the regression estimates are not biased.

e) Data are from a random sample or experiment: Random sampling helps to ensure that the sample is representative of the population and allows for generalization of the results. In an experiment, random assignment helps establish causal relationships.

f) The responses, y, for any value of x vary according to a normal distribution: This assumption is needed to perform hypothesis tests and construct confidence intervals for the slope. It is usually assumed that the errors or residuals in the regression model are normally distributed.

g) The true relationship between the variables is linear: This assumption assumes that the relationship between the independent variable (x) and the dependent variable (y) can be adequately represented by a straight line.

h) The parameter of interest is the true slope, β: The hypothesis test focuses on testing whether the estimated slope coefficient significantly differs from zero, which represents the null hypothesis.

The remaining options (a, b, d) are not necessary conditions for the hypothesis test for the slope of the least squares regression line. They may be assumptions or conditions related to the regression model but are not directly tied to the hypothesis test for the slope.

So, correct options are c, e, f, g, h.

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answer/ step-by-step explanation:

hi there!

the question is asking us to solve for x for the equation

x + 3 = 5

first we need to get all the numbers on to one side of the equal sign while the other side has all the variable

in order to do that we need to subtract 3 on both sides

x + 3 = 5

- 3         - 3

and that leaves us with our answer!

x = 2

i hope this helps you :) if you need anymore help or if i did something wrong then please tell me! have a good day :)

Answer:

3,080 cm

Step-by-step explanation:

simple -. -

Answer:

x=22t and y=28(t-0.5)

140

51

Step-by-step explanation:

right on edg

Answer:

A pair of parametric equations representing the paths of the boats are

✔ x = 22t and y = 28(t – 0.5) (Negative 0.5).

From the time the ocean liner leaves until the ferry overtakes it is

✔ 140.

minutes at a distance from the port of approximately

✔ 51 miles.

Step-by-step explanation:

Edge 2022

Answer:

Given sequence:

Common difference is:

Find the first term:

Recursive formula:

Correct choice is A

Using the function f(x) = 4x, we find that f(3) = 12, f(5) = 20, f(-2) = -8, and f(0.4) = 1.6.

To evaluate the function f(x) = 4x at the indicated values, we can use a calculator to perform the calculations.

f(3):

Multiply 3 by 4: 3 * 4 = 12

The value of f(3) is 12.

f(5):

Multiply 5 by 4: 5 * 4 = 20

The value of f(5) is 20.

f(-2):

Multiply -2 by 4: -2 * 4 = -8

The value of f(-2) is -8.

f(0.4):

Multiply 0.4 by 4: 0.4 * 4 = 1.6

The value of f(0.4) is 1.6.

The function simply multiplies the input value by 4 to determine the output value.

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Answer:

At 2 pm, the temperature was -9 degrees. If the temperature drops 8 degrees, what is the new temperature?

Step-by-step explanation:

sorry I can't delete it

Answer:

-15

Step-by-step explanation:

-7 Dropping 8 would be -15 because 8+7 is 15 but its negative so its -15 (im terrible at explaining)

Answer:

17

Step-by-step explanation:

I don't know the explanation, but hoped this helped.

Answer:

18 lolly pops

Step-by-step explanation:

3 = 30p

3x6 = 1.80

= 18

Answer:

d

Step-by-step explanation:

y=tan (2(x+2)-2, I think that is it

Answer:

y=tan(x-pi)-2

Step-by-step explanation:

Answer:

Ok first of all you start out splitting the shape into seperate rectangles, in this case 2. take those 2 rectangles and find the area of them. Say we start from the smaller rectangle. 2 x 4 = 8 so the area of the smaller rectangle is 8. Keep that in mind. Next we have to multiply 10 x 5 because that is the labeled number of meters and that equals 50. So add 50 + 8 = 58

Step-by-step explanation:

Your answer is 58 meters

Really hope i helped and have a wonderful day! :)

Answer:

58 m³

Step-by-step explanation:

To find the area of irregular shapes like this, it is easy to split the shape into 2 individual shapes, find the area of both, then add the areas to find the total.

Now, we'll split it into 2 rectangles with areas of:

2 x 4

10 x 5

To find area, you multiply the length of one side by the other. The first rectangle's area is (2 x 4) and the other rectangle's area is (10 x 5).

10 x 5 = 50

2 x 4 = 8

50 + 8 = 58

The area of the figure is 58 m³.

Solve the inequality 8 + 4.5sin(πt) ≥ 5 to find the times when it is safe for Kairvi to sail into Matheshan's Cove.

To determine the times when it will be safe for Kairvi to sail into Matheshan's Cove, we need to solve the inequality 8 + 4.5sin(πt) ≥ 5, where t represents time in hours.

Here are the steps to solve the inequality:

Subtract 8 from both sides of the inequality:

  4.5sin(πt) ≥ 5 - 8

  4.5sin(πt) ≥ -3

Divide both sides of the inequality by 4.5 to isolate the sine function:

  sin(πt) ≥ -3/4.5

  sin(πt) ≥ -2/3

To find the values of t that satisfy this inequality, we need to consider the inverse sine (arcsine) function. Taking the inverse sine of both sides, we get:

  πt ≥ arcsin(-2/3)

Solve for t by dividing both sides by π:

  t ≥ (1/π)arcsin(-2/3)

The resulting expression (1/π)arcsin(-2/3) represents the minimum time at which the water depth will be at least 5 meters. To determine the specific times, you can use a calculator or reference table to evaluate the arcsin function and calculate the corresponding time values.

Note: Keep in mind that this solution assumes a 24-hour time format and that the given water depth equation and conditions are accurate.

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Answer:

x1=-1/3 and x2=-1/5

3(3x+1)+2(5x+1)

3x+1=0,5x+1=0

×=-1/4 x=-1/5

To find the number of seats won by each party from a database of election results, we need the specific information about the parties, the candidates, and the corresponding vote counts or seat allocations.

With that information, we can perform calculations or queries to determine the number of seats won by each party.

Here's a general outline of the steps involved:

Obtain the election database or data that includes information on parties, candidates, and their respective vote counts or seat allocations.

Analyze the database structure to identify the relevant tables or fields

that store the necessary information.

Use database query or analysis tools to extract the relevant data. Write a query or use filtering mechanisms to retrieve the party names, candidate information, and corresponding vote counts or seat allocations.

Perform calculations or aggregations based on the data retrieved to determine the total number of seats won by each party. This can involve summing the vote counts or seat allocations for each party.

Present or display the results, showing the number of seats won by each party in the election.

Please provide the specific database structure or information about the parties, candidates, and vote counts if you have them, and I can assist you further in generating the desired results.

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Answer:

El método de igualación consiste en despejar la misma incógnita en las dos ecuaciones y después igualar los resultados.

Los pasos a seguir son los siguientes:

sistema de ecuaciones

En primer lugar, elegimos la incógnita que deseamos despejar. En este caso, empezaré por la «x» y despejo la misma en ambas ecuaciones.

x+y=7; x=7-y

5x-2y=-7; 5x=2y-7

x=(2y-7)/5

Una vez hemos despejado, igualamos:

7-y = (2y-7)/5

5.( 7-y) = (2y -7)

35 -5y= +2y -7

42=7y

y=42/7=6

y=6

Por último, sustituimos el valor que hemos calculado despejando la otra incógnita en una de las ecuaciones iniciales.

The statement "If shooting in different light sources each light source should have a different custom color profile" is False.

Shooting in different light sources does not necessarily require different custom color profiles. The purpose of a color profile is to ensure accurate color reproduction across different devices and environments. While different light sources may have different color temperatures and characteristics, modern cameras and editing software often provide options to adjust white balance and color settings to account for different lighting conditions.

These adjustments can help achieve consistent and accurate colors without the need for separate custom color profiles for each light source. However, in certain professional or specialized applications, such as high-end photography or color-critical work, custom color profiles may be created to fine-tune color accuracy based on specific lighting conditions.

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The number of residuals outside the 95% prediction bands depends on the specific data and regression model. The explanation below provides general insights.

The number of residuals lying outside the 95% prediction bands can vary depending on the data and the estimated regression model. In a simple linear regression, the prediction bands represent the range within which future observations are expected to fall with 95% confidence.

Ideally, if the model assumptions are met and the regression is a good fit, we would expect only about 5% of the residuals to fall outside the prediction bands by chance. However, if the assumptions are violated or the model is not appropriate, more residuals may deviate beyond the bands.

The distribution of residuals above or below the estimated regression line depends on the symmetry of the errors. If the errors are normally distributed and the model is unbiased, roughly half of the residuals lying outside the prediction bands should be above the line, and the other half should be below the line.



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The derivative of f(x) = -x² + 4x - 9 is f'(x) = -2x + 4.  Evaluating f'(x) at x = 1, 2, and 3 gives f'(1) = 2, f'(2) = 0, and f'(3) = -2. To find the derivative of the function f(x) = -x² + 4x - 9, we will use the four-step process.

After applying the process, we obtain the derivative f'(x) = -2x + 4. Evaluating this derivative at x = 1, x = 2, and x = 3 gives us f'(1) = 2, f'(2) = 0, and f'(3) = -2.

The four-step process involves the following steps:

1. Begin by applying the power rule, which states that the derivative of [tex]x^n[/tex] is [tex]nx^{(n-1)[/tex], where n is a constant. In this case, we have -x², so the derivative becomes -2x.

2. Apply the power rule to the next term, which is 4x. The derivative of 4x is 4.

3. Since -9 is a constant term, its derivative is zero.

4. Combine the derivatives obtained in steps 1, 2, and 3 to find the overall derivative of the function f(x). In this case, f'(x) = -2x + 4.

To find the values of f'(1), f'(2), and f'(3), we substitute the corresponding values of x into the derivative function.

When x = 1, f'(1) = -2(1) + 4 = 2.

When x = 2, f'(2) = -2(2) + 4 = 0.

When x = 3, f'(3) = -2(3) + 4 = -2.

Therefore, the derivative of f(x) is f'(x) = -2x + 4, and the values of f'(1), f'(2), and f'(3) are 2, 0, and -2, respectively.

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The number of raindrops hitting a particular region can be modeled using the Poisson distribution. The Poisson distribution is commonly used to describe the number of events occurring in a fixed interval of time or space when these events happen randomly and independently with a known average rate. In this case, the average rate is given as 20 drops per square inch per minute. The probability that the region has no raindrops in a given 6-second time interval is approximately 0.7165

To compute the probability that the region has no raindrops in a given 6-second time interval, we need to convert the rate to match the time interval. Since the rate is given per minute, we can divide it by 60 to get the rate per second: λ = 20/60 = 1/3 drops per square inch per second.

Using the Poisson distribution, the probability of observing exactly k events in a given time interval is given by the formula:

P(X = k) = (e^(-λ) * λ^k) / k!

Where e is Euler's number (approximately 2.71828), λ is the average rate, and k is the number of events.

In our case, we want to find the probability that the region has no raindrops in a 6-second time interval, which corresponds to k = 0.

P(X = 0) = (e^(-1/3) * (1/3)^0) / 0! = e^(-1/3)

Using a calculator, we can evaluate e^(-1/3) ≈ 0.7165.

Therefore, the probability that the region has no raindrops in a given 6-second time interval is approximately 0.7165 or 71.65%.

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