at 95% confidence, how large a sample should be taken to obtain a margin of error of 0.04 for the estimation of a population proportion? assume that past data are not available for developing a planning value for p*. (round your answer up to the nearest whole number.)

Answer:

25 and 22

Step-by-step explanation:

The division expression shown in the model attached to this question is 1/2 ÷ 3

The model missing in the question is added as an attachment

In the model, we have

Shaded sections = 3

Partitons = 1/2

This means that

Division expression = Partitons ÷ Shaded sections

Substituting the above expressions, we have

Division expression = 1/2 ÷ 3

This means that the division expression is 1/2 ÷ 3

When the expression is solved, we have

Division expression = 1/6

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Complete question

Which division expression is shown in the model?

See attachment

The speed of the particle is 8 m/s, the force of resistance is [tex]0.3(8)^2[/tex], or 19.2 N.

A particle of mass 1.2 kg is moving with a speed of 8 m/s in a straight line on a horizontal table. A resistance force is applied to the particle in the direction of the motion. The magnitude of the force is proportional to the square of the speed, such that [tex]F=0.3v^2[/tex]

The force of resistance is an opposing force that acts to reduce the speed of the particle. As the particle moves faster, the resistance force increases. The force is proportional to the square of the speed, meaning that if the speed doubles, the force is multiplied by four. The force is also in the same direction as the motion, meaning that it will reduce the speed of the particle.

The equation for the force of resistance is [tex]F=0.3v^2[/tex], where v is the speed of the particle. Therefore, if the speed of the particle is 8 m/s, the force of resistance is [tex]0.3(8)^2,[/tex] or 19.2 N. This means that the force of resistance acting on the particle is 19.2 N.

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There are a few different reasons why certain categorical variables may not be allowed in a linear regression model:

Some software packages require categorical variables to be converted to numerical variables before they can be included in a linear regression model. This is typically done using one-hot encoding, where each category is represented by a binary variable indicating whether or not it is present.

If the number of categories for a given variable is very large, this can create a very large number of new variables, which may exceed the capacity of the software or the memory available on the computer running the analysis.

Some software packages may not allow categorical variables with a very large number of categories, again because of the potential computational demands of encoding these variables as binary variables.

If a categorical variable has a large number of categories relative to the sample size, it may not be possible to estimate the coefficients for each category with enough precision to be useful. Some software packages may not allow categorical variables with missing values, unless those missing values are explicitly coded as a category.

Overall, the decision to include or exclude categorical variables from a linear regression model will depend on a variety of factors, including the number of categories, the software being used, the size of the dataset, and the research question being addressed.

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The balance after 6 years when the interest is compounded monthly is $7289.60

To find the balance after 6 years when the interest is compounded monthly, we can use the formula:

A = P(1 + r/n)^(nt)

where:

In this case, P = $5000, r = 6.3% = 0.063 (annual interest rate as a decimal), n = 12 (since interest is compounded monthly), and t = 6.

Plugging in these values, we get:

A = $5000(1 + 0.063/12)^(12*6)

Evaluate

A = $7289.60

Therefore, the balance after 6 years when the interest is compounded monthly is $7289.60

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The answer of the given question based on the  the volume of the terrarium will be 70 cubic feet to  solve for x the answer is the terrarium is 7 ft long, 5 ft wide, and 2 ft tall.

A formula is mathematical expression that shows relationship between different variables or quantities. It can be used to calculate value based on given inputs or to derive  mathematical result from  set of conditions or assumptions.

To find the value of x, we can use the formula for the volume of a rectangular prism, which is:

Volume = Length x Width x Height

We are given the dimensions of the terrarium in terms of x, so we can substitute them into the formula:

Volume = (x) * (x-2) * (x-5)

We know that the volume of the terrarium is 70 cubic feet, so we can set the equation equal to 70 and solve for x:

(x) * (x-2) * (x-5) = 70

Expanding left side of equation we get:

x^3 - 7x^2 + 10x = 70

We can simplify this equation by subtracting 70 from both sides:

x^3 - 7x^2 + 10x - 70 = 0

In this case, the constant term is -70 and the leading coefficient is 1, so the possible rational roots are:

±1,±2,±5,±7,±10,±14,±35,±70

We can use synthetic division to simplify the calculation. After testing all the possible roots, we find that the only rational root is x = 7.

This means that the dimensions of the terrarium are:

Length = x = 7 feet

Width = x - 2 = 5 feet

Height = x - 5 = 2 feet

Therefore, the terrarium is 7 ft long, 5 ft wide, and 2 ft tall.

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The variance of 2X + 3Y is 35.52.

The solution to the problem is as follows:

First, find the mean and variance of X and Y:

E(X) = 3/5

Var(X) = 3/25

E(Y) = 1

Var(Y) = 1/25

Then, use the properties of variance to find the variance of 2X + 3Y:

Var(2X + 3Y)

= 4Var(X) + 9Var(Y) + 12Cov(X,Y)Cov(X,Y)

= E[(2X - 6/5)(3Y - 1)]

= 6E(XY) - 6E(X) - 3E(Y) + 2

= 6 * (integral from 0 to infinity integral from 0 to infinity of xyf(x,y)dxdy) - 6 * 3/5 - 3 * 1 + 2 = 6 * (integral from 0 to infinity 15xye^-3xdydx) - 8

= 54/5

Therefore,

Var(2X + 3Y) = 4(3/25) + 9(1/25) + 12(54/5)

                     = 888/25

                     = 35.52.

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Answer:

Step-by-step explanation:

E

Let (x1, y1) = (9,7) and (x2, y2) = (6,3)

By distance formula,

d = (x2 - x1)² + (y2 - y1)²

d = (6 - 9)² + (3 - 7)²

d = (-3)² + (-4)²

d = 9 + 16

d = 25 units

The expressions 10x-7 and 7-10x represent the statement "seven less than ten times a number".

The verbal expression "seven less than ten times a number" can be written mathematically in different ways, depending on the intended meaning. One possible expression is:

10x - 7

In this expression, "10x" represents ten times a number, and "-7" represents seven less than that quantity. Thus, the entire expression represents the result of subtracting 7 from the product of 10 and the number x.

Another possible expression is 7 - 10x

In this expression, "10x" represents ten times a number, and "7 - 10x" represents seven less than that quantity. Thus, the entire expression represents the result of subtracting the product of 10 and the number x from 7.

If the focus is on finding the result of subtracting 7 from ten times a number, the first expression is more appropriate. If the focus is on finding the result of subtracting the product of 10 and a number from 7, the second expression is more appropriate.

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Answer:

The height of the water increases 2 inches per minute.

Step-by-step explanation:

The slope is the rate at which the pool is being filled.

A slope of 2 means a filling rate of 2 inches per minute.

Answer: The height of the water increases 2 inches per minute.

In order to calculate the expected revenue of a toll bridge during a particular daytime period, we need to know how many passenger cars and other vehicles are expected to pass through the bridge, as well as the toll charges for each type of vehicle.Let's say that X is the number of passenger cars and Y is the number of other vehicles. Then, we can use the following formula to calculate the expected revenue of the toll bridge:h[tex](X, Y) = 1.00X + 2.50Y[/tex]This formula takes into account the toll charges for each type of vehicle and multiplies them by the number of vehicles that are expected to pass through the toll bridge during the daytime period.

For example, if we expect 100 passenger cars and 50 other vehicles to pass through the toll bridge during the daytime period, then the expected revenue of the toll bridge would be[tex]:h(100, 50) = 1.00(100) + 2.50(50) = 100 + 125 = $225[/tex]

Therefore, the expected revenue of the toll bridge during the particular daytime period would be $225.

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Answer:

linear equations produce straight lines when graphed, and their rate of change remains constant

Nonlinear equations do not produce straight lines when graphed.

To determine whether its linear or nonlinear, you can graph it and see if it produces a straight line, or check if it can be written in the form y= Mx+b

Step-by-step explanation:

Answer:

43 seashells

Step-by-step explanation:

x = 26

x + 31 - 14

(26) + 31 - 14

57 - 14

= 43

Using expressions,

4a. x= 0 is not possible.

4b. x= 1 is not possible.

5a. (9x-5)(9x+5)

5b. (x-3)(2x+1)

6. 1/(3x-7)

7a. x = (-5,∞)

7b. x = (∞,2]

7c. x = (-3,7]

A mathematical expression is a phrase that has a minimum of two numbers or variables and at least one mathematical operation.

Let's examine the writing of expressions.

The other number is x, and a number is 6 greater than half of it.

As a mathematical expression, this proposition is denoted by the expression x/2 + 6.

Here the values of x has to be such that the denominator is not equal to zero.

So, x cannot be zero and x cannot be 1 as these two values in the respective questions will make the denominator zero.

a. 81x²-25

= 81x² + 45x-45x-25

=9x(9x+5)-5(9x+5)

= (9x-5)(9x+5)

b. 2x²-5x-3

= 2x² + x - 6x -3

= x(2x+1)-3(2x+1)

=(x-3)(2x+1)

Next, the intervals for x are as follows:

x = (-5,∞)

x = (∞,2]

x = (-3,7]

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The mean weight of an individual cauliflower being between 400 and 409 grams has a greater probability.

Standard deviation of the given data is 20 grams. The mean weight of the cauliflower is 400 grams. Now, for calculating the probability, we need to standardize the given mean weight of cauliflower. It will be as follows. Z-score for the mean weight of cauliflower is given as:

z = (X - μ) / σwhere X = 400 grams (mean weight of cauliflower)

μ = 400 grams (mean weight of the population)

σ = 20 grams (standard deviation)z = (400 - 400) / 20 = 0

Now, the probability of the mean weight of an individual cauliflower being between 400 and 409 grams is as follows:

P(400 < X < 409) = P(0 < Z < 0.45)

Using the standard normal distribution table, the probability is 0.1745.

The mean weight of a random sample of 36 of the cauliflowers is between 400 and 409 grams. The mean weight of a random sample of 36 of the cauliflowers is given by:

(X-μ)/ (σ/√n)where μ = 400 grams (mean weight of cauliflower)

σ = 20 grams (standard deviation)

n = 36 (number of samples)

Now, we need to standardize the sample mean. It will be as follows:

z = (X - μ) / (σ/√n)z = (400 - 400) / (20 / √36)

z = 0

As the z-score is zero, the probability will be equal to 0.5. Hence, the mean weight of an individual cauliflower being between 400 and 409 grams has a greater probability than the mean weight of a random sample of 36 of the cauliflowers being between 400 and 409 grams.

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The upper and lower 3-sigma control chart limits for this DNA sample data are UCL = 18.53 and LCL = 0

When we are given data on the DNA samples taken over the past 10 days, we can calculate the upper and lower 3-sigma control chart limits. The sample size is 100, and the defective number of DNA samples is given for each of the ten days.

The 3-sigma control limits for a process control chart can be calculated using the following formula: Upper control limit (UCL) = Mean + (3 × Standard Deviation) and Lower control limit (LCL) = Mean - (3 × Standard Deviation),where the mean is the average value of the data, and the standard deviation is the spread of the data around the mean.

Here, we need to calculate the mean and standard deviation of the defective samples for the past 10 days. The average number of defectives per day (mean) is (7+9+9+11+7+8+0+11+13+2) / 10 = 77 / 10 = 7.7

To calculate the standard deviation, firstly, calculate the variance: variance = sum of the squared differences from the mean divided by the number of samples = [tex][(7-7.7)^2 + (9-7.7)^2 + ... + (2-7.7)^2] / 10[/tex]  ≈ 13.01 2.. Now, take the square root of the variance which gives standard deviation. So, standard deviation = [tex]\sqrt{13.01\\}[/tex] ≈ 3.61

Using the 3-sigma rule UCL = Mean + (3 * Standard Deviation) = 7.7 + (3 * 3.61) ≈ 18.53    and   LCL = Mean - (3 * Standard Deviation) = 7.7 - (3 * 3.61) ≈ -3.13. However, since the LCL cannot be negative, we set it to 0 in this context. So, the upper and lower 3-sigma control chart limits are: UCL = 18.53 LCL = 0

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Answer:

$25.96

Step-by-step explanation:

Since the tip is 18% of the fare, he pays 118% of the fare.

118% of $22 =

= 1.18 × $22

= $25.96

Answer:

16

Step-by-step explanation:

First you figure out how many days are in 4 weeks which is 28. Then you do 448 divided by 28 which equals 16. There's your answer.

The probability that your class of 20 students will have a mean completion time greater than 60 minutes on the unit 5 test is of:

0%.

The z-score of a measure X of a normally distributed variable that has mean represented by [tex]\mu[/tex] and standard deviation represented by [tex]\sigma[/tex] is obtained by the equation presented as follows:

[tex]Z = \frac{X - \mu}{\sigma}[/tex]

The parameters for this problem are given as follows:

[tex]\mu = 48, \sigma = 15, n = 20, s = \frac{15}{\sqrt{20}} = 3.354[/tex]

The probability is one subtracted by the p-value of Z when X = 60, considering the standard error calculated with the Central Limit Theorem, hence:

Z = (60 - 48)/3.354

Z = 3.58

Z = 3.58 has a p-value of 1.

1 - 1 = 0.

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Answer:

Step-by-step explanation:

Standard: 2x^3 - 7x^2 -x-2

Quotient: 2x^3- 7x^2 -x-2

remainder: 0

we can say that the entries in the matrix are highly constrained, with only one unique value per row or column. The matrix is usually denoted as a scalar multiple of the identity matrix or a vector of constants, depending on whether it is row-wise or column-wise identical.

In the row-wise identical matrix, all entries in each row are the same, but the entries in different rows can be different.

In the column-wise identical matrix, all entries in each column are the same, but the entries in different columns can be different.

Thus, we can say that the entries in the matrix are highly constrained, with only one unique value per row or column. The matrix is usually denoted as a scalar multiple of the identity matrix or a vector of constants, depending on whether it is row-wise or column-wise identical.

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The process of trying out the resulting equation on a second sample to see if it still fits well is called “cross-validation”.

Cross-validation is a technique used to evaluate the performance of a statistical model on a new independent dataset, which was not used in training the model. This process helps to assess the generalization capability of the model and helps to determine whether the model is overfitting or underfitting the data. By testing the model on a new independent dataset, we can get a better idea of how well the model is likely to perform on new data in the future. Cross-validation can also help in selecting the best model from a set of competing models.

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Answer:

We can find the point that partitions line segment AB into a 3:6 ratio by using the formula for finding a point that divides a line segment into two parts in a given ratio.

Let's call the point we're looking for "P". According to the formula, the coordinates of point P can be found using the following equations:

x-coordinate of P = [(6 * x-coordinate of A) + (3 * x-coordinate of B)] / 9

y-coordinate of P = [(6 * y-coordinate of A) + (3 * y-coordinate of B)] / 9

Using the coordinates of points A and B given in the problem, we can plug them into these equations and simplify to find the coordinates of point P:

x-coordinate of P = [(6 * -1) + (3 * 2)] / 9 = 0

y-coordinate of P = [(6 * 2) + (3 * 5)] / 9 = 3.33 (rounded to two decimal places)

Therefore, the point that partitions line segment AB into a 3:6 ratio is approximately (0, 3.33), which is closest to option A: 4,5/3.

the length of the flower's stem after it was cut is 2/3 of a foot long.

Laura's flower has a stem that is 11/12 of a foot long. If she cuts 3/12 of a foot off the stem, we need to subtract 3/12 from 11/12 to find the length of the remaining stem. To subtract fractions with the same denominator, we simply subtract their numerators and keep the denominator the same. Therefore, we have:

11/12 - 3/12 = 8/12

We can simplify the fraction 8/12 by dividing both the numerator and the denominator by their greatest common factor, which is 4. Therefore, we have:

8/12 = (8 ÷ 4)/(12 ÷ 4) = 2/3

the fraction to show the length of the flower's stem after it was cut

To subtract fractions with the same denominator, we simply subtract their numerators and keep the denominator the same. Therefore, we have:

11/12 - 3/12 = 8/12

Therefore, the length of the flower's stem after it was cut is 2/3 of a foot long.

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Step-by-step explanation:

Total surface area is 2πr²+2πrh

2× 22/7 × 5/4× 5/4 + 2 × 22/7 × 5/4 × 11/4

continue like this to get your right answer

The value of x in this equation is -¼ so, the approximate solution to the equation "-1+3=12x+5" is (x = -¼).

As equation given is -1+3=12x+5

Thus, 2 = 12x+5

12x = -3

x = -3/12

x = -¼

Hence the value of x in this equation is -¼.

The equation for a linear equation in one variable is written as ax+b = 0, where a and b are two integers, and x is a variable. This equation has only one solution. For instance, the linear equation 2x+3=8 only has one variable. As a result, this equation has a single solution, x = 5/2. A linear equation with two variables, however, has two solutions.

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Therefore, the probability of getting a total of 7 is 6/36, which reduces to 1/6. The probability of getting a total of 8 is 5/36.

In mathematics, probability is a measure of the likelihood that an event will occur. It is usually expressed as a number between 0 and 1, with 0 indicating that the event is impossible and 1 indicating that the event is certain to occur. The probability of an event A is denoted by P(A), and it is defined as the ratio of the number of outcomes favorable to A, to the total number of possible outcomes in the sample space.

Here,

a) The sample space for tossing two fair dice can be represented as a table, where each row represents the outcome of one die, and each column represents the outcome of the other die. The sample space for this experiment would consist of all possible combinations of the two dice outcomes. Here's how the sample space table would look like:

       1 2 3 4 5 6

1 2 3 4 5 6 7

2 3 4 5 6 7 8

3 4 5 6 7 8 9

4 5 6 7 8 9 10

5 6 7 8 9 10 11

6 7 8 9 10 11 12

b) To find the probability of getting a total of 7 or 8, we need to count the number of possible outcomes that result in these totals, and then divide by the total number of possible outcomes in the sample space.

For a total of 7, there are 6 possible outcomes (1+6, 2+5, 3+4, 4+3, 5+2, 6+1).

=6/36

For a total of 8, there are 5 possible outcomes (2+6, 3+5, 4+4, 5+3, 6+2).

=5/36

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Complete question:

Two fair dice are tossed together once, what is:

a. draw the sample space for the following outcome

b. find the probability of getting a total of 7 and 8 ​

Answer:

Step-by-step explanation:

# elements = 292 - 268 - 1 = 23 elements

G has 2^23 subsets = 8388608

G has 2^23 - 1 proper subsets = 8388607