PLEASE HURRRY!!!!!!!!!!!!!

Answer:

21x - 28

You would multiply 7 times 3x which is 21 x and then you would multiply 7 times -4 which is -28.

we can express the x coordinate as tsin(t) and the z coordinate as tcos(t). This gives us the vector parametrization of the curve: x = tsin(t), z = tcos(t).

we can express the x coordinate as tsin(t) and the z coordinate as tcos(t). This gives us the vector parametrization of the curve: x = tsin(t), z = tcos(t).

The xz-plane is the plane formed by the x-axis and the z-axis. To find a vector parametrization of a curve in this plane, we need to express the x and z coordinates of the curve as functions of a parameter t. In this case, we can express the x coordinate as tsin(t) and the z coordinate as tcos(t). This gives us the vector parametrization of the curve: x = tsin(t), z = tcos(t).

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Answer:

If Caeli  will use all of the fabric she has, the base of the flag should be of 4 feet.

Step-by-step explanation:

1. Let's review the information provided to answer the question correctly:

Area of the fabric Caeli  has and want to use and design = 10 square feet

Height of the rectangle of the rectangle shape = 2.5 feet

2.  What is the base of the flag if she will use all of the fabric she has?

Area of the shape of the rectangle = Height of the flag * Base of the flag

Replacing with the real values:

10 square feet = 2.5 feet * Base of the flag

10 square feet/2.5 feet = Base of the flag

Base of the flag = 4 feet

If Caeli will use all of the fabric she has, the base of the flag should be of 4 feet.

a)The radius of convergence is R = |-2 - (-πi)| = |-2 + πi| = √(2^2 + π^2) ≈ 3.146.b)The radius of convergence is R = |1 + i - i| = |1| = 1. c)The radius of convergence is R = |1 + i - i| = |1| = 1.

The radius of convergence of a Taylor series centered at a point z0 is the distance from z0 to the nearest singularity of the function.

(a) The function sinz/e^z has singularities at z = kπi for any integer k, and the nearest singularity to z0 = -2 is at z = -πi. Therefore, the radius of convergence is R = |-2 - (-πi)| = |-2 + πi| = √(2^2 + π^2) ≈ 3.146.

(b) The function 1/cosz' has singularities at z = (k + 1/2)π for any integer k, which are equidistant from z0 = 0. Therefore, the radius of convergence is R = π/2.

(c) The function z^2+1/(z−i) has a singularity at z = i, which is the nearest singularity to z0 = 1 + i. Therefore, the radius of convergence is R = |1 + i - i| = |1| = 1.

Note that these radii of convergence only guarantee convergence within the radius; the series may converge or diverge at the boundary.

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Answer:

lol put more points 8 too little bit

Answer:

1,3,5,6.

Step-by-step explanation:

ur welcome

The correct answer is c. Line graphs show the change in one or more variables progressively across time.

Histograms show the distribution of data, pie charts show the proportions of a whole, bar charts compare categories or groups, and diagrams show the relationships between different elements.

The correct answer is c. Line graphs show the change in one or more variables progressively across time

A histogram is a visual depiction of data distribution in statistics. The histogram is shown as a collection of neighbouring rectangles, where each bar represents a certain type of data. Numerous fields use statistics, which is a branch of mathematics. Frequency, which can be expressed as a table and is known as a frequency distribution, is the repeating of numbers in statistical data.

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Line graphs show the change in one or more variables progressively across time. C

A line graph is a type of chart that displays data as a series of data points connected by straight lines.

The horizontal axis of the graph typically represents time, while the vertical axis represents the value of the variable being measured.

By connecting the data points with lines, a line graph can show the trend or pattern of change in the variable over time.

Line graphs are commonly used in fields such as economics, finance, and science to visualize trends in data over time.

They can be used to identify patterns, compare different variables, or forecast future trends.

In contrast, histograms, pie charts, bar charts, and diagrams are different types of charts that are used to display data in different ways.

Histograms are used to show the distribution of data within a single variable, while pie charts and bar charts are used to compare different categories or groups of data.

Diagrams are used to represent complex systems or relationships, often using visual symbols or icons to represent different components.

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The confidence interval provides evidence that the true mean volume is likely to fall within a certain range, but it does not provide conclusive evidence that the true mean volume is equal to 12 ounces.

A confidence interval is a range of values that is likely to contain the true population mean with a certain level of confidence, usually 95%.

When it comes to the question of whether the confidence interval provides convincing evidence that the true mean volume is 12 ounces, the answer is no, it does not provide conclusive evidence.

The confidence interval provides a range of values that the true mean is likely to fall within, and just because the true mean is within the confidence interval, it does not mean that the true mean is exactly equal to 12 ounces.

Let's say the confidence interval for the mean volume is 11.5 to 12.5 ounces. This means that if we repeated our sample many times, 95% of those samples would have a mean that falls within this range.

However, it is still possible that the true mean volume is outside of this range, and the only way to know for sure is to collect more data or conduct a more comprehensive study.

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The cardinality of a set refers to the number of elements in the set. If the set X has cardinality 16 and the set Y has cardinality 24, then the number of elements in set X is 16 and the number of elements in set Y is 2.

If their intersection has cardinality 21, then the number of elements that both sets have in common is 21.To determine the number of elements contained in the union of X and Y, we need to subtract the number of elements in their intersection from the sum of the cardinalities of X and Y. That is,

|X U Y| = |X| + |Y| - |X ∩ Y| = 16 + 24 - 21 = 19

Therefore, the union of X and Y contains 19 elements.

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We can see that the coefficients of the expanded expression match the terms of the 5th row of Pascal's triangle.

To evaluate the given expression, we need to use Pascal's triangle to expand the expression (b+c)^4. The coefficients of the expanded expression will be the terms of the 5th row of Pascal's triangle.

Using the formula for the coefficients of the expanded expression, we get:

4(b)(c)^3 + 6(b)^2(c)^2 + 4(b)^3(c) + (b)^4

Comparing this expression to the 5th row of Pascal's triangle, we see that the coefficients are:

1 4 6 4 1

We can rearrange the terms to match the expanded expression:

(b)^4 + 4(b)^3(c) + 6(b)^2(c)^2 + 4(b)(c)^3 + (c)^4

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Answer:

J(x)

Step-by-step explanation:

Answer:

J(x)

Step-by-step explanation:

Answer:

C

Step-by-step explanation:

The answer is C because r =3 I got that because it says triples. a=5 it comes from when it says five files are infected. an=3an-1. an=5(3)n-1. Hope this helps!

By probability , S = {D, I, V, S, O, N}  is the sample space for choosing one card .

Describe probability using an example ?

A number between 0 and 1 is the probability of an event, where, broadly speaking, 0 denotes the event's impossibility and 1 denotes its certainty. The likelihood of an event occurring increases as its probability increases. The flip of a fair (impartial) coin serves as a straightforward illustration.

                             The probability formula states that the ratio between the number of favorable outcomes and the total number of outcomes determines the likelihood that an event will occur. The number of favorable outcomes divided by the total number of outcomes is the probability of an event occurring, or P(E).

S = {V, S, I, D, I, I, N, O}

S = {D, I, S, O, N}

S = {V, I, O}

S = {D, I}

S = {D, I, V, S, O, N}  is the sample space for choosing one card .

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Answer:

Connotation refers to the emotions or ideas that you think of when you read or hear a word

Dennotation means the literal meaning

Step-by-step explanation:

Answer: It is equidistant from the segment's endpoints

Step-by-step explanation:  This can also be called "a locus of point" and this is now the perpendicular bisector theorem.

Option A. is the correct answer  i.e. 0.02 dollars.

The cost of one ounce of 20-ounce soft drink can be calculated as:

Cost of 20-ounce soft drink = $1.80 / 20

                                               = $0.09

Similarly, the cost of one ounce of 12-ounce soft drink can be calculated as:

Cost of 12-ounce soft drink / 12= $1.32 / 12

                                                   = $0.11

Therefore, by purchasing the larger soda, the amount that can be saved per ounce is:

$0.11 - $0.09 = $0.02

So, the answer is $0.02

Hence, option A. is the correct answer.

Note: We can see that a 12-ounce soft drink costs more per ounce as compared to the 20-ounce soft drink.

Therefore, purchasing a 20-ounce soft drink is more cost-effective as compared to the 12-ounce soft drink.

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The family averages 24 miles per gallon, hence they will have to refill 3 times.

An average is simply a single data point chosen to represent a series of data, typically the sum of the elements divided by the sum of the numbers in the collection. For example, the average of the integers 2, 3, 4, 7, and 9 is 5.

A rate in mathematics is the ratio of two related variables stated in different units. If one of these variables is given as a single unit in the denominator of the ratio, and it is assumed that this quantity can be changed on a regular basis (i.e., is a variable and the independent), the numerator of the ratio expresses the corresponding rate of change in another (dependent) variable.

Total ride is one tank of gas = 18 × 24 = 432 miles.

Total distance =  945 ÷ 432 = 2.18 ≈ 3 (taking the greater value)

Hence it will be required to fill the tank 3 times to arrive at the destination.

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Number of students should be sampled to be within 0.5 drink of population mean with 95% probability is 617 students.

To determine the sample size required to estimate the population mean with a given level of precision, we can use the formula for the margin of error

Margin of error = Z × (standard deviation / sqrt(sample size))

where Z is the critical value of the standard normal distribution corresponding to the desired level of confidence. For a 95% confidence level, Z is 1.96.

We want the margin of error to be no more than 0.5 drinks, so we can set up the equation

0.5 = 1.96 × (6.3 / sqrt(sample size))

Solving for the sample size, we get

sqrt(sample size) = 1.96 × 6.3 / 0.5

sqrt(sample size) = 24.82

sample size = (24.82)^2

sample size = 617

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The probability that a piece selected at random and is defective given that it is known to be a plate is 0.0588 or 5.88%.

To calculate the probability, we need to use Bayes' theorem: P(defective|plate) = P(plate|defective) * P(defective) / P(plate).

Therefore, P(defective|plate) = 0.2 * 0.0227 / 0.0818 = 0.0588 or 5.88%.

The probability that a cup will be chosen given that it is defective is 0.4 or 40%.

To calculate the probability, we need to use the information given in the table:

Divide the number of defective cups by the total number of defective products: 10/25 = 0.4 or 40%.

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Complete Question:

The following table shows the relationship of 1100 pieces between good and defective made in a ceramic workshop

cup plate vase total

Good 830 85 1415

Defective 10 5

Overall 510 90

What is the probability that a piece is selected at random and is defective given that it is known to be a plate?

What is the probability that a cup will be chosen given that it is defective?

​

   y4 = sin x is the smallest positive integer n .

What is a positive integer, exactly?

What is a positive integer example?

A whole number, or a number whose decimal portion is 0, is another name for an integer. 72 is an illustration of a positive integer.

y = sin x

1 derivative of sin x -

y' =  cos x

2 derivative of cos x

y'' =  - sinx

3 derivative of sinx

y''' = - cos x

4 derivative of cos x

\(y^{(4)} = sinx\)

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The given statement: "Failure is explicitly defined to be the instant the part reaches the yield point" is false.

What is Yield Point?

The yield point is a certain level of stress or tension where a material begins to deform plastically. Beyond this point, if the material is loaded with additional force, it will experience plastic deformation. The material will deform elastically before the yield point if the load is less than the yield point. At the elastic limit, the material will return to its original shape upon removal of the load.

What is failure?

Failure is a mechanical concept that refers to a material's inability to support a load. Failure is when the applied load exceeds the material's strength. Failure is referred to as the point at which a component or system can no longer perform its intended function safely. It's important to note that the yield point and the point of failure are not the same thing.  Hence, the given statement "Failure is explicitly defined to be the instant the part reaches the yield point" is false.

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The Upper Control Limit = 0.151 and Lower Control Limit = 0.001.

Upper Control Limit and Lower Control Limit is defined as control Limits are calculated based on the amount of variation in the process you are measuring. One measure of variation is standard deviation. The mean +/- three standard deviations is an approach that is frequently used to determine control limits.

Given data

Sample number            Number detective                    Size of sample

1                                                5                                                50

2                                                2                                              50

3                                                4                                               50

4                                                6                                               50

5                                                2                                               50

Number of samples (N) = 5

Sample size (n) = 50

For two sigma limit, Z = 2.

Proportion defective (P-bar) = Number of defects / Total Number of observations

P-bar = Number of defects / (Number of samples x Sample size)

P-bar = (5 + 2 + 4 + 6 + 2) / (5 x 50)

P-bar = 19 / 250

P-bar = 0.076

Standard deviation of defective rate (Sp) = SQRT [P-bar x (1 - P-bar)] / n

Sp = SQRT [0.076 x (1 - 0.076)] / 50

Sp = 0.0375

Calculations for the Upper Control Limit (UCL) and Lower Control Limit (LCL) are as follows:

UCL = P-bar + (Z x Sp)

UCL = 0.076 + (2 x 0.0375)

UCL = 0.076 + 0.075

UCL = 0.151

LCL = P-bar - (Z x Sp)

LCL = 0.076 - (2 x 0.0375)

LCL = 0.076 - 0.075

LCL = 0.001

Therefore the  Upper Control Limit = 0.151 and Lower Control Limit = 0.001

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Answer:

Here it's this

Step-by-step explanation:

Answer:

60,000

Step-by-step explanation:

there are 60 mins in an hour

60 × 1000 = 60,000

i hope this helps :)

Answer:

x = 16

Step-by-step explanation:

9/12 = 12/x

9x = 144

x = 16

Answer:

tan45=X/12

X= 1×12

X=12

Answer:

you have to write the name of districts of province no. 7

The partial derivative diffusivity equation for spherical flow is ∂²p/∂r² + (1/r) ∂p/∂r = ϕμC/k ∂p/∂t, and for hemispherical flow, it is the same equation.

1. The partial derivative diffusivity equation for spherical flow is derived from the spherical coordinate system and applies to radial flow in a spherical geometry. It can be expressed as ∂²p/∂r² + (1/r) ∂p/∂r = ϕμC/k ∂p/∂t.

2. The partial derivative diffusivity equation for hemispherical flow is derived from the hemispherical coordinate system and applies to radial flow in a hemispherical geometry. It can be expressed as ∂²p/∂r² + (1/r) ∂p/∂r = ϕμC/k ∂p/∂t.

1. For the derivation of the partial derivative diffusivity equation for spherical flow, we consider a spherical coordinate system with the radial direction (r), the azimuthal angle (θ), and the polar angle (φ). By assuming steady-state flow and neglecting the other coordinate directions, we focus on radial flow. Applying the Laplace operator (∇²) in spherical coordinates, we obtain ∇²p = (1/r²) (∂/∂r) (r² ∂p/∂r). Simplifying this expression, we arrive at ∂²p/∂r² + (1/r) ∂p/∂r.

2. Similarly, for the derivation of the partial derivative diffusivity equation for hemispherical flow, we consider a hemispherical coordinate system with the radial direction (r), the azimuthal angle (θ), and the elevation angle (ε). Again, assuming steady-state flow and neglecting the other coordinate directions, we focus on radial flow. Applying the Laplace operator (∇²) in hemispherical coordinates, we obtain ∇²p = (1/r²) (∂/∂r) (r² ∂p/∂r). Simplifying this expression, we arrive at ∂²p/∂r² + (1/r) ∂p/∂r.

In both cases, the term ϕμC/k ∂p/∂t represents the source or sink term, where ϕ is the porosity, μ is the fluid viscosity, C is the compressibility, k is the permeability, and ∂p/∂t is the change in pressure over time.

These equations are commonly used in fluid mechanics and petroleum engineering to describe radial flow behavior in spherical and hemispherical geometries, respectively.

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Did you ever get the answer

Answer:

Im the king of answers

Step-by-step explanation:

The answer is A, C, and E

The probability of waiting exactly 5 minutes for the next bus, given a uniform distribution with a range of 0 to 15 minutes, is 1/15 that is option C.

Since the arrival time of the next bus is uniformly distributed between 0 and 15 minutes, we can find the probability of waiting exactly 5 minutes for the next bus by calculating the probability density function (PDF) at that specific point.

In a uniform distribution, the probability density function is constant within the range of possible values. In this case, the range is from 0 to 15 minutes, and the PDF is given by:

f(x) = 1 / (d - c)

where c is the lower bound (0 minutes) and d is the upper bound (15 minutes).

Substituting the values, we have:

f(x) = 1 / (15 - 0) = 1/15

Therefore, the probability of waiting exactly 5 minutes for the next bus is equal to the value of the PDF at x = 5, which is:

P(X = 5) = f(5) = 1/15

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Answer:

0.000285714286 or unless you ment 280 divided by 0.08 cuz thats a diferent question and would be 3500