Suppose that ř'(t) = < 12t, e0.25t, vt > and 7(0) = < 2, 1, 5 > . Find F(t) e r(t) = =

Step-by-step explanation:

using the formula :

2.d.s = V²-Vo²

2(-0.15) (60) = V² - (8.55)²

-18 = V² - 73.1

V² = 73.1 - 18

V² = 55.1

=> V = √55.1 = 7.4

so, the velocity when she ends the race =

7.4 m/s

Answer:

Would it be 1?

Step-by-step explanation:

I'm not that sure but it seems it goes up to 4 so 4- -3 = 1. Exuse me if my wrong..

Exercise caution when making predictions beyond the observed range of data, and consider factors such as data quality, model assumptions, and potential limitations.

To perform quadratic extrapolation of a time series, you can use a quadratic model to estimate or predict the value of z at a future time t+1. Here's how you can do it:

Collect your time series data up to time t and note down the corresponding values of z.

Fit a quadratic model to the available data points. The quadratic model has the form: z = at^2 + bt + c, where a, b, and c are coefficients that need to be determined.

Use regression techniques such as least squares regression to estimate the coefficients a, b, and c of the quadratic model using the available data.

Once you have the estimated coefficients, substitute the value t+1 into the quadratic model equation to predict the value of z at time t+1.

For example, if your quadratic model is z = 2t^2 + 3t + 1, and you want to predict the value of z at time t+1, you would substitute the value (t+1) into the equation:

z(t+1) = 2*(t+1)^2 + 3*(t+1) + 1

After evaluating this equation, you will obtain the predicted value of z at time t+1 based on the quadratic extrapolation of the time series.

It's worth noting that extrapolation carries some inherent uncertainty and assumes that the underlying patterns in the time series will continue in the future. Therefore, exercise caution when making predictions beyond the observed range of data, and consider factors such as data quality, model assumptions, and potential limitations.

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Answer:

Step-by-step explanation:

Since all points are on same line, AB and BC have same slope.

Use slope formula and compare:

Compare and solve for p:

Answer:

hope this helps <33 (55.460)

Step-by-step explanation:

 2.35

x 23.6

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

1      23

1 . 4 1 0

1    1

7 . 0 5 0

1

47 . 0 0 0

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

1

5 5 . 4 6 0

Answer:

b=3.4     so it is d

Step-by-step explanation:

Subtract 2.3  from both sides of the equation

b+2.3 = 5.7

b+2.3 - 2.3 = 5.7- 2.3

and the simply

The relationship between the angle of depression and the distance between the dock and anchor is θ = cos⁻¹(172/q)

Trigonometric ratio is used to show the relationship between the sides and angles of a right angled triangle.

Let θ represent the angle of depression and q the distance between the end of the dock and the anchor, hence:

cosθ = 172 / q

θ = cos⁻¹(172/q)

when q = 205 m, θ = cos⁻¹(172/205) = 33⁰

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Answer:

b(3b−10)(b−1)

Step-by-step explanation:

b(3b−10)(b−1)

Answer:

FE is not congruent to FG.

Step-by-step explanation:

FE is 49 and FG is 111.

So, because these two numbers are not equal,

FE is not congruent to FG.

To find the values of the variables \( a, b, c, \) and \( d \) in the given equation, we need to solve the system of linear equations formed by equating the corresponding elements of the two matrices.

The given equation is:

\[ \left(\begin{array}{cc}-4a & 2b \\ 4c & 6d\end{array}\right)-\left(\begin{array}{cc}b & 4 \\ a & 12\end{array}\right)=\le \]

By equating the corresponding elements of the matrices, we can form a system of linear equations:

\[ -4a - b = \le \]

\[ 2b - 4 = \le \]

\[ 4c - a = \le \]

\[ 6d - 12 = \le \]

To find the values of \( a, b, c, \) and \( d \), we solve this system of equations. The solution to the system will provide the specific values for the variables that satisfy the equation. The solution can be obtained through various methods such as substitution, elimination, or matrix operations.

Once we have solved the system, we will obtain the values of \( a, b, c, \) and \( d \) that make the equation true.

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Answer:I think it is 82.5

Step-by-step explanation:

Answer:

82.5

Step-by-step explanation:

2 hours= $165

1 hour= 2 hours/ 2.

so 1 hour of pay= 165/2= 82.5

The sample space may be limited or infinite, depending on the nature of the experiment. A sample point is a component of the sample space that symbolizes one potential experiment result.

The sample space may be limited or infinite, depending on the nature of the experiment. A sample point is a component of the sample space that symbolises one potential experiment result.

The sample space is a set in probability theory that includes all potential results of a random experiment. The set of all potential outcomes or outcomes of a random experiment is referred to as a sample space. The set 1, 2, 3, 4, 5, and 6 might be the sample space, for instance, if we are rolling a die.

A sample space is a group of items that in set theory represents all potential outcomes of a random event. Depending on the situation, either a finite or infinite sample space

A sample space is a group of items that in set theory represents all potential outcomes of a random event. Depending on the nature of the experiment, the sample space may be either finite or limitless. A sample point is a component of the sample space that symbolises one potential result of the experiment. As it offers a framework for defining and computing probabilities, the sample space is a basic idea in probability theory.

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The average rate of change of the function from x = 8 to x = 9 is given as follows:

-17.

The average rate of change of a function is given by the change in the output of the function divided by the change in the input of the function.

For quadratic functions, we have that the second differences are constant, hence, from the table, we have that:

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To determine the sample size needed for a desired margin of error, we need additional information such as the population size and the desired level of confidence. Without this information, it is not possible to calculate the exact sample size.

The sample size calculation involves considering factors such as the variability of the population, the desired level of confidence, and the margin of error. These factors help in determining the appropriate sample size to achieve the desired precision in estimating population parameters.

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how many customers must be sampled if he wants the confidence interval to have a margin of error of 0.06  ----------- g

The probability that any given bit received by the smartphone is erroneous is 1%, or equivalently, the probability that any given bit is correct is 99%.

The probability that the 27th bit is the first erroneous bit means that the previous 26 bits were all correct. The probability of this happening is:

P(all previous 26 bits are correct) = (0.99)^26

Now, given that the previous 26 bits were all correct, the probability that the 27th bit is erroneous is simply 1% or 0.01.

Therefore, the overall probability that the 27th bit received by the smartphone is the first erroneous bit is:

P(27th bit is first erroneous bit) = P(all previous 26 bits are correct) x P(27th bit is erroneous | all previous 26 bits are correct)

= (0.99)^26 x 0.01

= 0.0081 or approximately 0.81%

Answer:

3 it 3 you got to haryy up it 3

Answer: number  2

Step-by-step explanation:

From the equation 3x + 59 = 120, the unit cost of the shirts is $20.33.

An equation is a mathematical statement used to equate two mathematical expressions.

To demonstrate equality, equations use the equation symbol (=).

The total amount spent on new clothes = $120

The number of shirts bought = 3

The cost of the pair of pants bought = $59

Equation of the situation is 3x + 59 = 120,where x = the unit cost of the shirts.

3x + 59 = 120

Subtract 59 from both sides:

= 3x + 59 - 59 = 120 - 59

Simplify both equations:

3x = 61

Divide both sides by 3:

3x/3 = 61/3

x = 20.33

Thus, we can conclude that the equation for the new clothes Jennifer bought at the mall shows that each shirt costs $20.33.

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Answer:

Interval notation for m: (-3,3)

Inequality notation: -3<m<3

In words: Anything between -3 and 3 without including either -3 or 3.

Step-by-step explanation:

If we want no real roots then b^2-4ac must be less than 0.

a=1

b=2m

c=9

These values were found by comparing your equation to ax^2+bx+c=0.

b^2-4ac<0 is what we are trying to satisfy

(2m)^2-4(1)(9)<0

4m^2-36<0

Divide both sides by 4:

m^2-9<0

Add 9 on both sides:

m^2<9

m^2<9 when m<3 and m>-3.

Interval notation (-3,3).

Given statement would be, An exponential function is of the form f(x) = C(a^x) where a>0, a ≠ 1, a > 0, a≠1, and C≠0 are real numbers. The base a is the growth factor and C is the initial value.

In this question, we need to complete given statement 'An ___________ is of the form f(x) = C(a^x) where a>0, a ≠ 1, a > 0, a≠1, and C≠0 are real numbers. The base a is the _______ and C is the _______ '

We know that an exponential function is a function of the form  f(x) = a^x, where the input variable x is an exponent.

And the exponential growth function is a function that shows an increase within a population that occurs at same rate over time.

Therefore, An exponential function is of the form f(x) = C(a^x) where a>0, a ≠ 1, a > 0, a≠1, and C≠0 are real numbers. The base a is the growth factor and C is the initial value.

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The forecasting technique described is a moving average forecast, which uses a weighted average of past time-series values to predict future values.

The forecasting technique described in the question is called a moving average forecast.

A moving average forecast is a time series forecasting method that calculates the average of a fixed number of past observations to predict the value of the time series in the next period. It uses a weighted average approach where each observation is assigned a weight, and the weights are typically equal.

The process involves selecting a window size, which determines the number of past observations to include in the average. For example, if the window size is set to three, the forecast for the next period will be the average of the three most recent observations. As new observations become available, the oldest observation is dropped, and the newest observation is added to the calculation. This allows the forecast to be continuously updated as new data is obtained.

The moving average forecast is a relatively simple technique that can be useful for identifying trends or patterns in a time series. However, it may not capture more complex relationships or seasonality present in the data. It is often used as a baseline or starting point for more sophisticated forecasting methods.

Other forecasting techniques mentioned in the answer choices include regression analysis, single exponential smoothing, and grassroots forecasting. Regression analysis involves using statistical techniques to model the relationship between a dependent variable and one or more independent variables. Single exponential smoothing is a method that assigns exponentially decreasing weights to past observations. Grassroots forecasting involves obtaining predictions from individuals or groups with domain expertise or local knowledge. These techniques have different underlying principles and may be more appropriate in certain situations depending on the nature of the data and the forecasting problem at hand.

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Answer:

C.

Step-by-step explanation:

hope this helps!! :)

Answer: i think c

Step-by-step explanation:

I think it is exactly 90ft

Answer:

2.4

Step-by-step explanation:

42 rounds to 40

6*4/10=2.4

Answer:

A should be correct

Step-by-step explanation:

hope this helps

Answer: 0.1

Step-by-step explanation: the solution of the given differential equation using Euler's modified method is y = 1.111 for x = 0.1.

The gradient vector field of function f(x,y) is given as follows:

grad(f(x,y)) = (1 + 3xy)e^(3xy) i + 3x²e^(3xy) j.

Suppose that we have a function defined as follows:

f(x,y).

The gradient function is defined considering the partial derivatives of function f(x,y), as follows:

grad(f(x,y)) = fx(x,y) i + fy(x,y) j.

In which:

The function in this problem is defined as follows:

f(x,y) = xe^(3xy).

Applying the product rule, the partial derivative relative to x is given as follows:

fx(x,y) = e^(3xy) + 3xye^(3xy) = (1 + 3xy)e^(3xy).

Applying the chain rule, the partial derivative relative to y is given as follows:

fy(x,y) = 3x²e^(3xy).

Hence the gradient vector field of the function is defined as follows:

grad(f(x,y)) = (1 + 3xy)e^(3xy) i + 3x²e^(3xy) j.

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A) The probability that a randomly selected parcel will take longer than 33 minutes to deliver is approximately 0.4013.

B) The probability that a randomly selected parcel will take less than 26 minutes to deliver is approximately 0.0912.

C) The minimum delivery time for the 2.5% of parcels with the longest time to deliver is approximately 36.6 minutes.

D) The maximum delivery time for the 10% of parcels with the shortest time to deliver is approximately 23.18 minutes.

The probability that a randomly selected parcel will take longer than 33 minutes to deliver is approximately 0.4013. This means that there is a 40.13% chance that a randomly selected parcel will exceed the 33-minute delivery time. The normal distribution model with a mean of 30 minutes and a variance of 25 minutes (squared) allows us to calculate this probability.

Similarly, what is the probability that a randomly selected parcel will take less than 26 minutes to deliver?

The probability that a randomly selected parcel will take less than 26 minutes to deliver is approximately 0.0912. This indicates that there is a 9.12% chance that a randomly selected parcel will be delivered within 26 minutes. The normal distribution model helps us determine this probability based on the given mean and variance.

The minimum delivery time for the 2.5% of parcels with the longest time to deliver is approximately 36.6 minutes. This means that only 2.5% of parcels will take longer than 36.6 minutes to be delivered. Understanding the minimum delivery time for extreme values allows the courier service company to plan and manage their operations effectively.

The maximum delivery time for the 10% of parcels with the shortest time to deliver is approximately 23.18 minutes. This indicates that 10% of the parcels will be delivered within 23.18 minutes or even faster. Knowing the upper limit for faster delivery times allows the courier service company to set expectations and provide efficient service to their customers.

Lastly, what is the minimum delivery time for the 2.5% of parcels with the longest time to deliver?

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3 milliliters.

Step-by-step explanation:

3 because 12÷4=3 and he made enough for 4.