can someone tell me what's happening here? jk don't just help me answer this plzzzzz

7x+4-2x=6(x+1)-x

Answer:

-4, quick maths, nahh they all /4

Step-by-step explanation:

The three possibilities that Damon can use as the common factor for equivalent expression are y(5xz + 3z + 2x), z(5xy + 3y + 2x) and  xy(5z + 3 + 2z).

To discover a common figure for 60xyz+36yz+24xy, we have to be discover the Greatest Common Factor (GCF) of the coefficients 60, 36, and 24, and the factors x, y, and z.

The GCF of the coefficients 60, 36, and 24 is 12. Able to calculate out 12 from each term:

60xyz+36yz+24xy = 12(5xyz + 3yz + 2xy)

Presently, we ought to discover a common calculate for the remaining components, 5xyz + 3yz + 2xy. Here are three conceivable outcomes:

Calculate out y:

5xyz + 3yz + 2xy = y(5xz + 3z + 2x)

Calculate out z:

5xyz + 3yz + 2xy = z(5xy + 3y + 2x)

Calculate out xy:

5xyz + 3yz + 2xy = xy(5z + 3 + 2z)

So, Damon may utilize any of these three conceivable outcomes as the common calculate for an proportionate expression.

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Answer:

A. DEF=EDF

Step-by-step explanation:

There will be 350 different haiku that can be made with the given words.

In this case, there are 5 syllables in the first line, 7 syllables in the second line, and 5 syllables in the last line, so the number of different haiku is given by the number of combinations of 3 elements taken from the set containing 5 elements (for the first and last lines) and 7 elements (for the second line), respectively.

This can be calculated as:

C(5,3) * C(7,3) = 10 * 35

= 350

So, there are 350 different haiku that can be made with the given words.

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The temperature will be at its coldest after 4 hours. This can be found by solving T'(h)=2h-8=0, which gives h=4.

To find the number of hours until the temperature is at its coldest, we need to find the x-intercepts of the quadratic equation. This can be done by setting the equation equal to 0 and solving for x. After setting T(h) = 0, we can use the quadratic formula to solve for h.

T(h)=\(h^{2}\)-8h+12

T(h)=0

h = (8 +/- sqrt(64-48))/2

h = (8 +/- 4)/2

h = 4, 12

At 4 hours and 12 hours, the temperature is at its coldest. Therefore, it will take 8 hours until the temperature is at its coldest.

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The time vector for a 2-second signal with a sampling rate of 1000 Hz can be created using the formula t = [0:1/fs:2], where fs is the sampling rate (1000 Hz).

The formula for creating a time vector based on a sampling rate of 1000 Hz for a 2-second signal is t = [0:1/fs:2], where fs is the sampling rate (1000 Hz) and t is the time vector. The calculation is as follows: t = [0:1/1000:2] = [0, 0.001, 0.002, 0.003, 0.004, ..., 1.999, 2.000]. So, the time vector for a 2 second signal at 1000 Hz sampling rate is [0, 0.001, 0.002, 0.003, 0.004, ..., 1.999, 2.000].

The formula for creating a time vector based on a sampling rate of 1000 Hz for a 2-second signal is t = [0:1/fs:2], where fs is the sampling rate (1000 Hz) and t is the time vector. The resulting time vector is [0, 0.001, 0.002, 0.003, 0.004, ..., 1.999, 2.000], which can be used to create a 2-second signal with a sampling rate of 1000 Hz.

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The conclusion that we now make about the result of adding a rational and an irrational number is that the sum of any rational number and any irrational number will always be an irrational number.

Irrational numbers cannot be stated as a fraction, although rational numbers can be expressed as ratios (such as P/Q and Q). However, both of the numbers are genuine and can be shown on a number line.

It should be noted that the conclusion that we now make about the result of adding a rational and an irrational number is that the sum of any rational number and any irrational number will always be an irrational number.

For example, we can conclude that ½+√2 is irrational.

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Answer: its 30

Step-by-step explanation:

Answer:

nayan plays for 45 min

Step-by-step explanation:

count up

Answer:

The answer is either 45 minutes or 90 minutes / 1 and a half hours

Step-by-step explanation:

You either add the two times together, as he plays for 45 minutes at one time and another 45 minutes at a later time. I'm not sure if the question is asking for the sum or how much time he plays for as an average because they are both 45 minutes.

To find the percentage, we can use the following formula:

Percentage = (Part / Whole) * 100

So, $131,701.32 is approximately 16.67% of $790,207.91.

In this case, the part is $131,701.32 and the whole is $790,207.91.

Percentage = ($131,701.32 / $790,207.91) * 100

Calculating the value:

Percentage ≈ 0.1667 * 100

Percentage ≈ 16.67%

Therefore, $131,701.32 is approximately 16.67% of $790,207.91.

Alternatively, we can calculate the percentage by dividing the part by the whole and multiplying by 100:

Percentage = ($131,701.32 / $790,207.91) * 100 ≈ 0.1667 * 100 ≈ 16.67%

So, $131,701.32 is approximately 16.67% of $790,207.91.

If you have any further questions, feel free to ask!

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Let me teach u a trick :

From now on if u see any number divided by 5 , multiply it by 2 then put a dot on the left side of the first digit from right to left look :

\(42 \div 5 = \)

\(42 \times 2 = \)

\(84 = \)

\(8.4\)

Another example :

\(73 \div 5 = \)

\(73 \times 2 = \)

\(146 = \)

\(14.6\)

Your turn :

\(54 \div 5 = ?\)

True. Comparing two marginal distributions can show if the corresponding two variables are related. This can be done by calculating the correlation coefficient of the two variables.

The correlation coefficient is a numerical measure of the degree of the linear relationship between two variables and can be calculated by dividing the covariance of the two variables by the product of their standard deviations. The correlation coefficient ranges from -1 to 1, where -1 indicates a perfect negative correlation, 0 indicates no correlation and 1 indicates a perfect positive correlation.

If the correlation coefficient is close to zero, then the two variables are not significantly related. If the correlation coefficient is close to -1 or 1, then it can be inferred that the two variables are related.

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The probability of the team having at most 1 injury in the game can be calculated using a Poisson distribution.

To find the probability of the team having at most 1 injury in a typical football game, we can use a Poisson distribution. The Poisson distribution is commonly used to model the occurrence of rare events, such as injuries in this case.

The parameter for the Poisson distribution is the average number of injuries per game, which is given as 3.2.

Let's denote the random variable X as the number of injuries in a game. We need to calculate the probability P(X ≤ 1), which represents the probability of having at most 1 injury.

Using the Poisson distribution formula, we can compute this probability:

P(X ≤ 1) = P(X = 0) + P(X = 1)

Using the Poisson probability mass function, we substitute the values into the formula and calculate the probability.

The result will be the probability that the team will have at most 1 injury in the game.

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Answer:

45/5 or 45

Step-by-step explanation:

5x9=45   45/9=9

so therefore there are 45 , 1/5 in 9

The number of times a fraction number 1/5 is present in the integer number 9 will be 45 times.

Algebra is the study of abstract symbols, while logic is the manipulation of all those ideas.

The acronym PEMDAS stands for Parenthesis, Exponent, Multiplication, Division, Addition, and Subtraction. This approach is used to answer the problem correctly and completely.

The number of times a fraction number 1/5 is present in the integer number 9 is calculated by the division of the number 9 by the fraction number 1/5. Then we have

⇒ 9 / (1/5)

⇒ 9 x 5

⇒ 45

The number of times a fraction number 1/5 is present in the integer number 9 will be 45 times.

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Answer:

$15.98

Step-by-step explanation:

25% off means it is 75% of its normal cost

0.75 x 20 = 15

The scarf is $15 after 25% discount. Then we calculate its final cost after tax:

6.5% = 0.065

1.065 x 15 = 15.975 which rounds to $15.98

Answer: 15.98

Step-by-step explanation: 25% off 20 is 15. 6.5% times 15 is .98 so the answer is 15.98

To find the y-intercept of the function k(x) = 3x^4 + 4x^3 - 36x^2 - 10, we evaluate the function at x = 0. The y-intercept is the point where the graph of the function intersects the y-axis. In this case, the y-intercept is -10.

The y-intercept of a function is the value of the function when x = 0. To find the y-intercept of the function k(x) = 3x^4 + 4x^3 - 36x^2 - 10, we substitute x = 0 into the function:

k(0) = 3(0)^4 + 4(0)^3 - 36(0)^2 - 10

= 0 + 0 - 0 - 10

= -10

Therefore, the y-intercept of the function is -10. This means that the graph of the function k(x) intersects the y-axis at the point (0, -10).

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Answer:

I want to say your answer is option B.

Characteristics of a scientific measuring tool consist of:

Measure Ability

Usability

Validity

Reliability

Practicability

Essentially the measuring tool needs to be accurate.

Looking at the options, the answer that fulfills these requirements is Option A.

Best of Luck!

the measure of the angle between the vectors u and v is 45 degrees.

To find the measure of the angle between two vectors, u and v, we can use the dot product formula:

u · v = |u| * |v| * cos(θ)

where u · v is the dot product of u and v, |u| and |v| are the magnitudes of u and v respectively, and θ is the angle between u and v.

First, let's calculate the dot product of u and v:

u · v = (-7)(-4) + (0)(4) = 28

Next, let's calculate the magnitudes of u and v:

|u| = √((-7)² + 0²) = √49 = 7

|v| = √((-4)² + 4²) = √32 = 4√2

Substituting these values into the dot product formula:

28 = (7)(4√2) * cos(θ)

Now, solve for cos(θ):

cos(θ) = 28 / (7 * 4√2) = 2 / √2 = √2

To find the angle θ, we can take the inverse cosine (cos^(-1)) of √2:

θ = cos⁻¹(√2)

Using a calculator, the value of cos⁻¹(√2) is approximately 45 degrees.

Therefore, the measure of the angle between the vectors u and v is 45 degrees.

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Complete question is below

Find the measure of the angle between the two vectors. u = -7i and v = -4i + 4j

The answer is (d) no, because grade level is a lurking variable which may well be confounded with the variables under consideration.

The experimental design described in the scenario is not ideal for determining a cause-and-effect relationship between reading and academic performance. The design lacks proper control and fails to address the potential influence of lurking variables, specifically grade level. Grade level could be a confounding variable, meaning it may be associated with both the amount of reading and the academic performance of the students.

In this experiment, different grade levels are assigned to different conditions: eighth graders with extra reading time, seventh graders with extra reading time, and sixth graders with no extra reading time (control group). The issue arises because each grade level could have different levels of academic readiness, maturity, or other factors that could impact their performance. Therefore, any differences in the mean academic performance observed among the groups could be attributed to grade level rather than the intervention itself.

To address this, the experiment could be improved by randomly assigning students from each grade level to the different conditions. This randomization would help ensure that any differences observed in academic performance are more likely to be due to the extra reading time rather than the inherent differences between grade levels.

Overall, the experimental design needs to account for the potential confounding effect of grade level to establish a stronger cause-and-effect relationship between reading time and academic performance.

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The probability that x is between 11 and 35 is approximately 0.6826 or 68.26%.

To find the probability that x is between 11 and 35, we need to standardize the values using the formula z = (x - μ) / σ, where μ is the mean and σ is the standard deviation.
For x = 11, z = (11 - 23) / 12 = -1.00
For x = 35, z = (35 - 23) / 12 = 1.00
Using a standard normal distribution table or calculator, we can find the probability of z being between -1.00 and 1.00, which is approximately 0.6827. Therefore, the probability that x is between 11 and 35 is approximately 0.6827.
To find the probability that x is between 11 and 35 for a normally distributed random variable with a mean of 23 and a standard deviation of 12, you'll need to use the z-score formula and a standard normal distribution table.
First, convert the given values of 11 and 35 to their respective z-scores using the formula:
z = (x - mean) / standard deviation
For 11: z1 = (11 - 23) / 12 = -1
For 35: z2 = (35 - 23) / 12 = 1
Now, refer to a standard normal distribution table to find the probabilities corresponding to z1 and z2.
P(z1) ≈ 0.1587
P(z2) ≈ 0.8413
Finally, subtract the two probabilities to find the probability that x lies between 11 and 35:
P(11 < x < 35) = P(z2) - P(z1) = 0.8413 - 0.1587 = 0.6826
So, the probability that x is between 11 and 35 is approximately 0.6826 or 68.26%.

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Answer:

cylinder

Step-by-step explanation:

We can calculate the total system reliability by combining the reliability of the parallel and series components. So the total system reliability, rounded to four decimal places, is approximately 0.6742.

To determine the total system reliability, we can use Equations 5.2 and 5.3.

Equation 5.2 calculates the reliability of parallel components, while Equation 5.3 calculates the reliability of series components.

Given the individual component reliabilities of \(A = 0.94, B = 0.81, and C = 0.90\) , we can calculate the reliability of the parallel components first.

Using Equation 5.2: \(Rp = 1 - (1 - A)(1 - B)\)
\(Rp = 1 - (1 - 0.94)(1 - 0.81)\\   = 1 - (0.06)(0.19)\\   = 1 - 0.0114\\   ≈ 0.9886\)
Now, we can calculate the reliability of the series components using Equation 5.3:

\(Rs = A * B * C\\Rs = 0.94 * 0.81 * 0.90\\   ≈ 0.6822\)

Finally, we can calculate the total system reliability by combining the reliability of the parallel and series components:

Total System Reliability = Rp * Rs

Total System Reliability

\(= 0.9886 * 0.6822\\                                 ≈ 0.6742\)

Therefore, the total system reliability, rounded to four decimal places, is approximately 0.6742.

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All of the choices of answers are reasons for taking a sample rather than a census. Reasons for taking a sample instead of a census include:

A census is a comprehensive count of a population. It is conducted by national governments to collect demographic, economic, and other types of data about a population.

The data collected in a census can be used to inform public policy, allocate resources, and plan for the future. The US census is conducted every 10 years and is used to determine the number of representatives each state has in the House of Representatives. In addition to the national census, many countries also conduct local censuses. These are typically used to collect data about local populations, such as population density, economic activity, housing, and education.

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The check for independence in a one- sample is

The population size is further than 10 times the sample size.

The Correct option is D.

What is Z- test?

A Z- test is a statistical thesis test used to determine whether a sample mean significantly differs from a given population mean when the population standard divagation is known.

For a one- sample z- test for a population proportion, the sample is named without relief from a finite population.

In order for the test to be valid, it's necessary to insure that the sample is small relative to the population size.

still, it can be considered large enough to satisfy the independence supposition, If the population size is further than 10 times the sample size. This supposition is necessary for the validity of statistical conclusion in this environment.

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