PLEASE HELP ASAP

At a local high school, the student population is growing at 12% a year. If the original population was 242 students, how long will it take the population to reach 300 students? Round to the nearest tenth of a year.

A. 0.7 Years
B. 3.2 Years
C. 1.9 Years

Answer:

c) 2700 m

Step-by-step explanation:

El atleta corre una carrera de 10 km.

Ya ha cubierto 7300 m. La distancia que queda por recorrer se puede encontrar restando 7300 m de 10 km.

10 km en metros son 10000 m (1 km = 1000 m)

Por lo tanto, la distancia que queda por recorrer es:

10000-7300 = 2700 m

The change in equilibrium real GDP is B220.

To calculate the change in equilibrium real GDP resulting from an increase in autonomous investment, we need to use the expenditure-output model. In this model, equilibrium real GDP (Y) is determined by the aggregate expenditure (AE), which is the sum of consumption (C), investment (I), government spending (G), and net exports (NX). The equation is:

Y = AE = C + I + G + NX

Given the information provided, let's calculate the initial equilibrium real GDP (Y) using the given values:

C = 80 + (9/10)Y

DI = 1800

G = 1600

TR = 10

T = (1/3)Y

Substituting the values into the equation:

Y = (80 + (9/10)Y) + 1800 + 1600 + 10 - (1/3)Y

Simplifying the equation:

Y = 3490 + (5/6)Y

Multiplying through by 6 to remove the fraction:

6Y = 6(3490) + 5Y

6Y = 20940 + 5Y

Y = 20940

The initial equilibrium real GDP is 20940.

Now, let's calculate the equilibrium real GDP after the B220 increase in autonomous investment (ΔI):

Y' = Y + ΔI

Substituting the values:

Y' = 20940 + B220

Calculating the change in equilibrium real GDP:

Change in Y = Y' - Y

Change in Y = (20940 + B220) - 20940

Change in Y = B220

The change in equilibrium real GDP is B220.

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To calculate the correlation between a similarity matrix and an ideal matrix, you can use the Pearson correlation coefficient. This involves taking the covariance between the two matrices and dividing it by the product of their standard deviations. The resulting correlation coefficient will give you a measure of how closely the two matrices are related. It is important to note that this measure assumes a linear relationship between the two matrices, and may not be appropriate for all types of data. Additionally, it is important to carefully consider the construction of the ideal matrix, as this can greatly impact the resulting correlation.
Hi! To calculate the correlation between a similarity matrix and an ideal matrix, you can use the Pearson correlation coefficient. Here's a brief explanation:

1. Create your similarity matrix and ideal matrix. Both should be square matrices with equal dimensions.
2. Convert both matrices into one-dimensional arrays by flattening them.
3. Calculate the Pearson correlation coefficient between the two arrays.

The Pearson correlation coefficient will range from -1 to 1, with -1 indicating a strong negative correlation, 0 indicating no correlation, and 1 indicating a strong positive correlation. A high positive correlation suggests that the similarity matrix aligns closely with the ideal matrix.

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Answer:

1/2

Step-by-step explanation:

7/8 rounds up to 1 and 6/11 rounds down to 1/2.  Thus , 7/1 - 6/11 is approximately 1 - 1/2, or 1/2

Answer:

40

Step-by-step explanation:

Answer:

x=5

hope it helps.....

Answer:

I got the answer from the Tutor.

Answer:

Step-by-step explanation:

x ( y/x) = y

x (x /y ) --// y

Answer:

Ratio of apple to banana is 2:1

Step-by-step explanation:

To find ratio of x type of one thing and y type of other thing we divide

x by y and ratio is written as

ratio = x:y

_________________________________

Number  of banana = 2

Number  of apples = 4

Ratio of apple to banana = Number  of apples :Number  of banana

Ratio of apple to banana = 4:2

since 4 is divisible by 2 , to get the ratio in simplest form

we divide both numerator and denominator by 2

Ratio of apple to banana = 4/2:2 /2 = 2:1

Thus,

Ratio of apple to banana is 2:1

Answer:

It's a matter of opinion. In my opinion you can hypothesize all you want, when  you get to do it in practice it's almost 100% garantee of failure or incomplete hypothesis. So testing is way more important IMO.

Step-by-step explanation:

Answer:

25m

Step-by-step explanation:

A square is a parallelogram having all sides equal. Hence, if Casey walked diagonally, she should have gone 25m as the rules of square states.

please mark brainliest

To differentiate the function f(x) = qx + r/sx + t, where q, r, s, and t are constants, the derivative is given by f'(x) = q - (r/s) * (1/x^2).

To differentiate the given function, we need to apply the rules of differentiation. Let's break down the steps:

1. Differentiate qx with respect to x: Since q is a constant, the derivative of qx is simply q.

2. Differentiate r/sx with respect to x: We can rewrite r/sx as r * (s * x)^(-1). Applying the power rule of differentiation, the derivative of (s * x)^(-1) is (-1) * (s * x)^(-1 - 1) * s = -s/x^2.

3. Differentiate t with respect to x: Since t is a constant, the derivative of t with respect to x is 0.

4. Combining the derivatives obtained from the previous steps, we have f'(x) = q - (r/s) * (1/x^2).

Therefore, the derivative of the given function f(x) = qx + r/sx + t, where q, r, s, and t are constants, is f'(x) = q - (r/s) * (1/x^2).

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Answer:

Step-by-anation:

Answer:

$3

Step-by-step explanation:

17 - 5 = 12 divided by 4 = 3

Answer:

$3

Step-by-step explanation:

17 - 5 = 12

12/4 = 3

The standard deviation of a point estimator is called the "standard error

What is standard deviation ?

Standard deviation is a statistical measure that describes the amount of variation or dispersion in a set of data. It is the square root of the variance, which is the average of the squared differences from the mean. A high standard deviation indicates that the data points are spread out over a wider range, while a low standard deviation indicates that the data points are clustered closer together. Standard deviation is commonly used in fields such as finance, engineering, and science to describe the variability of data and to make statistical inferences about a population based on a sample.

To calculate the standard deviation of a set of data, you can follow these steps:

Find the mean (average) of the data set.

For each data point, subtract the mean and square the result.

Sum the squared differences from step 2.

Divide the sum from step 3 by the number of data points minus one (this is called the sample variance).

Take the square root of the sample variance to get the standard deviation.

Here's an example using a set of data: 4, 6, 8, 10, 12

Find the mean: (4 + 6 + 8 + 10 + 12) / 5 = 8

For each data point, subtract the mean and square the result:

(4 - 8)² = 16

(6 - 8)²= 4

(8 - 8)² = 0

(10 - 8)² = 4

(12 - 8)² = 16

Sum the squared differences: 16 + 4 + 0 + 4 + 16 = 40

Divide by the number of data points minus one: 40 / 4 = 10 (sample variance)

Take the square root of the sample variance: sqrt(10) = approximately 3.16

Therefore, the standard deviation of the data set is approximately 3.16.

and The standard deviation of a point estimator is called the "standard error

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Answer:

14652

Step-by-step explanation:

calculator

Answer:

i THINK its 18.75% per year

Step-by-step explanation:

r = (1/8)((3,000/1200) - 1 ) = 0.1875

r = 0.1875 * 100 = 18.75

(dont take my word tho, u should double check yourself)

Yes, you can show significant differences using superscripts in an ANOVA (Analysis of Variance) single-factor test.

In an ANOVA test, superscripts are commonly used to indicate significant differences between the means of different groups or treatments.

Typically, letters or symbols are assigned as superscripts to denote which groups have significantly different means. These superscripts are usually presented adjacent to the mean values in tables or figures.

The specific superscripts assigned to the means depend on the statistical analysis software or convention being used. Each group or treatment with a different superscript is considered significantly different from groups with different superscripts. On the other hand, groups with the same superscript are not significantly different from each other.

By including superscripts, you can visually highlight and communicate the significant differences between groups or treatments in an ANOVA single-factor test, making it easier to interpret the results and identify which groups have statistically distinct means.

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The domain on which the graph described as in the image is increasing is to be determined; (-4, ∞).

It follows from the task content that the domain for which the function described by the graph is increasing is to be determined.

Since the graph is a quadratic function which opens upward and whose minimum point is at; x = -4.

Also, since a graph of a function, f(x) is increasing when f'(x) > 0.

Therefore, by observation the graph is increasing on the domain defined by; (-4, ∞).

Put simply, the function is increasing in the Domain; x > -4.

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Answer:

true because both other number is divisible by 21 other than 1,3,7 and 21

Answer:

ITO ANG GANTI KO SAYO HINDI KATANGGAP-TANGGAP YUNG GINAWA MO SA AKIN INUTIL KAAAA

Answer:

2xz + 2yz + xy    See Below

Step-by-step explanation:

In this room, you would have one pair of walls that have the same area and a second pair of walls that would have the same area.

The first pair would be the long wall (x) times the height (z).

The second pair would be the broad wall (y) times the height (z)

So you really have just two equations:

x times z = area of one wall

x times z = area of the opposite wall

y times z = area of the other wall

y times z = area of the opposite wall

Total wall area = (x times z) + (x times z) + (y times z) + (y times z)   OR

Total wall area = 2(x times z) + 2(y times z) OR

Total wall area = 2xz + 2yz

The ceiling would be the long wall (x) times the broad wall (y)

Ceiling area = x times y  OR   xy

Total area of all 4 walls and ceiling:

2xz + 2yz + xy

Answer:

665.58 miles per hour

Step-by-step explanation:

1431/2.15=665.58

Answer:

Step-by-step explanation:

12.5 x 9.4 = 117.5

Answer:

9. 60

10. 12

Step-by-step explanation:

9.

We need to find the least common multiple (LCM) of 12 and 15.

Here are two methods:

Method 1

List several multiples of each number until you find the smallest number that is a multiple of both.

Multiples of 12: 12, 24, 36, 48, 60, 72

Multiples of 15: 15, 30, 45, 60, 75

60 is the LCM of 12 and 15.

Answer: 60

Method 2

Find the prime factorization of both numbers.

12 = 2² × 3

15 = 3 × 5

The LCM is the product of the following factors:

Common and not common prime factors with greater exponent.

2 is not common. Use 2².

3 is common. Use 3.

5 is not common. Use 5.

LCM = 2² × 3 × 5 = 60

Answer: 60

10.

We need the LCM of 4 and 6.

I'll use the second method above which is prime factorization.

4 = 2²

6 = 2 × 3

LCM = 2² × 3 = 12

Answer: 12

Answer:

10t+2

Step-by-step explanation:

2-5t+8+5t-8

10t+2

Answer:

(0,3) (-1,0) im sorry if this is incorrect

Step-by-step explanation:

Answer:

yeah, im not sure

Step-by-step explanation:

Answer:

(6*10)/5

= 60/5

= 12

Step-by-step explanation:

Answer:

12

Step-by-step explanation:

6x / y

Let x = 10 and y = 5

6*10 / 5

60/5

12

The given figure represents a quadrilateral. The sum of the interior angles of a quadrilateral is equal to 360°. This is our working concept to solve for the value of x on the given figure. All we need to do is, to sum up, all the interior angles on the problem and their sum are equal to 360 °. This is written in an equation as

Simplify the equation and compute, we get

Hence, the value of x on the problem is 52 degrees.

Answer:

Hello,

None !!!

Step-by-step explanation:

\(f(x)=x(x+5)(x+2)\\=x(x^2+5x+2x+10)\\\\=x^3+7x^2+10x\\\)

The distribution of the sample mean of IQ scores is expected to be approximately normal with a mean of 122 and a standard deviation of 0.35, due to the Central Limit Theorem.

The distribution of the sample mean of IQ scores is expected to be approximately normal with a mean of 122 and a standard deviation of 0.35, due to the Central Limit Theorem. This theorem states that the sample means of any population will be approximately normally distributed, regardless of the population's original distribution, provided the sample size is sufficiently large. This is due to the fact that the sample means become increasingly less dependent on the individual scores and more dependent on the overall population distribution as the sample size increases. In this case, the population of adults has a mean IQ of 122 and a standard deviation of 5, and the sample size of 200 is large enough to produce a normal distribution for the sample mean. Therefore, the distribution of the sample mean of IQ scores is expected to be approximately normal with a mean of 122 and a standard deviation of 0.35.

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Answer:

62.8319 mi²

Step-by-step explanation:

The volume formula here is V = (area of base)(height),

If we fill in the given measurements, we get:

V = π(2 mi)²(5 mi) = 62.8319 mi²