Which days of the week have an even number of letters​

From the conversion of units using conversion factor, the real diameter of venus planet when model diameter 12.1 cm is equals to the 1200 kilometres.

We have Willam will build a planetary path for people to walk through the planetary path. He has two different scales for measurement. According to Scenario, he use 1 cm to 1000 km for representing the diameter of each planet. Also 1 m to 1000000 km for representing distance of the sun to each planet. We have to determine the diameter of venus .

Now, diameter of planet Venus in the model = 12.1 cm

As we have he use 1 cm in place of 1000 km. So, conversion factor for diameter from model to real is written as 1 cm = 1000 km. Therefore, real diameter of planet = 12.1 × 1000 km = 1200 km. Hence, required value is 1200 km.

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Theorem 10.18 states that the remainder R-Sn is bounded by the absolute value of the next term in the series, which is also the absolute value of the (n+1)th term. To determine how many terms of a given convergent series must be summed to ensure that the remainder is less than

[tex]10 { }^{ - 4} [/tex]in magnitude.

We are given an alternating series, and we need to estimate the error in using the nth partial sum to approximate the sum of the series. This is a useful tool for estimating the error in approximating the sum of a series.

To apply Theorem 10.18, we need to evaluate the nth partial sum for the given value of n and find the absolute value of the (n+1)th term. We can use these values to estimate the error in approximating the sum of the series.

This is a common question in numerical analysis and involves estimating the error in approximating the sum of a series and then choosing the number of terms needed to achieve a desired level of accuracy.

These problems involve using techniques from calculus and numerical analysis to estimate errors in approximating the sums of series. These concepts are important in many areas of mathematics and science, including statistics, physics, and engineering.

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Answer:

[tex]\frac{2}{15}[/tex]

Step-by-step explanation:

1. There are 9 balls in total in the first box, and 6 red balls in there so we would represent this as [tex]\frac{6}{9}[/tex] and that can be simplified to [tex]\frac{1}{3}[/tex] .

2. There are 5 balls in total in the second box, and 2 blue balls in there, so we would represent this as [tex]\frac{2}{5}[/tex] . This can't be simplified, so we leave it like that.

3. Because it's a consecutive event we multiply the probabilities, which gives us [tex]\frac{2}{15}[/tex] . This can't be simplified, and that gives us our answer.

To evaluate the expressions for z = 1 + i, we'll consider each part:

(a) zz (the product of z and its complex conjugate):
First, find the complex conjugate of z, which is the same as z but with the imaginary part negated: z* = 1 - i. Now, multiply z and z*:
z * z* = (1 + i)(1 - i) = 1 - i + i - i^2 = 1 - i^2 = 1 - (-1) = 1 + 1 = 2.

(b) Re(z) + Im(z) Z^2 + 2:
Re(z) is the real part of z, which is 1. Im(z) is the imaginary part of z, which is 1. Now, square z:
Z^2 = (1 + i)^2 = 1 + 2i + i^2 = 1 + 2i - 1 = 2i.
Finally, calculate Re(z) + Im(z) Z^2 + 2:
1 + 1(2i) + 2 = 1 + 2i + 2 = 3 + 2i.

So, the expressions evaluated are (a) zz = 2 and (b) Re(z) + Im(z) Z^2 + 2 = 3 + 2i.

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Answer:

A. The correct answer is B, the point where the most profit is made.

B. The correct answer is B, the price per pen where no profit is made.

C.

[tex]m = \frac{120 - 0}{3 - 6} = - \frac{120}{3} = - 40[/tex]

When the price of a pen increases by one dollar, the profit decreases by $40.

D. The domain of this graph given the situation is 0 < x < 6 because there is no profit (there is a loss) beyond those points.

Step-by-step explanation:

an = 7 + 2(n-1)

   or     an =  5 + 2n

The appropriate correlation coefficient for the following data is given by 0.95, option D.

A statistical indicator of the strength of a linear link between two variables is the correlation coefficient. Its values might range from -1 to 1. According to a correlation coefficient of 1, which indicates a completely negative or inverse association, values in one series increase as those in the other decline, and vice versa. A straight and completely positive relationship has a value of 1. When the correlation coefficient is 0, there is no linear relationship.

In both science and finance, correlation coefficients are used to measure the degree of relationship between two variables, components, or data sets. For instance, one may infer that there is a large positive connection between oil prices and forward returns on oil stocks since high oil prices are advantageous for crude producers. Based on market data, the correlation coefficient for these variables shows a modest and erratic association over long periods of time.

x = 9, 16, 24, 12, 5, 14

y = 6, 7, 10, 5, 2, 8

[tex]\mu_x[/tex] = 84/6 = 14

[tex]\mu_y[/tex]= 38/6 = 6.33

[tex]\sigma_x=\sqrt{\frac{\sum (x_i-\mu_x)^2}{n} }[/tex] = [tex]\sqrt{\frac{230}{6} } =6.1914[/tex]

[tex]\sigma_y=\sqrt{\frac{\sum (y_i-\mu_y)^2}{n} }[/tex] = [tex]\sqrt{\frac{37.33}{6} } =2.4944[/tex]

[tex]P_x_y=\frac{1}{n} [\frac{\sum(x_i-\mu_x)(y_i-\mu_y)}{\sigma_x.\sigma_y} ][/tex]

= 88/92.6643

= 0.9497

[tex]P_{xy}[/tex] = 0.95.

Therefore,  correlation coefficient for the following data is 0.95.

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Complete question:

Calculate the appropriate correlation coefficient for the following data. Participant Number of Books Read (Y) 2 3 4 Reading Speed Test Score (X) 9 16 24 12 5 18 6 7 10 5 2 8 5 6 O a. +0.49 O b. +0.23 OC -0.07 O d. +0.95

The correlation coefficient is calculated using the formula: r = (sum of the products of deviations from the mean) / ((n - 1) * Sx * Sy).

To calculate the correlation coefficient (r) for the given data, we first need to calculate the mean and standard deviation for both x and y, as well as the sum of the products of deviations from the mean.

x: reading speed test score

y: number of books read

n = 6

Mean of x (reading speed test score):

(x1 + x2 + x3 + x4 + x5 + x6) / n = (9 + 16 + 24 + 12 + 5 + 18) / 6 = 13.33

Mean of y (number of books read):

(y1 + y2 + y3 + y4 + y5 + y6) / n = (6 + 7 + 8 + 5 + 2 + 8) / 6 = 6.0

Standard deviation of x:

Sx = sqrt(((x1 - mean_x)^2 + (x2 - mean_x)^2 + ... + (x6 - mean_x)^2) / (n - 1))

= sqrt(((9 - 13.33)^2 + (16 - 13.33)^2 + ... + (18 - 13.33)^2) / 5)

= 6.27

Standard deviation of y:

Sy = sqrt(((y1 - mean_y)^2 + (y2 - mean_y)^2 + ... + (y6 - mean_y)^2) / (n - 1))

= sqrt(((6 - 6)^2 + (7 - 6)^2 + ... + (8 - 6)^2) / 5)

= 1.58

Sum of the products of deviations from the mean:

((x1 - mean_x) * (y1 - mean_y)) + ((x2 - mean_x) * (y2 - mean_y)) + ... + ((x6 - mean_x) * (y6 - mean_y))

= ((9 - 13.33) * (6 - 6)) + ((16 - 13.33) * (7 - 6)) + ... + ((18 - 13.33) * (8 - 6))

= 100.67

Now, we can use the formula for the correlation coefficient:

r = (sum of the products of deviations from the mean) / ((n - 1) * Sx * Sy)

r = 100.67 / ((6 - 1) * 6.27 * 1.58) = 0.846

Therefore, the correlation coefficient (r) for the given data is approximately 0.846.

The closest option given is 0.85, so we can choose option d. 0.85 as our answer.

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The frequency of this wave is 1 s⁻¹.

Since, We know that;

Frequency describes the number of waves that pass a fixed place in a given amount of time.

Given that;

A coiled spring with coils that are closely spaced then widely then closely then widely then closely, ending with a yellow line labeled 1 second.

We know that -

Frequency = 1 / Time period

f = 1/T

f = 1/1

f = 1 s⁻¹

Therefore, the frequency of this wave is 1 s⁻¹.

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a. The total number of possible committees is [tex]{10\choose 4} \times {14\choose 3} = 1001 \times 364 = 364364[/tex].

b. The number of committees on which the specific man and woman who refuses to serve on the committee are [tex]{8\choose 3} \times {9\choose 4} = 5040[/tex].

c. There are a limited number of combinations in which no two ladies are consecutive that is  [tex]4! \times {4\choose 3} 3! = 288[/tex].

(a) To form a committee of 7 people from 10 men and 9 women, we can choose 4 men out of 10 in [tex]{10\choose 4}[/tex] ways, and choose 3 more people from the remaining 5 men and 9 women in [tex]{14\choose 3}[/tex] ways. Therefore, the total number of possible committees is [tex]{10\choose 4} \times {14\choose 3} = 1001 \times 364 = 364364[/tex].

(b) If 1 woman refuses to be on the committee with a particular man, we can count the number of committees that do not include that particular man and that woman, and subtract that number from the total number of possible committees.

There are [tex]{9\choose 1}[/tex] ways to choose the woman who refuses to be on the committee with the particular man, and [tex]{8\choose 3}[/tex] ways to choose the remaining 3 women. There are [tex]{9\choose 4}[/tex] ways to choose 4 men out of the 9 remaining men.

Therefore, the number of committees that include the particular man and the woman who refuses to be on the committee is [tex]{8\choose 3} \times {9\choose 4} = 5040[/tex]. The total number of possible committees is [tex]{10\choose 4} \times {9\choose 3} = 12600[/tex]. Thus, the number of possible committees that do not include the particular man and the woman who refuses to be on the committee is 12600 - 5040 = 7560.

(c) There are [tex]{10\choose 4}[/tex] ways to choose 4 men out of the 10 men, and {9\choose 3} ways to choose 3 women out of the 9 women. The total number of possible ways to form a committee of 4 men and 3 women is [tex]{10\choose 4} \times {9\choose 3} = 12600[/tex]. To calculate the probability that no women are next to each other in the queue, we can count the number of arrangements where no two women are consecutive and divide it by the total number of possible arrangements. We can arrange the 4 men in a line in 4! ways, and arrange the 3 women in the 4 spaces between the men in [tex]{4\choose 3} 3![/tex] ways. Therefore, the number of arrangements where no two women are consecutive is [tex]4! \times {4\choose 3} 3! = 288[/tex]. The probability that no women are next to each other in the queue is 288/12600 = 0.0229, or about 2.29%.

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The first statement will be: Write each equation in slope-intercept form.

If we need to see if the lines are perpendicular or parallel or are intersecting, we need to check the slope first for that we need to convert the given equation of the line in slope-intercept form.

Therefore, it should be the first step to write the equation in slope-intercept form.

Hence, the first statement will be: Write each equation in slope-intercept form.

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To use Pascal's triangle to expand these expressions, we need to first write out the coefficients of each term in the expansion.

a) To expand (3x – 4)^n, we can use the nth row of Pascal's triangle, where the first term is 1 and each subsequent term is the sum of the two terms directly above it. For example, the third row of Pascal's triangle is: 1 2 1
So the expansion of (a + b)^3 is:
1a^3 + 3a^2b + 3ab^2 + 1b^3
Using this same pattern, we can expand (3x – 4)^n by using the nth row of Pascal's triangle as the coefficients. For example, to expand (3x – 4)^2, we use the second row of Pascal's triangle: 1 2 1
So the expansion is:
1(3x)^2 + 2(3x)(-4) + 1(-4)^2
Simplifying this gives:
9x^2 - 24x + 16
b) To expand (2x + 3y)^n, we can use the nth row of Pascal's triangle again. This time, the first term will be (2x)^n and the second term will be (3y)^0 = 1. The third term will be (2x)^(n-1)(3y)^1, and so on. For example, to expand (2x + 3y)^3, we use the third row of Pascal's triangle: 1 3 3 1
So the expansion is:
1(2x)^3 + 3(2x)^2(3y) + 3(2x)(3y)^2 + 1(3y)^3
Simplifying this gives: 8x^3 + 36x^2y + 54xy^2 + 27y^3

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The standard deviation of this sample of red blood cell counts is approximately 2.28.

To calculate the standard deviation of a sample, you can use the formula:

S = sqrt((Σ(xi - x)^2)/(n-1))

where:

Σ is the sum of

xi is the i-th data point

x is the sample mean

n is the sample size

So, for this sample of red blood cell counts:

n = 6

Σxi = 53 + 49 + 54 + 51 + 48 + 51 = 306

x = Σxi / n = 306 / 6 = 51

Now, we need to calculate Σ(xi - x)^2:

(53 - 51)^2 = 4

(49 - 51)^2 = 4

(54 - 51)^2 = 9

(51 - 51)^2 = 0

(48 - 51)^2 = 9

(51 - 51)^2 = 0

Σ(xi - x)^2 = 4 + 4 + 9 + 0 + 9 + 0 = 26

Now we can plug in these values to the formula for S:

S = sqrt((Σ(xi - x)^2)/(n-1)) = sqrt((26)/(6-1)) = sqrt(5.2) ≈ 2.28

So the standard deviation of this sample of red blood cell counts is approximately 2.28.

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Answer:

308

Step-by-step explanation:

The area of a rectangle is the length multiplied by the width.

14 x 22 = 308

Hope this helps!

Answer:

[tex]\Large \boxed{\boxed{\textsf{$7x+6y$}}}[/tex]

Step-by-step explanation:

To simplify this expression, we can 'collect like terms'. This is a way of simplifying algebraic expressions that involves combining terms with the same base pronumeral, and adding or subtracting them together.

First, we might start by rearranging the expression to make it more convenient:

[tex]\large \textsf{$4x+3x+7y-y$}[/tex]

Now, we collect the like terms:

[tex]\large \textsf{$7x+6y$}[/tex]

[tex]\large \textsf{$\therefore$ the simplified expression is: $\boxed{7x+6y}$}[/tex]

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Answer:

Step-by-step explanation:

2)x= -19  

3) a= -8  

4) x=8

5)x=4

6)n=13

7) k=0

8) p=17

9) b=15

10)n= -19

Answer: Perimeter: 60ft Area: 150ft^2

Step-by-step explanation:

Since the area of a triangle is equal to the (base*height)/2, you can take the values of each and turn it into an equation like this:

[tex]\frac{25\cdot12}{2}[/tex]

This comes out to be 150ft^2.

Next is the perimeter, which is all of the side lengths of a shape added together.

15+20 is equal to 35, then when you add 25 to it, you get 60.

This means the perimeter is 60 and the area is 150ft^2

For the logistic loss function, the gradients are given by:
a/aw1 = -(1/n) Σi=₁ xi1(yi - σ(wTxi + b))
a/aw2 = -(1/n) Σi=₁ xi2(yi - σ(wTxi + b))
a/ab = -(1/n) Σi=₁ (yi - σ(wTxi + b))
where σ is the sigmoid function.

Using the squared loss function given by
1/n Σi=₁ (wTx₁ + b − yi) ²,
we can calculate the squared loss for the current hyperplane by plugging in the values of w and b for the given hyperplane, and computing the average loss over all the training examples.

The gradient with respect to the first component of the weight vector (a/aw1) is given by:
a/aw1 = (2/n) Σi=₁ xi1(wTxi + b - yi)

The gradient with respect to the bias (a/ab) is given by:
a/ab = (2/n) Σi=₁ (wTxi + b - yi)

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Answer:

72r^3t^4

Step-by-step explanation:
* and x = times tables btw

First you'll want to rewrite the equation:
12r^3
18r^2t
24t^4

Then factor the monomial, 12r^3=2*2*3*r*r*r
18r^2t
24t^4

Finding the lease common multiple of the expressions, write the product of all factors the greatest number of times they appear in factorization.

12r^3=2*2*3*r*r*r
18r^2t=2*3*3*r*r*t
24t^4=2*2*2*3*t*t*t*t
Your answer is
2 x 2 x 2 x 3 x 3 x r x r x r x t x t x t
simplify it and you get
72r^3t^4

This means there must be a mistake in the given range or values. It's possible that the lower limit should be negative instead of 0, or that there is a typo in one of the values.

To find the probability of a standard normal distribution occurring in a given region, we need to use the standard normal distribution table. The table provides the area to the left of a given z-score.

In this case, we are given a range of z-scores, which is from 0 to 1.44. We want to find the probability of a standard normal distribution occurring in this range.

To use the table, we first find the area to the left of the upper limit of the range, which is 1.44. This value can be found in the first column of the table, under the row labeled 1.4 and the column labeled 0.04. The value in this cell is 0.4251.

Next, we find the area to the left of the lower limit of the range, which is 0. This value can be found in the first column of the table, under the row labeled 0 and the column labeled 0.00. The value in this cell is 0.5000.

To find the probability of a standard normal distribution occurring in the given range, we subtract the area to the left of the lower limit from the area to the left of the upper limit. That is:

P(0 < z < 1.44) = P(z < 1.44) - P(z < 0)

= 0.4251 - 0.5000

= -0.0749

The result is negative, which is not possible since probabilities are always between 0 and 1. This means there must be a mistake in the given range or values. It's possible that the lower limit should be negative instead of 0, or that there is a typo in one of the values.

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To turn on light 1, switches A, B, C, and D must all be on.

To determine which switches must be on for light 1 to function, we need to trace the path of the circuit from the battery to light 1 and see which switches need to be closed to complete the circuit.

Since this is a parallel circuit, the current can flow through multiple paths, and each light can have its own path to the battery. So, we need to identify the path that leads to light 1.

Starting at the battery, there are two paths that branch off, one leading to switch A and the other leading to switch B. Both switches must be closed for the current to flow through their respective paths.

From switch A, the current flows through light 2 and then to switch C. If switch C is open, then the current cannot flow to light 1. Therefore, switch C must be closed for light 1 to function.

From switch B, the current flows through light 3 and then to switch D. If switch D is open, then the current cannot flow to light 1. Therefore, switch D must be closed for light 1 to function.

Therefore, to turn on light 1, switches A, B, C, and D must all be on.

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since we don't have the value for b, we can't calculate the estimate for σ2.

a) Here is the complete ANOVA table:

b) To test the equality of the yield resulting from each of the 4 fertilizers, we can use the F-test. The null hypothesis is that the mean yield for all fertilizers is equal, and the alternative hypothesis is that at least one mean yield is different. The test statistic is the ratio of the mean square for the Fertilizer source of variation to the mean square for the Residuals source of variation:

F = (a/c-d) / (b/36)

We need to compare this F value to the critical F value at a significance level of alpha = 0.05 with degrees of freedom (3,36) from the ANOVA table or using a calculator. If the calculated F value is greater than the critical F value, we reject the null hypothesis and conclude that at least one mean yield is different.

Unfortunately, we don't have enough information to calculate the F value since we only have the sum of squares for the Fertilizer and Residuals sources of variation, not the actual values for a, b, c, and d.

c) To estimate the common variance σ2, we can use the mean square for the Residuals source of variation, which is b/36. Therefore, the estimate for the common variance is:

σ2 = b/36

However, since we don't have the value for b, we can't calculate the estimate for σ2.

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To find the equation of a line that is perpendicular to another line, we need to use the fact that the slopes of perpendicular lines are negative reciprocals of each other. So the equation of the line passing through (-4,3) and perpendicular to 1x + 3y = 5 is y = 3x + 15.

First, we need to find the slope of the given line. We can rearrange the equation 1x + 3y = 5 to get it in slope-intercept form (y = mx + b), where m is the slope and b is the y-intercept.

1x + 3y = 5

3y = -1x + 5

y = (-1/3)x + 5/3

So the slope of the given line is -1/3.

To find the slope of the line we want to write the equation for, we know that it must be the negative reciprocal of -1/3. So:

slope of perpendicular line = -1/(-1/3) = 3

Now we have the slope of the perpendicular line and a point it passes through (-4,3), so we can use point-slope form to write the equation:

y - y1 = m(x - x1)

where m is the slope we just found (3) and (x1, y1) is the given point (-4,3).

y - 3 = 3(x - (-4))

y - 3 = 3(x + 4)

y - 3 = 3x + 12

y = 3x + 15

So the equation of the line passing through (-4,3) and perpendicular to 1x + 3y = 5 is y = 3x + 15.

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The simplified expression includes the terms 3x2-28x+49 3x2–7x is  -21x + 49.


To simplify the expression, follow these steps:

Distribute the negative sign across the terms within the parentheses: 3x^2 - 28x + 49 - 3x^2 + 7x.

Combine like terms:
- (3x^2 - 3x^2) = 0x^2
- (-28x + 7x) = -21x
- (+49) = 49

Write the simplified expression: 0x^2 - 21x + 49.

Since 0x^2 is just 0, you can omit it from the expression. So the final simplified expression is: -21x + 49.

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Step-by-step explanation:

On Saturday, out of ( 370 + 433 + 465 = 1268)  ,   465 went to F&L

 465/1268   is the fraction that wen to F&L

      you might expect this fraction of 1500 to go there on Sunday

            1500  * 465/1268 =   550 people

Therefore, we can say with 96% confidence that the true difference in the averages between cows on the vitamins and cows not on the vitamins is between −2.82 and 105.40 pounds. Since the interval includes 0, we cannot conclude that the vitamins have a significant effect on the weight of the cows.

To calculate the confidence interval for the difference in the averages between cows on the vitamins and cows not on the vitamins, we need to calculate the mean and standard deviation for each group and then use the formula for a confidence interval for the difference between two means.

Let's denote the weight of the cows on vitamins as X1 and the weight of the cows not on vitamins as X2.

From the data, we can calculate the following:

- For cows on vitamins: mean = 1254.5 pounds, standard deviation = 146.27 pounds
- For cows not on vitamins: mean = 1203.21 pounds, standard deviation = 150.44 pounds

To calculate the confidence interval, we can use the following formula:

CI = (X1 - X2) ± t(alpha/2, df) * sqrt((s1^2/n1) + (s2^2/n2))

where X1 and X2 are the means of the two groups, s1 and s2 are the standard deviations of the two groups, n1 and n2 are the sample sizes for the two groups, df is the degrees of freedom (df = n1 + n2 - 2), t(alpha/2, df) is the t-value from the t-distribution with alpha/2 and df degrees of freedom.

For a 96% confidence interval, alpha = 0.04 and t(alpha/2, df) = 2.120. Plugging in the values, we get:

CI = (1254.5 - 1203.21) ± 2.120 * sqrt((146.27^2/19) + (150.44^2/19))
CI = 51.29 ± 54.11
CI = (−2.82, 105.40)

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If the population of the city in 2010 was 2 million and is growing at the rate of 0.5% a year. The population of the city n years after 2010 is equal to 1.005^n (2). The correct answer is 2nd option.

The population of the city in 2010 was 2 million and is growing at the rate of 0.5% a year. We need to find the population of the city n years after 2010.

The formula to calculate the population after n years is:

Population = Initial Population * (1 + growth rate)^n

In this case, the initial population is 2 million and the growth rate is 0.5% (or 0.005 in decimal form).

So the formula for the population n years after 2010 is:

Population = 2 * (1 + 0.005)^n

Simplifying the expression:

Population = 2 * (1.005)^n

Population = (1.005)^n(2)

Therefore,  the population of the city n years after 2010 is equal to (1.005)^n(2).

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Answer:

see explanation

Step-by-step explanation:

A

3x² + 36x ← factor out common factor of 3x from each term

= 3x(x + 12)

B

- 36x - 4x² ← factor out common factor of - 4x from each term

= - 4x(9 + x)

The financial statements accurately reflect the economic reality of the transaction and the carrying value of the non-current assets.

Issue 1:

Equity accounts are used in intragroup transactions to eliminate the effect of transactions between the parent and subsidiary companies when preparing consolidated financial statements. One example of using an equity account is when the parent company sells inventory to its subsidiary at a higher price than its cost. In this case, the subsidiary will record the inventory at the higher purchase price, resulting in a higher cost of goods sold and a lower profit. To eliminate this effect, an equity account called "Elimination of Unrealized Profit on Inventory" is created. Another example is when the parent company loans money to its subsidiary at a lower interest rate than the market rate. In this case, the subsidiary will record the loan at the lower interest rate, resulting in a lower interest expense and a higher profit. To eliminate this effect, an equity account called "Elimination of Unrealized Interest Income" is created.

Issue 2:

Even if the Parent company sells inventory to the Subsidiary company and sells 100% of this inventory to an external party by financial year-end, an elimination entry is still needed to eliminate the intragroup transaction. The elimination entry would involve the removal of the inventory sold to the subsidiary from the parent company's inventory account and the elimination of the corresponding payable from the subsidiary's account. The entries would look like this:

Parent's worksheet entry:

Inventory decrease: Debit

Elimination of intercompany payable: Credit

Subsidiary's worksheet entry:

Elimination of intercompany receivable: Debit

Cost of goods sold increase: Credit

Issue 3:

When a non-current asset is sold within the group, there is a need to adjust the depreciation and accumulated depreciation accounts to reflect the correct carrying value of the asset. This is because the carrying value of the asset at the time of sale is likely to be different from the original cost of the asset due to depreciation. The adjustment is made by removing the accumulated depreciation on the asset being sold and removing the cost of the asset from the balance sheet. The resulting gain or loss on the sale is then recorded separately. The tax effects of the gain or loss on the sale are also recorded separately. The entries would look like this:

Remove the sold asset from the balance sheet:

Accumulated depreciation: Debit

Asset cost: Debit

Gain or loss on sale: Credit

Record the tax effects:

Deferred tax liability or asset: Debit or Credit

Income tax expense: Credit or Debit

Gain or loss on sale: Credit or Debit

The adjustments to depreciation and accumulated depreciation are necessary to ensure that the financial statements accurately reflect the economic reality of the transaction and the carrying value of the non-current assets.

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Answer: B

Step-by-step explanation:

When current is inversely proportional to the resistance in a circuit, the current when the resistance is 90 ohms is equals to 0.540 Ampere.

In an electrical circuit, the current is inversely proportional to the resistance.

Resistance = 200 ohms

Current = 1.2 ampere

If resistance is 90 ohms then we have to determine the value of current. According to condition, I = kR ,

where, I --> current

k --> constant of Proportionality

R--> resistance

Now, the proportionality constant, k = I/R

=> k = 1.2/200

=> k = 0.006

So, value of current when resistance R = 90 ohms, for this plug in above equation,

=> I = 0.006 × 90

= 0.540

Hence, required value is 0.540 ampere.

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