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Maslowich
1 year ago
12

Vertical analysis

Mathematics
1 answer:
navik [9.2K]1 year ago
8 0

a) A vertical analysis of the income statement for AT&T is as follows:

                                                      AT&T        Percent

Revenue                                     $132,447        100%

Cost of Services (Expenses)         60,611        45.8%

Selling & Marketing Expense      39,697       30.0%  

Depreciation & other expenses 20,393        15.4%

Operating Income                       $11,746         8.9%

b) A vertical analysis of the income statement for Verizon is as follows:

                                                    Verizon      Percent

Revenue                                     $127,079       100%

Cost of Services (Expenses)         49,931        39.3%

Selling & Marketing Expense        41,016       32.3%

Depreciation & other expenses   16,533       13.0%

Operating Income                      $19,599       15.4%

<h3>What is a vertical analysis?</h3>

A financial statement vertical analysis is a comparison of each line item on the financial statement as a percentage of the base figure.

For the income statement, the base figure is the revenue, which is set to 100%.  For the balance sheet, the base figure is the total assets or total liabilities and equity, which are set to 100%.

The vertical analysis uses the following formula = Financial statement line item divided by the total base figure X 100.

                                                      AT&T     Percent

Revenue                                     $132,447  100% ($132,447/$132,447 x 100)

Cost of Services (Expenses)         60,611  45.8% ($60,611/$132,447 x 100)

Selling & Marketing Expense      39,697  30.0% ($39,697/$132,447 x 100)

Depreciation & other expenses 20,393   15.4% ($20,393/$132,447 x 100)

Operating Income                       $11,746    8.9% ($11,746/$132,447 x 100)

                                                    Verizon    Percent

Revenue                                     $127,079  100% ($127,079/$127,079 x 100)

Cost of Services (Expenses)         49,931   39.3% ($49,931/$127,079 x 100)

Selling & Marketing Expense        41,016  32.3% ($41,016/$127,079 x 100)

Depreciation & other expenses   16,533  13.0% ($16,533/$127,079 x 100)

Operating Income                      $19,599  15.4% ($19,599/$127,079 x 100)

Learn more about the vertical analysis at brainly.com/question/14115729

#SPJ1

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Independent variables are things that can stand alone. Which set of these variables does not rely on each other?  For example the income and savings. I want 1,000,000 in my savings account, however my income is not nearly that high since I only make 19,000. Look at the other pairs and see if there is a correlation between them. 
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Answer:

Each person would have to contribute to contribute $385 to pay a 1.5 deficit.

Step-by-step explanation:

To determine:

How much would each person have to contribute to pay a 1.5 deficit if United States facing a budget deficit of 1.5 billion and 3.9 million population?

Fetching Information and Solution Steps:

  • United States facing a budget deficit of 1.5 billion
  • Population = 3.9 million

We have to determine how much would each person have to contribute to pay a 1.5 deficit.

Just dividing 1500 millions (1.5 billion) by 3.9 million as:

\frac{1500}{3.9} =384.6153

which is rounded to $385.

Therefore, each person would have to contribute to contribute $385 to pay a 1.5 deficit.

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A candidate for a US Representative seat from Indiana hires a polling firm to gauge her percentage of support among voters in he
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Answer:

a) The minimum sample size is 601.

b) The minimum sample size is 2401.

Step-by-step explanation:

In a sample with a number n of people surveyed with a probability of a success of \pi, and a confidence level of 1-\alpha, we have the following confidence interval of proportions.

\pi \pm z\sqrt{\frac{\pi(1-\pi)}{n}}

In which

z is the zscore that has a pvalue of 1 - \frac{\alpha}{2}.

The margin of error is:

M = z\sqrt{\frac{\pi(1-\pi)}{n}}

For this problem, we have that:

We dont know the true proportion, so we use \pi = 0.5, which is when we are are going to need the largest sample size.

95% confidence level

So \alpha = 0.05, z is the value of Z that has a pvalue of 1 - \frac{0.05}{2} = 0.975, so Z = 1.96.

a. If a 95% confidence interval with a margin of error of no more than 0.04 is desired, give a close estimate of the minimum sample size that will guarantee that the desired margin of error is achieved. (Remember to round up any result, if necessary.)

This is n for which M = 0.04. So

M = z\sqrt{\frac{\pi(1-\pi)}{n}}

0.04 = 1.96\sqrt{\frac{0.5*0.5}{n}}

0.04\sqrt{n} = 1.96*0.5

\sqrt{n} = \frac{1.96*0.5}{0.04}

(\sqrt{n})^2 = (\frac{1.96*0.5}{0.04})^2

n = 600.25

Rounding up

The minimum sample size is 601.

b. If a 95% confidence interval with a margin of error of no more than 0.02 is desired, give a close estimate of the minimum sample size necessary to achieve the desired margin of error.

Now we want n for which M = 0.02. So

M = z\sqrt{\frac{\pi(1-\pi)}{n}}

0.02 = 1.96\sqrt{\frac{0.5*0.5}{n}}

0.02\sqrt{n} = 1.96*0.5

\sqrt{n} = \frac{1.96*0.5}{0.02}

(\sqrt{n})^2 = (\frac{1.96*0.5}{0.02})^2

n = 2401

The minimum sample size is 2401.

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