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Free Cash Flows Rhodes Corporation: Income Statements for Year Ending December 31 (Millions of Dollars)
Rhodes Corporation: Balance Sheets as of December 31 (Millions of Dollars)
Using Rhodes Corporation's financial statements (shown above), answer the following questions.
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In: Finance
Rhodes Corporation: Income Statements for Year Ending December 31 (Millions of Dollars)
| 2016 | 2015 | ||
| Sales | $7,700.0 | $7,000.0 | |
| Operating costs excluding depreciation | 6,160.0 | 5,950.0 | |
| Depreciation and amortization | 177.0 | 154.0 | |
| Earnings before interest and taxes | $1,363.0 | $896.0 | |
| Less Interest | 166.0 | 151.0 | |
| Pre-tax income | $1,197.0 | $745.0 | |
| Taxes (40%) | 478.8 | 298.0 | |
| Net income available to common stockholders | $718.2 | $447.0 | |
| Common dividends | $646.0 | $358.0 |
Rhodes Corporation: Balance Sheets as of December 31 (Millions of Dollars)
| 2016 | 2015 | ||
| Assets | |||
| Cash | $89.0 | $77.0 | |
| Short-term investments | 39.0 | 35.0 | |
| Accounts receivable | 966.0 | 840.0 | |
| Inventories | 1,663.0 | 1,330.0 | |
| Total current assets | $2,757.0 | $2,282.0 | |
| Net plant and equipment | 1,771.0 | 1,540.0 | |
| Total assets | $4,528.0 | $3,822.0 | |
| Liabilities and Equity | |||
| Accounts payable | $564.0 | $490.0 | |
| Accruals | 756.0 | 630.0 | |
| Notes payable | 154.0 | 140.0 | |
| Total current liabilities | $1,474.0 | $1,260.0 | |
| Long-term debt | 1,540.0 | 1,400.0 | |
| Total liabilities | $3,014.0 | $2,660.0 | |
| Common stock | 1,307.8 | 1,028.0 | |
| Retained earnings | 206.2 | 134.0 | |
| Total common equity | $1,514.0 | $1,162.0 | |
| Total liabilities and equity | $4,528.0 | $3,822.0 | |
Using Rhodes Corporation's financial statements (shown above), answer the following questions.
| After-tax interest payment | $ million |
| Reduction (increase) in debt | $ million |
| Payment of dividends | $ million |
| Repurchase (Issue) stock | $ million |
| Purchase (Sale) of short-term investments | $ million |
In: Finance
Part B
In another experiment, the intensity of the incident light and the
temperature of the metal are held constant. Assuming that the
initial light incident on the metal surface causes electrons to be
ejected from the metal, what happens if the frequency of the
incident light is increased?
Check all that apply.
The work function of the metal increases.
The number of electrons emitted from the metal per
second increases.
The maximum speed of the emitted electrons
increases.
The stopping potential increases.
In: Physics
Suppose that in a given round in an online market experiment, there are a 10 students assigned roles of sellers and 10 assigned roles as buyers. Altogether, they are assigned numbers 1,2,3....22. Each even numbered student is a buyer, and each odd numbered student is a seller. The costs of sellers are twice their student number. The value of buyers is his student number.
a) What is the market clearing quantity?
b) What is the highest possible market clearing price?
c) What is the lowest possible market clearing price?
In: Economics
|
Lighting |
Watchman |
Mean Number of Burglaries |
|
poor |
no |
2.80 |
|
good |
no |
1.00 |
|
poor |
yes |
2.40 |
|
good |
yes |
0.75 |
effects
In: Advanced Math
These are the results of a health experiment that investigated effectiveness of aspirin of reducing heart attacks. This was a placebo eonctrolled study where 22, 071 male doctors in the United States were given either 325 mg or aspirin or placebo pill every other day for 5 years. The following are the data collected over 5 years.
-List 1. the most appropriate statistical test. 2. null and alternative hypotheses. 3. calculate appropriate test statistic. 4. determine critical value. 5. statistical conclusion.
| Group study | Heart attack | no heart attack | total |
| Aspirin | 104 | 10933 | 11037 |
| Placebo | 189 | 10845 | 11034 |
| total | 293 | 21778 | 22071 |
In: Statistics and Probability
5. It is known that the temperature of a laboratory experiment (X) and the experiment’s percentage yield (Y ) approximately satisfy the linear regression assumptions. The following sample was collected: Temp 110 110 120 130 140 150 160 170 180 190 200 %Yield 45 52 53 59 63 69 74 78 86 89 97 (a) Plot the data and the sample least squares regression line. (b) Interpret the slope of your sample least squares regression line. (c) Given a temperature of 165 what is the expected %yield? (d) Compute a 95% C.I. for βˆ. (e) Interpret the C.I. constructed in (d).
In: Statistics and Probability
5. It is known that the temperature of a laboratory experiment (X) and the experiment’s percentage yield (Y ) approximately satisfy the linear regression assumptions. The following sample was collected: Temp 110 110 120 130 140 150 160 170 180 190 200 %Yield 45 52 53 59 63 69 74 78 86 89 97 (a) Plot the data and the sample least squares regression line. (b) Interpret the slope of your sample least squares regression line. (c) Given a temperature of 165 what is the expected %yield? (d) Compute a 95% C.I. for βˆ. (e) Interpret the C.I. constructed in (d).
In: Statistics and Probability
Three groups are tested in an experiment and the results for the measurements are: Group 1: 5, 7, 5, 3, 5, 3, 3, 9 Group 2: 8, 1, 4, 6, 6, 4, 1, 2 Group 3: 7, 3, 4, 5, 2, 2, 3, 3 Test for the equality of the means at 5% significance.
In: Statistics and Probability
the W's scientist at a pharmacy firm conducted an experiment of study the effectiveness of an herbal compound to treat common cold. individual was exposed to a cold virus, they was given herb or sugar solution. after several days they check each person condition, using a cold severity scale ranging from 0 to 5. no evidence of benfit of the compound
In: Statistics and Probability