Procter & Gamble is a multinational corporation that manufactures and markets many household products is our goal is to use every opportunity we have no matter how small to set change in motion. To be a force for good and a force for growth. Compute Procter & Gamble's receivable turnover ratio and its inventory turnover ratio.
Ans.1a Account receivables turnover ratio = Net credit sales / Average trade receivables
74756 / 6447
11.60 times
*Net credit sales = Total sales * 90%
83062 * 90%
74756
*Average receivables = (Beginning receivables + Ending receivables / 2
(6508 + 6386) / 2
6447
Ans.1b Inventory turnover ratio = Cost of goods sold / Average inventory
42362 / 6834
6.20 times
Cost of goods sold = Total sales - Gross profit
83062 - (83062 * 49%)
42362
*Average inventory = (Beginning inventory + Ending inventory) / 2
(6909 + 6759) / 2
6834
Ans.2a Days' sales in accounts receivables = No. of days in year / Receivables turnover ratio
365 / 11.60
31.47 days
Ans.2b Days' sales in inventory = No. of days in year / Inventory turnover ratio
365 / 6.20
58.87 days
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Answer:
False. See expplanation below.
Explanation:
Training error by definition is the "error that you get when you run the trained model back on the training data."
False
Sometimes if we have more predictors than the neccesary we create bias and other problems like multicolinearity between the independnet variables. The idea is have a parsimonious model with the ideal number of variables and not with too much or too low variables.
For example we can have a linear model with just one predictor adjusted to the response variable perfect. And we can have another model with the same response variable but with 10 predictors with the same correlation and significance.
Always is important to understand the context of a problem in order to select the predictors to estimate the response variable in order to don't overestimate the number of parameters neccesary to use.
Answer:
a. 12%
b. 2% and 10%
Explanation:
a. The computation of the realized return is shown below:
= {(Ending share price - initial price) + Dividend} ÷ (Initial price) × 100
= {$1 + ($55 - $50)} ÷ $50
= 12%
b. The computation of the dividend yield and the capital gain is shown below:
Dividend yield
= (Dividend) ÷ (initial price) × 100
= $1 ÷ $50 × 100
= 2%
For capital gain yield:
= (Ending share price - initial price) ÷ (Initial price) × 100
= ($55 - $50) ÷ ($50) × 100
= $5 ÷ $50 × 100
= 10%
Answer:
Explanation:
The given expression is
We need to resolve this into partial fraction.
The form of the partial fraction decomposition is
...(1)
On comparing both sides, we get
...(2)
...(3)
Subtract (2) from (3), we get
Put A=3 in (1).
Put A=3 and B=4 in (1).
Therefore,
.
Answer:
The correct answer is: No, this situation is impossible.
Explanation:
To begin with, in the reality the situation with the demand curve is all the opposite. The <em>law of demand</em> establishes that there is an indirect relationship between the price of a product and its quantity demanded in the market, therefore that when the price of a good increases then its quantity demanded decreases. And it is by logic as well, because no one will buy more of something if the products is more expensive than it was before. Therefore that the situation in the text is impossible and it could only be opposite.
