c.
Arrogantly
Explanation:
What Candice is saying here basically boils down to 'we don't need to compare this to last year's performance as I want to see positive results not negatives'<u> insinuating that the performance has become worse in the last year.</u>
<u>Regressions in a financial report mean weaker performance over the fiscal year while projections mean that the performance was better.</u>
In a perpetual average cost system a new weighted-average unit cost is calculated each time additional units are purchased.
Option B is correct
Explanation:
"Average" represents the mean expense of production items from the sale time below the perpetual method. This marginal cost is compounded by the numbers of distribution units, deducted from the stock in the possession and debited to the Expense of Items Sold balance.
Divide the prices of goods available on the market by the amount of available on the market to be using the median weighted practice, which results in the total average cost of units. The cost of the product available on the market is the amount of the original production and net sales in this estimate.
Answer:
The least that this option should sell for is $3,125.
Explanation:
Acording to the data, we have the following:
The current spot exchange is $1.55=€1.00
The call option has a strike price of $1.50=€1.00 and spot price is €62,500
Hence,to calculate the least value this option should sell for we have to calculate the following:
$1.55-$1.50=$0.05
Hence, $0.05*62,500= $3,125.
Answer:
Kohl's Average total Assets were $1,000,000
Explanation:
1.
Asset Turnover = Net Sales / Average fixed Assets
Net Sales = Asset Turnover x Average fixed Assets
2.
Account Receivable Turnover = Net Sales / Average Account receivable
Net Sales = Account Receivable Turnover x Average Account receivable
According to given condition
Asset Turnover x Average fixed Assets = Account Receivable Turnover x Average Account receivable
2 X Average fixed Assets = 10 X $200,000
Average fixed Assets = $2000,000 / 2
Average fixed Assets = $1,000,000
Answer:
The percentage distribution is a statistical distribution of relative frequency, in which the relative frenquencies are percentages over the total number of data, that in this case is equal to 100%.
In order to create a percentage distribution chart, we group the data into classes, and then, we count the number of times the elements of the class appear in the sample, finally, we convert this number into a percentage.