The labor force that can be depicted from the information about the people will be 36.
<h3>How to calculate the labor force</h3>
The labor force will be:
= 25 + 8 + 3
= 36
The unemployment rate will be:
= Unemployed/Labor force × 100
= 3/36 × 100
= 8.33%
The participation rate will be:
= Labor force/Adult population × 100
= 36/(80 - 16) × 100
= 56.25%
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Answer:
The average collection period is 56.25 days
Explanation:
The average collection period is the number of days' sales in receivables and calculated by using following formula:
The number of days' sales in receivables = 360/Accounts receivable turnover ratio
Accounts Receivable Turnover = Net Credit Sales/Accounts Receivable
Net Credit sales = Total Sales - the sales are for cash = $1,800,000 - 20% x $1,800,000 = $1,440,000
Accounts Receivable Turnover = $1,440,000/$225,000 = 6.4 times
The number of days' sales in receivables = 360/6.4 = 56.25 days
Answer:
The correct answer is: $12,000
Explanation:
uncollectible debt = 6% of net sales
= 6/100 × 200,000
= 0.06 × 200,000 = $12,000
Therefore, $12,000 will be removed (debited) from the bad debt expense because it is uncollectible, and it is added (credited) to the Allowance for Doubtful accounts as bad debt to be paid for in the bad debt reserve account.
Answer:
Option A (Both the adjuster and the student we potential customers because in their own way, they both benefit from the product).
Explanation:
Both the adjuster and the student were potential customers as they were both buying the smartphone for either personal or official use. The adjuster sees the smartphone as a product or tool that could be used to make work efficient. The student sees the product as a luxury. Either way, they are buying the smartphone and as such, they are very important to the producers of the smartphone because the product is useful to both of them.
The answer is: c) dates peaks and troughs only after the fact.
This mean that millions of dollar spents by the Bureau cannot necessarily used to address the economic problems that people currently face.
One argument to counter such criticism is that the data from the Bureau could be used to make future predicitons and prevent any mistakes in the past from occuring again in the future.
