Answer:
2 times
Explanation:
The computation of accounts receivable turnover is shown below:-
Account receivable turnover ratio = Net credit sales ÷ Average accounts receivable
where,
Net credit sales is $1,000,000
And, the Average accounts receivable is
= (Accounts receivable, beginning of year + Accounts receivable, end of year) ÷ 2
= ( $700,000 + $300,000) ÷ 2
= $500,000
Accounts receivable turnover = Net sales ÷ Average accounts receivable
= $1,000,000 ÷ $500,000
= 2 times
Its actually <em><u>A) Office Managers and Human Resource workers</u></em>
High taxes in theory would slow the economy because they redirect money from the private sector to the government and reduce consumption.
<h3>How do high taxes slow the economy?</h3>
The economy grows when the private sector produces more and grows. High taxes will take money from this sector which would leave less cash for growth investment.
High taxes also reduce the amount that people have for consumption which would reduce Aggregate demand.
Find out more on Aggregate Demand at brainly.com/question/1490249.
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The systematic response coefficient from inflation, would result in a change in any security return of <u>3.2 βI</u>.
<u>Explanation</u>:
<em><u>Given</u></em>:
Expected rate of inflation = 3%
Actual rate of inflation = 6.2%
The change in security return can be calculated by obtaining the differences between actual and expected levels of inflation.
Change in security return= Actual rate of inflation- Expected rate of inflation
= 6.2%-3%
= 3.2%
<u>Change in security return= 3.2 βI
</u>
<u></u>
Answer:
And we can find this probability using the normal standard distribution table or excel and we got:
Explanation:
Previous concepts
Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".
The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".
Solution to the problem
Let X the random variable that represent the expected return, and for this case we know the distribution for X is given by:
Where 
and 
We are interested on this probability
And the best way to solve this problem is using the normal standard distribution and the z score given by:
If we apply this formula to our probability we got this:
And we can find this probability using the normal standard distribution table or excel and we got:
