I believe that it does help determine that because if you want to be a teacher then 9 times out of 10 you go to a college to be a teacher and get your degree.
Answer:
Sharpen Ratio = <u> Rp - Rf</u>
standard deviation of portfolio
= <u>13.8% - 3.6%</u>
173.11%
= 0.05892
= 0.059
workings
Return of portfolio = Ra*wa + Rb*Wb
= 15%*0.6 + 12%*0.4
= 9% + 4.8% = 13.8%
Standard deviation of portfolio = square root of variance
= √ stdA²wa² + stadB²wb² + 2wawbcorrAB
= √(24%*0.6)² +(14%*0.4)² + 2*0.6*0.4*1.27
= √207.36% + 31.36% + 0.6096
= √2.9968
= 1.73
= 173.11%
Explanation:
Answer:
$93,840
Explanation:
Calculation to determine how much is the total budgeted variable selling and administrative expenses for October
October Total budgeted variable selling and administrative expenses=
(0.6 + 1.2 + 0.3 + 0.35) x 7200 +6000 + 39,000 + 7,200 + 24,000
October Total budgeted variable selling and administrative expenses=2.45x 7200 +6000 + 39,000 + 7,200 + 24,000
October Total budgeted variable selling and administrative expenses=$17,640+6000 + 39,000 + 7,200 + 24,000
October Total budgeted variable selling and administrative expenses=$93,840
Therefore the total budgeted variable selling and administrative expenses for October is $93,840
Answer:
Alice monitors the data from this social platform to see which pages (content, material) gets the most views. When she identifies it, she knows that is the content they need to push further, as it gains the most traction in their professional audience. Since every resolved question on the platforms resembles a saving by cutting the cost from their call center customer care, it is essential to follow the metrics which would identify if the helping content is relevant.
Yes, the rewards program is a plus as it creates an incentive for content creators to produce relevant helping content. However, it should be significantly smaller than the mentioned call center savings. Otherwise, the two amounts would break-even, and it wouldn't be more cost-effective for the company.
The answer is A because one of the people checks the bicycles before shipping them off looks at there efficiency to see if they are good enough
