Answer:
Explanation:
Forecast usage = 50 %
Actual Usage = 52%
smoothing constant = 0.10
⇒ 50 + 0.10 (52 - 50)
⇒ 50 + 0.10 (2)
⇒ 50 + 0.2 = 50.20
Answer:
discount yield=7.17%
bond equivalent yield=7.34%
effective annual yield =7.64%
Explanation:
Discount yield =discount /face value*360/t
where t is the number of days to maturity
discount =face value -issue price
discount=100-97.63
discount=2.37
discount yield =2.37/100*360/119
discount yield=7.17%
bond equivalent yield=(1+periodic yield)^360/t-1
periodic yield =discount/face value=2.37/100=2.37%
bond equivalent yield =(1+2.37%)^(360/119)-1
bond equivalent yield=7.34%
effective annual yield=(1+HPY)^365/t-1
Holding period yield (HPY)=discount/price=2.37/97.63
HPY=2.43%
effective annual yield=(1+2.43%)^(365/119)-1
effective annual yield =7.64%
Based on the given sample above, I can say that it would be an example of a descriptive statistics. When we say descriptive statistics, this is the kind of statistics that uses numerical data based from the given sample in order to describe the population. This is different from inferential because inferential statistics creates inferences based on the given data. Hope this helps.
Answer:
The statement is: False.
Explanation:
Managers must <em>make decisions based on facts and support data</em> -such as the accounting books of the company- since those sources provide <em>objective information</em> on what is happening in regards to the organization. Even if they might be allowed to follow their instinct in taking risky investment decisions, a <em>study </em>must be made before taking a step forward to analyze what the best output could be.
Thus, guessings and personal points of view are not enough for managers to conduct business.
