Answer:
$470,425
Explanation:
The computation of the amount reported as bond payable is shown below:
<u>Particulars Interest at 4.5% Interest at 5% Amortized UnAmortized CV</u>
<u> discount discount </u>
Starting value $30,500 $469,500
($500,000 - $469,500)
June 30 $22,500 $23,475 $975 $29,525 $470,425
($500,000 × 4.5%) ($469500 × 5%)
The six months rate would be the half of the rates given in the question
Answer: Will report a liability of $5000 for judgement debt and a claim of $11,000
Explanation:
The liability refers to the obligations of the firm which are certain is going to make payment as compensation.
The $5000 liability, although payment has not been made it's already Incurred by the company under the acural concept.
The claim of $11,000 is only probable and not certain even though amount and time of execution can be estimated, since it's not certain it will only be recorded as a claim in the goverments fund balance sheet.
Answer:
(a) 3 pounds of shrimp
(b) 5 pounds of shrimp
Explanation:
Opportunity costs refers to the costs or benefits that are foregone to select some other alternative.
Vietnam can produce 180,000 pounds of shrimp or 60,000 pounds of rice in a year:
Opportunity cost of producing one pound of rice = 180,000 ÷ 60,000
= 3 pounds of shrimp
Ecuador can produce 130,000 pounds of shrimp or 26,000 pounds of rice in a year:
Opportunity cost of producing one pound of rice = 130,000 ÷ 26,000
= 5 pounds of shrimp
Therefore,
According to the principle of comparative advantage, the Vietnam has a comparative advantage in producing rice because it has a opportunity cost of producing rice than Ecuador.
Answer:
The calculation will be more accurate, because the base year is the oldest.
CPI is calculated as
(P_n / P_base - 1)*100
as:
P_n prices at time n
The mathematical reason why it is better to take the oldest year is that % growth works better
Answer:
The common problem i encounter mostly is the statistical modelling problem.
In this scenario we choose best combination of independent variables for the hypothesis testing. the independent variable shows the significant effect on dependent variable so we keep it in modelling.
My null hypothesis would be that there is no significant effect of independent variable on dependent variable. for my alternative hypothesis there exist is significant effect of independent variable on dependent variable.
Explanation:
The common problem I face daily is the statistical modelling problem which is the selection of relevant independent variable for prediction modelling.
In this example to select the best combination of independent variables we use hypothesis testing. if the independent variable has significant effect on dependent variable then the independent variable shows the significant effect on dependent variable so we keep it in modelling. In this way the model gets improved.
Since there are always two variables or two categories. hence it has a two sample test.
The Hypothesis can be shown below:
Null hypothesis:
H0: There is no significant effect of independent variable on dependent variable.
Alternative hypothesis:
Ha: There is significant effect of independent variable on dependent variable.
