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Answer:
$0.316 trillion per annum
Explanation
According to the scenario, computation of the given data are as follow:-
Interest rate = 0.5% = 0.005
Government Borrows = $6 trillion
Time = 20 years
Required Uniform Annual Payment= Government Borrows × Interest Rate × [(1 + Interest Rate)^Time period ÷ (1 + Interest Rate)Time period] - 1
= $6 trillion × 0.005 × [(1 + 0.005)^20 ÷ (1 + 0.005)^20 - 1]
= $0.03 trillion × [(1.005)^20 ÷ (1.005)^20 - 1]
= $0.03 trillion × (1.1049 ÷ 1.1049 - 1)
= $0.03 trillion × (1.1049 ÷ 0.1049)
= $0.03 trillion × 10.533
= $0.316 trillion per annum
Answer:
207,000
Explanation:
Data provided
Sold units = 218,000
Ending inventory = 13,000
Opening units = 24,000
The computation of units during September is shown below:-
Number of units manufactured during the year = Sold units + Ending inventory - Opening units
= 218,000 + 13,000 - 24,000
= 231,000 - 24,000
= 207,000
Therefore for computing the number of units manufactured during the year we simply applied the above formula.
Answer:
Amount allocated to cost of goods sold = $2,520
Explanation:
Total inventory held during the complete month.
Beginning = 33 units @ $21 = $693
7 July = 116 units @ $22 = $2,552
22 July = 17 units @ $24 = $408
Closing inventory = 53 units.
Under LIFO method, there is sale of inventory which was last bought or purchased.
Here, as per LIFO,
Total units = 33 + 116 + 17 = 166 units.
Units in closing inventory = 53 units.
That means, 33 units from opening and 20 units from purchases made as on 7 July
33 units @ $21 = $693
20 units @ $22 = $440
Total carrying value of closing inventory = $1,133
Therefore, amount allocated to cost of goods sold = 17 units @ $24 and 96 units @ $22
= $2,520
Seasonal data is a discriminant variable that displays recurring patterns throughout time at set intervals. What is false discriminant analysis?
The researcher employs a method known as discriminant analysis to evaluate the study data when the criteria, or the dependent variable, is categorical and the predictor, or the independent variable, is of an interval type.
How do variables fit into discriminant analysis?
The researcher employs a method known as discriminant analysis to evaluate the study data when the criteria, or the dependent variable, is categorical and the predictor, or the independent variable, is of an interval type.
What several types of discriminant analysis exist?
The first kind of discriminant analysis is linear discriminant analysis.
Number 2 in the Multiple Discriminant Analysis.
Analysis using quadratic discriminants is the third technique.
Canonic Discriminant Analysis, fourth instance.
For more information on discriminant analysis, go to brainly.com/question/2507588
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