Question

In: Finance

3. The following information is provided by a dealer in computer chips. The dealer follows FIFO...

3. The following information is provided by a dealer in computer chips. The dealer follows FIFO method for valuing stock, calculate from the following figures –

Date

particulars

April 1, 2019

Opening stock 750 chips @Rs1550 per chip

Purchases

April 10, 2019

1000 chips @Rs1750 per chip

April 20, 2019

1650 chips @ Rs1875 per chip

Sales

April 15, 2019

900 chips @Rs3000 per chip

April 16, 2019

1950 chips @ Rs 3250 per chip

a) Cost of goods available for sale 300 Words

b) Gross profit 300 Words

Solutions

Expert Solution

a) Cost of Goods Available for Sale :

                              = Opening Stock + Purchases - Closing Stock]

Opening Stock = 750*$1550 = $11,62,500

Purchases = 1000$1750 + 1650*$1875 = $48,43,750

Closing Stock = Total Stock available - Sale of stock

The dealer follows FIFO method so,

Sale of 2850 chips (900+1950) is from as follows

Aprl 15 : 750 + 150 = 900

Aprl 16 : It is possible only to sell 850 units. The question is wrong

Closing Stock : April 20 - : 550*1875 = $10,31,250

                       April

b) Gross Profit : = Sales - Cost of Goods Sold

Sales = 1950*$3250 = $63,37,500

Cost of Goods Sold = can't find in this question due to on April 16 we are having only 850 units , it is impossible to sell 1950 chips.


Related Solutions

60 % of the chips used by a computer manufacturing company (CMC) are provided by supplier...
60 % of the chips used by a computer manufacturing company (CMC) are provided by supplier A and the rest by supplier B. The two suppliers have the following faulty chip rates: 0.3% for supplier A and 0.8% for supplier B. Consider a random batch of 20 chips (chips cannot be distinguished by supplier). a. Show that the expected number of faulty chips is 0.1. [15 marks] b. What is the probability of having two or more faulty chips? Justify...
60 % of the chips used by a computer manufacturing company (CMC) are provided by supplier...
60 % of the chips used by a computer manufacturing company (CMC) are provided by supplier A and the rest by supplier B. The two suppliers have the following faulty chip rates: 0.3% for supplier A and 0.8% for supplier B. Consider a random batch of 20 chips (chips cannot be distinguished by supplier). a. Show that the expected number of faulty chips is 0.1. [15 marks] b. What is the probability of having two or more faulty chips? Justify...
Scenario 3 A company manufacturing computer chips finds that 8% of all chips manufactured are defective....
Scenario 3 A company manufacturing computer chips finds that 8% of all chips manufactured are defective. Management is concerned that employee inattention is partially responsible for the high defect rate. In an effort to decrease the percentage of defective chips, management decides to offer incentives to employees who have lower defect rates on their shifts. The incentive program is instituted for one month. If successful, the company will continue with the incentive program. Questions 11 to 16 pertain to Scenario...
A sample of 800 computer chips revealed that 75% of the chips do not fail in...
A sample of 800 computer chips revealed that 75% of the chips do not fail in the first 1000 hours of their use. The company's promotional literature claimed that more than 72% do not fail in the first 1000 hours of their use. Is there sufficient evidence at the 0.01 level to support the company's claim? Step 1 of 1: State the null and alternative hypotheses for the above scenario.
A sample of 1300 computer chips revealed that 42% of the chips do not fail in...
A sample of 1300 computer chips revealed that 42% of the chips do not fail in the first 10001000 hours of their use. The company's promotional literature claimed that above 39% do not fail in the first 1000hours of their use. Is there sufficient evidence at the 0.05 level to support the company's claim? State the null and alternative hypotheses for the above scenario. Step 1 of 3: Find the point estimate for the true difference between the population means....
A sample of 900 computer chips revealed that 59% of the chips fail in the first...
A sample of 900 computer chips revealed that 59% of the chips fail in the first 1000 hours of their use. The company's promotional literature states that 62% of the chips fail in the first 1000 hours of their use. The quality control manager wants to test the claim that the actual percentage that fail is less than the stated percentage. Is there enough evidence at the 0.10 level to support the manager's claim? Step 2 of 7: Find the...
A sample of 900 computer chips revealed that 59% of the chips fail in the first...
A sample of 900 computer chips revealed that 59% of the chips fail in the first 1000 hours of their use. The company's promotional literature states that 62% of the chips fail in the first 1000 hours of their use. The quality control manager wants to test the claim that the actual percentage that fail is less than the stated percentage. Is there enough evidence at the 0.10 level to support the manager's claim? Step 2 of 7: Find the...
A sample of 800 computer chips revealed that 59% of the chips fail in the first...
A sample of 800 computer chips revealed that 59% of the chips fail in the first 1000 hours of their use. The company's promotional literature claimed that 63% fail in the first 1000 hours of their use. Is there sufficient evidence at the 0.01 level to dispute the company's claim? State the null and alternative hypotheses for the above scenario.
A sample of 1400 computer chips revealed that 69% of the chips do not fail in...
A sample of 1400 computer chips revealed that 69% of the chips do not fail in the first 1000 hours of their use. The company's promotional literature states that 72% of the chips do not fail in the first 1000 hours of their use. The quality control manager wants to test the claim that the actual percentage that do not fail is different from the stated percentage. Determine the decision rule for rejecting the null hypothesis, H0, at the 0.10...
A sample of 1100 computer chips revealed that 48% of the chips fail in the first...
A sample of 1100 computer chips revealed that 48% of the chips fail in the first 1000 hours of their use. The company's promotional literature states that 51% of the chips fail in the first 1000 hours of their use. Is there a sufficient evidence at the 0.05 level to support the companies claim? state the null and alternative hypothesis for the above scenarios? H0= Ha=
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT