Questions
This paper aims to test the module ILOs using a practical real-life case-study. In this case...

This paper aims to test the module ILOs using a practical real-life case-study. In this case study, you are going to play the role of an analyst for one of the corporates, let us call it Company-Z. Therefore, let us first introduce the case-study random variables:  is the Company-Z monthly revenue along the period Pre-COVID-19(January 2018 to December 2019);  is the same Company-Z monthly revenue but during the period Post-COVID-19(March 2020 to September 2020);  is the monthly operations cost during the period Pre-COVID-19(January 2018 to December 2019); while  is the same monthly operations cost but during the period Post-COVID-19(March 2020 to September 2020). Accordingly, in your analysis, you will depend on two main random variables over two time series. The first random variable is the Company-Z monthly revenue , and the second random variable is the Company-Z monthly operations cost . The two random variables were chosen over two periods of time: the first is (Pre-COVID-19: January 2018 to December 2019), and the second is (Post-COVID-19: March 2020 to September 2020).  Your task is to prepare a comprehensive report to the company, fulfilling specific requirements outlined below in point (3). using this data

Date Jan/2018 Feb/2018 Mar/2018 Apr/2018 May/2018 Jun/2018 Jul/2018 Aug/2018 Sep/2018 Oct/2018 Nov/2018 Dec/2018 Jan/2019 Feb/2019 Mar/2019 Apr/2019 May/2019 Jun/2019 Jul/2019 Aug/2019 Sep/2019 Oct/2019 Nov/2019 Dec/2019
Pre-COVID-19 Y1 (L.E.) 4513.8 4515.1 4514.6 4515.7 4517.4 4513.8 4516.0 4514.7 4516.1 4516.6 4514.2 4515.2 4514.2 4516.8 4514.7 4516.2 4518.1 4517.1 4515.5 4515.3 4517.0 4516.1 4516.3 4515.5
X1 (L.E.) 9.8 8.7 7.9 8.3 5.6 11.2 8.8 10.4 7.6 7.7 10.9 10.5 12.1 7.2 11.1 7.4 5.6 5.5 9.2 8.9 5.2 8.2 7.7 9.1
Date Mar/2020 Apr/2020 May/2020 Jun/2020 Jul/2020 Aug/2020 Sep/2020
Post-COVID-19 Y2 (L.E.) 2037.5 2036.0 2049.4 2034.7 2033.9 2037.1 2037.4
X2 (L.E.) 7.6 13.4 6.3 10.4 12.8 9.5 6.1

What is the appropriate technique to test the following two hypotheses arguing: that the population mean of the monthly operations cost is 0.9 times the value of the average monthly operations cost during the period Pre-COVID-19 , and the population mean of the monthly operations cost is 1.3 times the value of the average monthly operations cost during the period Post-COVID-19 . Write thefull analytical stepsto find the appropriate decision for both hypotheses, as well as comment on the results?     use the confidence level 99 percent

In: Accounting

At December 31, 2017, Cord Company's plant asset and accumulated depreciation and amortization accounts had balances...

At December 31, 2017, Cord Company's plant asset and accumulated depreciation and amortization accounts had balances as follows

category

Plant asset

Accumulated depreciation and amortization

land

182,000

             ___

buildings

1 850 000

      335 900

Machinery and equipment

1 475 000

      324 500

Automobiles and truck

179 000

      107 325

Leasehold improvements

230 000

       115 000

Land improvements

                 ___

                ___

Depreciation methods and useful lives:

Buildings—150% declining balance; 25 years.

Machinery and equipment—Straight line; 10 years.

Automobiles and trucks—150% declining balance; 5 years, all acquired after 2014.

Leasehold improvements—Straight line.

Land improvements—Straight line.

Depreciation is computed to the nearest month and residual values are immaterial. Transactions during 2018 and other information:

On January 6, 2018, a plant facility consisting of land and building was acquired from King Corp. in exchange for 32,000 shares of Cord's common stock. On this date, Cord's stock had a fair value of $60 a share. Current assessed values of land and building for property tax purposes are $246,000 and $574,000, respectively.

On March 25, 2018, new parking lots, streets, and sidewalks at the acquired plant facility were completed at a total cost of $234,000. These expenditures had an estimated useful life of 12 years.

The leasehold improvements were completed on December 31, 2014, and had an estimated useful life of eight years. The related lease, which would terminate on December 31, 2020, was renewable for an additional four-year term. On April 30, 2018, Cord exercised the renewal option.

On July 1, 2018, machinery and equipment were purchased at a total invoice cost of $332,000. Additional costs of $11,000 for delivery and $57,000 for installation were incurred.

On August 30, 2018, Cord purchased a new automobile for $13,200.

On September 30, 2018, a truck with a cost of $24,700 and a book value of $10,400 on date of sale was sold for $12,200. Depreciation for the nine months ended September 30, 2018, was $2,340.

On December 20, 2018, a machine with a cost of $20,500 and a book value of $3,150 at date of disposition was scrapped without cash recovery.

Required:

1. Prepare a schedule analyzing the changes in each of the plant asset accounts during 2018. Do not analyze changes in accumulated depreciation and amortization.

2. For each asset category, prepare a schedule showing depreciation or amortization expense for the year ended December 31, 2018.

1.

                                                       Cord company

                                    Analysis of changes in plant assets

                                      For the year ending december 31, 2018

balance

balance

12/31/17

increase

decrease

12/31/18

land

182,000

172 800

0

?

Land improvements

0

?

?

?

buildings

1850 000

?

?

?

Machinery and equipment

1475 000

?

?

?

automobiles and trucks

179 000

?

?

?

Leasehold improvements

230 000

?

?

?

3,916, 000

$      

$

$

2. For each asset category, prepare a schedule showing depreciation or amortization expense for the year ended December 31, 2018.

                                              Cord company

                              Depreciation and amortization expense

                                 For the year ending december 31 2018

Land improvements

        ?

buildings

         ?

Machinery and equipment

      ?

Automobiles and trucks

       ?

Leasehold improvements

        ?

Total depreciation and amortization expense for 2018

        ?


In: Accounting

QUESTION 1 BANK RECONCILIATION (20 MARKS) The information given below was extracted from the accounting records...

QUESTION 1 BANK RECONCILIATION The information given below was extracted from the accounting records of Mika Stores. REQUIRED 1.1 Complete the Cash Receipts Journal and Cash Payments Journal of Mika Stores for March 2018 after taking the information provided into account. Use only the columns illustrated below. In the details column write down the name of the contra account e.g. Rent income. (11) Cash Receipts Journal Details Bank Total b/f Cash Payments Journal Details Bank Total b/f MODULE FUNDAMENTALS OF FINANCIAL ACCOUNTING TOTAL MARKS 60 MARKS 1.2 Post to the Bank account in the General ledger of Mika Stores. Balance the account. (3) 1.3 Prepare the Bank Reconciliation Statement as at 31 March 2018. Use the following format: (6) Bank Reconciliation Statement as at 31 March 2018 Debit Credit INFORMATION R 1. The bank column of each of the cash journals showed the following totals before the March 2018 bank statement was received: Cash Receipts Journal Cash Payments Journal 300 000 350 000 2. A comparison of the cash journals of Mika Stores for March 2018 and the Bank Reconciliation Statement for February 2018 with the bank statement from Key Bank for March 2018 revealed the following differences: 2.1 Entries that appeared on the bank statement but not in the cash journals: R 2.1.1 A cheque previously received from the lessee for rent was dishonoured because of insufficient funds. 6 800 2.1.2 A debit order in favour of Telkom for the personal telephone account of the proprietor. 3 800 2.1.3 Charges levied by Key Bank: Service fees Cash deposit fee Interest on overdraft 1 500 1 000 100 2.1.4 A deposit by a debtor to settle his account of R6 200 6 000 2.1.5 A deposit by Key Bank for a successful loan application 50 000 2.2 Entries in the cash journals that did not appear in the bank statement: R 2.2.1 A deposit made on 31 March 2018 102 400 2.2.2 The following cheque issued during March 2018: Cheque no. 520 8 700 3. Additional information R 3.1 Cheque no. 490 (dated 23 February 2018) which appeared in the Bank Reconciliation Statement for February 2018 did not appear in the bank statement for March 2018. 16 140 3.2 Cheque no. 460 issued to Rix Soccer Club during January 2018 as a donation must be cancelled as the club no longer exists. 4 800 3.3 A deposit made by Rika Stores was erroneously reflected on the bank statement of Mika Stores. 4 000 3.4 An entry was made in the Cash Payments Journal for a cheque to a creditor MS Suppliers for R10 000. The bank statement reflected the correct amount of the cheque, R11 000. 3.5 The bank account in the ledger of Mika Stores reflected a debit balance on 01 March 2018. 38 800 3.6 The bank statement showed an unfavourable balance on 31 March 2018. ?

In: Accounting

Exercise 14-29 Reporting bonds at fair value [LO14-6] Federal Semiconductors issued 12% bonds, dated January 1,...

Exercise 14-29 Reporting bonds at fair value [LO14-6]

Federal Semiconductors issued 12% bonds, dated January 1, with a face amount of $840 million on January 1, 2018. The bonds sold for $780,588,787 and mature on December 31, 2037 (20 years). For bonds of similar risk and maturity the market yield was 13%. Interest is paid semiannually on June 30 and December 31. Federal determines interest at the effective rate. Federal elected the option to report these bonds at their fair value. On December 31, 2018, the fair value of the bonds was $760 million as determined by their market value in the over-the-counter market. Assume the fair value of the bonds on December 31, 2019 had risen to $766 million.

Required:

Complete the below table to record the following journal entries.
1. & 2. Prepare the journal entry to adjust the bonds to their fair value for presentation in the December 31, 2018, balance sheet, and adjust the bonds to their fair value for presentation in the December 31, 2019, balance sheet. Federal determined that one-half of the increase in fair value was due to a decline in general interest rates.

  • Calculation
  • General Journal

Complete the below table to record the following journal entries. (Negative amount should be indicated by a minus sign. Round final answers to the nearest whole dollars.)

Semiannual Interest Period-End Cash Interest Paid Bond Interest Expense Increase in Balance Carrying Value Fair Value Unrealized Holding Gain (loss)
01/01/2018 $780,588,787
06/30/2018 $50,400,000 $50,738,271 $338,271 780,927,058
12/31/2018 50,400,000 50,760,259 360,259 781,287,317 $760,000,000 $21,287,317
06/30/2019 50,400,000 0 0
12/31/2019 0 0 0 $766,000,000
Bonds Payable Fair Value Adjustment Net Liability(FMV)
01/01/2018 780,588,787 01/01/2018
06/30/2018 338,271 06/30/2018
12/31/2018 360,259 12/31/2018 $21,287,317
781,287,317 21,287,317 $760,000,000
06/30/2019 06/30/2019
12/31/2019 12/31/2019 (21,287,317)
781,287,317
  • Calculation
  • Journal entry worksheet

  • Record the interest expense.
  • Note: Enter debits before credits.

    Date General Journal Debit Credit
    June 30, 2018
  • Record the interest expense.
  • Note: Enter debits before credits.

    Date General Journal Debit Credit
    December 31, 2018
  • Record the fair value adjustment.

Note: Enter debits before credits.

Date General Journal Debit Credit
December 31, 2018
  • Record the interest expense.

Note: Enter debits before credits.

Date General Journal Debit Credit
June 30, 2019
  • Record the interest expense.

Note: Enter debits before credits.

Date General Journal Debit Credit
December 31, 2019
  • Federal determined that one-half of the increase in fair value was due to a decline in general interest rates.

Note: Enter debits before credits.

Date General Journal Debit Credit
December 31, 2019

In: Accounting

Pay your bills. In a large sample of 250 customer accounts, a In a large sample...

Pay your bills. In a large sample of 250 customer accounts, a

In a large sample of 250 customer accounts, a utility company determined that the average number of days between when the bill was sent out and when the payment was made is 32 with a standard deviation of 7 days. Assume the data to be approximately bell- shaped.

  1. Use the empirical rule to construct a diagram of the distribution of the data.
  2. Between what two numbers will approximately 68% of the numbers of days be?
  3. Estimate the number of customers’ accounts for which the number of days is between 11 and 53.
  4. Estimate the number of customers’ accounts that were greater than 39.
  5. Estimate the number of customers’ accounts that were between 25 and 53.

In: Statistics and Probability

1) The IQ of the author’s college students is normally distributed with a mean of 100...

1) The IQ of the author’s college students is normally distributed with a mean of 100 and a standard deviation of 15. What percentage of college students have IQs between 70 to 130? (Use the empirical rule to solve the problem) Please explain how you get the answer. You can use excel to show how to use the formula if needed.

2) At a high school, GPA’s are normally distributed with a mean of 2.6 and a standard deviation of 0.5. What percentage of students at the college have a GPA between 2.1 and 3.1? Please explain how you get the answer. You can use excel to show how to use the formula if needed.

In: Statistics and Probability

Given information: MgSO4: mass of crucible (26.41g) mass of crucible and hydrate (36.37 g) mass of...

Given information:

MgSO4: mass of crucible (26.41g) mass of crucible and hydrate (36.37 g) mass of crucible and anhydrate after heating (31.45 g)

CuSO4: mass of crucible (18.21g) mass of crucible and hydrate (30.16 g) mass of crucible and anhydrate after heating (27.89 g)

Show the calculations:

(1) Mass of hydrate used (2) Mass of anhydrate after heating (3) Mass of water driven off from hydrate (4) Percent water in the hydrate

(5) Number of moles of water driven off from the hydrate (6) Number of moles of adhydrate in the product (7) Mole ration of anhydrate to water

(8) Empirical formula of the hydrate

In: Other

Read the article “The poor and the rich” from The Economist and answer the following questions....

Read the article “The poor and the rich” from The Economist and answer the following questions.

  1. Why is it that in the Solow neoclassical growth model “as the stock of capital expands, growth slows, and eventually halts”? Explain.

  2. What does the empirical evidence tell us about the effect of Government policies on economic growth? Give some examples of how, according to the article, different Government choices have different implications for economic growth.

  3. What are possible explanations for the extraordinary economic growth experienced by some East Asian Countries?

  4. What conclusions can you draw from the article about what developing country should do to experience faster economic growth?

In: Economics

Vaporization of a liquid sample generates 1.23 L of a gas at a pressure of 0.975...

  1. Vaporization of a liquid sample generates 1.23 L of a gas at a pressure of 0.975 atm and a temperature of 112 °C. The mass of the sample is 1.59 g. (R=0.08206 L·atm/mol·K)
    1. Find the molar mass of the gas (4 pts)
  1. What is the molecular formula of the gas if the empirical formula is CH2?

(C=12.01 g/mol, H=1.01 g/mol) (3 pts)

  1. Find the number of moles of the gas produced (3 pts)
  1. This gas is mixed with 0.063 moles of another gas (named as A) in a different container. The volume of the container is 1.85 L and the temperature is increased to 130. °C. Find the partial pressures of both gases and the total pressure of the mixture. (6 pts)

In: Chemistry

Which of the following are true and explain your answer using the Normal Curve? Hint: Properties...

Which of the following are true and explain your answer using the Normal Curve?

Hint: Properties of the Normal Curve and Empirical Rule. Note: The Normal curve has two tales. For example, ±1 standard deviation around the mean means that there is 34.13% of the curve on each side of the normalized 0. Or the area (probability) under the curve = 68.26%



A)19 of every 20 observations would fall between ±2 standard deviations around the mean.

B) 2 of every 3 observations would fall between ±1 standard deviation around the mean.

C) 4 of every 5 observations would fall between ±1.28 standard deviations around the mean.

In: Statistics and Probability