The following selected transactions relate to investment
activities of Ornamental Insulation Corporation during 2021. The
company buys debt securities, not intending to profit from
short-term differences in price and not necessarily to hold debt
securities to maturity, but to have them available for sale in
years when circumstances warrant. Ornamental’s fiscal year ends on
December 31. No investments were held by Ornamental on December 31,
2020.
| Mar. | 31 | Acquired 5% Distribution Transformers Corporation bonds costing $600,000 at face value. | ||
| Sep. | 1 | Acquired $1,200,000 of American Instruments’ 7% bonds at face value. | ||
| Sep. | 30 | Received semiannual interest payment on the Distribution Transformers bonds. | ||
| Oct. | 2 | Sold the Distribution Transformers bonds for $645,000. | ||
| Nov. | 1 | Purchased $1,600,000 of M&D Corporation 3% bonds at face value. | ||
| Dec. | 31 | Recorded any necessary adjusting entry(s) relating to the investments. The market prices of the investments are: |
| American Instruments bonds | $ | 1,130,000 | |
| M&D Corporation bonds | $ | 1,680,000 | |
(Hint: Interest must be accrued.)
Required:
1. Prepare the appropriate journal entry for each
transaction or event during 2021, as well as any adjusting entries
necessary at year end. For any sales, prepare entries to update the
fair-value adjustment, record any reclassification adjustment, and
record the sale.
2. Indicate any amounts that Ornamental Insulation
would report in its 2021 income statement, 2021 statement of
comprehensive income, and 12/31/2021 balance sheet as a result of
these investments. Include totals for net income, comprehensive
income, and retained earnings as a result of these investments.
Journal entry worksheet
Note: Enter debits before credits.
Note: Enter debits before credits.
Note: Enter debits before credits.
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Note: Enter debits before credits.
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Note: Enter debits before credits.
Note: Enter debits before credits.
Note: Enter debits before credits.
Note: Enter debits before credits.
Note: Enter debits before credits.
Note: Enter debits before credits.
In: Accounting
46. Producer surplus is the difference between the
A. price and the willingness to pay for the good.
B. willingness to pay for the good and the marginal cost of producing the good summed over the quantity sold.
C. marginal benefit of consuming the good and the marginal cost of producing the good summed over the quantity sold.
D. price and the marginal cost of producing the good summed over the quantity sold.
48. A deadweight loss is created
A. only if the last unit produced has a marginal social benefit greater than its marginal social cost.
B. if for the last unit produced, marginal social cost is greater than its marginal social benefit or if its marginal social benefit is greater than its marginal social cost.
C. only if the last unit produced has a marginal social cost greater than its marginal social benefit.
D. only if the last unit produced has a marginal social benefit equal to its marginal social cost.
52. Consider the market for wheat in America. The demand function is given by qd= 20 – p, and the supply function by qs= p – 10. The equilibrium price for wheat is ___________________.
A. Cannot be determined
B. $15
C. $30
D. $2
53. Consider the market for wheat in America. The demand function is given by qd= 20 – p, and the supply function by qs= p – 10. The equilibrium quantity fir wheat is _____________.
A.15 units
B. 2 units
C. 30 units
D. 5 units
54. Consider the market for wheat in America. The demand function is given by qd= 20 – p, and the supply function by qs= p – 10. What is the value of the consumers’ surplus at the equilibrium price?
A. $12.5
B. $25
C. Cannot be determined
D. $0
55. Consider the market for wheat in America. The demand function is given by qd= 20 – p, and the supply function by qs= p – 10. What is the value of the producers’ surplus at the equilibrium price?
A. $25
B. $12.5
C. Cannot be determined
D. $0
56. Consider the market for wheat in America. The demand function is given by qd= 20 – p, and the supply function by qs= p – 10. Suppose the government imposes a price floor of floor of $18 on this market. What is the value of the consumer's surplus given the price floor of $18?
A. $0
B. $2
C. $6
D. $4
In: Economics
In: Statistics and Probability
| The ABC company has an ending cash balance at October 31, 2020 in its general ledger of | $ 27,290.00 | |||||
| The balance per the bank statement at October 31, 2020 was | $ 26,455.00 | PART 1: BANK RECONCLIATION | ||||
| The accounting has identified the following information related to the month of October: | Cash balance per bank statement | |||||
| On October 31, deposit of $2,500 not reflected on the bank statement. | ||||||
| Outstanding cheques of $3,000 on October 31 | ||||||
| Cheque for utility expense, $430, was incorrectly recorded in the books as $340. | ||||||
| Cheque of $1,000 from Customer A returned and marked "non-sufficient funds". | ||||||
| The bank teller accidentally entered the deposit total as $805 instead of $850. | ||||||
| Bank service charges of $200, per bank statement | Adjusted cash balance per bank statement | |||||
| Using the following worksheet to record your answers, prepare the following: | Cash balance per books | |||||
| 1. A bank reconciliation for ABC company at October 31, 2020. | ||||||
| 2. Any necessary journal entries resulting from the bank reconciliation | ||||||
| Adjusted cash balance per books | ||||||
| PART 2: JOURNAL ENTRIES | ||||||
| No | General Journal | Debit | Credit | |||
| 1 | ||||||
| 2 | ||||||
| 3 | ||||||
In: Accounting
The heights of American women 18 to 29 are normally distributed with a mean of 65 inches and a standard deviation of 3.5 inches. An American woman in this age bracket is chosen at random.
What is the probability that she is more than 68 inches stall?
What is the probability that she is less than 64 inches tall?
What is the probability that she is between 63 and 67 inches tall?
What is the probability that an American woman's height differs from the mean by more than 2.5 inches?
In: Statistics and Probability
It is known that 40% of American Idol winners become famous. A sample of 50 American Idol winners are randomly selected.
(a) [1] What is the probability that exactly 25 of them become famous?
(b) [1] Find the probability that at least 20 of them become famous.
(c) [2] What is the probability that between 17 and 27 (including both 17 and 27) of them become famous.
(d) [2] Find the expected number of American Idol winners become famous in this sample and its standard deviation.
In: Statistics and Probability
1) Why is the American president often called the most powerful leader in the world? If that is true, what special responsibilities does this reality entail? Should we limit the president’s role in world affairs? Why or why not? 2. Are the responsibilities of the most powerful leader in the world, the American president, too large a job for one person? Why has the American presidency as an institution grown so large? Are there any powers you think should be taken away from the president?
In: Psychology
The following information is available for three companies:
| Rope Co. | Chain Co. | Line Co. | |||||||
| Face value of bonds payable | $ | 211,000 | $ | 628,000 | $ | 517,000 | |||
| Interest rate | 7 | % | 6 | % | 5 | % | |||
| Income tax rate | 35 | % | 20 | % | 25 | % | |||
Required
a. Determine the annual before-tax interest cost
for each company in dollars.
| Before tax Cost | |
| Rope Company | |
| Chain Company | |
| Line Company |
b. Determine the annual after-tax interest cost
for each company in dollars. (Round your answers
to the nearest dollar amount.)
| After Tax Cost | |
| Rope Co. | |
| Chain Co. | |
| Line Co. |
c. Determine the annual after-tax interest cost
for each company as a percentage of the face value of the
bonds. (Round your answers to 1 decimal
place.)
| After Tax Interest cost | |
| Rope Co. | |
| Chain Co. | |
| Line Co. |
In: Accounting
The Campbell Soup Company manufactures and markets food products throughout the world. The following sales and receivable data (in millions) were reported by Campbell Soup for two recent years:
| Year 2 | Year 1 | |||
| Sales | $8,082 | $8,268 | ||
| Accounts receivable | 647 | 670 | ||
Assume that the accounts receivable (in thousands) were $635 million at the beginning of Year 1.
American Eagle Outfitters, Inc. sells clothing, accessories, and personal care products for men and women through its retail stores. American Eagle reported the following data (in millions) for two recent years:
| Year 2 | Year 1 | |||
| Sales | $3,522 | $3,283 | ||
| Accounts receivable | 81 | 68 | ||
Assume that the accounts receivable (in millions) were $74 million at the beginning of Year 1.
| Accounts receivable turnover ratios | ||||
| Year 2 | Year 1 | |||
| Campbell Soup | 12.27 | 12.67 | ||
| American Eagle Outfitters | 47.28 | 46.24 | ||
Use the above information to analyze the accounts receivable turnover ratios of American Eagle Outfitters and Campbell Soup.
a. Compute the average accounts receivable turnover ratio for Campbell Soup and American Eagle Outfitters for Year 2 and Year 1. Round interim calculations and final answers to two decimal places.
| Campbell Soup: | |
| American Eagle Outfitters: |
In: Accounting
Refer to the Baseball 2016 data, which reports information on the 2016 Major League Baseball season. Let attendance be the dependent variable and total team salary be the independent variable. Determine the regression equation and answer the following questions.
Draw a scatter diagram. From the diagram, does there seem to be a direct relationship between the two variables?
What is the expected attendance for a team with a salary of $100.0 million?
If the owners pay an additional $30 million, how many more people could they expect to attend?
At the .05 significance level, can we conclude that the slope of the regression line is positive? Conduct the appropriate test of hypothesis.
What percentage of the variation in attendance is accounted for by salary?
Determine the correlation between attendance and team batting average and between attendance and team ERA. Which is stronger? Conduct an appropriate test of hypothesis for each set of variables.
Show all work in Excel
| Team | League | Year Opened | Team Salary | Attendance | Wins | ERA | BA | HR | Year | Average salary | ||
| Arizona | National | 1998 | 65.80 | 2080145 | 79 | 4.04 | 0.264 | 154 | 2000 | 1988034 | ||
| Atlanta | National | 1996 | 89.60 | 2001392 | 67 | 4.41 | 0.251 | 100 | 2001 | 2264403 | ||
| Baltimore | American | 1992 | 118.90 | 2281202 | 81 | 4.05 | 0.250 | 217 | 2002 | 2383235 | ||
| Boston | American | 1912 | 168.70 | 2880694 | 78 | 4.31 | 0.265 | 161 | 2003 | 2555476 | ||
| Chicago Cubs | National | 1914 | 117.20 | 2959812 | 97 | 3.36 | 0.244 | 171 | 2004 | 2486609 | ||
| Chicago Sox | American | 1991 | 110.70 | 1755810 | 76 | 3.98 | 0.250 | 136 | 2005 | 2632655 | ||
| Cincinnati | National | 2003 | 117.70 | 2419506 | 64 | 4.33 | 0.248 | 167 | 2006 | 2866544 | ||
| Cleveland | American | 1994 | 87.70 | 1388905 | 81 | 3.67 | 0.256 | 141 | 2007 | 2944556 | ||
| Colorado | National | 1995 | 98.30 | 2506789 | 68 | 5.04 | 0.265 | 186 | 2008 | 3154845 | ||
| Detroit | American | 2000 | 172.80 | 2726048 | 74 | 4.64 | 0.270 | 151 | 2009 | 3240206 | ||
| Houston | American | 2000 | 69.10 | 2153585 | 86 | 3.57 | 0.250 | 230 | 2010 | 3297828 | ||
| Kansas City | American | 1973 | 112.90 | 2708549 | 95 | 3.73 | 0.269 | 139 | 2011 | 3305393 | ||
| LA Angels | American | 1966 | 146.40 | 3012765 | 85 | 3.94 | 0.246 | 176 | 2012 | 3440000 | ||
| LA Dodgers | National | 1962 | 230.40 | 3764815 | 92 | 3.44 | 0.250 | 187 | 2013 | 3650000 | ||
| Miami | National | 2012 | 84.60 | 1752235 | 71 | 4.02 | 0.260 | 120 | 2014 | 3950000 | ||
| Milwaukee | National | 2001 | 98.70 | 2542558 | 68 | 4.28 | 0.251 | 145 | 2015 | 4250000 | ||
| Minnesota | American | 2010 | 108.30 | 2220054 | 83 | 4.07 | 0.247 | 156 | ||||
| NY Mets | National | 2009 | 100.10 | 2569753 | 90 | 3.43 | 0.244 | 177 | ||||
| NY Yankees | American | 2009 | 213.50 | 3193795 | 87 | 4.05 | 0.251 | 212 | ||||
| Oakland | American | 1966 | 80.80 | 1768175 | 68 | 4.14 | 0.251 | 146 | ||||
| Philadelphia | National | 2004 | 133.00 | 1831080 | 63 | 4.69 | 0.249 | 130 | ||||
| Pittsburgh | National | 2001 | 85.90 | 2498596 | 98 | 3.21 | 0.260 | 140 | ||||
| San Diego | National | 2004 | 126.60 | 2459742 | 74 | 4.09 | 0.243 | 148 | ||||
| San Francisco | National | 2000 | 166.50 | 3375882 | 84 | 3.72 | 0.267 | 136 | ||||
| Seattle | American | 1999 | 123.20 | 2193581 | 76 | 4.16 | 0.249 | 198 | ||||
| St. Louis | National | 2006 | 120.30 | 3520889 | 100 | 2.94 | 0.253 | 137 | ||||
| Tampa Bay | American | 1990 | 74.80 | 1287054 | 80 | 3.74 | 0.252 | 167 | ||||
| Texas | American | 1994 | 144.80 | 2491875 | 88 | 4.24 | 0.257 | 172 | ||||
| Toronto | American | 1989 | 116.40 | 2794891 | 93 | 3.8 | 0.269 | 232 | ||||
| Washington | National | 2008 | 174.50 | 2619843 | 83 | 3.62 | 0.251 | 177 |
In: Math