Jan 1, 2020 - Issue 1,000 - $1,000 5-year 10% bonds, to yield 8%; Interest is paid semi-annually on June 30^th and Dec 31^st. (Round all numbers to nearest dollar throughout).

1.Calculate the PV of the bond obligation.

2.Make the original JE for issuance on Jan 1, 2020

3.Prepare the first four lines of the amortization table

4.Make the JEs for June 30 and Dec 31 of 2020.

Omega Coffee Shop enters into a contract with Software Wizards Co. on May 15, 2020, to deliver 100 bags of ground coffee beans to Software on June 1. Software agrees to pay $1,000 for the coffee beans, which cost Omega $6 each. Omega delivers the bags of coffee beans on June 1, 2020, and receives payment from Software on June 20, 2020.

Prepare the journal entries for Omega Coffee Shop related to this contract.

Goose Corporation, a C corporation, incurs a net capital loss of $12,000 for 2020. It also has ordinary income of $10,000 in 2020. Goose had net capital gains of $2,500 in 2016 and $5,000 in 2019.

Answer the following:

a. Determine the amount, if any, of the net capital loss of $12,000 that is deductible in 2020.

b. Determine the amount, if any, of the net capital loss of $12,000 that is carried forward to 2021.

Please show all calculations and explain. Thank you.

Wasatch Corp. (WC) received a $200,000 dividend from Tager Corporation (TC). WC owns 15 percent of the TC stock. Compute WC’s deductible DRD in each of the following situations:

a. WC’s 2020 taxable income (loss) without the dividend income or the DRD is $10,000.

b. WC’s 2020 taxable income (loss) without the dividend income or the DRD is $(10,000).

c. WC’s 2020 taxable income (loss) without the dividend income or the DRD is $(101,000).

Disney reported the following information related to his ownership in pass through entities for 2020.

Calculate Disney’s AGI (showing your work). What is the amount of any suspended loss and why is it suspended?

1. On December 10, 2020, Astor, a US based corporation purchased inventory on credit from a vendor located in Qatar for 300,000 Qatar rial. Astor paid the Qatar vendor the 300,000 rial on February 10, 2021. The exchange rate between Qatar rial and US dollar on each of the following dates were:
                                                               Spot   

            December 10, 2020                 $.275  

            December 31, 2020                 $.268  

            February 10, 2021                   $.273

Prepare all necessary journal entries.

In 2013, the Pew Research Foundation reported that "42% of U.S. adults report that they live with one or more chronic conditions". However, this value was based on a sample, so it may not be a perfect estimate for the population parameter of interest on its own. The study reported a standard error of about 2.2%, and a normal model may reasonably be used in this setting.

1. Create a 95% confidence interval for the proportion of U.S. adults who live with one or more chronic conditions. Round to four decimal places.

_____ % to _____ % ???

2. Identify each of the following statements as true or false. Provide an explanation to justify each of your answers.

? True False  a. We can say with certainty that the confidence interval from part 1 contains the true percentage of U.S. adults who suffer from a chronic illness.

? True False  b. If we repeated this study 1,000 times and constructed a 95% confidence interval for each study, then approximately 950 of those confidence intervals would contain the true fraction of U.S. adults who suffer from chronic illnesses.

? True False  c. The poll provides statistically significant evidence (at the α=0.05α=0.05 level) that the percentage of U.S. adults who suffer from chronic illnesses is below 50%.We can say with certainty that the confidence interval from part 1 contains the true percentage of U.S. adults who suffer from a chronic illness.

? True False  d. Since the standard error is 2.2%, only 2.2% of people in the study communicated uncertainty about their answer.

Please read the following excerpt from an article:

" As President Barack Obama prepares to depart Thursday for his first Asia trip, Chinese premier Wen Jiabao is urging the U.S. to keep its deficit to an "appropriate size," a clear message to the leader of the world's largest debtor nation from its largest creditor.

China is the largest holder of U.S. government debt and has invested an estimated 70% of its more than $2 trillion stockpile of foreign-exchange reserves (the world's largest) in dollar assets, Reuters reports. Further dollar weakness, brought on by enormous U.S. deficit spending and near-zero interest rates, would erode the value of China's huge U.S. holdings.

"Most importantly, we hope the United States will keep an appropriate size to its deficit so that there will be basic stability in the exchange rate, and that is conducive to stability and the recovery of the global economy," Wen Jiabao said over the weekend at a news conference in Egypt.  

In contrast, the best strategy for the U.S. may be an inflationary stance. We need stimulus spending to jump start our economy and reduce the real value of our record budget deficit of $1.42 trillion in the fiscal year that ended Sept. 30. An improved U.S. economy also would mean more Americans buying up Chinese-made goods"

Please comment on the following questions:

Why is China concerned about the value of US dollar? What can they do to decrease their exposure to fluctuations in the value of US dollar? Is decreasing exposure to US dollar an easy task for China? Why?

In November 2012, a research study claimed that less than two-thirds of U.S. adults thought that President Obama would keep U.S. safe from terrorists during his second term. In a random sample of 1,009 adults, 655 stated that they believed this.

Test the study's claim at 5% significance that less than two-thirds (67%) of U.S. adults thought that Obama would keep the U.S. safe from terrorists during his second term.

A. Step 1: Determine the Hypotheses

B. Step 2: Collect the Data

C. Step 3: Assess the Evidence

D. Step 4: State a Conclusion

5. Think about the possibility that your conclusion in the hypothesis is in error.

A. Suppose we drew the wrong conclusion in the hypothesis test above on Obama and terrorists. What type of error would this be?

B. Explain what must be true about the population for such an error to occur.

6. The test statistic in the last problem did not lead us to support the claim that less than two-thirds of U.S. adults believed that Obama would protect U.S. from terrorists in his second term.

A. Suppose that the sample size was doubled, and from this sample, the same sample proportion was observed. Would the new statistic make us more or likely to support the claim?

B. Does increasing the sample size make the difference between the sample proportion and the assumed population proportion more statistically significant, real-world significant, or both?

Create a XSD Schema to validate and provide structure for the XML document below:

<?xml version="1.0" encoding="UTF-8" ?>
<forecast qTime="28/10/20 10:00 PM" qLocation="Singapore">
<weather yyyymmdd="20200430">
<year>2020</year>  
<month>04</month>
<date>30</date>
<comment>Plenty of sunshine</comment>
<code>sunny</code>
<highest>32.6</highest>
<lowest>28.4</lowest>
</weather>
<weather yyyymmdd="20200218">
<year>2020</year>  
<month>02</month>
<date>18</date>
<comment>Plenty of sunshine</comment>
<code>sunny</code>
<highest>34.6</highest>
<lowest>30.5</lowest>
</weather>
<weather yyyymmdd="20200710">
<year>2020</year>  
<month>07</month>
<date>10</date>
<comment>Partly sunny</comment>
<code>partlySunny</code>
<highest>33.1</highest>
<lowest>29.2</lowest>
</weather>
<weather yyyymmdd="20200616">
<year>2020</year>  
<month>06</month>
<date>16</date>
<comment>Considerable clouds</comment>
<code>cloudy</code>
<highest>30.5</highest>
<lowest>25.4</lowest>
</weather>
<weather yyyymmdd="20200612">
<year>2020</year>  
<month>06</month>
<date>12</date>
<comment>Cloudy with a thunderstorm</comment>
<code>thunderstorm</code>
<highest>29.1</highest>
<lowest>23.2</lowest>
</weather>
<weather yyyymmdd="20200421">
<year>2020</year>  
<month>04</month>
<date>21</date>
<comment>Plenty of sunshine</comment>
<code>sunny</code>
<highest>32.2</highest>
<lowest>29.8</lowest>
</weather>
<weather yyyymmdd="20200628">
<year>2020</year>  
<month>06</month>
<date>28</date>
<comment>A morning shower, then rain</comment>
<code>rain</code>
<highest>30.2</highest>
<lowest>22.7</lowest>
</weather>
<weather>
<weather yyyymmdd="20200502">
<year>2020</year>  
<month>05</month>
<date>02</date>
<comment>Cloudy with a thunderstorm</comment>
<code>thunderstorm</code>
<highest>28.1</highest>
<lowest>26.9</lowest>
</weather>
<weather yyyymmdd="20200428">
<year>2020</year>  
<month>04</month>
<date>28</date>
<comment>A morning shower</comment>
<code>rain</code>
<highest>28.8</highest>
<lowest>22.2</lowest>
</weather>
<weather yyyymmdd="20200410">
<year>2020</year>  
<month>04</month>
<date>10</date>
<comment>Partly sunny</comment>
<code>partlySunny</code>
<highest>33.7</highest>
<lowest>29.3</lowest>
</weather>
<weather yyyymmdd="20200730">
<year>2020</year>  
<month>07</month>
<date>30</date>
<comment>Plenty of sunshine</comment>
<code>sunny</code>
<highest>32.3</highest>
<lowest>28.4</lowest>
</weather>
<weather yyyymmdd="20200706">
<year>2020</year>  
<month>07</month>
<date>06</date>
<comment>Plenty of sunshine</comment>
<code>sunny</code>
<highest>34.5</highest>
<lowest>30.6</lowest>
</weather>
</forecast>