Question 4

Dr Mutasa started a new business on 1 January 2017. The following transactions took place during his first month in business

2017

1.1 Started business with N$ 100 000 in cash

1.2 Put N$ 8000 of the cash into the business bank account

1.3 Bought a van on credit from Sensei's Kung-Fu Dojo for N$ 3000

1.4 Paid rent N$ 1000 by cheque

1.5 Bought goods on credit from Roy limited for N$ 4000

1.6 Paid shop expenses N$ 1500 by cheque

1.7 Sold goes on credit to Scott Company

1.8 Paid Perkin N$ 3000 by cheque

1.9 Received a cheque from Scott Company for N$ 2000

1.10 Paid Roy limited N$ 500 by cheque

1.11 Bought goods for N$ 3000 from Roy limited on credit

1.12 Cash sales N$2000

Required : Enter the above transactions in appropriate ledger accounts, balance off each accounts as at 31 January 2017 1 mark for every correct entry and balancing off.

Annual high temperatures in a certain location have been tracked for several years. Let X represent the number of years after 2000 and Y the high temperature. Based on the data shown below, calculate the linear regression equation using technology (each constant to 2 decimal places).

The equation is?

Interpret the slope

• For each additional 0.2 years, the annual high temperature will increase by 1 degree on average.
• For each additional year, the annual high temperature will increase by 33.41 degrees on average.
• For each additional year, the annual high temperature will increase by 0.2 degrees on average.
• For each additional 33.41 years, the annual high temperature will increase by 1 degree on average.

Interpret the y-intercept

• It does not make sense to interpret the intercept in this scenario.
• In 2002, the temperature was about 0.2.
• In 2013, the temperature was about 37.88.
• In 2000, the temperature was about 33.41.
• In 2002, the temperature was about 33.41.

Do the following present value problems. You must set up all present value problems before calculation. Merely writing down the answer (even if it is correct) is an automatic zero. You must show your work.

a. Suppose we have a four year fixed-payment loan with $1000 payments made at the end of each year. Given a market interest rate of 12 percent, how much was initially borrowed?

b. Suppose you were considering purchasing a $5000 machine today that would generate additional net profit of $2000 booked at the end of each year. Assuming you need a 15 percent return to justify the investment, would the investment be worth doing if you had only three years of payouts? Would your answer change if you had four years of $2000 payouts? Why or why not.

c. Consider two zero coupon bonds in which you receive $100 at the maturity date, one maturing in three years and one maturing in five years. Both are currently priced to yield 6 percent. Calculate the current market value of each bond?

Enron Corporation's 2001 third-quarter 10-Q report disclosed the following transaction with LJM2, a nonconsolidated special purpose entity (SPE) that was formed by Enron:

In June 2000, LJM2 purchased dark fiber optic cable from Enron for a purchase price of $100 million. LJM2 paid Enron $30 million in cash and the balance in an interest bearing note for $70 million. Enron recognized $67 million in pretax earnings in 2000 related to the asset sale. Pursuant to a marketing agreement with LJM2, Enron was compensated for marketing the fiber to others and providing operation and maintenance services to LJM2 with respect to the fiber. LJM2 sold a portion of the fiber to industry participants for $40 million, which resulted in Enron recognizing agency fee revenue of $20.3 million.

As investigations later discovered Enron controlled LJM2 in many ways.

The FASB ASC now requires the consolidation of SPEs (variable interest entities) that are essentially controlled by their primary beneficiary.

By selling goods to SPEs that it controlled but did not consolidate, did Enron overstate its earnings? What effect does consolidation have on the financial reporting for transactions between a firm and its controlled entities?

Year/Number of Years Since 1971/Number of stores

• Identify the initial value and the growth rate of your exponential model and explain what they mean in the context of Starbucks Stores. Put your explanations in a text box.

• Use your exponential model to predict the number of Starbucks locations in the following years:

1980, 1990, 2000, 2010, 2020, 2030, 2040, 2050

The following transactions need to be entered to a general ledger. 1. Molly invested cash in business, $20,000. 2. Purchased 2 new ovens on account for $6300. 3. Molly paid rent for November, $1500. 4. Purchased food supplies on acct for $2000. 5. Deposited meal delivery fees, $3400. 6. Paid wages to workers, $2000. 7. Purchased kitchen supplies with cash, $500. 8. Deposited meal delivery fees, $3000. 9. Purchased food supplies on account, $2500. 10. Deposited meal delivery fees, $3200. 11. paid wages to workers, $2050. 12. Deposited meal delivery fees, $3050. 13. Paid phone bill, $200. 14. Paid utilities bill, $500. 15. Molly withdrew cash for personal use, $3000. Additional info to consider on ledger: 1) food supply remaining on hand, $2050, Beginning balance=$2100 2) kitchen supplies used, $600. Beginning balance=$1200 3) November rent used 4) depreciation of ovens, $75. 5) Wages earned, not yet paid. $950

annual income for Americans in 2012. Use the data set to answer the following questions: Hint: Use Excel

Data set

income (in dollars)

1. Formulate the null and alternative hypotheses that can be used to test the assumption that the average American annual income is $42,500.

Ho = 42500

Ha ≠ 42500

2. Compute the value of the test statistic.
3. What is the p-value?
4. At α = .05, what is the critical value?
5. At α = .05, what is your conclusion? Briefly justify your answer.
6. Compute a 95% confidence interval for the population mean. Does it support your conclusion?

Implementation in CLIPS programming language for the following problem

Acme Electronics makes a device called the Thing 2000. This device is available in five different models distinguished by the chassis. Each chassis provides a number of bays for optional gizmos and is capable of generating a certain amount of power. The following table sumarizes the chassis attributes:

Chassis --------- Gizmo Bays provided --- Power Provided----- Price($)
C100--------------------------- 1--------------------------- 4------------------ 2000
C200------------------------- 2 -------------------------- 5------------------ 2500
C300--------------------------- 3---------------------------7 ------------------3000
C400---------------------------2----------------------------8------------------ 3000
C500-------------------------- 4 ---------------------------9 ------------------3500

Each gizmo that can be installed in the chassis requires a certain amount of power to operate. The following table summarizes the gizmo attributes

Gizmo-------------------- Power Used --------------------Price($)

Zaptron ------------------------ 2 ------------------------------100
Yatmizer ----------------------- 6------------------------------ 800
Phenerator--------------------- 1 ------------------------------300
Malcifier----------------------- 3 ------------------------------200
Zeta-shield------------------- 4 ------------------------------150
Warnosynchronizer---------- 2 -------------------------------50
Dynoseparator---------------- 3 ------------------------------400

Given as input facts representing the chassis and any gizmos that have been selected, write a program that generates facts representing the number of gizmos used, the total amount of power required for the gizmo, and the total price of the chassis and all gizmos selected

Use Java

(Find the number of days in a month)

Write a program that prompts the user to enter the month and year and displays the number of days in the month.

For example,

If the user entered month 2 and year 2012, the program should display that February 2012 has 29 days.

If the user entered month 3 and year 2015, the program should display that March 2015 has 31 days.

Sample Run 1

Enter a month in the year (e.g., 1 for Jan): 2
Enter a year: 2012
February 2012 has 29 days

Sample Run 2

Enter a month in the year (e.g., 1 for Jan): 4
Enter a year: 2005
April 2005 has 30 days

Sample Run 3

Enter a month in the year (e.g., 1 for Jan): 2
Enter a year: 2006
February 2006 has 28 days

Sample Run 4

Enter a month in the year (e.g., 1 for Jan): 2
Enter a year: 2000
February 2000 has 29 days

Class Name: Exercise03_11

If you get a logical or runtime error, please refer https://liveexample.pearsoncmg.com/faq.html.

Calculate:

1) Covariance

2) Expected return on a portfolio XY

2) Risk on a portfolio XY

Weight of each asset is 50%.

Average annual return:

asset X: 11.74%

asset Y: 11.14%

Standard deviation:

asset X: 8.9

asset Y: 2.78