ORT QUESTION (ESSAY / CASE STUDY /
EXERCISE)
Case Study assignment question
Simon Mtshali, a 67-year-old South African resident, is married out
of community of property to Maria
Mathe Mtshali. They only have one child (Brian Mtshali) who is 35
years old. None of them has a
disability. Simon had the following receipts and accruals for the
current year of assessment:
R
Salary from his employer 390 000
Interest from a South African source (not a tax from investment)
40 000
Dividend from South African company 8 000
The following were incurred by Simon during the current year of
assessment:
Pension fund contribution deducted from his salary (allowable
deduction) 17 000
Household expenses (not deductible for income tax purposes) 90
000
Medical aid contribution per month on his behalf and his wife 5
000
All contributions to the retirement fund and medical aid were paid
for by Simon.
Simon owns a small house in America which he lets out to a tenant
at a monthly fee of R3 500. The
house was occupied for the full current of year of assessment and
the tenant paid all rental amount
due for the current year of assessment. Since Simon is a South
African resident, he hired an agent
based in America to collect rental fee from the tenant and deposit
it into the bank account on behalf
of Simon. Simon pays the agent a monthly fee of R600 for this
service.
Simon also runs a catering business from home. The total receipts
of income nature for catering
services from Simon’s clients amounted to R220 000 for the 2019
year of assessment. Simon uses
his home kitchen that occupies 10% of the floor area of his home,
to prepare the food for his catering
business. He has built an additional storeroom to store only the
ingredients used for his trading
activities. The interest incurred on a loan used to build this
storeroom is R1 500 for the 2019 year of
| MODULE | TAXATION 2A |
| TOTAL MARKS | 20 MARKS |
assessment. During the 2019 year of assessment, he repaid R2 000 of
the capital outstanding on this
loan. Two-thirds of the Simon’s grocery purchases relates to his
catering business. His grocery
purchases amounted to R120 000 for the 2019 year of assessment. The
interest portion of the
mortgage loan repayments on the mortgage bond on Simon’s home is R8
200 for the 2019 year of
assessment. Simon pays R4 500 a month to a full-time assistant in
his catering business. He also
paid his son, Brian Mtshali, R7 000 for the 2019 year of assessment
for assisting as a waiter at
functions. Had he hired a waiter, it would have cost him R9 000
during the 2019 year of assessment.
Required:
Calculate Simon’s tax liability for the 2019 year of assessment
In: Finance
Morphology Exercises
Divide the following words by placing a + between their morphemes (Some of the words maybe monomorphemic and therefore indivisible.)
Example: replaces = re + place + s
retroactive
befreinded
televise
margin
endearment
psychology
unpalatable
holiday
grandmother
morphemic
mistreatment
deactivation
saltpeter
airsickness
Match each expression under A with the one statement under B that characterizes it.
|
A |
B |
|
a. noisy crow b. scarecrow c. the crow d. crowlike e. crows |
(1) compound noun (2) root morpheme plus derivational suffix (3) phrase consisting of adjective plus noun (4) root morpheme plus inflectional affix (5) root morpheme plus inflectional suffix (6) grammatical morpheme followed by lexical morpheme |
Write the one proper description from the list under B for the italicized part of each word in A.
|
A |
B |
|
a. terrorized b. uncivilized c. terrorize d. lukewarm e. impossible |
(1) free root (2) bound root (3) inflectional suffix (4) derivational suffix (5) inflectional prefix (6) derivational prefix (7) inflectional infix (8) derivational infix |
In: Psychology
The decision times measured were as follows:
|
Family |
Decision Time |
|
|
Current |
Streamlined |
|
|
1 |
2.86 |
7.87 |
|
2 |
7.47 |
8.54 |
|
3 |
6.84 |
9.92 |
|
4 |
3.72 |
4.22 |
|
5 |
9.65 |
1.69 |
|
6 |
3.89 |
2.11 |
|
7 |
7.25 |
2.91 |
|
8 |
6.04 |
4.44 |
Joe wants to know if there is a difference in decision time between the two menus, with a 0.05 alpha.
In: Statistics and Probability
| XYZ stock price and dividend history are as follows: |
| Year | Beginning-of-Year Price | Dividend Paid at Year-End |
| 2010 | $ 124 | $ 4 |
| 2011 | $ 135 | $ 4 |
| 2012 | $ 115 | $ 4 |
| 2013 | $ 120 | $ 4 |
|
An investor buys six shares of XYZ at the beginning of 2010, buys another two shares at the beginning of 2011, sells one share at the beginning of 2012, and sells all seven remaining shares at the beginning of 2013. |
What is the arithmetic average time-weighted rates of return for the investor? (Do not round intermediate
calculations. Enter your answer as a decimal number rounded to four decimal places)
Arithmetic average time-weighted rates of return?
In: Finance
The price of natural gas varies from country to country. Suppose the country price is normally distributed with a mean of $5 per thousand cubic feet and standard deviation of $0.8.
(a) What is the first quartile of the price of natural gas? What is the 95th percentile of the price of natural gas? Show your work.
(b) We are analyzing a group of seven countries. What is the probability that the price of natural gas would exceed $5 in more than five of those countries? Show your work.
(c) Take two countries and assume that their prices of natural gas are independent. What is the probability that the price of gas is lower than $4 in at least one of them?
In: Statistics and Probability
Considering the following time series data: Week 1 2 3 4 5 6 7 8 9 10 Sales 8 11 14 19 16 10 8 12 14 16 Compute the naïve forecast and the three-week Moving Average and evaluate the forecast accuracy considering the Mean Absolute Error (MAE), Mean Squared Error (MSE) and the Mean Absolute Percentage Error (MAPE) for each of these two predictions. Compare both of them and determine which is the best model
In: Statistics and Probability
You can use any language. You have to provide all the data, output and input.
You are to use Linked Lists to do this Program.
The XYZ Widget store receives shipments of widgets at various costs. The store’s policy is to charge a 30% markup, and to sell widgets which were received earlier before widgets which were received later. This is called a FIFO policy.
Write a program using linked lists that reads in three types of input data and does the following:
A sales record which contains an “S” in column 1 and a quantity which represents the number of Widgets sold
A receipt record which contains an “R” in column 1 and a quantity and a price which represent the receipt of a quantity of widgets at the stated cost per widget.
A promotion card which contains a “P” in column 1 and a number such as 25 which would represent a 25% discount to the next 2 buying customers (the next 2 sales cards )
The program should
Print a message after each receipt record is read in with the price of the widgets received.
Print a message after each promotion card is read in with the amount of discount the next to customers will be receiving.
After a sales record is read in print a message stating the number sold and the price of each widget and total price of the order. For example if 200 widgets were sold and there were 50 widgets at $1.00 and 100 at $2.00 and 50 at $3.00 print (recall the 30% markup and the FIFO policy)
200 Widgets sold
50 at 1.30 each Sales: $ 65.00
100 at 2.60 each Sales: $ 260.00
50 at 3.90 each Sales: $ 195.00
Total Sale: $ 520.00
If there are an insufficient number of widgets in stock to fill an order sell as many as are available and then print
“ Remainder of xxx Widgets not available”
Do not forget the promotional discount.
At the end of the data before exiting the program print out under a separate heading the widgets still left in stock and their original purchase price.
Data for program
R/S/P # widgets or Price
discount%
R 150 $1.00
R 130 $2.00
S 145
R 50 $2.50
S 75
S 180
R 50 $4.00
R 30 $5.00
R 40 $5.50
P 30%
S 50
S 30
R 50 $6.00
R 265 $10.00
S 60
P 50%
S 100
S 70
S 175
R 40 $14.00
R 75 $15.00
S 110
R 30 $16.00
R 40 $18.00
In: Computer Science
A survey was conducted to determine whether hours of sleep per night are independent of age. A sample of individuals was asked to indicate the number of hours of sleep per night with categorical options: fewer than 6 hours, 6 to 6.9 hours, 7 to 7.9 hours, and 8 hours or more. Later in the survey, the individuals were asked to indicate their age with categorical options: age 39 or younger and age 40 or older. Sample data follow.
| Hours of Sleep | Age Group | |
|---|---|---|
| 39 or younger | 40 or older | |
| Fewer than 6 | 38 | 36 |
| 6 to 6.9 | 60 | 57 |
| 7 to 7.9 | 75 | 73 |
| 8 or more | 67 | 94 |
(a)
Conduct a test of independence to determine whether hours of sleep are independent of age.
Find the value of the test statistic. (Round your answer to three decimal places.)
What is the p-value? (Round your answer to four decimal places.)
p-value =
Using a 0.05 level of significance, what is your conclusion?
What is your estimate of the percentages of individuals who sleep fewer than 6 hours, 6 to 6.9 hours, 7 to 7.9 hours, and 8 hours or more per night?
Fewer than 6 %
6 to 6.9 %
7 to 7.9 %
8 or more %
In: Statistics and Probability
You are considering an investment opportunity that yields $540 one year from today, $900 in two years, and $1,300 in three years. What is the present value of these cash inflows if your opportunity cost is 7%?
In: Finance
3. Use the regression line formula to forecast how much a customer might spend on merchandise if that customer visited the store 13 times in a 6 month period. Consider the average monthly sales of 2014, $1310, as your base to:
* Calculate indices for each month for the next two years.
* Graph a time series plot.
4. In the Data Analysis Toolpak, use Excel's Exponential Smoothing option.
* Apply a damping factor of .5, to your monthly sales data.
*Create a new time series graph that compares the original and the revised monthly sales data.
| ORDERS VS. SHIPMENTS | CUSTOMERS IN PAST 6 MONTHS | MONTHLY SALES ($) | ||||||||
| Size | # Ordered | # Received | Customer # | # Visits | $ Purchases | Month | $ Sales | |||
| Extra Small | 30 | 23 | 1 | 8 | 468 | Jan | 1375 | |||
| Small | 50 | 54 | 2 | 6 | 384 | Feb | 1319 | |||
| Medium | 85 | 92 | 3 | 8 | 463 | Mar | 1222 | |||
| Large | 95 | 91 | 4 | 2 | 189 | Apr | 1328 | |||
| Extra Large | 60 | 63 | 5 | 10 | 542 | May | 1493 | |||
| 2X Large | 45 | 42 | 6 | 4 | 299 | Jun | 1492 | |||
| 7 | 6 | 345 | Jul | 1489 | ||||||
| 8 | 2 | 197 | Aug | 1354 | ||||||
| 9 | 4 | 293 | Sep | 1530 | ||||||
| 10 | 1 | 119 | Oct | 1483 | ||||||
| 11 | 3 | 211 | Nov | 1450 | ||||||
| 12 | 9 | 479 | Dec | 1495 | ||||||
| 13 | 7 | 430 | Jan | 1545 | ||||||
| 14 | 7 | 404 | Feb | 1454 | ||||||
| 15 | 6 | 359 | Mar | 1322 | ||||||
| 16 | 10 | 544 | Apr | 1492 | ||||||
| 17 | 9 | 522 | May | 1678 | ||||||
| 18 | 5 | 327 | Jun | 1645 | ||||||
| 19 | 6 | 353 | Jul | 1580 | ||||||
| 20 | 7 | 405 | Aug | 1493 | ||||||
| 21 | 4 | 289 | Sep | 1719 | ||||||
| 22 | 7 | 386 | Oct | 1573 | ||||||
| 23 | 7 | 403 | Nov | 1629 | ||||||
| 24 | 1 | 146 | Dec | 1680 | ||||||
| 25 | 7 | 416 | ||||||||
| 26 | 9 | 485 | ||||||||
| 27 | 3 | 333 | ||||||||
| 28 | 7 | 241 | ||||||||
| 29 | 2 | 391 | ||||||||
| 30 | 6 | 268 | ||||||||
In: Statistics and Probability