CIMA CIMAPRO15-P01-X1-ENG : P1 - Management Accounting Question Tutorial

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CIMA CIMAPRO15-P01-X1-ENG Exam Syllabus Topics:

CIMA P1 - Management Accounting Question Tutorial Sample Questions:

1. THS produces two products from different combinations of the same resources. Details of the products are shown below:

Identify, using graphical linear programming, the optimal production plan for products E and R to maximize THS's profit in the month.

A) The solution (from the graph0 is to produce 375 units of E and 870 units of R.
B) The solution (from the graph0 is to produce 495 units of E and 470 units of R.
C) The solution (from the graph0 is to produce 475 units of E and 770 units of R.
D) The solution (from the graph0 is to produce 675 units of E and 470 units of R.
E) The solution (from the graph0 is to produce 375 units of E and 750 units of R.
F) The solution (from the graph0 is to produce 495 units of E and 670 units of R.

2. CH is a building supplies company that sells products to trade and private customers.
Budget data for each of the six months to March are given below:

80% of the value of credit sales is received in the month after sale, 10% two months after sale and 8% three months after sale. The balance is written off as a bad debt.
75% of the value of credit purchases is paid in the month after purchase and the remaining 25% is paid two months after purchase.
All other operating costs are paid in the month they are incurred.
CH has placed an order for four new forklift trucks that will cost $25,000 each. The scheduled payment date is in February.
The cash balance at 1 January is estimated to be $15,000.
Prepare a cash budget for each of the THREE months of January, February and March.
Select All the correct answers.

A) The total payments in February will be $405 000
B) Total payments in March will be $323 000
C) The total receipts in January will be $320 000
D) The total receipts in January will be $245 000

3. A university is trying to decide whether or not to advertise a new post-graduate degree programme. The number of students starting the programme is dependent on economic conditions. If conditions are poor, it is expected that the programme will attract 40 students without advertising. There is a 60% chance that economic conditions will be poor. If economic conditions are good it is expected that the programme will attract only 20 students without advertising. There is a 40% chance that economic conditions will be good.
If the programme is advertised and economic conditions are poor, there is a 65% chance that the advertising will stimulate further demand and student numbers will increase to 50. If economic conditions are good, there is a 25% chance the advertising will stimulate further demand and numbers will increase to 25 students.
The profit expected, before deducting the cost of advertising, at different levels of student numbers are as follows:

The cost of advertising the programme will be $15,000.
Required:
Demonstrate, using a decision tree, whether the programme should be advertised.

A) Yes, the programme should be advertised as the profit will be $82 000
B) No, the programme should not be advertised as there will be a loss $82 000
C) Yes, the programme should be advertised as the profit will be $92 000
D) No, the programme should not be advertised as there will be a loss $92 000

4. A company is preparing its annual budget and is estimating the number of units of Product A that it will sell in each quarter of year 2. Past experience has shown that the trend for sales of the product is represented by the following relationship:
y = a + bx where
y = number of sales units in the quarter a = 10,000 units b = 3,000 units x = the quarter number where 1 = quarter 1 of year 1 Actual sales of Product A in Year 1 were affected by seasonal variations and were as follows:
Quarter 1:14,000 units Quarter2: 18,000 units Quarter 3: 18,000 units Quarter 4: 20,000 units Calculate the expected sales of Product A (in units) for each quarter of year 2, after adjusting for seasonal variations using the additive model.

A) The expected sales for year 2 Quarter 4 was 33000 units
B) The expected sales for year 2 Quarter 4 was 32000 units
C) The expected sales for year 2 Quarter 4 was 40000 units
D) The expected sales for year 2 Quarter 4 was 32700 units

5. JRL manufactures two products from different combinations of the same resources. Unit selling prices and unit cost details for each product are as follows:

Identify, using graphical linear programming, the weekly production schedule for products J and L that will maximize the profits of JRL during the next four weeks.

A) The solution from the graph is to produce 330 units of J and 290 units of L. (A simplex solution shows the true optimum to be 332.333 units of J and 293.333 units of L.)
B) The solution from the graph is to produce 330 units of J and 280 units of L. (A simplex solution shows the true optimum to be 332.333 units of J and 283.333 units of L.)
C) The solution from the graph is to produce 312 units of J and 295 units of L. (A simplex solution shows the true optimum to be 312.333 units of J and 294.999 units of L.)
D) The solution from the graph is to produce 317 units of J and 270 units of L. (A simplex solution shows the true optimum to be 316.666 units of J and 269.666 units of L.)
E) The solution from the graph is to produce 315 units of J and 290 units of L. (A simplex solution shows the true optimum to be 316.333 units of J and 293.333 units of L.)
F) The solution from the graph is to produce 310 units of J and 280 units of L. (A simplex solution shows the true optimum to be 308.333 units of J and 283.333 units of L.)

Solutions: