Unit: Quantitative Analysis
Sign in to download the full Topic PDF and enable offline revision mode.
Login to AccessPractice CPA Quantitative Analysis Probability questions with detailed answers and explanations.
Access past exam questions by topic, improve your understanding, and download PDF for offline revision.
Required:
Assuming that the investor makes eight investment trials, determine:
(i) The probability that the investor meets the target profit exactly 4 times.
(ii) The probability that the investor meets the target profit at least once.
(iii) The expected value.
(iv) The variance.
| No use | Light use | Heavy use | ||
| No use | 0.35 | 0.15 | 0.50 | |
| Previous day | Light use | 0.30 | 0.35 | 0.35 |
| Heavy use | 0.15 | 0.30 | 0.55 |
| Sales Sh.“000” | Probability of outstanding invoice |
| 0 – 100 | 0.20 |
| 100 – 200 | 0.18 |
| 200 – 300 | 0.22 |
| 300 – 400 | 0.16 |
| 400 – 500 | 0.09 |
| 500 – 600 | 0.08 |
| 600 – 700 | 0.04 |
| 700 – 800 | 0.03 |
Required:
Using normal distribution approach:
(i) Calculate the value that will be exceeded 10% of the time assuming an observation is randomly selected from the distribution.
(ii) Compute the value that will be exceeded 85% of the time assuming an observation is randomly selected from the distribution.
(iii) Determine the two values of which the smaller value has 25% of the values below it and the larger value has 25% of the values above it.
(iv) Determine the value in which 15% of the observations will be below the distribution.
Required:
The probability that the output of an acre of land:
(i) Is greater than 48 bags.
(ii) Is greater than 60 bags.
(iii) Is less than 45 bags.
(iv) Lies between 50 bags and 60 bags.
(i) Transition matrix.
(ii) Equilibrium state.
(iii) Initial probability vector.
| Result | % of candidates |
| Passed with distinction | 10% |
| Passed with credit | 60% |
| Failed | 30% |
| Profit Sh.“million” | Probability |
| 10 – 20 | 0.05 |
| 20 – 30 | 0.05 |
| 30 – 40 | 0.10 |
| 40 – 50 | 0.15 |
| 50 – 60 | 0.30 |
| 60 – 70 | 0.10 |
| 70 – 80 | 0.20 |
| 80 – 90 | 0.05 |
| Opinion | |||
| Students gender | In favour | Opposed | Undecided |
| Male | 40 | 10 | 15 |
| Female | 20 | 30 | 20 |
(i) Joint probability.
(ii) Mutually exclusive events.
(iii) Conditional probability.
(iv) Dependent events.
Required:
(a) The probability that one customer will have drawn five defective components by the end of 5 weeks.
(b) The probability that two customers will have drawn two defective components each, two none and the other components, in two weeks.
Required:
Using the Poisson distribution, calculate the approximate number of packets containing:
(i) No defectives.
(ii) 1 defective.
(iii) 2 defectives.
(i) Binomial distribution.
(ii) Poisson distribution.
| Type of defect | Probability |
| A | 0.15 |
| B | 0.14 |
| C(if it neither contains defect A nor defect B) | 0.3 |
| C(if it contains either defect A or defect B) | 0.2 |
| C(if it contains both defects A and B) | 0.1 |
|
Digital boxes sold (units) Probability |
0 0.05 |
1 0.05 |
2 0.10 |
3 0.15 |
4 0.20 |
5 0.15 |
6 0.15 |
7 0.10 |
8 0.05 |