Unit: Quantitative Analysis
17 Questions| Year | |||
| 2019 | 2020 | 2021 | |
| Units produced and sold: “million" | 4 | 8 | 12 |
| Revenue Sh."million" | 2,320 | 4,480 | 6,480 |
| Cost Sh."million" | 10,404 | 9,832 | 9,272 |
(i) Joint probability.
(ii) Mutually exclusive events.
(iii) Conditional probability.
(iv) Dependent events.
| Age (years) | Number of employees |
| 20-25 | 20 |
| 25-30 | 70 |
| 30-35 | 100 |
| 35-40 | 65 |
| 40-45 | 40 |
| 45-50 | 25 |
| 50-55 | 15 |
| 55-60 | 10 |
| 60-65 | 5 |
Required:
(i) The interval within which the population mean should fall at 95% level of confidence.
(ii) The sample size of invoices that would result in a 99% confidence level of the interval obtained in (a) (i) above.
| Brand A | Brand B | |
| Mean life (days) | 1,730 | 1,684 |
| Standard deviation (in days) | 102 | 108 |
| Sample size | 200 | 200 |
| Won | Defeated | Drawn | |
| Adopted strategy K | 130 | 20 | 60 |
| Adopted strategy P | 110 | 30 | 50 |
| Month | Number of machine hours "000" | Electricity expense "000" |
| January | 72 | 1,020 |
| February | 55 | 820 |
| March | 39 | 720 |
| April | 60 | 900 |
| May | 49 | 870 |
| June | 39 | 720 |
| July | 53 | 825 |
| August | 81 | 1,365 |
| September | 63 | 870 |
| October | 59 | 890 |
| November | 45 | 790 |
| December | 50 | 940 |
| Product 1 | Product 2 | |
| Processing time: | ||
| 1.6 | 1.0 |
| 2.5 | 1.0 |
Selling price (Sh./unit) | 22 | 48 |
| Material and labour cost (Sh./unit) | 14 | 37 |
| Maximum possible production and sale (units) | 30 | 50 |
| Quarterly profits (Sh."million") | ||||
| Year | Quarter 1 | Quarter 2 | Quarter 3 | Quarter 4 |
| 2019 | 23 | 32 | 27 | 21 |
| 2020 | 27 | 35 | 32 | 24 |
| 2021 | 31 | 43 | 40 | 29 |
1. A diversified portfolio promising Sh.15 million with a probability of 0.7 and Sh.8 million with a
probability of 0.3.
2. A risky investment consisting of two contracts with independent outcomes one promising Sh.7 million with a probability of 0.7 and the other Sh.3.5 million with a probability of 0.3.
Required:
(i) Construct a decision tree depicting the above information using the expected monetary value (EMV) criterion.
(ii) Advise on the best decision using the EMV criterion.
Want to join the discussion?
Log in to post comments and interact with tutors.
Login to Comment