Unit: Quantitative Analysis
15 Questions(i) Cyclical variations.
(ii) Random variations.
(iii) Seasonal variations.
(iv) Trend.
| Month | Profit (Sh."million") |
| January | 40 |
| February | 38 |
| March | 39 |
| April | 41 |
| May | 36 |
| June | 41 |
| July | 34 |
| August | 37 |
| September | 35 |
| October | 37 |
| November | 40 |
| December | 41 |
| Profit ("Sh."million") | Number of companies |
| 10-20 | 15 |
| 20-30 | 13 |
| 30-40 | 25 |
| 40-50 | 30 |
| 50-60 | 16 |
| 60-70 | 10 |
| 70-80 | 22 |
| 80-90 | 12 |
| 90-100 | 7 |
| Region | Sales before promotional campaign "Sh.million" | Sales after promotional campaign "Sh.million" |
| 1 | 53 | 58 |
| 2 | 28 | 29 |
| 3 | 31 | 30 |
| 4 | 48 | 50 |
| 5 | 50 | 50 |
| 6 | 42 | 45 |
| 7 | 63 | 59 |
| 8 | 40 | 36 |
| 9 | 25 | 22 |
| 10 | 30 | 28 |
Required:
Using the Poisson distribution, calculate the approximate number of packets containing:
(i) No defectives.
(ii) 1 defective.
(iii) 2 defectives.
| Household | Monthly income Sh."000" | Monthly expenditure Sh."000" |
| A | 150 | 120 |
| B | 130 | 135 |
| C | 200 | 195 |
| D | 245 | 190 |
| E | 140 | 120 |
| F | 100 | 85 |
| G | 80 | 65 |
| H | 145 | 130 |
| I | 130 | 60 |
| J | 90 | 75 |
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