| Ullas | Vasu | Waman | Xavier | Yusuf | |
|---|---|---|---|---|---|
| Mean rating | 2.2 | 3.8 | 3.4 | 3.6 | 2.6 |
| Median rating | 2 | 4 | 4 | 4 | 3 |
| Model rating | 2 | 4 | 5 | 5 | 1 and 4 |
| Range of rating | 3 | 3 | 4 | 4 | 3 |
The problem requires checking if all individual ratings can be uniquely determined using the provided mean ratings of restaurants and workers, along with a few specific ratings.
Step 1: Total ratings per restaurant
Each restaurant rated 5 workers, so number of ratings per restaurant = 5.
Step 2: Total sum of ratings for each restaurant
Step 3: Use known ratings
Step 4: Worker ratings
| Worker | Known Ratings | Mean |
|---|---|---|
| Ullas | 1 (R1), ?, ?, ?, ? | 2.2 |
| Vasu | ?, ?, ?, ?, 5 (R5) | 3.8 |
| Waman | 5 (R1), 1 (R2), 5 (R3), ?, ? | 3.4 |
| Xavier | ?, 5 (R2), 5 (R3), ?, ? | 3.6 |
| Yusuf | ?, 1 (R2), 1 (R3), ?, ? | 2.6 |
Step 5: Can all ratings be uniquely determined?
Yes, because:
Final Answer: \( \boxed{0} \) ratings cannot be determined.
| P1 | P2 | P3 | P4 | P5 | Fixed Payment | Bonus | |
|---|---|---|---|---|---|---|---|
| Arun | 4 | Rs. 1000 | Rs. 250 × Final Rating | ||||
| Barun | 3 | Rs. 1200 | Rs. 200 × Final Rating | ||||
| Chandan | 2 | Rs. 1400 | Rs. 100 × Final Rating | ||||
| Damodaran | 3 | Rs. 1300 | Rs. 150 × Final Rating | ||||
| Eman | 2 | Rs. 1100 | Rs. 200 × Final Rating |
| English | Hindi | Mathematics | Science | Social Science | |
|---|---|---|---|---|---|
| Alva | 80 | 75 | 70 | 75 | 60 |
| Bithi | 90 | 80 | 55 | 85 | 85 |
| Carl | 75 | 80 | 90 | 100 | 90 |
| Deep | 70 | 90 | 100 | 90 | 80 |
| Esha | 80 | 85 | 95 | 60 | 55 |
| Foni | 83 | 72 | 78 | 88 | 83 |
| P1 | P2 | P3 | P4 | P5 | Fixed Payment | Bonus | |
|---|---|---|---|---|---|---|---|
| Arun | 4 | Rs. 1000 | Rs. 250 × Final Rating | ||||
| Barun | 3 | Rs. 1200 | Rs. 200 × Final Rating | ||||
| Chandan | 2 | Rs. 1400 | Rs. 100 × Final Rating | ||||
| Damodaran | 3 | Rs. 1300 | Rs. 150 × Final Rating | ||||
| Eman | 2 | Rs. 1100 | Rs. 200 × Final Rating |
| English | Hindi | Mathematics | Science | Social Science | |
|---|---|---|---|---|---|
| Alva | 80 | 75 | 70 | 75 | 60 |
| Bithi | 90 | 80 | 55 | 85 | 85 |
| Carl | 75 | 80 | 90 | 100 | 90 |
| Deep | 70 | 90 | 100 | 90 | 80 |
| Esha | 80 | 85 | 95 | 60 | 55 |
| Foni | 83 | 72 | 78 | 88 | 83 |
| Sales Amounts (Crore Rupees) | ||||||||
|---|---|---|---|---|---|---|---|---|
| Delhi | Mumbai | Bengaluru | Kolkata | |||||
| 2018 | 2019 | 2018 | 2019 | 2018 | 2019 | 2018 | 2019 | |
| Apparels | 54 | |||||||
| Electronics | 78 | 98 | 82 | 102 | 90 | 70 | 80 | 100 |
| Home Decor | 100 | 72 | 80 | 54 | ||||
| Constituency | ||||
|---|---|---|---|---|
| A | B | C | D | |
| No. of candidates contesting | 10 | 12 | 5 | 8 |
| Total No. of valid votes polled | 5,00,000 | 3,25,000 | 6,00,030 | |
| No. of votes polled by the winning candidate | 2,75,000 | 48,750 | ||
| No. of votes polled by the first runner up | 95,000 | 37,500 | ||
| No. of votes polled by the second runner up | 30,000 | |||
| % of valid votes polled by the third runner up | 10% | |||