Given:
From the problem statement:
Possible test scores: 40, 50, 60 (x2), 70, 80
Scenario 1: Amala test = 40, Koli = 60, Shyamal = 70
Aggregates:
\[ 40(1 - x) + 80x = 60(1 - x) + 40x + 4 \\ \Rightarrow 60x = 24 \Rightarrow x = 0.4 \] Amala's Aggregate: \( 40(0.6) + 80(0.4) = 24 + 32 = 56 \)
Shyamal's Aggregate (minimum): \( 70(0.6) + 40(0.4) = 42 + 16 = 58 \)
Contradiction: Shyamal's aggregate (58)>Amala's aggregate (56) → Scenario 1 is invalid.
Scenario 2: Amala test = 60, Koli = 80, Shyamal = 70
\[ 60(1 - x) + 80x = 80(1 - x) + 40x + 4 \\ \Rightarrow 60 + 20x = 84 - 40x \Rightarrow 60x = 24 \Rightarrow x = 0.4 \]
Amala's aggregate: \( 60(0.6) + 80(0.4) = 36 + 32 = 68 \)
Shyamal's aggregate: 66. Project score calculation: \[ \frac{66 - 70 \times 0.6}{0.4} = \frac{66 - 42}{0.4} = \frac{24}{0.4} = 60 \]
Further deductions:
Final Table:
| Student | Test Score (T) | Project Score (P) | Aggregate (0.6×T + 0.4×P) | Project Pair |
|---|---|---|---|---|
| Amala | 60 | 80 | 68 | Amala, Mathew |
| Koli | 80 | 40 | 64 | Koli, Biman |
| Rini | 60 | 60 | 60 | Rini, Shyamal |
| Biman | 50 | 40 | 46 | Biman, Koli |
| Mathew | 40 | 80 | 56 | Mathew, Amala |
| Shyamal | 70 | 60 | 66 | Shyamal, Rini |
Answer: Rini's project score is 60.
To determine the weight of the test component, follow these steps based on the provided information:
1. Let \( w_p \) represent the project weight and \( w_t \) represent the test weight. The sum of these weights is 1:
\[ w_p + w_t = 1 \]
2. Amala's project score is double Koli's. Koli's test score is 20 points higher than Amala's. Amala has the highest aggregate score. This indicates the test component carries significant weight.
3. Shyamal's test score is 2 points higher than Koli's. Since Shyamal ranks second in the test, Amala must be the highest scorer in the test. Amala's highest aggregate score, despite potentially lower test scores than others, suggests the test component has considerable weight.
4. Amala's aggregate score is 2 points higher than Shyamal's. This implies the test score is heavily weighted to maintain Amala's top aggregate position, even if her test score is not the highest.
5. Given test scores range from 40 to 80, with an average of 60, we infer the following test scores:
\[ \text{Amala's test score} = 80,\quad \text{Koli's} = 60,\quad \text{Shyamal's} = 62 \]
6. Experiment with different weight combinations to satisfy the given conditions. The weights that best align with all logical constraints are:
\[ w_t = 0.60 \quad \text{and} \quad w_p = 0.40 \]
The weight of the test component is therefore \( \boxed{0.60} \).
To determine the maximum aggregate score, the following information is analyzed systematically:
Assuming Amala's project score is the maximum, 80, then Koli's project score is 40 (as Amala's project score = 2 × Koli's project score).
Let Koli's test score be represented by \( x \). Consequently, Amala's test score is \( x - 20 \).
Shyamal's test score is \( x + 2 \).
The following is established:
Setting \( x = 60 \) yields: Koli's test score = 60, Amala's test score = 40, Shyamal's test score = 62. Now, calculating their aggregates with equal weighting:
Aggregate = \( 0.5 \times \text{Project Score} + 0.5 \times \text{Test Score} \)
Through the examination of valid score combinations within the given constraints, the maximum possible aggregate score is determined to be 68. Therefore, the correct answer is 68.
Given:
A course includes three female students (Amala, Koli, Rini) and three male students (Biman, Mathew, Shyamal).
The total score is a weighted average of project and test scores, with project weight $x$ and test weight $(1 - x)$, where $0<x<1$.
Each male-female pair completed one project, earning scores of 40, 60, or 80. Each student participated in one unique pair, receiving the same project score as their partner.
Test scores are: 40, 50, 60 (twice), 70, and 80. The unique scores are 40, 50, 60, 70, and 80.
Amala's project score is double Koli's. Koli's test score is 20 points higher than Amala's.
Derived project scores:
Relationship between Koli's and Amala's test scores:
Possible test scores for Amala and Koli:
| Students | Test Scores | Project Scores |
|---|---|---|
| Amala | 40 / 50 / 60 | 80 |
| Koli | 60 / 70 / 80 | 40 |
| Rini | ? | 60 |
Additional information:
This implies the following aggregate score relationships:
Case 1: Amala's test score = 40
Case 2: Amala's test score = 60, Koli's test score = 80
Shyamal's project score is 60. Since Rini's project score is also 60, Shyamal and Rini form a project pair.
Remaining project pairs:
Further information:
Determining Rini's and Mathew's test scores:
| Student | Test Score (T) | Project Score (P) | Aggregate ($0.6T + 0.4P$) | Project Pair |
|---|---|---|---|---|
| Amala | 60 | 80 | 68 | Amala & Mathew |
| Koli | 80 | 40 | 64 | Koli & Biman |
| Rini | 60 | 60 | 60 | Rini & Shyamal |
| Biman | 50 | 40 | 46 | Biman & Koli |
| Mathew | 40 | 80 | 56 | Mathew & Amala |
| Shyamal | 70 | 60 | 66 | Shyamal & Rini |
Conclusion:
Mathew's test score is 40.
Final Answer: 40
To identify students on the same project team, analyze the provided data concerning scores and project team composition, where each team consists of one female and one male student.
Analysis Steps:
Based on the constraints and deductions:
| Female | Male | Project |
| Amala | Mathew | 80 |
| Koli | Shyamal | 40 |
| Rini | Biman | 60 |
Neither the pair (i) Amala & Biman nor (ii) Koli & Mathew were in the same groups, according to the provided information.
Conclusion: Neither pair (i) nor (ii) were on the same team.