Jharkhand TET – “Mock Tests”
Subject: Foundation & Exam Strategy
Audience: Candidates preparing for the Jharkhand Teacher Eligibility Test (JH‑TET)
Level: IIT‑JEE / Competitive exam oriented
Why Mock Tests?
- The only realistic way to gauge your exam‑day performance.
- Helps you internalise the time‑pressure and question‑pattern.
- Gives a data‑driven insight into strengths and weaknesses.
- Improves confidence and exam‑day temperament.
1. Quick Recap – Jharkhand TET Paper Structure
| Paper | Type | No. of Questions | Marks per Question | Negative Marks | Time (min) | Total Marks |
|---|---|---|---|---|---|---|
| 1 | Objective (Multiple Choice) | 40 | +1 | –0.25 | 50 | 40 |
| 2 | Objective (Multiple‑Correct) | 30 | +2 | –0.5 | 50 | 60 |
| 3 | Objective (Fill‑In) | 30 | +3 | –0.75 | 50 | 90 |
| 4 | Subjective (Essay/Comprehension) | 30 | +4 | –1.0 | 50 | 120 |
| Total | – | 130 | – | – | 200 | 310 |
Important: All papers are time‑restricted to 50 min each.
Marking is negative for all papers – never leave a question blank.
2. What is a “Mock Test”?
| Feature | Description |
|---|---|
| Simulated | Replicates the exact exam environment (paper, time, marking). |
| Full‑Length | 4 papers, 200 min total. |
| Objective‑Only | Most mock test providers supply only Papers 1–3 (objective). Paper 4 is usually omitted because it is subjective and hard to standardize. |
| Immediate Feedback | Correct answers + explanation (classical vs. advanced). |
| Analytic Reports | Accuracy, time‑per‑question, wrong‑answer patterns, trend over time. |
3. How to Design a Mock Test Schedule
| Phase | Frequency | Objective |
|---|---|---|
| Baseline (Weeks 1–2) | 1 full‑length mock per week | Establish initial score & time‑per‑question |
| Intensification (Weeks 3–6) | 2–3 per week | Sharpen speed and accuracy |
| Polish (Weeks 7–10) | 1–2 per week | Fine‑tune weaknesses and time‑management |
Rule of Thumb:
- Paper 1 needs the fastest pace (1 min q).
- Paper 2 is fast but more reasoning.
- Paper 3 requires deep conceptual understanding.
- Paper 4 (if practiced) needs structured writing.
4. Data‑Driven Analysis – Key Formulae
4.1 Expected Marks per Paper
If a candidate answers (C) questions correctly out of (N) total:
[ \text{Score} = C \times M_{\text{pos}} - (N - C) \times M_{\text{neg}} ]
Where
- (M_{\text{pos}}) = positive marks per question
- (M_{\text{neg}}) = negative marks per wrong answer.
Example – Paper 2
(N=30,\ M_{\text{pos}}=+2,\ M_{\text{neg}}=0.5)
[ \text{Score} = 2C - 0.5(30-C) = 2C - 15 + 0.5C = 2.5C - 15 ]
Thus, to score 45 marks: [ 2.5C - 15 = 45 ;\Rightarrow; C = 24 ]