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Punjab (PTB) · Half book test · Free

2nd Year Computer Second half Book Paper

50 marks · 1 hour 30 minutes · 35 questions. Covers: 4 chapters (CHAP 6: DATA AND ANALYSIS to CHAP 9: CYBERSECURITY AND SAFE DIGITAL COLLABORATION).

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2nd Year Computer Second half Book Paper

2nd Year · Computer · Punjab (PTB)

Name: ____________Roll No: ________Class/Section: ________Date: ________Total marks: 50Time: 1 hour 30 minutes

Q1. Multiple choice questions (Attempt all · 15 × 1 = 15)

  1. What is the basic formula used to calculate the Chi-Square (x2) test statistic?

  2. How can AI bridge gaps in the healthcare sector?

    1. Store physical files

    2. Analyze medical data faster

    3. Route internet cables

    4. Generate financial taxes

  3. How does antivirus software protect a system?

    1. By overloading external servers

    2. By creating fake websites to trick hackers

    3. By scanning files and removing viruses or malware

    4. By requiring physical fingerprint scans

  4. On what are predictions in predictive modeling based?

    1. Guaranteed certainty

    2. Probability

    3. Fixed rules without variation

    4. Raw feature counts

  5. If a new medical drug test yields a p-value of 0.01 against a significance level of 0.05, it implies that:

    1. The drug is completely ineffective

    2. The improvement is unlikely to be due to chance alone

    3. The null hypothesis must be retained

    4. The test statistic was calculated incorrectly

  6. Transparency in agriculture supply chains can be improved using:

    1. Blockchain and cloud computing

    2. HTML and CSS

    3. GPS and Wi-Fi

    4. Python and Excel

  7. Why is documenting a security problem and its solution important?

    1. It automatically encrypts all saved files

    2. It unlocks ransomware-encrypted data without payment

    3. It helps prevent the problem from happening again

    4. It turns public networks into private connections

  8. Predicting a student's final grade using past marks, attendance, and study hours is an example of what?

    1. Causation

    2. Prediction

    3. Hyperparameter tuning

    4. Model validation

  9. What can occur if test results are misinterpreted?

    1. Incorrect conclusions

    2. Higher prediction accuracy

    3. Automatic rejection of the null hypothesis

    4. Faster data processing speed

  10. What negative impact can data misuse or invasion of privacy cause in communities?

    1. Faster network speeds

    2. Reduced storage needs

    3. Distrust and harm

    4. Lower device costs

  11. The main danger of downloading unknown software is:

    1. Faster browsing

    2. Getting rewards

    3. Malware infection

    4. Extra storage

  12. What is defined as the number of correctly predicted negative instances?

    1. True Positives (TP)

    2. True Negatives (TN)

    3. False Positives (FP)

    4. False Negatives (FN)

  13. The critical region is the:

    1. Safe area

    2. Rejection area

    3. Data range

    4. Sample space

  14. What technologies do farmers use alongside AI to monitor crops, increase yield, and reduce waste?

    1. Solar panels and satellite dishes

    2. Drones and sensors

    3. Robotic tractors and soil diggers

    4. Automatic sprayers and harvesters

  15. What can copying online content without permission violate?

    1. Copyright laws

    2. Digital ethics

    3. Hardware guarantees

    4. Both a and b

Q2. Short questions (Attempt any 10 of 15 · 10 × 2 = 20)

  1. What broader environmental goal is supported by technology integration in agriculture?

  2. What is the impact of data-driven decisions on business operations and performance?

  3. In the formula , what is meant by x?

  4. What does designing for equity and accessibility mean?

  5. How do businesses use AI to improve decision-making and customer service?

  6. How do navigation apps and smart home devices assist users using machine learning?

  7. How are degrees of freedom (df) calculated for a single-sample t-test?

  8. Define data protection.

  9. How does AI technology help improve healthcare delivery?

  10. What is unlabeled data?

  11. Define Survey Bias with an example.

  12. How e-waste is created?

  13. How can AI-driven decisions ensure fairness and acceptance across different regions?

  14. Why is Excel recommended for beginners in data analysis?

  15. What are the key principles of responsible communication of findings?

Q3. Long questions (Attempt any 3 of 5 · 3 × 5 = 15)

  1. Explain how technology helps entrepreneurs solve real-world problems. Also describe the concept of freelancing.

  2. Explain the concept of test statistics in detail. Include the mathematical formulas, variable definitions, and step-by-step calculations for both the T-value test and the Chi-Square test using representative examples.

  3. Discuss predictive modeling and causality, and explain the importance of model interpretation in real-world use cases.

  4. Write a detailed note on benefits and challenges of AI in society.

  5. Explain the key strategies for effective collaboration in a team.