2nd Year Computer Chapter 4 Test4. Data and Analysis

Q1. Multiple choice questions (Attempt all · 10 × 1 = 10)

1. Confidence interval shows:
   1. Randomness of results
   2. Range where true value likely lies
   3. Range of hypothesis
   4. Type of data
2. How does storytelling enhance the communication of data insights?
   1. By focusing solely on statistical analysis
   2. By using visuals and narrative to make data relatable and engaging
   3. By ignoring complex data patterns
   4. . By minimizing the use of charts and graphs
3. Type II Error occurs when:
   1. False null hypothesis is rejected
   2. False null hypothesis is not rejected
   3. Random data used
   4. P-value too small
4. Power of a test means:
   1. Energy use of computer
   2. Its ability to detect an effect when it exists
   3. Sample size
   4. Significance level
5. If P < 0.05, then:
   1. We reject the null hypothesis
   2. We accept the null hypothesis
   3. We ignore results
   4. None of these
6. Why is it important to use visuals effectively in hypotheses testing?
   1. To replace the need for statistical analysis
   2. To present data in a more understandable manner and enhance communication
   3. To make the data collection process easier
   4. To avoid need of a hypothesis formulation
7. Machine learning models improve their performance by:
   1. Adding more rules
   2. Learning from data
   3. Ignoring feedback
   4. Reducing data
8. Overfitting means:
   1. Model fails to learn
   2. Model ignores data
   3. Model learns noise too well
   4. Model underperforms on training
9. A model shows 98% accuracy, but precision and recall are both below 60%. What is the most likely issue?
   1. The model is underfitting
   2. The data is imbalanced
   3. The model is overfitting
   4. Labels are missing in training data
10. Which step is part of simple hypothesis testing?
    1. Guessing data
    2. Skipping data analysis
    3. Ignoring results
    4. Formulating null and alternative hypotheses