This comprehensive quiz covers all 12 lessons of Statistical Analysis. It includes multiple choice questions drawn from the entire module pool, plus short answer questions that test your ability to apply statistical reasoning in unfamiliar contexts. Aim for 80% or higher to demonstrate mastery. Good luck!
15 questions drawn from all 12 lessons - feedback shown immediately
Short Answer
1. A city council is considering banning cars from the CBD to reduce pollution. They present data showing a correlation between car density and air quality index. (a) Explain why correlation alone is insufficient to justify the ban. (b) Identify at least three lurking variables that could explain the correlation. (c) Design a study that would provide stronger evidence for causation. (d) Discuss the difference between statistical significance and practical significance in this policy context. 4 MARKS
2. Two schools report their HSC results. School Alpha: mean=80, median=82, SD=8, n=150. School Beta: mean=78, median=75, SD=15, n=150. (a) Compare the distributions comprehensively. (b) A parent argues School Alpha is better because its mean is higher. A teacher argues School Beta is better because it has more high achievers (wider spread). Evaluate both arguments using statistical reasoning. (c) What additional information would help you make a fair comparison? (d) If you were choosing a school for a risk-averse student and a risk-tolerant student, which would you recommend and why? 4 MARKS
Tick when you have finished the quiz and reviewed all answers.