Evaluating Data Reliability
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Evaluating Data Reliability
📚 Part 1: Multiple Choice & Quick Checks
WALT: Evaluate the reliability of data sources and understand the impact of sample size.
Success criteria: I can identify unreliable methods, explain how sample size affects accuracy, and suggest improvements to data collection.
✏️ Part 2: Short Answers & Practical Thinking
Suggested Answer: The sample size is too small and may not reflect the diverse preferences of the entire Year 7 population.
Suggested Answers: 1) Increase the sample size to include more students from different classes, which would provide a more accurate representation of preferences. 2) Randomly select students to participate, ensuring that all voices are heard and reducing bias.
Suggested Answer: Volunteer samples can lead to bias as they may attract only those who are interested in the topic. For example, students who are passionate about sports may volunteer for a survey on sports preferences, skewing the results.
Suggested Answer: A larger sample size increases confidence in the result as it reduces the margin of error and provides a more reliable estimate of the true preference.
Suggested Answer: To be a critical consumer of data, I would check who collected the data to ensure credibility and examine the sample size to determine if it is large enough to be representative. Additionally, I would consider the wording of questions to identify any potential bias.
Suggested Answer: "What is your favorite after-school activity? (Options: sports, reading, art, music, other - please specify)"
✅ Answers Section
Refer to the answers provided after each question for detailed explanations and suggested responses.
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