📚 Topic Summary
Data collection methods are essential for understanding the world around us. In computer science, we use these methods to gather information that helps us solve problems, make predictions, and improve systems. Whether it's through surveys, experiments, or observations, each method has its strengths and weaknesses. This worksheet will help you explore these methods and understand how they're used in various contexts. It is a crucial concept for students in High School AP CSP!
🧠 Part A: Vocabulary
Match the terms with their definitions:
- Terms:
- A. Experiment
- B. Survey
- C. Observation
- D. Data Bias
- E. Sample Size
- Definitions:
- i. A systematic investigation to test a hypothesis.
- ii. The number of individuals or items in a sample.
- iii. A method of gathering information by asking questions.
- iv. A prejudice or disproportionate weighting in favor of or against one thing, person, or group compared with another.
- v. Watching and recording behaviors or events in a natural setting.
✍️ Part B: Fill in the Blanks
Complete the following paragraph using the words: qualitative, quantitative, ethics, privacy, metadata.
When collecting data, it's important to consider _____. We must respect individuals' _____. Data can be _____ (descriptive) or _____ (numerical). _____ gives context to the data. Finally, it's important to consider data collection _____.
🧐 Part C: Critical Thinking
Describe a real-world scenario where using a specific data collection method (e.g., survey, experiment, observation) might lead to biased results. What steps could be taken to mitigate this bias? Give an example.