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Test your understanding with targeted questions related to the topic.
Question 1
Easy
Define what Criterion B emphasizes in the IA.
💡 Hint: Think about planning and descriptions in scientific research.
Question 2
Easy
Why is it important to include uncertainties in your raw data table?
💡 Hint: Consider how precise your measurements can be.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What does Criterion B focus on in the IA?
💡 Hint: Think about the planning phase of experiments.
Question 2
Should uncertainties be included in the data table?
💡 Hint: You should always indicate how reliable your measurements are.
Solve and get performance evaluation
Push your limits with challenges.
Question 1
Design an experiment to determine the concentration of an unknown solution. Describe your methods, including how to record uncertainties in your data table.
💡 Hint: Think about precision and clarity in your data recording.
Question 2
Analyze a given set of data with apparent systematic errors. How would you identify these errors and consider their impact on your experiment's results?
💡 Hint: Systematic errors will usually show up consistently across trials.
Challenge and get performance evaluation