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Congratulations! You have completed the Fundamentals module.
You now know how to speak the language of data. You can identify exactly what type of variables you are working with, classify them using the NOIR framework, and recognize the dangerous biases that can ruin your data collection. Before we move on to actual math and analysis, take this quick self-check to make sure these core concepts are locked in.
Click on your answers below to see how you did!
1. A pharmaceutical company tests a new drug on 500 patients and uses the results to predict how it will affect the entire global population. Which branch of statistics is this?
2. You are measuring the exact time it takes for a sprinter to run 100 meters (e.g., 10.42 seconds). What type of data is this?
3. In a study to see if listening to classical music while studying improves test scores, what is the Independent Variable?
4. You are looking at a dataset of temperatures measured in Celcius. You know that 0°C does not mean an absolute absence of heat. Which level of measurement is this?
5. A news station runs a X.com poll asking, “Do you think social media is harmful to society?” 90% of respondents say yes. Why should you be highly suspicious of this data?
🎓 Module Complete
You have fully completed Path 1. You are ready to start analysing real data.