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Congratulations! You have completed the Descriptive Statistics module.
You now know how to look at a chaotic dataset and summarize its center, measure its spread, slice it into readable chunks, and evaluate its shape. Before we move on to predicting the future with Probability, take this quick self-check to make sure the core concepts of Path 2 are locked in.
1. You are analysing the salaries of 50 baristas and 1 billionaire CEO. Which measure of central tendency will give you the most honest picture of the “typical” salary in that room?
2. Why do we square the differences when calculating Variance?
3. If you score in the 85th percentile on a standardised math test, what does that actually mean?
4. Why is the Interquartile Range (IQR) a better measure of spread than the standard Range?
5. You are analysing a financial dataset and calculate a high Kurtosis (Leptokurtic). What does this tell you about your data?
🎓 Module Complete
You have fully completed Path 2. You are ready to start predicting outcomes with Probability.