🟪 1-Minute Summary
Descriptive statistics summarize and describe the features of a dataset (mean, median, charts), while inferential statistics make predictions or inferences about a population based on a sample (hypothesis testing, confidence intervals). Descriptive = “What happened?” | Inferential = “What does this mean for the bigger picture?”
🟦 Core Notes (Must-Know)
What are Descriptive Statistics?
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What are Inferential Statistics?
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Key Differences
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🟨 Interview Triggers (What Interviewers Actually Test)
Common Interview Questions
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“What’s the difference between descriptive and inferential statistics?”
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“When would you use each type?”
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🟥 Common Mistakes (Traps to Avoid)
Mistake 1: Confusing the two
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🟩 Mini Example (Quick Application)
Scenario
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Solution
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🔗 Related Topics
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