π Statistics (Descriptive & Inferential)
Descriptive Statistics
- Mean, Median, Mode
- Range, Variance, Standard Deviation
- Frequency Distributions
- Histograms & Boxplots
Inferential Statistics
- Sampling Methods
- Confidence Intervals
- Hypothesis Testing (z-test, t-test, ANOVA, etc.)
- p-values & Significance
- Correlation vs Causation
- Regression Analysis
π² Probability
- Probability Rules (Addition & Multiplication)
- Conditional Probability & Bayesβ Theorem
- Discrete vs Continuous Random Variables
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Common Distributions:
- Binomial
- Normal
- Poisson
- Exponential
- Expected Value & Variance
π§ Applications
- Data Analysis
- Decision Making
- Risk Assessment
- Machine Learning Foundations
π What would you like?
You could tell me:
- A specific topic or concept you want to learn
- Whether you're a beginner or advanced
- If you want examples, visuals, formulas, or practice problems
Let me know how you want to dive in!