← IB Class AI
Statistics and Probability
Chapter Overview
Descriptive and inferential statistics. Bivariate data, correlation, linear regression, chi-squared tests. Probability theory, Venn diagrams, tree diagrams, Bayes theorem. Binomial, normal, and Poisson distributions. Hypothesis testing and confidence intervals.
Topics Covered
- Descriptive Statistics
- Bivariate Data
- Correlation and Regression
- Chi-Squared Test
- Probability
- Binomial Distribution
- Normal Distribution
- Poisson (HL)
- Hypothesis Testing
- Confidence Intervals
Key Formulas
r = correlation coefficient
y = mx + b (regression)
z = (x - mu)/sigma
Real-World Applications
Applications: Business analytics, social sciences, epidemiology, market research.
Study Tips
Tip: Use technology for statistical calculations
Tip: Understand when to use each test
Tip: Focus on interpretation of results