Lecture Notes
- Lecture 1 – Introduction to Statistics
- Lecture 2 – Design of Experiments
- Lecture 3 – Histograms
- Lecture 4 – Variables
- Lecture 5 – Numerical Summaries of Data
- Lecture 6 – The Normal Curve
- Lecture 7 – Percentiles and Errors
- Lecture 8 – Introduction to Probability
- Lecture 9 – Independence and Counting
- Lecture 10 – Repeated Independent Trials
- Lecture 11 – The Law of Averages
- Lecture 12 – Expected Values and Standard Errors
- Lecture 13 – The Normal Distribution
- Lecture 14 – Samples and Populations
- Lecture 15 – Chance in Sampling
- Lecture 16 – Confidence Intervals
- Lecture 17 – Confidence Intervals for Means
- Lecture 18 – Testing Hypotheses
- Lecture 19 – The t-test
- Lecture 20 – Two-sample Tests
- Lecture 21 – Goodness of Fit
- Lecture 22 – Chi-square Tests: Independence
- Lecture 23 – Two-variable Samples
- Lecture 24 – Correlation
- Lecture 25 – Correlations: Further Considerations
- Lecture 26 – Linear Regression
- Lecture 27 – Least Squares
- Lecture 28 – Final Thoughts