# Rough outline of lessons & timing

30 Sessions plus final

Part 1:

1. intro to descriptive – max, min, range, mean, median, mode
2. frequency, relative frequency, bins, histograms
3. variance & standard deviation (and maybe skewness)
4. approximation from bin or rel freq info
5. intro to probability – dice, cards, coin – game: guess which is H/T vs even/odd
6. simple prob & counting
7. axioms & venn diagrams
8. continuous in axioms
9. conditional & Bayes
10. independence & random variables
11. random variables
12. moments
13. Chebyshev
14. basic models – discrete
15. basic models – continuous (w sheets)

two days: review & midterm

Part 2:

1. law of large numbers
2. estimating parameters
3. average of normal
4. intro to CLT
5. binomial by normal
6. confidence
7. confidence for normal & average of normal
8. control size of sample
9. estimating mean of normal from sample
10. estimating proportion from sample
11. confidence for difference of normals
12. confidence for difference of proportions

two days: review & final 