DSST330: Statistics • Spring 2024 • Taylor Arnold
[⇐]
[syllabus]
[refs]
[materials]
[sheet]
Handout
Worksheet
Solutions
Notebook
2024-01-15
Mon.
No Class: MLK Day
Wed.
[00. Prob. Review]
[Introduction]
[data]
2024-01-22
Mon.
[01. Sample Mean]
[ws-01]
[sl-01]
Wed.
[02. Sample Variance]
[ws-02]
[sl-02]
2024-01-29
Mon.
[03. Confidence Intervals]
[ws-03]
[sl-03]
Wed.
[04. Asymptotic T Statistic]
[nb-04]
2024-02-05
Mon.
[05. Two Samples]
[ws-05]
[sl-05]
[nb-05]
Wed.
[06. Hypothesis Tests]
[ws-06]
[sl-06]
[nb-06]
2024-02-12
Mon.
[07. Review]
[ws-07]
[sl-07]
[nb-07]
Wed.
[08. ANOVA]
[ws-08]
[sl-08]
[nb-08]
2024-02-19
Mon.
[Exam 01: Study Guide]
[Exam 01: Takehome]
Wed.
[09. Maximum Likelihood]
[ws-09]
[sl-09]
2024-02-26
Mon.
[10. Likelihood-Ratio Test]
[ws-10]
[sl-10]
[nb-10]
Wed.
[11. Multinomial Distribution]
[nb-11]
2024-03-04
Mon.
[12. Contingency Tables]
[nb-12]
Wed.
[13. Chi-Squared Test]
[nb-13]
2024-03-11
Mon.
No Class: Spring Break
Wed.
No Class: Spring Break
2024-03-18
Mon.
[14. Simple Linear Regression]
[ws-14]
[sl-14]
[nb-14]
Wed.
[15. Linear Regression]
[ws-15]
[sl-15]
[nb-15]
2024-03-25
Mon.
[Exam 02: Study Guide]
[Exam 02: Takehome]
Wed.
[16. Project Assignments]
[nb-16]
2024-04-01
Mon.
[17. Bayesian Statistics I]
[ws-17]
[sl-17]
Wed.
[18. Bayesian Statistics II]
[ws-18]
[sl-18]
[nb-18]
2024-04-08
Mon.
[19. Cramér–Rao Bound]
[ws-19]
[sl-19]
Wed.
[20. Jeffreys Prior]
[ws-20]
[sl-20]
2024-04-15
Mon.
[Exam 03: Takehome]
[Project Workshop]
Wed.
[Final Project: Presentations]
2024-04-22
Mon.
[Final Project: Presentations]
Wed.
[Final Project: Presentations]
last updated 2024-04-24T14:20:32-0400