**Monday**| 2018.8.20**No class!**

**Wednesday**| 2018.8.22- First day of class! Syllabus discussion and course overview.
**Reading:**WMS: 1.1 - 1.6, 7.1 - 7.6, 8.1**Slides:**Introduction to Statistical Inference

**Friday**| 2018.8.25- Estimation: Bias, Variance, Mean Squared Error
**Reading:**WMS: 3.3, 4.3, 5.4 - 5.8, 8.1 - 8.3**Slides:**Estimation I

**Monday**| 2018.8.27- First day of lab. Bring a laptop if you have one.
**Lab:**Lab 01: R, RStudio, and RMarkdown**Reading:**ASWR: Chapters 1 -**6**

**Wednesday**| 2018.8.29- Estimation: Consistency
**Reading:**WMS: 9.3**Slides:**Estimation II: Consistency

**Friday**| 2018.8.31- Estimation: Sufficiency
**Reading:**WMS: 9.4**Slides:**Estimation II: Sufficiency**Deadline:**Homework 01 Due**Deadline:**Lab 01 Due

**Monday**| 2018.9.3- No lab. Labor day.

**Wednesday**| 2018.9.5- Estimation: Method of Moments, Maximum Likelihood
**Reading:**WMS: 9.6 - 9.7**Slides:**Estimation III: Method of Moments and Maximum Likelihood

**Friday**| 2018.9.7- Estimation: Fitting a Probability Model
**Data:**Sleep, Rivers**Deadline:**Homework 02 Due

**Monday**| 2018.9.10- Lab 02: Fitting a Probability Model
**Lab:**Lab 02: Fitting a Probability Model [`R`

Markdown ]**Reading:**Fitting a Probability Model [`R`

Markdown ]

**Wednesday**| 2018.9.12- Interval Estimation: Confidence Intervals for Means
**Reading:**WMS: 7.2, 8.5 - 8.9**Slides:**Confidence Intervals

**Friday**| 2018.9.14- Interval Estimation: Confidence Intervals for Proportions and Variances
**Reading:**WMS: 7.2, 8.5 - 8.9**Slides:**Confidence Intervals**Deadline:**Homework 03 Due**Deadline:**Lab 02 Due

**Monday**| 2018.9.17- Lab 03: Confidence Interval Coverage
**Lab:**Lab 03: Confidence Interval Coverage [`R`

Markdown ]

**Wednesday**| 2018.9.19- Catch-up and review for exam.

**Friday**| 2018.9.21- Exam One!
**Deadline:**Exam I**Deadline:**Lab 03 Due

**Monday**| 2018.9.24- Project work time. Meet in
*161 Pomerene Hall*.

- Project work time. Meet in
**Wednesday**| 2018.9.26- Return exams. Finish confidence intervals. Introduce bootstrap.
**Reading:**See Lab 04.

**Friday**| 2018.9.28- Introduction to hypothesis testing.
**Reading:**WMS: 10.1 - 10.9**Slides:**Hypothesis Testing**Deadline:**Homework 04 Due

**Monday**| 2018.10.1- Lab 04: Simulation and Bootstrap CIs
**Lab:**Lab 04: Simulation and Bootstrap CIs [`R`

Markdown ]**Reading:**Simulation and Bootstrap CIs [`R`

Markdown ]

**Wednesday**| 2018.10.3- Continue hypothesis testing for large samples. Introduce methods for small samples.
**Reading:**WMS: 10.1 - 10.9**Slides:**Hypothesis Testing

**Friday**| 2018.10.5- Lab and project work day. Meet in
*250 Pomerene Hall*. (May move to 161, but try 250 first.) **Deadline:**Lab 04 / Homework 05 Due

- Lab and project work day. Meet in

**Monday**| 2018.10.8- Project work time. Meet in
*161 Pomerene Hall*.

- Project work time. Meet in
**Wednesday**| 2018.10.10- Presentation day. (Email presentation by end of day Tuesday!)
**Deadline:**Project Presentation

**Friday**| 2018.10.12**Deadline:**Project Reports**Deadline:**Peer Review

**Monday**| 2018.10.15- Lab 05: Power
**Lab:**Lab 05: Power [`R`

Markdown ]

**Wednesday**| 2018.10.17- Nonparametric testing.
**Reading:**WMS: 15.1 - 15.3**Slides:**Nonparametric Testing

**Friday**| 2018.10.19- Nonparametric and simulation-based testing.
**Reading:**WMS: 15.1 - 15.3**Slides:**Nonparametric Testing**Deadline:**Homework 06 Due**Deadline:**Lab 05 Due

**Monday**| 2018.10.22- Lab 06: Parametric vs Nonparametric
**Lab:**Lab 06: Parametric vs Nonparametric [`R`

Markdown ]

**Wednesday**| 2018.10.24- Introduction to Linear Statistical Models: Simple Linear Regression
**Reading:**WMS: 11.1 - 11.4, ASWR: Chapter 7, ASWR: Chapter 8**Slides:**Simple Linear Regression

**Friday**| 2018.11.26- More on Linear Statistical Models.
**Reading:**WMS: 11.1 - 11.4, ASWR: Chapter 7, ASWR: Chapter 8**Data:**Exams and Sleep**Deadline:**Homework 07 Due**Deadline:**Lab 06 Due

**Monday**| 2018.10.29- Lab 07: Regression Estimates Sampling Distributions
**Lab:**Lab 07: Regession Estimates Sampling Distributions [`R`

Markdown ]

**Wednesday**| 2018.10.31- Review day.

**Friday**| 2018.11.02- Exam Day!
**Deadline:**Exam II**Deadline:**Lab 07 Due

**Monday**| 2018.11.5- Lab 08: Simple Linear Regression in
`R`

**Lab:**Lab 07: Simple Linear Regression in`R`

[`R`

Markdown ]

- Lab 08: Simple Linear Regression in
**Wednesday**| 2018.11.7- Inference for SLR.
**Slides:**Simple Linear Regression**Data:**Moneyball, Kaggle: Moneyball**Reading:**WMS: 11.5 - 11.8, ASWR: Chapter 8, ASWR: Chapter 13

**Friday**| 2018.11.9- Assumptions and diagnostics of SLR.
**Slides:**Simple Linear Regression**Reading:**WMS: 11.5 - 11.8, ASWR: Chapter 8, ASWR: Chapter 13**Deadline:**Homework 08 Due**Deadline:**Lab 08 Due

**Monday**| 2018.11.12- No lab.

**Wednesday**| 2018.11.14- Introduction to Bayesian Statistics.
**Data:**Coin Flips**Visualization:**`beta-bern.R`

**Reading:**WMS: 16.1 - 16.5**Deadline:**Project II Selection

**Friday**| 2018.11.16- Additional Bayesian models.
**Reading:**WMS: 16.1 - 16.5**Deadline:**Homework 09 Due

**Monday**| 2018.11.19- Project work time. Meet in
*161 Pomerene Hall*.

- Project work time. Meet in
**Wednesday**| 2018.11.21- No class.

**Friday**| 2018.11.23- No class.

**Monday**| 2018.11.26- Project work time. Meet in
*161 Pomerene Hall*.

- Project work time. Meet in
**Wednesday**| 2018.11.28- Project work time, maybe some presentations.

**Friday**| 2018.11.30- Project presentations. (Email presentation by end of day Thursday!)
**Deadline:**Project Presentation**Deadline:**Homework 10 Due

**Monday**| 2018.12.3- Final Exam Review. (Meet in normal room.)
**“Lab”:**Final Exam Practice**“Lab Solutions”:**Final Exam Practice Solutions

**Wednesday**| 2018.12.5- Last day of class! Review.
**Deadline:**Project Reports**Deadline:**Project Peer Review

**Friday**| 2018.12.7- No class! Good luck with finals! Get some sleep!

- See Lab 04.

**Due:**Friday, August 31**Assignment:**Lab 01: R, RStudio, and RMarkdown**Solutions:**[ zip ]

**Due:**Friday, September 14**Assignment:**Lab 02: Fitting a Probability Model [`R`

Markdown ]**Reading:**Fitting a Probability Model [`R`

Markdown ]**Solutions:**[ html ] [ Rmd ]

**Due:**Friday, September 21**Assignment:**Lab 03: Confidence Interval Coverage [`R`

Markdown ]**Solutions:**[ html ] [ Rmd ]

**Due:**Friday, October 5**Assignment:**Lab 04: Simulation and Bootstrap CIs [`R`

Markdown ]**Reading:**Simulation and Bootstrap CIs [`R`

Markdown ]**Solutions:**[ html ] [ Rmd ]

**Due:**Friday, October 19**Assignment:**Lab 05: Power [`R`

Markdown ]**Solutions:**[ html ] [ Rmd ]

**Due:**Friday, October 26**Assignment:**Lab 06: Parametric vs Nonparametric [`R`

Markdown ]**Solutions:**[ html ] [ Rmd ]

**Due:**Friday, November 2**Assignment:**Lab 07: Regession Estimates Sampling Distributions [`R`

Markdown ]**Solutions:**[ html ] [ Rmd ]

**Due:**Friday, November 9**Assignment:**Lab 08: Simple Linear Regression in`R`

[`R`

Markdown ]**Solutions:**[ html ] [ Rmd ]

- Date: Friday, September 21
- Information and Policies

- Date: Friday, November 2
- Information and Policies

- Project Selection Due: Friday, September 28
- Presentation Due: Tuesday, October 9, (Wednesday, October 10)
- Report Due: Friday, October 12
- Peer Review Due: Friday, October 12
- Project Information
- Format and Rubrics

- Project Selection Due: Wednesday, November 14
- Presentation Due: Thursday, November 29, (Friday, November 30)
- Report Due: Wednesday, December 5,
- Peer Review Due: Wednesday, December 5,
- Project Information
- Format and Rubrics