STA 111 Probability and Statistical Inference
Course Information
- Instructor: Lu Wang
- TA: Yizheng Wang
- Lecture: M-F 12:30-1:45pm, Perkins LINK 088 (Classroom 4)
- Lab: M 2:00-3:15pm, Old Chemistry 201
- Office hours: T-F 2:00-3:00pm, Old Chemistry 211a
- Textbook: OpenIntro Statistics (3rd edition)
- (Optional) Probability and Statistics (4th edition), De Groot and Schervish
Schedule
| Date | Lecture | Reading | Homework & Lab | Due | |||||
|---|---|---|---|---|---|---|---|---|---|
| 07/03 | Introduction & exploratory data analysis Lec1.pdf Lab: Intro to R & Rstudio, Intro to Data |
Ch 1.2,1.6 | Lab 1: On your own (Intro to Data) 1-6 Sakai Lab_report_template R Markdown cheatsheet |
07/07 5pm | |||||
| 07/05 | Probability Lec2.pdf Conditional probability Lec3.pdf |
Ch 2.1 - 2.2 | Homework 1 | 07/10 5pm | |||||
| 07/06 | Random variable & discrete distributions Lec4.pdf | Ch 2.4, 3.3, 3.4 | |||||||
| 07/07 | Normal distribution Lec5.pdf | Ch 2.5, 3.1, 3.2 | |||||||
| 07/10 | Variability in estimates Lec6.pdf Lab: Distribution |
Ch 4.1 | Lab 2: On your own 1, 2, 3 Homework 2 |
07/14 5pm 07/17 5pm |
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| 07/11 | Confidence intervals Lec7.pdf | Ch 4.2 | |||||||
| 07/12 | Hypothesis testing Lec8.pdf | Ch 4.3 | |||||||
| 07/13 | learning_objectives_ch2 learning_objectives_ch3 learning_objectives_ch4 |
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| 07/14 —— |
Practice Review ——— |
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| 07/17 | Midterm 1 (bring calculator + cheat sheet) Lab: Sampling distributions, Confidence Intervals |
Lab 3: On your own (Confidence Intervals) 1, 2, 3 | 07/21 5pm | ||||||
| 07/18 | Inference using the t distribution Lec9.pdf | Ch 5.1 - 5.3 | Homework 3 | 07/24 5pm | |||||
| 07/19 | Bootstrap intervals Lec10.pdf | ||||||||
| 07/20 | Decision errors & power Lec11.pdf | Ch 5.4 | |||||||
| 07/21 | ANOVA Lec12.pdf | Ch 5.5 | |||||||
| 07/24 | Inference for a single proportion Lec13.pdf Lab: Construct bootstrap intervals Lab4.pdf |
Ch 6.1 | Lab 4, movies20.RData | 07/28 5pm | |||||
| 07/25 | Difference of two proportions Lec14.pdf | Ch 6.2 | Homework 4 | 07/31 5pm | |||||
| 07/26 | Chi-square test of goodness of fit Lec15.pdf | Ch 6.3 | |||||||
| 07/27 —— |
Chi-square test of independence Lec16.pdf Small sample hypothesis testing Lec17.pdf ——— |
Ch 6.4 - 6.6 | |||||||
| 07/28 —— |
Practice Review learning_objectives_ch5 learning_objectives_ch6 ——— |
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| 07/31 | Midterm 2 (bring calculator + cheat sheet) Lab: Inference for categorical data |
Lab 5: On your own 1, 2, 3 | 08/04 5pm | ||||||
| 08/01 | Introduction to linear regression Lec18.pdf | Ch 7.1 - 7.2 | Homework 5 | 08/07 5pm | |||||
| 08/02 | Conditions for least squares regression and types of outliers Lec19.pdf | Ch 7.2 - 7.3 | |||||||
| 08/03 | Inference for linear regression Lec20.pdf | Ch 7.4 | |||||||
| 08/04 —— |
Introduction to multiple linear regression Lec21.pdf ——— |
Ch 8.1 | |||||||
| 08/07 | Model selection and conditions for MLR Lec22.pdf Log transformation Lec23.pdf Lab: Linear regression |
Ch 8.2 - 8.3 | Lab 6: On your own 1, 2, 5 | 08/10 5pm | |||||
| 08/08 —— |
Logistic regression Lec24.pdf ——— |
Ch 8.4 | |||||||
| 08/09 —— |
No class learning_objectives_ch7 learning_objectives_ch8 ——— |
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| 08/10 —— |
Final Exam Practice Review Lec25.pdf ——— |
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| 08/11 | 7pm - 10pm Final Exam Location: Sociology-Psychology 129 (bring calculator + cheat sheet) |
Evaluation
- 15% Homework
- 10% Labs
- 5% Attendance
- 20% Midterm exam (each)
- 30% Final exam
- Late work will be penalized 20% per day
- Exam dates cannot be changed. No make-up exams will be given.
Academic Honesty:You are expected to uphold the Duke Community Standard. Any cheating will be reported to the Office of Student Conduct and will result in penalties ranging from a zero on the assignment to failing the course. Cheating includes, but is not limited to: using unauthorized materials during quizzes and exams; copying another student’s solutions; copying from a solutions manual; copying a solution found on the internet; asking someone else to solve problems for you; or otherwise turning in work which is not your own.
You may help each other on homework and labs, but the work you turn in must be your own. You must work alone during exams.