| Week | Topic | Reading | Homework and Exam | Handouts |
|---|---|---|---|---|
| Week 1 01/13, 01/15, 1/17 |
Introduction to Statistics and Statistical Software | Chapter 1.1-1.4 Introduction to R, RStudio, RMarkdown |
First Survey Installation and Practice of R |
Olympic records Music and Memory Short Introduction to R Introduction to R (Sample codes: P82-84) |
| Week 2 01/22, 01/24 |
Data Exploring and Descriptive Statistics | Chapter 1.5-1.10 | Exam Data Labor Data HW1 Solution to HW1 |
Data Exploring Example in R Frequency Table Example in R FatherSon Data for Regression |
| Week 3 01/27, 01/29, 01/31 |
Probability Concepts: Random Variables, CDF/PDF, Mean, Variance, |
Chapter 2 |
HW2 Solution to HW2 |
Introduction to Probability Conditional Probability |
| Week 4 02/03, 02/05, 02/07 |
Special distributions: Bernoulli, Binomial, Normal More special distributions: log Normal, Uniform, Exponential Negative Binomial,Hypergeometric, Poission |
Chapter 3 | Midterm I Solution HW3 Solution to HW3 Solution to HW3 Part 2 Solution to HW3 Part 2 R code |
Example Midterm I Solution Binomial & Normal in R |
| Week 5 02/10, 02/12, 02/14 |
Joint Distribution Conditional distribution |
Chapter 4 |
HW4
Solution to HW4 |
Normal Distributions and QQ Plots Demo of Binormal Distribution 3-D histogram |
| Week 6 02/17, 02/19, 02/21 |
Sampling Distributions, LLN, CLT |
Chapter 5 |
HW5
Solution to HW5 part 1 part 2 |
|
| Week 7 02/24, 02/26, 02/28 |
Chi-square distribution, Student's-T distribution, F distirubiton Statistical Models for Data |
Chapter 6-7 |
HW6
Solution to HW6 part 1 part 2 |
|
| Week 8 03/02, 03/04 , 03/06 |
Concepts of Inference: Point Estimation, Confidence Interval Hypothesis Test |
Notes P187-220
Chapter 6 (6.3.3 was mentioned in week 2 and will be revisited in the regression part) Chapter 7.1-7.2 Chapter 8.1-8.2 |
Midterm II Solution | Example Midterm II Solution Derivation of Confidence Interval of Mean One sample z-test and t-test and confidence intervals |
| Week 9, Week 10 |
Spring Break | |||
| Week 11 03/23, 03/25 , 03/27 |
Inference on Mean via CLT, Inference on Variance | Notes P221- 240 Chapter 7.3.1, 7.3.2, 7.3.5,7.4 Chapter 8.3.1, 8.3.2, 8.4 |
HW7
Solution to HW7 |
Inference for One Sample |
| Week 12 03/30, 04/01 , 04/03 |
Inferences for two samples: mean, variance, proportion |
Notes P242-264 Chapter 9.1, 9.2, 9.4, 9.5.1, 9.5.2 |
HW8
Solution to HW8 Part2 |
Two Sample Inferences |
| Week 13 04/06, 04/08 , 04/10 |
Nonparametric Tests * Inferences for Proportions and Counts |
Notes P265-270 Notes P270-281 Chapter 10.2.3 (One-Way Table) Chapter 9.5.3 (Two-Way Table Matched Pairs) |
HW9 Solution to HW9 Part2 |
Pearson Chi-square Tests |
| Week 14 04/13, 04/15 , 04/17, |
Simple Linear Regression, Correlation |
Notes P282 - 327 Chapter 4.6.2, 6.3.3, 7.3.3, 7.5, 8.3.3 8.3.4 |
Midterm III Solution |
Simple Linear Regression Example Model Diagnosis in Regression Outlier Data Hospital Infection Data |
| Week 15 04/20, 04/22 , 04/24 |
Multiple Linear Regression | Notes P328 - 343 Chapter 12 |
HW10 Solution Part I II HW11 Solution Part I II Take Home R Project PIQ data |
Blood Pressure Data Multiple Linear Regression Example Multiple Linear Regression with Categorical Variables |
| Final Week 05/01 10:30 am. -12:30 pm. | Final Exam |
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