Jump to: | Unit 1 | Unit 2 | Unit 3 | Unit 4 | Unit 5 | Unit 6 | Unit 7 |
Apr 20, Wed | Lesson 8.1: Bayesian vs. frequentist inference |
App Ex 8.1: Bayesian vs. frequentist inference | |
Apr 21, Thu | Lab: Poster session |
Apr 25, Mon | Lesson 8.2 - Final exam review |
Apr 26, Tue | No discussion section - Office hours in Old Chem 213 |
Apr 27, Wed | Review / synthesis |
Videos: Videos for Unit 1 | Learning objectives: LO 1 | Textbook: Chp 1 |
Jan 13, Wed | Introduction to Sta 101 |
Lesson 1.1: Data Collection, observational studies & experiments | |
Jan 14, Thu | Lab 0: Introduction |
Jan 18, Mon | Martin Luther King, Jr. day - no class |
Jan 20, Wed | RA 1 in class (not graded) |
Lesson 1.2: Exploratory data analysis | |
App Ex 1.1: Distributions of numerical variables | |
Jan 21, Thu | Lab 1: Intro to R and RStudio |
Jan 25, Mon | Lesson 1.3: More exploratory data analysis |
App Ex 1.2: Histogram to boxplot | |
App Ex 1.3: Scientific studies in the press | |
Jan 27, Wed | Lesson 1.4: Introduction to statistical inference |
App Ex 1.4: Randomization testing | |
Jan 28, Thu | Lab 2: Introduction to data |
Videos: Videos for Unit 2 | Learning objectives: LO 2 | Textbook: Chp 2 - Sec 2.1, 2.2 + Chp 3 - Sec 3.1, 3.2, 3.4 |
Feb 1, Mon | RA 2 in class |
Lesson 2.1: Probability and conditional probability | |
App Ex 2.1: Voting probabilities of college students | |
Feb 2, Tue | DS 3: Probability |
Feb 3, Wed | Lesson 2.2: Bayes’ theorem and Bayesian inference |
App Ex 2.2: Bayesian drug testing | |
Feb 4, Thu | Lab 3: Probability |
Feb 8, Mon | Lesson 2.3: Normal and binomial distribution |
App Ex 2.3: Hourly rates of manufacturing workers | |
Feb 2, Tue | DS 4: Distributions |
Videos: Videos for Unit 3 | Learning objectives: LO 3 | Textbook: Chp 4 |
Feb 10, Wed | RA 3 in class |
Lesson 3.1: Variability in estimates and CLT | |
Feb 11, Thu | Lab 4: Sampling distributions |
Feb 15, Mon | No class - snow day |
Feb 16, Tue | DS 5: Foundations for inference |
Feb 17, Wed | Lesson 3.2: Confidence intervals |
App Ex 3.1: Relaxing after work | |
Feb 18, Thu | Lab 5: Confidence intervals |
Feb 21, Sun | 2 - 3:15pm at LSRC B 101 - MT 1 Review |
Feb 22, Mon | Lesson 3.3: Hypothesis tests |
App Ex 3.2: Grade inflation | |
Feb 23, Tue | DS 6: MT1 Review |
Videos: Videos for Unit 4 | Learning objectives: LO 4 | Textbook: Chp 5 |
Feb 25, Thu | Lab 6: Inference for numerical data |
Feb 29, Mon | Lesson 4.1: Inference with t |
App Ex 4.1: Comparing means | |
RA 4 in class | |
Mar 1, Tue | DS 7: t inference |
Mar 2, Wed | Lesson 4.2: Bootstrap intervals |
App Ex 4.2: Bootstrap intervals | |
Mar 3, Thur | Lab: Work on project proposal |
Mar 7, Mon | Lesson 4.3: Power |
App Ex 4.3: Power | |
Mar 8, Tue | DS 8: DS 8: Paired vs. independent groups + Power |
Mar 9, Wed | Lesson 4.4: ANOVA |
App Ex 4.4: ANOVA | |
Mar 10, Thu | Lab 7: (More) inference for numerical data |
Videos: Videos for Unit 5 | Learning objectives: LO 5 | Textbook: Chp 6 |
Mar 21, Mon | RA 5 in class |
Lesson 5.1: Inference for a single proportion | |
App Ex 5.1: Inference for a single proportion | |
Mar 22, Tue | DS 9: One and two proportions |
Mar 23, Wed | Lesson 5.2: Inference for comparing two proportions |
App Ex 5.2: Inference for comparing two proportions | |
Mar 24, Thu | Lab 8: Inference for categorical data |
Mar 28, Mon | Lesson 5.3: Chi-square tests |
App Ex 5.3: Chi-square tests | |
Mar 29, Tue | DS 10: MT2 Review |
Videos: Videos for Unit 6 | Learning objectives: LO 6 | Textbook: Chp 7 |
Mar 31, Thu | Lab 9: Introduction to linear regression |
Apr 4, Mon | RA 6 in class |
Lesson 6.1: Introduction to regression | |
App Ex 6.1: Linear models | |
Apr 5, Tue | DS 11: Linear regression |
Apr 6, Wed | Lesson 6.2: Outliers and inference for regression |
App Ex 6.2: Linear regression |
Videos: Videos for Unit 7 | Learning objectives: LO 7 | Textbook: Chp 8 - Sec 8.1, 8.2, 8.3 |
Apr 7, Thu | Lab 10: Multiple linear regression |
Apr 11, Mon | RA 7 in class |
Lesson 7.1: Introduction to multiple linear regression | |
Apr 12, Tue | DS 12: Multiple regression |
Apr 13, Wed | Lesson 7.2: Model selection & diagnostics for MLR |
App Ex 7.1: Multiple linear regression | |
Apr 14, Thu | Work on project |
Apr 18, Mon | Lesson 7.3: Transformations and case study |
App Ex 7.2: Interpreting models with a transformed response | |
Apr 19, Tue | DS 13: Project help - In Old Chem 213 |