Videos: Videos for Unit 1 | Learning objectives: LO 1 | Textbook: Chp 1 |

Aug 24, Mon | Introduction to Sta 101 |

Lesson 1.1: Data Collection, observational studies & experiments | |

Aug 26, Wed | RA 1 in class (not graded) |

Lesson 1.2: Exploratory data analysis | |

App Ex 1.1: Distributions of numerical variables | |

Aug 27, Thu | Lab 0: Introduction |

Aug 31, Mon | Lesson 1.3: Introduction to statistical inference |

Sep 2, Wed | Lesson 1.4: Review of Unit 1 |

App Ex 1.2: Scientific studies in the press | |

App Ex 1.3: Histogram to boxplot | |

App Ex 1.4: Randomization testing | |

Sep 3, Thu | Lab 1: Intro to R and RStudio |

- PS 1: Sep 4, Fri
- End of chapter exercises from
**Chp 1**. Only turn in answers to graded questions, use the back of the book to check your work on the practice questions. Must show**all**work to get credit. Click here to submit the problem set. **Graded questions:**1.2, 1.6, 1.12, 1.20, 1.32, 1.34, 1.44, 1.52, 1.56, 1.60, 1.64, 1.66, 1.68, 1.70 (see errata)- Practice questions:
- Part 1 – Designing studies: 1.1, 1.3, 1.11, 1.13, 1.17, 1.19, 1.25, 1.27, 1.31
- Part 2 – Exploratory data analysis: 1.39, 1.41, 1.45, 1.49, 1.51, 1.55, 1.59, 1.63, 1.65
- Part 3 – Introduction to inference via simulation: 1.67, 1.69

- End of chapter exercises from
- PA 1: Sep 6, Sun
- Take between Sep 2, Wed and Sep 6, Sun.
- You have 30 minutes to complete. Only one attempt allowed. Click here to take the performance assessment.

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 |

Sep 7, Mon | RA 2 in class |

Lesson 2.1: Probability and conditional probability | |

App Ex 2.1: Voting probabilities of college students | |

Sep 9, Wed | Lesson 2.2: Bayes’ theorem and Bayesian inference |

App Ex 2.2: Bayesian drug testing | |

Sep 10, Thu | Lab 2: Introduction to data |

Sep 14, Mon | Lesson 2.3: Normal distribution |

App Ex 2.3: Normal distribution | |

Sep 16, Wed | Lesson 2.4: Binomial distribution |

App Ex 2.4: Binomial distribution | |

Sep 17, Thu | Lab 3: Probability |

- Lab 1: Sep 10, Thu
- Lab 2: Sep 17, Thu
- PS 2: Sep 18, Fri
- End of chapter exercises from
**Chp 2**and**Chp 3**. Only turn in answers to graded questions, use the back of the book to check your work on the practice questions. Must show**all**work to get credit. Click here to submit the problem set. **Graded questions:**- Chp 2: 2.2, 2.8, 2.18, 2.20, 2.22, 2.26
- Chp 3: 3.4, 3.6, 3.12, 3.18, 3.26, 3.28, 3.30, 3.36

- Practice questions:
- Part 1 – Defining probability: 2.1, 2.3, 2.5, 2.7, 2.13
- Part 2 – Conditional probability: 2.15, 2.19, 2.21, 2.23
- Part 3 – Normal distribution: 3.3, 3.5, 3.9, 3.11, 3.17
- Part 4 – Binomial distribution: 3.25, 3.27, 3.29, 3.33

- End of chapter exercises from
- PA 2: Sep 20, Sun
- Take between Sep 16, Wed and Sep 20, Sun.
- You have 30 minutes to complete. Only one attempt allowed. Click here to take the performance assessment.

Videos: Videos for Unit 3 | Learning objectives: LO 3 | Textbook: Chp 4 |

Sep 21, Mon | RA 3 in class |

Lesson 3.1: Variability in estimates and CLT | |

Sep 23, Wed | Lesson 3.2: Confidence intervals |

App Ex 3.1: Relaxing after work | |

Sep 24, Thu | Lab 4: Sampling distributions |

Sep 28, Mon | Lesson 3.3: Hypothesis tests |

App Ex 3.2: Grade inflation | |

Sep 30, Wed | Lesson 3.4: Review |

Oct 1, Thu | Lab 5: Confidence intervals |

- Lab 3: Sep 24, Thu
- Lab 4: Oct 1, Thu
- PS 3: Oct 2, Fri
- End of chapter exercises from
**Chp 4**. Only turn in answers to graded questions, use the back of the book to check your work on the practice questions. Must show**all**work to get credit. Click here to submit the problem set. **Graded questions:**4.2, 4.8, 4.10, 4.12, 4.16, 4.20, 4.24, 4.28, 4.30, 4.32, 4.36, 4.38, 4.44, 4.48- Practice questions:
- Part 1 – Variability in estimates and the Central Limit Theorem: 4.1, 4.3, 4.5, 4.33, 4. 35, 4.37, 4.41
- Part 2 – Confidence intervals: 4.9, 4.11, 4.13, 4.15
- Part 3 – Hypothesis tests: 4.17, 4.19, 4.23, 4.25, 4.27
- Part 4 – Inference for other estimators: 4.43, 4.45
- Part 5 - Decision errors, significance, and confidence: 4.29, 4.31, 4.47

- End of chapter exercises from
- PA 3: Oct 4, Sun
- Take between Sep 30, Wed and Oct 4, Sun.
- You have 30 minutes to complete. Only one attempt allowed. Click here to take the performance assessment.

Videos: Videos for Unit 4 | Learning objectives: LO 4 | Textbook: Chp 5 |

Oct 7, Wed | Lesson 4.1: Inference with t |

App Ex 4.1: Comparing means | |

Oct 8, Thu | Lab 6: Inference for numerical data |

Oct 12, Mon | Fall Break - no class |

Oct 14, Wed | RA 4 in class |

Lesson 4.2: Bootstrap intervals | |

App Ex 4.2: Bootstrap intervals | |

Oct 15, Thu | Work on Project 1 proposal |

Oct 19, Mon | Lesson 4.3: Power |

App Ex 4.3: Power | |

Oct 21, Wed | Lesson 4.4: ANOVA |

App Ex 4.4: ANOVA | |

Oct 22, Thu | Lab 7: (More) inference for numerical data |

- Lab 5: Oct 8, Thu
- Lab 6: Oct 15, Thu
- Project 1 Proposal: Oct 19, Mon
- PS 4: Oct 23, Fri
- End of chapter exercises from
**Chp 5**. Only turn in answers to graded questions, use the back of the book to check your work on the practice questions. Must show**all**work to get credit. Click here to submit the problem set. **Graded questions:**Chp 5: 5.4, 5.6, 5.12, 5.16, 5.20, 5.28, 5.30, 5.34, 5.36, 5.38, 5.44, 5.46, 5.48, 5.50- Practice questions:
- Part 1 – t-inference: 5.1, 5.3, 5.5, 5.13, 5.17, 5.19, 5.21, 5.23, 5.27, 5.31, 5.35, 5.37
- Part 2 – Power: 5.39
- Part 3 – Comparing three or more means (ANOVA): 5.41, 5.43, 5.45, 5.47, 5.49, 5.51
- Part 4 – Simulation based inference for means

- End of chapter exercises from
- PA 4: Oct 25, Sun
- Take between Oct 21, Wed and Oct 25, Sun.

Videos: Videos for Unit 5 | Learning objectives: LO 5 | Textbook: Chp 6 |

Oct 26, Mon | RA 5 in class |

Lesson 5.1: Inference for a single proportion | |

App Ex 5.1: Inference for a single proportion | |

Oct 28, Wed | Lesson 5.2: Inference for comparing two proportions |

App Ex 5.2: Inference for comparing two proportions | |

Oct 29, Thu | Lab 8: Inference for categorical data |

Nov 2, Mon | Lesson 5.3: Chi-square tests |

App Ex 5.3: Chi-square tests | |

Nov 4, Wed | Lesson 5.4: Review/synthesis |

Nov 5, Thu | Work on Project 1 |

- Lab 7: Oct 29, Thu
- Lab 8: Nov 5, Thu
- Project 1: Nov 6, Fri
- PS 5: Nov 6, Fri
- End of chapter exercises from
**Chp 6**. Only turn in answers to graded questions, use the back of the book to check your work on the practice questions. Must show**all**work to get credit. Click here to submit the problem set. **Graded questions:**6.2, 6.4, 6.8, 6.12, 6.16, 6.20, 6.26, 6.28, 6.30, 6.36, 6.44, 6.48, 6.52, 6.54, 6.56- Practice questions:
- Part 1 – Single proportion: 6.1, 6.3, 6.5, 6.9, 6.11, 6.13, 6.15, 6.19, 6.21
- Part 2 – Comparing two proportions: 6.23, 6.25, 6.27, 6.29, 6.31, 6.33, 6.35
- Part 3 – Inference for proportions via simulation: 6.51, 6.53, 6.55
- Part 4 – Comparing three or more proportions (Chi-square): 6.39, 6.41, 6.43, 6.45, 6.47

- End of chapter exercises from
- PA 5: Nov 7, Sat (Note day change to allow for reviewing answers before the midterm)
- Take between Nov 4, Wed and Nov 7, Sat.

Videos: Videos for Unit 6 | Learning objectives: LO 6 | Textbook: Chp 7 |

Nov 11, Wed | RA 6 in class |

Lesson 6.1: Introduction to regression | |

App Ex 6.1: Linear models | |

Nov 12, Thu | Lab 9: Introduction to linear regression |

Nov 16, Mon | Lesson 6.2: Outliers and inference for regression |

App Ex 6.2: Linear regression |

- PS 6: Nov 20, Fri
- End of chapter exercises from
**Chp 7**. Only turn in answers to graded questions, use the back of the book to check your work on the practice questions. Must show**all**work to get credit. Click here to submit the problem set. **Graded questions:**7.2, 7.6, 7.8, 7.10, 7.12, 7.14, 7.16, 7.18, 7.20, 7.26, 7.28, 7.30, 7.34, 7.36, 7.42, 7.44- Practice questions:
- Part 1 – Relationship between two numerical variables: 7.1, 7.3, 7.7, 7.9, 7.11, 7.13, 7.15
- Part 2 – Linear regression with a single predictor: 7.17, 7.19, 7.25, 7.27, 7.29, 7.31, 7.33
- Part 3 – Inference for linear regression: 7.25, 7.37, 7.39, 7.41, 7.43

- End of chapter exercises from
- PA 6: Nov 22, Sun
- Take between Nov 16, Mon and Nov 22, Sun.

Videos: Videos for Unit 7 | Learning objectives: LO 7 | Textbook: Chp 8 - Sec 8.1, 8.2, 8.3 |

Nov 18, Wed | RA 7 in class |

Lesson 7.1: Introduction to multiple linear regression | |

Nov 19, Thu | Lab 10: Multiple linear regression |

Nov 23, Mon | Lesson 7.2: Model selection & diagnostics for MLR |

App Ex 7.1: Multiple linear regression | |

Nov 25, Wed | Thanksgiving break - no class |

Nov 26, Thu | Thanksgiving break - no lab |

Nov 30, Mon | Lesson 7.3: Transformations and case study |

App Ex 7.2: Interpreting models with a transformed response |

- Lab 8: Nov 19, Thu
- Lab 10: Nov 30, Mon (by class, 10:05am)
- PS 7: Dec 4, Fri
- End of chapter exercises from
**Chp 8**. Only turn in answers to graded questions, use the back of the book to check your work on the practice questions. Must show**all**work to get credit. Click here to submit the problem set. **Graded questions:**8.2, 8.4, 8.6, 8.8, 8.10, 8.12, 8.14- Practice questions:
- Part 1 – Regression with multiple predictors: 8.1, 8.3
- Part 2 – Inference for MLR: 8.5
- Part 3 – Model selection: 8.7, 8.9, 8.11
- Part 4 – Model diagnostics: 8.13

- End of chapter exercises from
- PA 7: Dec 6, Sun
- Take between Nov 30, Mon and Dec 6, Sun.

Dec 2, Wed | Review / synthesis |

Dec 3, Thu | Project 2 poster session (@ The Edge Workshop Room) |