Click on the text like “Week 1: Sep 5 – 7” to expand or collapse the items we covered in that week.
I will fill in more detail and provide links to lecture notes and labs as we go along. Items for future dates are tentative and subject to change.
Chapter 1: Observational Units, Categorical and Quantitative Variables
Wed, Sept 5
- In class, we will work on:
- Introductory lab: pdf
- Here’s a link to sign up for our class at gryd.us (this is the site where we will use R, you will need to do this to complete the lab): https://beta.gryd.us/course/3wwAgQ39gQHjApaijRcWTE/register/
- Important: Please use your mtholyoke.edu email address to register for this site! Otherwise you will have to pay… :(
- After class, please do the following:
- Fill out a brief pre-course questionairre
- Fill out this poll about when my office hours should be held: http://whenisgood.net/d8wmb4z
- Sign up for our class at gryd.us if you didn’t already (this is the site where we will use R): https://beta.gryd.us/course/3wwAgQ39gQHjApaijRcWTE/register/
- Sign up for our class at Piazza (anonymous question and answer forum): https://piazza.com/mtholyoke/fall2018/stat14002
- Reading: Read Chapter 1 of Stats: Data and Models 4th edition, or Chapter 2 of the 3rd edition
- Homework 1: Complete 4 DataCamp chapters from the Introduction to R course: Intro to basics, Vectors, Factors, and Data frames. You will get an email by the end of the day on Sept 5 inviting you to join our class organization with an assignment pointing you to the specific chapters to do. You should feel free to work on this in groups – but please each complete your own copy of this assignment! Your grade on this assignment is only for completion, not correctness. If you get stuck, post a message on Piazza! I don’t expect you to remember everything or feel like an expert at it; that’s what the rest of the class is for! This is just a first introduction.
Fri, Sept 7
- In class, we will work on:
- Matching up ideas from the textbook and the data camp assignment.
- Introduction to R and Categorical Data lab on Gryd.
- After class, please do the following:
- Read:
- Stats: Data and Models 4th edition: Chapter 2, or
- Stats: Data and Models 3rd edition: Chapter 3
- Start on Homework 2: Data camp assignment about “Introduction to the Tidyverse”, due Wednesday Sep 12.
Mon, Sep 10
- In class, we will work on:
- Wrap-up of lab from Friday; things to know about R so far. R Commands summary: pdf
- Material from Chapter 2 and related R functionality:
- Example involving Joint, Marginal, and Conditional distributions based on a sample; Independence; and Simpson’s Paradox. pdf
- The
count
function in R
- After class, please do the following:
- Read:
- Stats: Data and Models 4th edition: Chapters 3 and 4, or
- Stats: Data and Models 3rd edition: Chapters 4 and 5
- Finish Homework 2: Data camp assignment about “Introduction to the Tidyverse”, due Wednesday Sep 12.
Wed, Sep 12
- In class, we will work on:
- Material from Chapters 3 and 4 and related R functionality:
- Brief recap of data visualization with ggplot2: pdf
- Start on a lab about data visualizations and calculating quantitative summaries of data
- After class, please do the following:
- No new work outside of class.
Fri, Sep 14
- In class, we will work on:
- More about visualization:
- Understanding and interpreting common types of plots: pdf
- Finish data visualizations part of lab 02
- After class, please do the following:
- Start on Homework 3: Assignment covering Chapters 1 – 2 and data visualizations, on Gryd, due Wednesday Sep 19.
Mon, Sep 17
- In class, we will work on:
- When to use mean/median, standard deviation/IQR. pdf
- R commands for dealing with quantitative variables. pdf
- Brief recap of all functionality related to reading in and summarizing data in R so far (see Resources tab)
- Finish the whole Bechdel test lab; please submit by the end of the day today.
- After class, please do the following:
- Homework 3: Assignment covering Chapters 1 – 2 and data visualizations, on Gryd, due Wednesday Sep 19.
- Read:
- Stats: Data and Models 4th edition: Sections 6.1 through 6.3 (but not the sections about Kendall’s Tau or Spearman’s Rho; also, we won’t be calculating correlation by hand, so don’t worry about those calculations - we will want to understand its properties and what it does and does not tell us), or
- Stats: Data and Models 3rd edition: Chapter 7 (but not the sections about Kendall’s Tau, Spearman’s Rho, or Straightening Scatterplots; also, we won’t be calculating correlation by hand, so don’t worry about those calculations - we will want to understand its properties and what it does and does not tell us)
Wed, Sep 19
- Homework 3 due!
- In class, we will work on:
- Material from Chapter 6 (4th edition); or Chapter 7 (3rd edition)
- Thinking about the relationship between 2 quantitative variables: scatter plots and correlation pdf
- Building some intuition about what correlation means: pdf
- Lab03 on Gryd: practice working with scatter plots and correlation.
- After class, please:
- Read:
- Stats: Data and Models 4th edition: Chapter 11
- Stats: Data and Models 4th edition: Chapter 12
Fri, Sep 21
- In class, we will work on:
- Material from Chapter 11 (4th edition); or Chapter 12 (3rd edition)
- Sampling Summary pdf
- Lab04 on Gryd: Goldfish lab, introduction to sampling distributions and bias.
- After class, please:
- Read:
- Stats: Data and Models 4th edition: Chapter 12
- Stats: Data and Models 4th edition: Chapter 13
- Homework 4: Assignment covering Chapters 3 – 4 and 6, on Gryd, due Wednesday Sep 26 at midnight.
Mon, Sep 24
- In class, we will work on:
- Quiz on material from HW03. Solutions to HW03 are posted on Gryd and a sample quiz is posted on the Quizzes/Exams page on the course website.
- Wrap up of Lab03 on Gryd, which we did on Friday Sep 21
- Summary of Experiments and Observational Studies: pdf
- Examples
- After class, please:
- Homework 4: Assignment covering Chapters 3 – 4 and 6, on Gryd, due Wednesday Sep 26 at midnight.
Wed, Sep 26
- Homework 4 due at midnight!
- In class, we will work on:
- Introduction to hypothesis testing pdf
- After class, please:
- Homework 5 due Wednesday, Oct 3
- Read
- Stats: Data and Models 4th edition: Sections 16.1, 16.2, and 16.3. Don’t worry about the formulas, we will be using R for computations.
- Stats: Data and Models 3rd edition: Chapter 17 - just the first few sections, up to and including “The Binomial Model”; stop before “The Normal Model to the Rescue!” Don’t worry about the formulas, we will be using R for computations.
Fri, Sep 28
- In class, we will work on:
- The binomial model and its use for hypothesis tests about a proportion.
- UPDATED, CORRECT VERSION: pdf
- ORIGINAL, INCORRECT VERSION: pdf
- Lab 06 on Gryd
- After class, please:
- Homework 5 due Wednesday, Oct 3
More on inference for a population proportion.
Mon, Oct 1
- In class, we will work on:
- Quiz on material from HW4 (see Quizzes/Exams page for review materials)
- Correction to discussion of
pbinom
from last class.
- Wrap up Lab 06 on Gryd
- More about hypothesis tests for a population proportion.
- After class, please:
- Homework 5 due Wednesday, Oct 3
Wed, Oct 3
- Homework 5 due today!!
- In class, we will work on:
- Review of examples from last class
- Lab 07 on Gryd: more examples of hypothesis tests about proportions, practice doing computations in R
- After class, please:
- Start reviewing for our first midterm
Fri, Oct 5
- In class, we will work on:
- More practice with hypothesis tests for population proportions
- How can we plot p-values calculated based on a binomial distribution? pdf
- After class, please:
- Review for our first midterm
Mon, Oct 8
- No Class: mid-semester break. Safe travels!
Wed, Oct 10
- In class, we will work on:
- Start thinking about confidence intervals for a population proportion
- After class, please:
- Do the take-home part of the midterm!
Fri, Oct 12
- Take-home portion of midterm due today at start of class!
- In-class portion of midterm held today!
Mon, Oct 15
- In class, we will work on:
- More examples of finding and interpreting confidence intervals for a population proportion: pdf
- After class, please:
- Read:
- SDM4: Chapter 5, Sections 17.3, 17.4, and 17.5
- SDM3: Chapter 6, Second half of Chapter 18 (starting at “What About Quantitative Data?”)
- Homework 6 due Wed, Oct 24 (will be assigned on Gryd by Tuesday Oct 16)
Wed, Oct 17
- In class, we will work on:
- After class, please:
- Work on Homework 6 due Wed, Oct 24
Fri, Oct 19
- Class cancelled for LEAP day
Mon, Oct 22
- In class, we will work on:
- Overview of Lab 11 from Gryd (introduction to sampling distribution of the sample mean)
- The normal distribution: pdf
- Sampling distribution of the sample mean: pdf
- After class, please:
- Homework 6 due Wed, Oct 24
- Read:
- SDM4: Chapter 20
- SDM3: Chapter 23
Wed, Oct 24
- Homework 6 is due today!!
- In class, we will work on:
- Finish examples about sampling distribution of the sample mean from last class
- Hypothesis tests about a population mean
- Normal-distribution based hypothesis tests (necessary for conceptual understanding, but not the actual method we will be using!!). pdf
Fri, Oct 26
- In class, we will work on:
- Wrap up last example of normal-distribution hypothesis tests from last class.
- \(t\)-distribution based hypothesis tests (this is the actual method we will be using!!). pdf
- Start Lab 13 on Gryd: more examples
Mon, Oct 29
- In class, we will work on:
- Quiz on inference for a population proportion. See quizzes page for a sample quiz.
- Lab 13 on Gryd
Wed, Oct 31
- In class, we will work on:
- Review of second example from Lab 13
- Introduce confidence intervals for a population mean: pdf
- Lab 14 on Gryd
- After class, please:
- Read:
- SDM4: Chapter 21
- SDM3: Chapter 21 (the material we’ve been working on for the last few days was in Chapter 23 - I had previously pointed you to Chapter 21 for this.)
- Start HW7, due Wed. Nov 7
Fri, Nov 2
- In class, we will work on:
- Review Lab 14; Start Lab 15
- After class, please:
- Work on HW7, due Wed. Nov 7
Mon, Nov 5
- In class, we will work on:
Wed, Nov 7
- In class, we will work on:
- Additional ideas about hypothesis tests and confidence intervals: pdf
- After class, please:
- Work on HW7, due Mon. Nov 12
- Read:
- SDM4 Chapter 7
- SDM3 Chapter 8
Fri, Nov 9
- In class, we will work on:
- Start on Linear Regression: pdf
- Lab 16
- After class, please:
- Work on HW7, due Mon. Nov 12
Mon, Nov 12
- Homework 7 due today!
- In class, we will work on:
- Wrap up for lab 17 on Gryd: pdf
- Motivation for ideas thinking about model fit: pdf
- \(R^2\) and Residual Standard Error (RSE): pdf
- Lab 17 on Gryd: Anscombe’s data
- Linear Regression: conditions for inference and residual diagnostics: pdf
- After class, please:
Wed, Nov 14
- In class, we will work on:
- Finish handout about conditions for inference and residual diagnostics from last class
- Lab 18 on Gryd
- After class, please:
Fri, Nov 16
- In class, we will work on:
- I will answer any questions you have about the exam. I will not specifically prepare any material. Please come with questions or examples you would like to look at. It would be good to take a look at the practice exam posted on the quizzes/exams page on the course website.
Mon, Nov 19
- Midterm 2 in class today: covers inference for a population mean and population proportion; Homeworks 6 and 7
Wed, Nov 21
- No Class: Thanksgiving break. Safe travels!
Fri, Nov 23
- No Class: Thanksgiving break. Safe travels!
Mon, Nov 26
- In class, we will work on:
- Inference for linear regression: pdf
- Summary of things related to linear regression so far: pdf
- Lab 19 on Gryd
- After class, please:
- Work on Homework 8, due Wed Dec 5
Wed, Nov 28
- In class, we will work on:
- Inference for linear regression
- After class, please:
- Work on Homework 8, due Wed Dec 5
Fri, Nov 30
- In class, we will work on:
- More about linear regression
- After class, please:
- Work on Homework 8, due Wed Dec 5
Mon, Dec 3
- In class, we will work on:
- More about linear regression
- After class, please:
- Work on Homework 8, due Wed Dec 5
Wed, Dec 5
- Homework 8 due today!!
- In class, we will work on:
- After class, please:
- Work on Homework 9, due Mon Dec 10
Fri, Dec 7
- In class, we will work on:
- More about linear regression
- After class, please:
- Work on Homework 9, due Mon Dec 10
We will have a cumulative final exam.