Week 1

Monday 1-23

Lecture Notes

Announcements

Before class, please email Prof. Wells () using the subject header STA 209: Introducing [Your Name] with your answers to the following questions:

  1. What is your preferred name? (and what are your pronouns, if you’d like to share?)
  2. What is your major (or intended major, if you haven’t declared)?
  3. Have you taken a statistics course previously? (no prior courses are necessary)
  4. Do you have any previous coding or programming experience? (no prior experience is necessary)
  5. During class, would you prefer to work on a classroom computer or on your personal laptop?
  6. What do you hope to take away from this course?
  7. What concerns do you have about this course, or about academics in general this term?
  8. What is one of your favorite non-academic activities / interests / hobbies?

Reading Assignment

Note that the listed reading assignments should be completed prior to class

Homework Assigned

Homework is due by 11:59pm on Friday

Supplementary Material

  • Here is a link to the Tampa Bay Times article on race and the Stand Your Ground defense from which today’s data was taken.

  • Here is an article by Jeff Witmer, who did some analysis on the TBT data.

  • Here is a short video (~4 min) further discussing the statistical phenomenon of Simpson’s Paradox that we observed in class today.

Wednesday 1-26

Lecture Slides

Topics

  • R and RStudio

  • Structure of Data

Announcements

Reading Assignment

Note that the listed reading assignments should be completed prior to class

Supplementary Material

  • Here is the complete Netflix dataset that was discussed in class today: Netflix.csv

  • This data set was obtained from the TidyTuesday project here.

  • TidyTuesday is a weekly data investigation project organized by a group of data scientists, with the purpose to practice and collaborate on data summarizing and arranging tasks.

Friday 1-28

Lecture Slides

Topics

  • The Grammar of Graphics

Announcements

Reading Assignment

Note that the listed reading assignments should be completed prior to class

  • Sections to Read Sections 2.1 and 2.2 in ModernDive

Homework Due

Homework is due by 11:59pm on Friday

  • Homework 1

Week 2

Monday 1-30

Lecture Slides

Topics

  • The Grammar of Graphics framework

  • The ggplot2 package

  • Exploring ggplot2: Scatterplots

Reading Assignment

Note that the listed reading assignments should be completed prior to class

  • Sections to Read Sections 2.3- 2.4 in ModernDive

Homework Assigned

Homework is due by 11:59pm on Friday

Wednesday 2-1

Lecture Slides

Topics

  • ggplot2 continued:

  • Line graphs, Histograms, Boxplots, Barcharts, and customization

Reading Assignment

Note that the listed reading assignments should be completed prior to class

  • Sections to Read Sections 2.5 - 2.9 in ModernDive

Friday 2-3

Lecture Slides

Topics

  • Exploring categorical and quantitative variables using summary statistics.

Reading Assignment

Note that the listed reading assignments should be completed prior to class

Homework Due

Homework is due by 11:59pm on Friday

  • Homework 2

Week 3

Monday 2-6

Lecture Slides

Topics

  • Data Wrangling: The verbs and the pipe

Reading Assignment

Note that the listed reading assignments should be completed prior to class

  • Sections to Read Sections 3.1 - 3.6 in ModernDive

Homework Assigned

Homework is due by 11:59pm on Friday

Wednesday 2-8

Topics

Reading Assignment

Note that the listed reading assignments should be completed prior to class

  • Sections to Read Sections 3.8, 3.9, 4.1, 4.2 in ModernDive

Friday 2-10

Lecture Slides

Topics

  • Principles of Data Collection: samples, surveys, and experiments

  • Common dplyr Errors

Reading Assignment

Note that the listed reading assignments should be completed prior to class

Homework Due

Homework is due by 11:59pm on Friday

  • Homework 3

Week 4

Monday 2-13

Lecture Notes

Topics

  • Correlation, Causation, Experiments, and Observational Studies

Reading Assignment

Note that the listed reading assignments should be completed prior to class

Homework Assigned

Homework is due by 11:59pm on Friday

Wednesday 2-15

Lecture Notes

Topics

  • Linear Models and the Least Squares Regression Line

Reading Assignment

Note that the listed reading assignments should be completed prior to class

Friday 2-17

Class Cancelled

Topics

  • More on linear modeling

Reading Assignment

Note that the listed reading assignments should be completed prior to class

  • Sections to Read Sections 5.1, 5.3 in ModernDive

Homework Due

Homework is due by 11:59pm on Friday

  • Homework 4 is due at 11:59pm on Monday, 2/20

Week 5

Monday 2-20

Topics

  • More on linear modeling

Reading Assignment

Note that the listed reading assignments should be completed prior to class

  • Sections to Read Sections 5.1, 5.3 in ModernDive

    • This is the same reading that was assigned for the previous Friday.

Homework Assigned

Homework is due by 11:59pm on Friday

Wednesday 2-22

Lecture Slides

Topics

  • Regression with categorical explanatory variables.

Reading Assignment

Note that the listed reading assignments should be completed prior to class

Friday 2-24

Lecture Slides

Topics

  • Multilinear Regression: One Categorical + One Quantitative Explanatory Variable

Reading Assignment

Note that the listed reading assignments should be completed prior to class

Homework Due

Homework is due by 11:59pm on Friday

  • Homework 5

Week 6

Monday 2-27

Lecture Slides

Topics

Reading Assignment

Note that the listed reading assignments should be completed prior to class

Homework Assigned

Homework is due by 11:59pm on Friday

Wednesday 3-1

Lecture Slides

Topics

  • Random Sampling

Reading Assignment

Note that the listed reading assignments should be completed prior to class

  • Sections to Read Sections 7.3, 7.5 in ModernDive

Friday 3-3

Topics

  • Review for Midterm 1

    • To familiarize yourself with time assignments in Gradescope, complete this “Practice with Timed Assigments” activity. Start by downloading this .Rmd template.. Then follow the instructions printed within the template. You will be directed to gradescope, where you can find a .pdf containing the text of the questions.
  • .Rmd file and .pdf file from in-class review

Reading Assignment

Note that the listed reading assignments should be completed prior to class

  • Sections to Read None

Week 7

Monday 3-6

Topics

  • In-class midterm exam.

Reading Assignment

Note that the listed reading assignments should be completed prior to class

  • Sections to Read None.

Homework Assigned

Homework is due by 11:59pm on Friday

  • No homework assigned this week.

Wednesday 3-8

Lecture Slides

Topics

Reading Assignment

Note that the listed reading assignments should be completed prior to class

  • Sections to Read Sections 8.1, 8.2 in ModernDive

Friday 3-10

Lecture Slides

Topics

  • Confidence Intervals

  • Interpreting Confidence Intervals

Reading Assignment

Note that the listed reading assignments should be completed prior to class


Week 8

Monday 3-13

Lecture Slides

Topics

  • Bootstrapping

  • Bootstrap Confidence Intervals

Reading Assignment

Note that the listed reading assignments should be completed prior to class

  • Sections to Read Sections 8.3, 8.4 in ModernDive

Homework Assigned

Homework is due by 11:59pm on Friday

Wednesday 3-15

Lecture Slides

Topics

  • Introduction to Hypothesis Testing

  • Interpreting P-values

Reading Assignment

Note that the listed reading assignments should be completed prior to class

Friday 3-17

[Lecture Slides]

Topics

Reading Assignment

Note that the listed reading assignments should be completed prior to class


Week 9

Monday 4-3

Lecture Slides

Topics

  • Statistical Significance

  • Decision Errors

  • Effect Size

Reading Assignment

Note that the listed reading assignments should be completed prior to class

Homework Assigned

Homework is due by 11:59pm on Friday

Wednesday 4-5

Lecture Slides

Topics

  • Using the infer package to perform hypothesis testing and create confidence intervals

Reading Assignment

Note that the listed reading assignments should be completed prior to class

  • Sections to Read Sections 8.4 and 9.3 in ModernDive

Friday 4-7

Lecture Slides

Topics

  • Probability Models

  • Conditional Probability

  • Bayes Rule

Reading Assignment

Note that the listed reading assignments should be completed prior to class


Week 10

Monday 4-10

Lecture Slides

Topics

  • Conditional Probability

  • Bayes Rule

  • Random Variables

Reading Assignment

Note that the listed reading assignments should be completed prior to class

Homework Assigned

Homework is due by 11:59pm on Friday

Wednesday 4-12

Lecture Slides

Topics

  • Continuous Random Variables

  • The Normal Distribution

  • The Central Limit Theorem

Reading Assignment

Note that the listed reading assignments should be completed prior to class

Friday 4-7

Topics

  • Midterm Review

Reading Assignment

Note that the listed reading assignments should be completed prior to class

  • Sections to Read: None

Week 11

Monday 4-17

Topics

  • Midterm 2

Reading Assignment

Note that the listed reading assignments should be completed prior to class

  • Sections to Read

    • None

Homework Assigned

Homework is due by 11:59pm on Friday

  • None

Wednesday 4-19

Lecture Slides

Topics

  • The Central Limit Theorem

  • Inference for Proportions

Reading Assignment

Note that the listed reading assignments should be completed prior to class

Friday 4-21

Lecture Slides

Topics

  • Inference comparing two proportions

Reading Assignment

Note that the listed reading assignments should be completed prior to class


Week 12

Monday 4-24

Lecture Slides

Topics

  • Inference for a population mean

Reading Assignment

Note that the listed reading assignments should be completed prior to class

Homework Assigned

Homework is due by 11:59pm on Friday

Wednesday 4-26

No Class; Working Differently Day

Friday 4-28

Lecture Slides

Topics

  • Inference comparing two means

Reading Assignment

Note that the listed reading assignments should be completed prior to class


Week 13

Monday 5-1

Lecture Slides

Notes on Elements of Statistical Investigations

Topics

  • Hypothesis Tests for Difference in Means

  • Paired vs Independent Samples

  • Review of Confidence Interval and Hypothesis Test Procedures

Reading Assignment

Note that the listed reading assignments should be completed prior to class

Homework Assigned

Homework is due by 11:59pm on Friday

Wednesday 5-3

Lecture Slides

Topics

  • Chi-Squared Test for Goodness-of-Fit

  • Chi-Squared Test for Independence

Reading Assignment

Note that the listed reading assignments should be completed prior to class

Friday 5-5

Lecture Slides

Topics

  • ANOVA Test for Differences in Means Among Many Groups

Reading Assignment

Note that the listed reading assignments should be completed prior to class


Week 14

Monday 5-8

Lecture Slides

Topics

  • Inference for Regression

Reading Assignment

Note that the listed reading assignments should be completed prior to class

Homework Assigned

Homework is due by 11:59pm on Friday

Wednesday 5-10

Lecture Slides

Topics

  • Inference for Multilinear Models

Reading Assignment

Note that the listed reading assignments should be completed prior to class

Friday 5-12

Lecture Slides

Topics

  • Review for Final

Reading Assignment

Note that the listed reading assignments should be completed prior to class

  • Sections to Read:

    • None