Textbook: Introduction to Modern Statistics | Textbook: Advanced Data Analysis I |

The material presented here is based on notes from my colleague Dr. Erik Erhardt, who has taught this course for many years. Since he is on sabbatical this academic year, I am taking over his class and have posted all of his notes on my website. I have modified some parts of the first couple classes and will continue to make occasional adjustments before class.

Advanced Data Analysis I - Timetable

Date Class Chapter Videos and Tutorials Exercises, Worksheets, Labs, and Data
Week 1

08/18 Mon		 00
Install Software
  • R:
    Windows: Download
    Mac: Download
  • RStudio: Integrated development environment for R.
    Download RStudio Desktop
    Installation guides:
    – Video: Windows
    – Video: Mac
  • Quarto: Open-source publishing system.
    Documentation & install: quarto.org/docs/get-started
    With Quarto, you can combine text, R code, and LaTeX math into documents, then render to Word, HTML, or PDF.
  • TinyTeX: Lightweight \(\LaTeX\) distribution (needed to render PDFs directly by Quarto).
    Two steps in R: 
    install.packages("tinytex")
    tinytex::install_tinytex()
    More info: TinyTeX website
  • You are responsible to read the entire chapter (unless otherwise noted).
  • Videos and Tutorials are available to help with most material.
    • Videos will specify sections or topics covered.
    • Tutorials are best done at the end of each chapter.
 Key:
  • Due date (F = Friday, M = Monday)
  • Exercises from the current chapter under “Chapter” column.
08/19 Tue 01
Part 1: Introduction to Data
  • Due F 08/22
  • Exercises Ch 01
    • Practice: 1, 2, 3, 5, 9 (ignore rows above ellipsis “…”), 13, 17
    • Turn in: 10, 14, 20
08/21 Thu 02
  • Due M 08/25
  • Worksheet: Medical records
    • qmd html
    • Download qmd file to your computer, open in RStudio, edit it, print HTML to pdf, turn in assignment by Monday 11:50 to UNM Canvas.
    • Video: CL02Medical
    		•
    Week 2

    08/26 Tue    		 03
    08/28 Thu 04
    • Due T 09/02
    • Homework: Study Design and Sampling
    Week 3

    09/02 Tue    		 05
    • Due F 09/05
    • Quiz: Ch 04
      • Practice: 1, 3, 5
      • Turn in: 2, 6
    09/04 Thu 06
    • Due M 09/08
    • Quiz: Ch 05
      • Practice: 3, 5, 13, 15, 19, 21, 23, 25
      • Turn in: 10, 12, 14, 16, 26
    Week 4

    09/09 Tue    		 07
    09/11 Thu 08 Spurious Correlations
    Week 5

    09/16 Tue    		 09
    • Continued
    • Due F 09/19
    • Quiz: Ch 07
      • Practice: 15, 17, 19, 23, 25, 31
      • Turn in: 18, 20, 22, 24, 28
    09/18 Thu 10
    • Correlation and Logarithmic transformation
    • Due M 09/22
    • Homework: Logarithmic Transformation
    Week 6

    09/23 Tue    		 11
    • Due F 09/26
    • Quiz: Ch 08
      • Practice:1, 3, 7, 11, 13, 15
      • Turn in: 8, 12, 14, 16
    09/25 Thu 12
    Week 7

    09/30 Tue    		 13
    • Due F 10/03
    • Quiz: Ch 09
      • Practice: 1, 3, 5, 7
      • Turn in: 2, 4, 8
    10/02 Thu 14
    • Due M 10/06
    • Homework: Logistic regression
      • qmd html dat
      • Video: CL14
      • (it’s ok, it refers to CL28 from a previous semester)
    Week 8

    10/07 Tue    		 15
    • Due M 10/13
    • Quiz: Ch 11
      • Practice: 1, 3, 5, 7
      • Turn in: 2, 4, 6, 8
    10/09 Thu Fall Break Note that the next three assignments (CL 15, 16, and 17) are shifted one class later than the chapter content. This is to account for Fall Break and not interfere with actually enjoying a break!
    Week 9

    10/14 Tue    		 16
    • Due F 10/17
    • Quiz: Ch 12
      • Practice: 1, 7
      • Turn in: 4, 8
    • Homework: Hypothesis testing with randomization
      • CL 15: qmd html
      • Video: CL15
      • (1 class behind schedule)
    10/16 Thu 17
    • Due M 10/20
    • Quiz: Ch 13
      • Practice: 11, 13, 15
      • Turn in: 12, 14, 16
    • Homework: Confidence intervals with bootstrapping
      • CL 16: qmd html
      • Video: CL16
      • (1 class behind schedule)
    Week 10

    10/21 Tue    		 18
    • Due F 10/24
    • Quiz: Ch 14
      • Practice: 1, 5
      • Turn in: 2, 3 (yes, odd), 6
    • Homework: Sampling distributions
    • Due M 10/27
      • Ch 17: qmd html
      • Video: CL17
      • (1 class behind schedule)
    10/23 Thu 19
    • Due F 10/31
    • Quiz: Ch 16
      • Practice: 3, 7, 13, 15, 19, 27
      • Turn in: 4, 8, 14, 16, 20, 28
    • Quiz: Ch 17
      • Practice: 7, 13, 21
      • Turn in: 8, 14, 22
    • Homework: Proportion inference and hypothesis testing
    • Due M 11/03
    Week 12

    11/04 Tue    		 20
    • Due F 11/07
    • Quiz: Ch 18
      • Practice: 13, 15
      • Turn in: 14, 16
    • Homework: One- and two-way tables
    11/06 Thu 21  
    • Due M 11/10
    • Quiz: Ch 19
      • Practice: 1, 4, 13, 15
      • Turn in: 2, 12, 16
    • Homework: Mean inference and hypothesis testing
      • qmd html dat
      • Video: CL21
      • (Video from a previous semester, time 0:00 – 25:00.)
    Week 13

    11/11 Tue    		 22
    • Due F 11/14
    • Quiz: Ch 20
      • Practice: 3, 7, 17, 19
      • Turn in: 4, 10, 12, 20
    • Quiz: Ch 21
      • Practice: 3, 9, 16
      • Turn in: 4, 10, 17
    • Homework: Two means inference and hypothesis testing
    • Due M 11/17
      • qmd html dat
      • Video: CL22
      • (Video from a previous semester, time 27:00 – end.)
    11/13 Thu 23
    • Due M 11/17
    • Quiz: Ch 22
      • Practice: 3, 5, 9, 11
      • Turn in: 6, 12, 14
    • Homework: start on CL23 in Class 24 below
    Week 14

    11/18 Tue    		 24
    • In the Worksheet Video CL23, I demonstrate the use of pairwise comparisons as seen in ADA 5.2 and 5.3
    • Due F 11/21
    • Homework: ANOVA, Pairwise comparisons
    11/20 Thu 25
    • Due M 11/24
    • Quiz: Ch 24
      • Practice: 1, 2, 15, 16
      • Turn in: 3, 4, 17
    • Homework: start on CL25 in Class 26 below
    Week 15

    11/25 Tue    		 26


    • Due M 12/01
    • Quiz: Ch 25
      • Practice: 1, 2, 7
      • Turn in: 3, 4, 6
    • Homework: start on CL27 below
    Week 16
    12/02 Tue    		 27
    • Continued

    • Due F 12/05
    • Homework: Multiple regression, introduction
    12/04 Thu 28
    • Video Sec 26
    • ROC
    • EvalKit course evaluation: print to pdf of your email confirmation that you’ve completed the EvaluationKIt Survey and upload that to UNM Canvas. (Due T 12/06)
    ● Self-practice, no submission
    • Quiz: Ch 26
      • Practice: 1, 3, 7
      • Turn in: 4, 5, 6
    • Homework: Logistic regression, prediction
    Week 17

    12/09 Tue    		 Finals week No final Congratulations on a great semester!
    Design Mode...