1|COURSE OVERVIEW

Overview

• Textbook
• Lectures
• Recitation
• Exams
• Other stuff

About me

• Dr. Rob Brotherton

• Northern Irish

• Research: Political psychology / conspiracy beliefs

Textbook

• Learning Statistics with R
  • By Danielle Navarro
  • Download as a .pdf for free
  • learningstatisticswithr.com
  • Helpful for seeing how things are done in R
  • As well as explaining statistical concepts

Lectures

Panopto

• In-lecture quizzes
• Navigation
• Subtitles
• Also: Class notes Google Doc

Topics

• Basic issues:
  • Terminology, variables & measurement
• Descriptive statistics:
  • Frequency, central tendency, variability, z-scores
• Inferential statistics:
  • Probability, sampling; hypothesis testing
  • \(t\)-tests; ANOVA; Correlation & regression
• Logical progression

Exams

• 3 multiple choice exams
  • Multiple choice
  • 60 minutes
  • Only lecture material, not R
  • Non-cumulative
  • Except inasmuch as later concepts rely on ones introduced earlier
• Some questions will involve sums, but only simple ones you can do on paper

Recitation

R problem sets

• Practical application of stats to data
  • Using RStudio Cloud
  • Show code; how you worked out answers
  • Work on .qmd in RStudio Cloud
  • Upload rendered .pdf to Canvas

Grading

• Wrong answers ≠ lower grade
  • 0, 1, or 2 points
  • 0 = No submission, 1 = Incomplete, 2 = Valid attempt
  • Deadline: End of recitation

# comment your R code to show thought process

# e.g. here I'm adding 2 and 2
2 + 2 

[1] 4

Final grades

• 50% Exams
• 30% Problem Sets
• 20% Participation

Other stuff

Math

• Statistics requires basic math skills

• E.g. order of operations

  1. Parentheses
  2. Exponents (like squaring/square root)
  3. Multiplication & division
  4. Summation
  5. Addition & subtraction

Math

• Summation
  • Symbol \(\Sigma\) (Greek letter Sigma) means add up
  • Summation is done after operations in parentheses, squaring, and multiplication or division, but before other addition or subtraction
  • E.g… \(X = [2, 4, 7]\)

\(\Sigma X = ?\)

\(\Sigma X + 1 = ?\)

\(\Sigma(X + 1) = ?\)

Math

• Algebra
  • Rearranging equations
  • E.g.

\[\begin{align}12 &= 7 + X \\ X &= ? \end{align}\]

• Disadvantages
  • A little tricky to begin with
• Advantages
  • Free
  • Can do stuff other stats software can’t
  • Reproducible analyses
  • Pretty graphs
  • Feel like a super cool hacker
  • Pirate jokes
  • Good for your career

Lastly

• Check Canvas & email regularly
• Let me know about problems

w = 1050
h = w/2

cover = {

  const svg = d3.select("#cover-image")
    .append("svg")
    .attr("width", w)
    .attr("height", h)
    .style("transform", "scaleY(-1)")
    
  const g = svg.append("g")
  
  g
    .selectAll("rect")
    .data(data)
    .enter()
      .append("rect")
      .attr("fill", "black")
        .attr("x", function(d, i){return 5 + i*(w/10)})
        .attr("y", 0)
        .attr("height", 0)
        .attr("width", w/10 - 10)
        .attr("fill", d => d.color)
          .transition()
          .duration(d => d.duration)
          .delay(d => d.delay)
          .attr("height", d => d.value * 26)
  

 
 return svg.node()
}