Introduction to Quantitative Data Analysis
- Formulas
- Tables
- Assignment #1
- Assignment #2
- Assignment #3
- Extra homework, pre-midterm
- Midterm, Autumn 2004 (questions)
- Midterm, Autumn 2004 (answers)
- Midterm, Winter 2005 (questions)
- Midterm, Winter 2005 (answers)
- Midterm, Autumn 2005 (questions)
- Midterm, Autumn 2005 (answers)
- Assignment #4
- Assignment #5
- Extra homework, pre-final
- Practice problems for final
- Grading formula
Couse Notes
- Introduction
- Lab 0
- Lecture 1
- Lecture 2
- Lecture 3
- Lecture 4
- Lecture 5
- Article on mean, median, mode, and skew
- Handout on repeated sampling
- Lecture 6
- Lecture 7
- Lecture 8
- Lecture 9
- Article on polling
- Midterm review
- Lecture 10
- Lecture 11
- Lecture 12
- Lecture 13
- Lecture 14
- Lecture 15
- Final review
Data Download
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Statistics may the most marketable skills that you will acquire as a sociology major. As we will demonstrate throughout the quarter, statistics are used in police work, fraud investigations, marketing and social research. The software you use in this course—Excel and SPSS—is often mentioned in job ads on monster.com and elsewhere.
Statistics are also essential for following current events. The news is full of good and bad uses of statistical evidence, and full of stories where statistics aren’t used but would be relevant. We’ll teach you to read the news critically, by learning sharp ways to ask the following questions:
- What’s typical?
- How much variety is there?
- Who exactly are we talking about?
- How certain are we?
- Compared to what?
email Paul von Hippel