Instructor: Dr. Frank Tutzauer (comfrank@acsu.buffalo.edu)
This course is designed to introduce the Social Sciences graduate student to the quantitative analysis of data.
Although a familiarity with computers and with certain mathematical and statistical ideas will be helpful, none
is assumed.
We will begin with certain mathematical fundamentals. Then we will move to a discussion of data and variables,
followed by computers and SPSS, probability, and descriptive and inferential statistics. Throughout, we will see
how various data-analytical problems can be solved using SPSS. A course outline is presented below, but it is tentative.
We may add or delete topics as time allows or requires.
Grading will be based on two exams and a variety of take-home and lab assignments. The assignments, taken collectively,
will be worth a third of the grade, as will each of the exams. Plagiarism, defined as repeating the words or ideas
of another as though they were your own, and all other forms of academic dishonesty are expressly prohibited and
will be punished with the severest penalties possible.
Readings:
Tentative Course Schedule:
Week | Topic | Readings | |
DONE | Mathematical Fundamentals | ||
DONE | Sets and numbers | ||
DONE | Functions | ||
DONE | Descriptive Statistics | WW ch 1-2 | |
DONE | Variables (informal) | ||
DONE | Populations and samples | ||
DONE | Levels of measurement | ||
DONE | Histograms and cross-tabulations | ||
DONE | Measures of central tendency | ||
DONE | Measures of dispersion | ||
DONE | Intro to SPSS | ||
DONE | Probability | WW ch 3 | |
DONE | Basic notions | ||
SKIPPED | Conditional probability | ||
DONE | Random variables | ||
DONE | Probability distributions | ||
DONE | Inferential statistics | WW ch 4, 9 | |
DONE | Binomial distributions | ||
DONE | Tests of proportions | ||
DONE | Type I and type II error | ||
DONE | Normal distributions | ||
DONE | Central limit theorem | WW ch 6, 8 | |
DONE | z- and t-tests | ||
DONE | Confidence intervals | ||
Relationships | |||
Analysis of variance (ANOVA) | WW ch 10 | ||
Scatterplots, covariance, and correlation | |||
Regression | WW ch 11-13, 15 | ||
Cross-tabulation and log-linear analysis | WW ch 17 |