201
Statistics and Public Policy
202
Introduction to Statistics
210
Introductory Statistics for the Social
Sciences
325
Survey Sampling
338
History of Statistics
344
Statistical Computing
345
Statistical Demography
350
Regression Analysis
351
Design and Analysis of Experiments
352
Nonparametric Statistical Methods
355
Analysis of Qualitative Data
359
Topics in Statistics
201
Statistics and Public Policy
Basic statistical concepts and techniques
introduced via case studies of
interesting public policy issues. The
cases illustrate methods of data
collection and analysis.
202
Introduction to Statistics
Data collection, summarization,
correlation, regression, probability,
sampling, estimation, tests of
significance. Does not require calculus
and makes minimal use of mathematics.
210
Introductory Statistics for the Social
Sciences
Introduction to basic concepts and
methods of statistics and probability.
Methods of data collection, descriptive
statistics, probability, estimation,
sampling distributions, confidence
intervals, hypothesis testing. Contact Econ regarding this class, obtaining permission numbers, all TA information, etc. Their information:
Economics
econ@northwestern.edu
847-491-5140
325 Survey
Sampling
Probability sampling, simple random sampling, error estimation,
determination of sample size, stratification, systematic sampling,
replication and pseudo- replication methods, ratio and regression
estimation, cluster sampling, multiphase sampling, and nonsampling
errors.
338 History
of Statistics
Historical survey of the development of modern statistics,
from Bernoulli’s law of large numbers to the contributions
of R.A. Fisher. Prerequisite: IEMS 304 or equivalent
344 Statistical
Computing
Exploration of the theoretical and practical problems in the
development and use of statistical computing systems for numerical
and graphical analysis of data. Prerequisite: Permission of
the instructor.
345
Statistical Demography
Self contained introduction to statistical theory of demographic
rates (births, deaths, migration) in multi-state setting;
statistical model underlying formal demography; analysis of
error in demographic forecasting. Prerequisite: MATH 217;
STAT 320 or equivalent
350
Regression Analysis
Development of statistical techniques for linear regression,
with an emphasis on applications to empirical data. Least-squares
methods, confidence intervals, tests of hypotheses, measurement
of association, and residual analysis. Criteria and methods
of model selection. Computational and inferential procedures
for nonlinear regression. Use of computer packages is emphasized
throughout the course.
Top
351
Design and Analysis of Experiments
Methods of designing experiments and analyzing data obtained
from them: one-way and two-way layouts, incomplete block designs,
Latin squares, Youden squares, factorial and fractional factorial
designs, random-effects and mixed-effects models, and split-plot
and nested designs.
352
Nonparametric Statistical Methods
A survey of nonparametric methods with
emphasis on their theoretical rationale,
basic properties, and typical
applications. Topics include the sign,
Mann-Whitney, Wilcoxon signed rank, rank
correlation, Kruskal-Wallis, and Friedman
tests.
355
Analysis of Qualitative Data
An introduction to the analysis of qualitative data with emphasis
on the use of log-linear models. Topics include polytomous
responses, two-way tables, multiway tables, logits, multinomial
responses, incomplete tables, symmetric tables, adjustment
techniques, and latent-class models.
359
Topics in Statistics
Topics in theoretical and applied
statistics, to be chosen by the
instructor. This course may be taken more
than once for credit. Recent topics
courses include Statistical Methods in
Epidemiology, Statistical Computing, and
Applied Multivariate Analysis.
