Instructor: Paul J. Smith, Statistics Program
Textbook: Thompson, S. K. (1999). Sampling (3rd ed.). Hoboken, NJ: J. Wiley.
Prerequisites: At least one semester of statistics, preferably STAT 401 or STAT 420.
Course Description:
Sampling refers to the statistical techniques used in political polls, marketing surveys, federal data gathering, environmental surveys and many other areas of social science and public health.
This course provides an introduction to methods of sampling and analyzing data from finite populations from both a theoretical and applied perspective. It is intended for Statistics and Mathematics students interested in applications and students in the Applied Statistics track of the Survey Methodology program, as well as students in disciplines such as business, life science or social science who need sampling in their research.
We will use the computer package R throughout the course, both to analyze real data and to illustrate statistical principles using simulation.
The mathematics used in the course is not deep, but it can be intricate. It is essential that you understand basic probability and statistical concepts such as point estimation, confidence limits, regression and the central limit theorem.STAT 440 is part of the required material for the Written Examinations in Applied Statistics.
Topics:
References:
Cochran, W. J. (1977). Sampling Techniques (3rd. ed.). New York: J. Wiley.
Dalgaard, P. (2008). Introductory Statistics with R (2nd. ed.). New York: Springer
Lohr, S. L. (2019). Sampling: Design and Analysis (2nd ed.). Chapman & Hall/CRC Press.
Sarndal, C.-E., Swensson, B., and Wretman, J. (1992). Model Assisted Survey Sampling. New York: Springer.
Spector, P. (2008). Data Manipulation with R. New York: Springer.
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