Schedule and Textbooks Information
Fall 2019 Schedule and Textbook Information for STAT 113
DISCLAIMER:
We believe the information about textbooks to be accurate, but the Purdue University Bookstores are the official source of information on textbooks. Please check with them for verification before purchasing texts for a specific academic semester or session.
STAT 113 - Textbook(s) for Fall 2019
Textbook information is not available at this time.
STAT 113 - Schedule information for Fall 2019
Schedule information is not available at this time.
STAT 113 - Course Outline
- Collecting Data
- Sampling: random samples; use of tables of random digits; sources of bias in sampling human populations; multistage and stratified samples; random selection as public policy.
Applications: Opinion polling, TV ratings, government economic and social statistics. - Design of experiments: randomized comparative experiments; blocking and other elaborations; ethics of experimentation on human subjects.
Applications: medical experiments, social policy experiments. - Measurement: bias, reliability and validity; scales of measurement; good and bad data.
Applications: measuring unemployment, critiquing the use of data in persuasion.
- Sampling: random samples; use of tables of random digits; sources of bias in sampling human populations; multistage and stratified samples; random selection as public policy.
- Organizing and Describing Data
- Tables and graphs: bivariate frequency tables; common graphs and their abuses; frequency distributions; the normal distributions.
- Numerical summary measures: mean, median, mode; percentiles and boxplots; standard deviation and variance; correlation and regression; the question of causation.
Applications: smoking and health, standardized tests as predictors. - Index numbers and related topics: index numbers, interpretation of time series data.
Applications: The Consumer Price Index; national economic indicators; social indicators.
- Formal Statistical Reasoning
- Probability: what is probability; simulation using random digits; expected values and the law of large numbers.
Applications: state lotteries. - Confidence intervals: basic ideas, simulations.
Applications: return to opinion polling.
- Probability: what is probability; simulation using random digits; expected values and the law of large numbers.