Stat 113: Statistics and Society (Banner Course Number: 11300)
DISCLAIMER:
We believe the information about textbooks to be accurate but the campus 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.Fall 2009 textbook is:
Moore and Notz, Statistics: Concepts and Controversies, updated 7th Edition, Required
Spring 2010 textbook will be:
Moore and Notz, Statistics: Concepts and Controversies, 7th Edition, Required
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.
