Schedule and Textbooks Information
Fall 2023 Schedule and Textbook Information for STAT 113
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STAT 113 - Texbook(s) for Fall 2023
CRN | Title | Author | ISBN | Version | Req/Opt |
---|---|---|---|---|---|
ALL | Concepts and Controversies | David S. Moore, William Notz | 9781319109028 | 10th | Y |
STAT 113 - Schedule information for Fall 2023
CRN | Section | Instructor | Day | Time | Room |
---|---|---|---|---|---|
59172 | Y01 | Cheryl Crabill | 0:0-0:0am | ASYNC ONLINE | |
29092 | 002 | Cheryl Crabill | TR | 10:30-11:20am | MATH 175 |
67272 | 037 | Cheryl Crabill | TR | 11:30am-12:20pm | MATH 175 |
62094 | 033 | Wen-Hung Wang | M | 4:30-5:20pm | UNIV 017 |
29105 | 023 | Phalguni Nanda | M | 1:30-2:20pm | LILY 3418 |
29124 | 024 | Phalguni Nanda | M | 08:30-09:20am | UNIV 017 |
10953 | 041 | Phalguni Nanda | M | 11:30am-12:20pm | GRIS 133 |
12535 | 038 | Yi Chu | M | 1:30-2:20pm | UNIV 017 |
29110 | 020 | Yi Chu | M | 09:30-10:20am | UNIV 017 |
29120 | 027 | Yi Chu | M | 10:30-11:20am | UNIV 017 |
64297 | 036 | Wen-Hung Wang | M | 3:30-4:20pm | UNIV 017 |
29103 | 029 | Wen-Hung Wang | M | 2:30-3:20pm | UNIV 017 |
29115 | 022 | Xiaochen Yang | M | 12:30-1:20pm | UNIV 017 |
29108 | 016 | Ziyi Wang | M | 10:30-11:20am | LILY 3418 |
29099 | 017 | Ziyi Wang | M | 12:30-1:20pm | LILY 3418 |
29125 | 004 | Ziyi Wang | M | 2:30-3:20pm | LILY 3418 |
10961 | 042 | Xiaochen Yang | M | 11:30am-12:20pm | UNIV 017 |
29101 | 021 | Xiaochen Yang | M | 09:30-10:20am | GRIS 133 |
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.