Schedule and Textbooks Information


Fall 2017 Schedule and Textbook Information for STAT 113

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STAT 113 - Texbook(s) for Fall 2017

CRN Title Author ISBN Version Req/Opt
10952Statistics: Concepts and ControversiesDavid S. Moore97814641929379Y
29092Statistics: Concepts and ControversiesDavid S. Moore97814641929379Y
59172Statistics: Concepts and ControversiesDavid S. Moore97814641929379Y
64657Statistics: Concepts and ControversiesDavid S. Moore97814641929379Y
67272Statistics: Concepts and ControversiesDavid S. Moore97814641929379Y


STAT 113 - Schedule information for Fall 2017

CRN Section Instructor Day Time Room
67272037Ellen GundlachTR08:30-09:20amPHYS 114
29092002Ellen GundlachTR09:30-10:20amPHYS 114
10952040Ellen GundlachR12:00-1:15pmWALC 3090
29124024Peiyi ZhangM08:30-09:20amMATH 215
29102028Ching-Wei ChengM11:30am-12:20pmBRNG 1206
29120027Hanxi SunM08:30-09:20amBRNG 1248
62094033Jincheng BaiM1:30-2:20pmBRNG B243
11834904Peiyi ZhangM07:30-08:20amREC 314
29111019Ching-Wei ChengM10:30-11:20amBRNG 1206
11832903Jincheng BaiM07:30-08:20amBRNG 1206
29115022Evidence MatangiM1:30-2:20pmPSYC 3102
29099017Bing YuM3:30-4:20pmREC 117
10953041Yang YuM4:30-5:20pmARMS 3109
29125004Evidence MatangiM12:30-1:20pmPSYC 3102
62093032Bing YuM4:30-5:20pmREC 117
29101021Yang YuM2:30-3:20pmARMS 3109
29105023Evidence MatangiM11:30am-12:20pmPSYC 3102
64297036Hanxi SunM09:30-10:20amBRNG 1248
12535038Bing YuM2:30-3:20pmREC 116
29108016Yang YuM3:30-4:20pmARMS 3109
11827902Jincheng BaiM09:30-10:20amBRNG 1206
29103029Peiyi ZhangM10:30-11:20amBRNG 1248
29110020Ching-Wei ChengM07:30-08:20amSC 114
10961042Hanxi SunM07:30-08:20amBRNG 1248
11826901Jincheng BaiM08:30-09:20amBRNG 1206

STAT 113 - Course Outline

  1. Collecting Data

    1. 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.


    2. Design of experiments: randomized comparative experiments; blocking and other elaborations; ethics of experimentation on human subjects.
      Applications: medical experiments, social policy experiments.


    3. Measurement: bias, reliability and validity; scales of measurement; good and bad data.
      Applications: measuring unemployment, critiquing the use of data in persuasion.


  2. Organizing and Describing Data

    1. Tables and graphs: bivariate frequency tables; common graphs and their abuses; frequency distributions; the normal distributions.


    2. 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.


    3. Index numbers and related topics: index numbers, interpretation of time series data.
      Applications: The Consumer Price Index; national economic indicators; social indicators.


  3. Formal Statistical Reasoning

    1. Probability: what is probability; simulation using random digits; expected values and the law of large numbers.
      Applications: state lotteries.


    2. Confidence intervals: basic ideas, simulations.
      Applications: return to opinion polling.
Last Updated: Oct 10, 2017 11:37 AM

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