Schedule and Textbooks Information

Fall 2017 Schedule and Textbook Information for STAT 113


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

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.