Schedule and Textbooks Information

Spring 2018 Schedule and Textbook Information for STAT 113


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STAT 113 - Texbook(s) for Spring 2018

CRN Title Author ISBN Version Req/Opt
10322Statistics: Concepts and ControversiesDavid S. Moore97814641929379Y
27712Statistics: Concepts and ControversiesDavid S. Moore97814641929379Y
27713Statistics: Concepts and ControversiesDavid S. Moore97814641929379Y
60331Statistics: Concepts and ControversiesDavid S. Moore97814641929379Y
60332Statistics: Concepts and ControversiesDavid S. Moore97814641929379Y

STAT 113 - Schedule information for Spring 2018

CRN Section Instructor Day Time Room
27713200Ellen GundlachTR09:30-10:20amWALC 1055
10322900Ellen GundlachR12:00-1:15pmWALC 2051
27712100Ellen GundlachTR08:30-09:20amWALC 1055
36934032Ching-Wei ChengM09:30-10:20amBRNG 1206
52986072Yang YuM2:30-3:20pmUNIV 319
27717083Hao XinM08:30-09:20amUNIV 319
27735001Evidence MatangiM2:30-3:20pmBRNG 1206
27728033Yang YuM1:30-2:20pmUNIV 319
15847201Hao XinM07:30-08:20amUNIV 319
27737002Evidence MatangiM4:30-5:20pmREC 116
27721082Hanxi SunM4:30-5:20pmUNIV 319
15851205Evidence MatangiM1:30-2:20pmBRNG 1206
27738013Hanxi SunM3:30-4:20pmUNIV 319
27718081Jincheng BaiM11:30am-12:20pmPSYC 3102
27742091Hanxi SunM07:30-08:20amSC 114
27723052Jincheng BaiM07:30-08:20amBRNG 1206
15848202Yueyun ZhangM09:30-10:20amUNIV 319
15850204Ching-Wei ChengM10:30-11:20amBRNG 1206
15849203Jincheng BaiM12:30-1:20pmPSYC 3102
52985051Yueyun ZhangM07:30-08:20amKRAN G021
27732062Ching-Wei ChengM11:30am-12:20pmBRNG 1206
27720071Yang YuM4:30-5:20pmPSYC 3102
27725093Yueyun ZhangM12:30-1:20pmBRNG 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.

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