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Schedule and Textbooks Information

Spring 2023 Schedule and Textbook Information for STAT 113


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STAT 113 - Textbook(s) for Spring 2023

ALLConcepts and ControversiesDavid S. Moore, William Notz978131910902810thY

STAT 113 - Schedule information for Spring 2023

16948205Cheryl Crabill0:0-0:0amASYNC ONLINE
27712100Cheryl CrabillTR10:30-11:20amMTHW 210
27713200Cheryl CrabillTR08:30-09:20amMATH 175
15849203Evan LiM3:30-4:20pmSCHM 314
27725093Phalguni NandaM11:30am-12:20pmSCHM 103
27721082Phalguni NandaM09:30-10:20amSCHM 103
27723052Phalguni NandaM08:30-09:20amSCHM 103
27728033Ziyi WangM10:30-11:20amSCHM 314
15850204Ziyi WangM11:30am-12:20pmSCHM 314
15847201Ziyi WangM2:30-3:20pmSCHM 103
52986072Evan LiM2:30-3:20pmSCHM 314
36934032Evan LiM12:30-1:20pmSCHM 314
27717083Daniel CardonaM10:30-11:20amSCHM 103
27735001Wenjie LiM4:30-5:20pmSCHM 103
27737002Wenjie LiM3:30-4:20pmSCHM 103
15848202Wenjie LiM1:30-2:20pmSCHM 314
27732062Daniel CardonaM12:30-1:20pmSCHM 103
27742091Daniel CardonaM1:30-2:20pmSCHM 103

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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