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Schedule and Textbooks Information


Fall 2022 Schedule and Textbook Information for STAT 113

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STAT 113 - Textbook(s) for Fall 2022

CRNTitleAuthorISBNVersionReq/Opt
ALLStatistics: Concepts and ControversiesDavid S. Moore,William I. Notz978131910902810th Y


STAT 113 - Schedule information for Fall 2022

CRNSectionInstructorDayTimeRoom
59172Y01Cheryl Crabill0:0-0:0amASYNC ONLINE
29092002Cheryl CrabillTR10:30-11:20amLILY G126
67272037Cheryl CrabillTR11:30am-12:20pmLILY G126
10953041Wenjie LiM1:30-2:20pmREC 314
29103029Phalguni NandaM12:30-1:20pmREC 314
24832064Phalguni NandaM11:30am-12:20pmREC 314
29110020Phalguni NandaM4:30-5:20pmREC 314
10961042Ziyi WangM3:30-4:20pmREC 116
29115022Ziyi WangM10:30-11:20amREC 314
24829063Ziyi WangM4:30-5:20pmREC 116
29125004Mudit GaurM08:30-09:20amREC 314
12535038Mudit GaurM09:30-10:20amREC 314
29124024Mudit GaurM2:30-3:20pmREC 116
29099017Wenjie LiM10:30-11:20amREC 116
29120027Daniel CardonaM1:30-2:20pmREC 116
62094033Wenjie LiM2:30-3:20pmREC 314
64297036Xinyi PeiM08:30-09:20amREC 116
24828062Xinyi PeiM09:30-10:20amREC 116
29105023Xinyi PeiM11:30am-12:20pmREC 116
29108016Daniel CardonaM3:30-4:20pmREC 314
29101021Daniel CardonaM12:30-1:20pmREC 116

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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