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Schedule and Textbooks Information

Fall 2023 Schedule and Textbook Information for STAT 113


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STAT 113 - Texbook(s) for Fall 2023

ALLConcepts and ControversiesDavid S. Moore, William Notz978131910902810thY

STAT 113 - Schedule information for Fall 2023

59172Y01Cheryl Crabill0:0-0:0amASYNC ONLINE
29092002Cheryl CrabillTR10:30-11:20amMATH 175
67272037Cheryl CrabillTR11:30am-12:20pmMATH 175
62094033Wen-Hung WangM4:30-5:20pmUNIV 017
29105023Phalguni NandaM1:30-2:20pmLILY 3418
29124024Phalguni NandaM08:30-09:20amUNIV 017
10953041Phalguni NandaM11:30am-12:20pmGRIS 133
12535038Yi ChuM1:30-2:20pmUNIV 017
29110020Yi ChuM09:30-10:20amUNIV 017
29120027Yi ChuM10:30-11:20amUNIV 017
64297036Wen-Hung WangM3:30-4:20pmUNIV 017
29103029Wen-Hung WangM2:30-3:20pmUNIV 017
29115022Xiaochen YangM12:30-1:20pmUNIV 017
29108016Ziyi WangM10:30-11:20amLILY 3418
29099017Ziyi WangM12:30-1:20pmLILY 3418
29125004Ziyi WangM2:30-3:20pmLILY 3418
10961042Xiaochen YangM11:30am-12:20pmUNIV 017
29101021Xiaochen YangM09:30-10:20amGRIS 133

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.

Purdue Department of Statistics, 150 N. University St, West Lafayette, IN 47907

Phone: (765) 494-6030, Fax: (765) 494-0558

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