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Schedule and Textbooks Information


Fall 2020 Schedule and Textbook Information for STAT 113

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STAT 113 - Textbook(s) for Fall 2020

CRNTitleAuthorISBNVersionReq/Opt
25877Statistics Concepts and ControversiesDavid S. Moore, William I. Notz978131910902810thY
27597Statistics Concepts and ControversiesDavid S. Moore, William I. Notz978131910902810thY
29092Statistics Concepts and ControversiesDavid S. Moore, William I. Notz978131910902810thY
59172Statistics Concepts and ControversiesDavid S. Moore, William I. Notz978131910902810thY
64657Statistics Concepts and ControversiesDavid S. Moore, William I. Notz978131910902810thY
67272Statistics Concepts and ControversiesDavid S. Moore, William I. Notz978131910902810thY


STAT 113 - Schedule information for Fall 2020

CRNSectionInstructorDayTimeRoom
29092002Cheryl CrabillTR11:30am-12:20pmOFFCMP ONLINE
67272037Cheryl CrabillTR08:30-09:20amOFFCMP ONLINE
29125004Evan LiM2:30-3:20pmOFFCMP ONLINE
29108016Grant HalverM07:30-08:20amOFFCMP ONLINE
62093032Grant HalverM08:30-09:20amOFFCMP ONLINE
21619902Grant HalverM10:30-11:20amOFFCMP ONLINE
21620903John LambrechtM11:30am-12:20pmOFFCMP ONLINE
29099017John LambrechtM08:30-09:20amOFFCMP ONLINE
29120027John LambrechtM12:30-1:20pmOFFCMP ONLINE
13842067Mudit GaurM08:30-09:20amOFFCMP ONLINE
14336061Mudit GaurM09:30-10:20amOFFCMP ONLINE
10953041Mudit GaurM11:30am-12:20pmOFFCMP ONLINE
29124024Evan LiM3:30-4:20pmOFFCMP ONLINE
29110020Evan LiM4:30-5:20pmOFFCMP ONLINE
21618901Ksheera Sagar Keralapura NagarajuM2:30-3:20pmOFFCMP ONLINE
11826052Wenjie LiM2:30-3:20pmOFFCMP ONLINE
62094033Wenjie LiM4:30-5:20pmOFFCMP ONLINE
29103029Wenjie LiM3:30-4:20pmOFFCMP ONLINE
13853071Xinyi PeiM09:30-10:20amOFFCMP ONLINE
29101021Xinyi PeiM1:30-2:20pmOFFCMP ONLINE
12535038Xinyi PeiM12:30-1:20pmOFFCMP ONLINE
29111019Ksheera Sagar Keralapura NagarajuM3:30-4:20pmOFFCMP ONLINE
29105023Ksheera Sagar Keralapura NagarajuM4:30-5:20pmOFFCMP ONLINE

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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