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Schedule and Textbooks Information


Spring 2021 Schedule and Textbook Information for STAT 113

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STAT 113 - Textbook(s) for Spring 2021

CRNTitleAuthorISBNVersionReq/Opt
26811Statistics Concepts and ControversiesDavid S. Moore, William I. Notz978131910902810thY
26812Statistics Concepts and ControversiesDavid S. Moore, William I. Notz978131910902810thY
27712Statistics Concepts and ControversiesDavid S. Moore, William I. Notz978131910902810thY
27713Statistics Concepts and ControversiesDavid S. Moore, William I. Notz978131910902810thY
60331Statistics Concepts and ControversiesDavid S. Moore, William I. Notz978131910902810thY
60332Statistics Concepts and ControversiesDavid S. Moore, William I. Notz978131910902810thY


STAT 113 - Schedule information for Spring 2021

CRNSectionInstructorDayTimeRoom
60331Y01Cheryl Crabill0:0-0:0amASYNC ONLINE
26811OL2Cheryl Crabill0:0-0:0amASYNC ONLINE
26812OL1Cheryl Crabill0:0-0:0amASYNC ONLINE
60332Y02Cheryl Crabill0:0-0:0amASYNC ONLINE
27713200Cheryl CrabillTR10:30-11:20amSYNC ONLINE
27712100Cheryl CrabillTR09:30-10:20amSYNC ONLINE
15848202Wenjie LiM4:30-5:20pmSYNC ONLINE
27728033John LambrechtM08:30-09:20amSYNC ONLINE
27732062John LambrechtM11:30am-12:20pmSYNC ONLINE
27723052John LambrechtM09:30-10:20amSYNC ONLINE
27735001Mudit GaurM11:30am-12:20pmSYNC ONLINE
15847201Mudit GaurM10:30-11:20amSYNC ONLINE
15849203Mudit GaurM08:30-09:20amSYNC ONLINE
15850204Evan LiM3:30-4:20pmSYNC ONLINE
27721082Evan LiM2:30-3:20pmSYNC ONLINE
27717083Evan LiM12:30-1:20pmSYNC ONLINE
27720071Wenjie LiM3:30-4:20pmSYNC ONLINE
27742091Wenjie LiM1:30-2:20pmSYNC ONLINE
27737002Ksheera Sagar Keralapura NagarajuM4:30-5:20pmSYNC ONLINE
27725093Xinyi PeiM12:30-1:20pmSYNC ONLINE
15851205Xinyi PeiM10:30-11:20amSYNC ONLINE
52985051Xinyi PeiM09:30-10:20amSYNC ONLINE
36934032Ksheera Sagar Keralapura NagarajuM1:30-2:20pmSYNC ONLINE
52986072Ksheera Sagar Keralapura NagarajuM2:30-3:20pmSYNC 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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