Schedule and Textbooks Information


Spring 2018 Schedule and Textbook Information for STAT 301

DISCLAIMER:

We believe the information about textbooks to be accurate, but the Purdue University Bookstores are the official source of information on textbooks. Please check with them for verification before purchasing texts for a specific academic semester or session.

STAT 301 - Texbook(s) for Spring 2018

CRN Title Author ISBN Version Req/Opt
10334Introduction to the Practice of StatisticsDavid S. Moore97813190133879Y
10335Introduction to the Practice of StatisticsDavid S. Moore97813190133879Y
10339Introduction to the Practice of StatisticsDavid S. Moore97813190133879Y
15477Introduction to the Practice of StatisticsDavid S. Moore97813190133879Y
15478Introduction to the Practice of StatisticsDavid S. Moore97813190133879Y
15479Introduction to the Practice of StatisticsDavid S. Moore97813190133879Y
15480Introduction to the Practice of StatisticsDavid S. Moore97813190133879Y
15481Introduction to the Practice of StatisticsDavid S. Moore97813190133879Y
15482Introduction to the Practice of StatisticsDavid S. Moore97813190133879Y
15483Introduction to the Practice of StatisticsDavid S. Moore97813190133879Y
15484Introduction to the Practice of StatisticsDavid S. Moore97813190133879Y
15485Introduction to the Practice of StatisticsDavid S. Moore97813190133879Y
15486Introduction to the Practice of StatisticsDavid S. Moore97813190133879Y
15487Introduction to the Practice of StatisticsDavid S. Moore97813190133879Y
15488Introduction to the Practice of StatisticsDavid S. Moore97813190133879Y
15489Introduction to the Practice of StatisticsDavid S. Moore97813190133879Y
15490Introduction to the Practice of StatisticsDavid S. Moore97813190133879Y
15491Introduction to the Practice of StatisticsDavid S. Moore97813190133879Y
15492Introduction to the Practice of StatisticsDavid S. Moore97813190133879Y
15493Introduction to the Practice of StatisticsDavid S. Moore97813190133879Y
15494Introduction to the Practice of StatisticsDavid S. Moore97813190133879Y
15498Introduction to the Practice of StatisticsDavid S. Moore97813190133879Y
15499Introduction to the Practice of StatisticsDavid S. Moore97813190133879Y
27810Introduction to the Practice of StatisticsDavid S. Moore97813190133879Y


STAT 301 - Schedule information for Spring 2018

CRN Section Instructor Day Time Room
15489901Yoriko LillMW09:30-10:20amUNIV 217
15485897Christa SorolaMW2:30-3:20pmUNIV 217
15481893Yuan QuMW2:30-3:20pmREC 114
15480892Yoriko LillMW10:30-11:20amUNIV 217
15482894Bruce SolomonMW3:30-4:20pmREC 114
15493905Yuan QuMW08:30-09:20amREC 114
15478890Kelly-Ann Dixon HamilMW12:30-1:20pmUNIV 217
15491903Bruce SolomonMW12:30-1:20pmUNIV 019
15498907Laura UrbaMW10:30-11:20amREC 114
27810957Yuan QuMW1:30-2:20pmREC 114
10339810Laura CayonMW10:30-11:20amWALC 3121
15486898Kelly-Ann Dixon HamilMW3:30-4:20pmUNIV 019
15487899Bruce SolomonMW11:30am-12:20pmUNIV 019
15499908Laura UrbaMW12:30-1:20pmREC 114
15484896Laura UrbaMW11:30am-12:20pmREC 114
10335800Laura CayonMW11:30am-12:20pmWALC 3121
15483895Kelly-Ann Dixon HamilMW4:30-5:20pmUNIV 019
15477889Bruce SolomonMW1:30-2:20pmUNIV 019
15488900Christa SorolaMW3:30-4:20pmUNIV 217
15494906Pamela PorterfieldMW4:30-5:20pmREC 114
15492904Yoriko LillMW08:30-09:20amUNIV 217
15490902Christa SorolaMW1:30-2:20pmUNIV 217
15479891Yuan QuMW09:30-10:20amREC 114

STAT 301 - Course Outline

1. Organization and Introduction to Data Display

  • Types of data
  • Graphical and numerical summaries of data

2. Experimental and sampling design

  • Design of experiments
  • Survey sampling
  • Causation, confounding, common response
  • Ethics in experiments

3. Probability to Inference

  • Normal distribution calculations for X
  • Normal approximation to the binomial for sample proportions
  • Sample means and the Central Limit Theorem

4. Introduction to Inference (Normal case, variance known)

  • Confidence intervals
  • Choosing the sample size
  • Significance test for a population mean

5. Inference for Distributions and Count Data

  • Inference for the means and proportions. Matched pairs for means. One-way ANOVA and Bonferroni Multiple Comparisons t tests. Two-way ANOVA

6. Data Relationships and Inference for Regression

  • Scatterplots, simple linear regression, estimation of coefficients prediction intervals, correlation
  • Multiple regression
Last Updated: Oct 10, 2017 11:37 AM

Purdue Department of Statistics, 250 N. University St, West Lafayette, IN 47907

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

© 2015 Purdue University | An equal access/equal opportunity university | Copyright Complaints

Trouble with this page? Disability-related accessibility issue? Please contact the College of Science Webmaster.