Schedule and Textbooks Information - Department of Statistics - Purdue University Skip to main content
Department of Statistics

Schedule and Textbooks Information


Spring 2023 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 - Textbook(s) for Spring 2023

CRNTitleAuthorISBNVersionReq/Opt
15478Introduction to the Practice of StatisticsDavid S. Moore; George P. McCabe; Bruce A. Craig978131924444610thY
15479Introduction to the Practice of StatisticsDavid S. Moore; George P. McCabe; Bruce A. Craig978131924444610thY
15480Introduction to the Practice of StatisticsDavid S. Moore; George P. McCabe; Bruce A. Craig978131924444610thY
15481Introduction to the Practice of StatisticsDavid S. Moore; George P. McCabe; Bruce A. Craig978131924444610thY
15482Introduction to the Practice of StatisticsDavid S. Moore; George P. McCabe; Bruce A. Craig978131924444610thY
15483Introduction to the Practice of StatisticsDavid S. Moore; George P. McCabe; Bruce A. Craig978131924444610thY
15484Introduction to the Practice of StatisticsDavid S. Moore; George P. McCabe; Bruce A. Craig978131924444610thY
15485Introduction to the Practice of StatisticsDavid S. Moore; George P. McCabe; Bruce A. Craig978131924444610thY
15486Introduction to the Practice of StatisticsDavid S. Moore; George P. McCabe; Bruce A. Craig978131924444610thY
15487Introduction to the Practice of StatisticsDavid S. Moore; George P. McCabe; Bruce A. Craig978131924444610thY
15488Introduction to the Practice of StatisticsDavid S. Moore; George P. McCabe; Bruce A. Craig978131924444610thY
15489Introduction to the Practice of StatisticsDavid S. Moore; George P. McCabe; Bruce A. Craig978131924444610thY
15490Introduction to the Practice of StatisticsDavid S. Moore; George P. McCabe; Bruce A. Craig978131924444610thY
15491Introduction to the Practice of StatisticsDavid S. Moore; George P. McCabe; Bruce A. Craig978131924444610thY
22747Introduction to the Practice of StatisticsDavid S. Moore; George P. McCabe; Bruce A. Craig978131924444610thY
23710Introduction to the Practice of StatisticsDavid S. Moore; George P. McCabe; Bruce A. Craig978131924444610thY


STAT 301 - Schedule information for Spring 2023

CRNSectionInstructorDayTimeRoom
15481280Yue XingMW11:30am-12:20pmHAAS G066
15492010Jiwon JungMW3:30-4:20pmWALC 1121
13472982William MercierMW09:30-10:20amWTHR 160
15480210William MercierMW11:30am-12:20pmLWSN B151
23710005Joshua RendallMW4:30-5:20pmLWSN B151
22747014Joshua RendallMW5:30-6:20pmLWSN B151
15478IMAChristina MunsonMW09:30-10:20amUNIV 017
15479IMBChristina MunsonMW10:30-11:20amUNIV 017
15485560Spencer HamrickMW2:30-3:20pmGRIS 102
15484490Spencer HamrickMW10:30-11:20amHAAS G066
15486630Yue XingMW3:30-4:20pmLWSN B151
15489840Yue XingMW12:30-1:20pmHAAS G066
15488770Yue XingMW2:30-3:20pmLWSN B151
15483420Bruce SolomonMW12:30-1:20pmKNOY B033
15491980Bruce SolomonMW09:30-10:20amKNOY B033
15487700Bruce SolomonMW08:30-09:20amKNOY B033
13473983Bruce SolomonMW1:30-2:20pmKNOY B033
15482350Spencer HamrickMW09:30-10:20amHAAS G066
15490910Spencer HamrickMW1:30-2:20pmGRIS 102
13509995Yu wei ChenF09:30-10:20amSC 289
15533351Yu wei ChenF11:30am-12:20pmSC 231
23712007Hyunwoo ChungF4:30-5:20pmSC 231
22749016Hyunwoo ChungF5:30-6:20pmSC 231
15564981Robert JungF10:30-11:20amMTHW 116
15562911Zejin GaoF10:30-11:20amMTHW 116
15551701Robert JungF09:30-10:20amMTHW 116
15547631Zejin GaoF09:30-10:20amMTHW 116
23711006Di YuF4:30-5:20pmSC 231
13482985Di YuF3:30-4:20pmSC 231
15560841Chong YuF12:30-1:20pmSC 231
13506994Chong YuF1:30-2:20pmSC 231
13530001Zhengming LiF09:30-10:20amSC 231
13484987Zhengming LiF08:30-09:20amSC 231
15545561Muye LiuF11:30am-12:20pmMTHW 116
13491989Sihui WangF2:30-3:20pmHAMP 3144
13526997Sihui WangF3:30-4:20pmHAMP 3144
15555771Yujie ChenF12:30-1:20pmSC 231
13502993Yujie ChenF1:30-2:20pmSC 231
15568011Xinlin TaoF2:30-3:20pmSC 231
13535003Xinlin TaoF1:30-2:20pmMTHW 116
13499991Chang ChengF12:30-1:20pmMTHW 116
15542491Chang ChengF11:30am-12:20pmMTHW 116
13478984Chuan ZuoF2:30-3:20pmSC 231
13536004Chuan ZuoF1:30-2:20pmMTHW 116
13501992Muye LiuF12:30-1:20pmMTHW 116
15505071Hyeong jin HyunF09:30-10:20amSC 183
15540421Kyle ConradF11:30am-12:20pmSC 231
13523996Kyle ConradF09:30-10:20amSC 189
13487988Frank ShihF08:30-09:20amSC 231
13534002Frank ShihF09:30-10:20amSC 231
15529281Mudit GaurF10:30-11:20amSC 231
15513211Mudit GaurF10:30-11:20amSC 231
13483986Yijia LiuF3:30-4:20pmSC 231
22748015Yijia LiuF5:30-6:20pmSC 231
13528998Haoyun YinF3:30-4:20pmHAMP 3144
13495990Haoyun YinF2:30-3:20pmHAMP 3144
15510141Hyeong jin HyunF09:30-10:20amWTHR 214

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

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

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

© 2023 Purdue University | An equal access/equal opportunity university | Copyright Complaints

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