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Schedule and Textbooks Information


Spring 2022 Schedule and Textbook Information for STAT 301

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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 2022

CRNTitleAuthorISBNVersionReq/Opt
10334Introduction to the Practice of StatisticsDavid S. Moore; George P. McCabe; Bruce A. Craig978131924444610thY
13472Introduction to the Practice of StatisticsDavid S. Moore; George P. McCabe; Bruce A. Craig978131924444610thY
13473Introduction to the Practice of StatisticsDavid S. Moore; George P. McCabe; Bruce A. Craig978131924444610thY
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
15492Introduction 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
25336Introduction to the Practice of StatisticsDavid S. Moore; George P. McCabe; Bruce A. Craig978131924444610thY


STAT 301 - Schedule information for Spring 2022

CRNSectionInstructorDayTimeRoom
15479IMBLaura Cayon TruebaMW11:30am-12:20pmWALC 2121
15486630Spencer HamrickMW09:30-10:20amWALC 3090
13473983Spencer HamrickMW1:30-2:20pmGRIS 102
23710005Spencer HamrickMW10:30-11:20amWALC 3090
15483420Joshua RendallMW3:30-4:20pmWALC 3090
15492010Joshua RendallMW4:30-5:20pmWALC 3090
15490910Jorge LoriaMW3:30-4:20pmFORS 216
22747014Jorge LoriaMW2:30-3:20pmFORS 216
15489840Christina MunsonMW08:30-09:20amLWSN B151
15485560Christina MunsonMW07:30-08:20amLWSN B151
15487700Christina MunsonMW12:30-1:20pmGRIS 102
15491980Christina MunsonMW11:30am-12:20pmGRIS 102
15478IMALaura Cayon TruebaMW10:30-11:20amWALC 2121
13472982Bruce SolomonMW12:30-1:20pmWALC 2051
15482350Bruce SolomonMW09:30-10:20amBRNG 2290
15481280Bruce SolomonMW08:30-09:20amBRNG 2290
15480210Bruce SolomonMW1:30-2:20pmWALC 2051
15484490Yumin ZhangMW2:30-3:20pmWALC 3090
15488770Yumin ZhangMW4:30-5:20pmFORS 216
15505071Jiajun LiangF10:30-11:20amMTHW 116
15513211Yijia LiuF11:30am-12:20pmMTHW 116
13482985Jiajun LiangF09:30-10:20amMTHW 116
13501992Zifu WeiF08:30-09:20amHAMP 3144
23711006Zifu WeiF10:30-11:20amSC 231
13509995Haoyun YinF11:30am-12:20pmSC 231
13530001Haoyun YinF12:30-1:20pmSC 231
13487988Boming NingF12:30-1:20pmMTHW 116
15529281Boming NingF11:30am-12:20pmMTHW 116
13502993Hyeong jin HyunF3:30-4:20pmHAMP 3144
13526997Hyeong jin HyunF4:30-5:20pmHAMP 3144
13495990Shanyun GaoF4:30-5:20pmSC 231
15560841Shanyun GaoF3:30-4:20pmSC 231
13534002Zhengming LiF12:30-1:20pmSC 231
13523996Zhengming LiF11:30am-12:20pmSC 231
15555771Young Hyun ChoF3:30-4:20pmSC 231
13491989Young Hyun ChoF4:30-5:20pmSC 231
15510141Chuanhui LiuF10:30-11:20amMTHW 116
15540421Yue XingF1:30-2:20pmSC 231
22749016Tianning DongF2:30-3:20pmMTHW 116
13536004Tianning DongF1:30-2:20pmMTHW 116
13506994Hanbyul LeeF3:30-4:20pmHAMP 3144
13528998Hanbyul LeeF4:30-5:20pmHAMP 3144
13499991Chuan ZuoF08:30-09:20amHAMP 3144
15547631Chuan ZuoF09:30-10:20amSC 231
15551701Chang ChengF09:30-10:20amSC 231
23712007Chang ChengF10:30-11:20amSC 231
13483986Chuanhui LiuF09:30-10:20amMTHW 116
13484987Yijia LiuF12:30-1:20pmMTHW 116
15562911Huiming XieF2:30-3:20pmSC 231
15533351Huiming XieF1:30-2:20pmSC 231
15545561Heekyung AhnF08:30-09:20amSC 231
13478984Heekyung AhnF07:30-08:20amSC 231
13535003Yiran jiangF1:30-2:20pmMTHW 116
22748015Yiran jiangF2:30-3:20pmMTHW 116
15542491Tian XiaF08:30-09:20amSC 231
15568011Tian XiaF07:30-08:20amSC 231
15564981Yue XingF2:30-3:20pmSC 231

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

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