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Schedule and Textbooks Information


Fall 2021 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 Fall 2021

CRNTitleAuthorISBNVersionReq/Opt
14489Introduction to the Practice of StatisticsDavid S. Moore; George P. McCabe; Bruce A. Craig978131924444610thY
15193Introduction to the Practice of StatisticsDavid S. Moore; George P. McCabe; Bruce A. Craig978131924444610thY
15993Introduction to the Practice of StatisticsDavid S. Moore; George P. McCabe; Bruce A. Craig978131924444610thY
17648Introduction to the Practice of StatisticsDavid S. Moore; George P. McCabe; Bruce A. Craig978131924444610thY
17656Introduction to the Practice of StatisticsDavid S. Moore; George P. McCabe; Bruce A. Craig978131924444610thY
19147Introduction to the Practice of StatisticsDavid S. Moore; George P. McCabe; Bruce A. Craig978131924444610thY
22250Introduction to the Practice of StatisticsDavid S. Moore; George P. McCabe; Bruce A. Craig978131924444610thY
29185Introduction to the Practice of StatisticsDavid S. Moore; George P. McCabe; Bruce A. Craig978131924444610thY
29187Introduction to the Practice of StatisticsDavid S. Moore; George P. McCabe; Bruce A. Craig978131924444610thY
29188Introduction to the Practice of StatisticsDavid S. Moore; George P. McCabe; Bruce A. Craig978131924444610thY
29191Introduction to the Practice of StatisticsDavid S. Moore; George P. McCabe; Bruce A. Craig978131924444610thY
29194Introduction to the Practice of StatisticsDavid S. Moore; George P. McCabe; Bruce A. Craig978131924444610thY
29211Introduction to the Practice of StatisticsDavid S. Moore; George P. McCabe; Bruce A. Craig978131924444610thY
29212Introduction to the Practice of StatisticsDavid S. Moore; George P. McCabe; Bruce A. Craig978131924444610thY
29214Introduction to the Practice of StatisticsDavid S. Moore; George P. McCabe; Bruce A. Craig978131924444610thY
29216Introduction to the Practice of StatisticsDavid S. Moore; George P. McCabe; Bruce A. Craig978131924444610thY
48776Introduction to the Practice of StatisticsDavid S. Moore; George P. McCabe; Bruce A. Craig978131924444610thY
51069Introduction to the Practice of StatisticsDavid S. Moore; George P. McCabe; Bruce A. Craig978131924444610thY
51070Introduction to the Practice of StatisticsDavid S. Moore; George P. McCabe; Bruce A. Craig978131924444610thY
68707Introduction to the Practice of StatisticsDavid S. Moore; George P. McCabe; Bruce A. Craig978131924444610thY
68709Introduction to the Practice of StatisticsDavid S. Moore; George P. McCabe; Bruce A. Craig978131924444610thY


STAT 301 - Schedule information for Fall 2021

CRNSectionInstructorDayTimeRoom
15193Y01Andrew Irrgang0:0-0:0amASYNC ONLINE
14489Y02Andrew Irrgang0:0-0:0amASYNC ONLINE
48776030Jorge LoriaMW11:30am-12:20pmHAAS G066
29194750Jorge LoriaMW09:30-10:20amBRWN 1154
68709840Christina MunsonMW08:30-09:20amWALC B091
29212040Christina MunsonMW12:30-1:20pmHAAS G066
29214930Christina MunsonMW10:30-11:20amARMS B071
29211830Christina MunsonMW07:30-08:20amWALC B091
29187940Christina MunsonMW1:30-2:20pmHAAS G066
22250530Yuan QuMW5:30-6:20pmFORS 216
29185440Yuan QuMW4:30-5:20pmFORS 216
15993330Bruce SolomonMW12:30-1:20pmSYNC ONLINE
29191340Bruce SolomonMW2:30-3:20pmSYNC ONLINE
51070430Bruce SolomonMW1:30-2:20pmSYNC ONLINE
29188240Bruce SolomonMW08:30-09:20amSYNC ONLINE
19147IMALaura Cayon TruebaMW10:30-11:20amWALC 3132
17648IMBLaura Cayon TruebaMW11:30am-12:20pmWALC 3132
68707650Andrew IrrgangMW1:30-2:20pmWALC 3090
29216130Andrew IrrgangMW3:30-4:20pmWALC B066
51069140Andrew IrrgangMW4:30-5:20pmWALC B066
17656230Andrew IrrgangMW09:30-10:20amWTHR 320
14682332Yiran jiangF12:30-1:20pmMTHW 116
14675232Tian XiaF09:30-10:20amMTHW 116
14683341Yijia LiuF2:30-3:20pmSC 231
16030932Tian XiaF10:30-11:20amMTHW 116
16033652Yiran jiangF1:30-2:20pmMTHW 116
51054IM4Young Hyun ChoF11:30am-12:20pmSC 231
14685431Yijia LiuF1:30-2:20pmSC 289
29161931Zifu WeiF10:30-11:20amMTHW 116
14674231Zifu WeiF09:30-10:20amMTHW 116
16026841Haoyun YinF08:30-09:20amHAMP 3144
16001831Haoyun YinF07:30-08:20amHAMP 3144
51055751Boming NingF09:30-10:20amSC 289
14677241Boming NingF08:30-09:20amSC 231
15998032Hyeong jin HyunF11:30am-12:20pmMTHW 116
15995651Hyeong jin HyunF1:30-2:20pmMTHW 116
15994IM1Zhengming LiF10:30-11:20amSC 231
51063IM3Zhengming LiF11:30am-12:20pmSC 231
16022IM2Young Hyun ChoF10:30-11:20amSC 231
16023752Yue XingF09:30-10:20amSC 246
19149132Sihui WangF3:30-4:20pmHAMP 3144
14673142Sihui WangF4:30-5:20pmHAMP 3144
29203942Siqi LiangF1:30-2:20pmSC 231
51038042Siqi LiangF12:30-1:20pmSC 231
22252532Zeyu ZhangF5:30-6:20pmSC 231
14688442Zeyu ZhangF4:30-5:20pmSC 231
14681331Chuan ZuoF12:30-1:20pmMTHW 116
16006031Chuan ZuoF11:30am-12:20pmMTHW 116
14680242Yue XingF08:30-09:20amSC 231
22251531Huiming XieF5:30-6:20pmSC 231
68711842Tianning DongF08:30-09:20amHAMP 3144
51064832Tianning DongF07:30-08:20amHAMP 3144
16010131Muye LiuF3:30-4:20pmHAMP 3144
68713141Muye LiuF4:30-5:20pmHAMP 3144
16028041Hanbyul LeeF12:30-1:20pmSC 231
40017941Hanbyul LeeF1:30-2:20pmSC 231
14684342Bingjing TangF2:30-3:20pmSC 231
14686432Bingjing TangF1:30-2:20pmSC 283
14687441Huiming XieF4:30-5:20pmSC 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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