Schedule and Textbooks Information


Spring 2018 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 - 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
15479891Yuan QuMW09:30-10:20amREC 114
15480892Yoriko LillMW10:30-11:20amUNIV 217
15488900Christa SorolaMW3:30-4:20pmUNIV 217
15481893Yuan QuMW2:30-3:20pmREC 114
15492904Yoriko LillMW08:30-09:20amUNIV 217
15494906Pamela PorterfieldMW4:30-5:20pmREC 114
15477889Bruce SolomonMW1:30-2:20pmUNIV 019
15484896Laura UrbaMW11:30am-12:20pmREC 114
15483895Kelly-Ann Dixon HamilMW4:30-5:20pmUNIV 019
15493905Yuan QuMW08:30-09:20amREC 114
15482894Bruce SolomonMW3:30-4:20pmREC 114
15498907Laura UrbaMW10:30-11:20amREC 114
15499908Laura UrbaMW12:30-1:20pmREC 114
15478890Kelly-Ann Dixon HamilMW12:30-1:20pmUNIV 217
10335800Laura CayonMW11:30am-12:20pmWALC 3121
15491903Bruce SolomonMW12:30-1:20pmUNIV 019
15486898Kelly-Ann Dixon HamilMW3:30-4:20pmUNIV 019
10339810Laura CayonMW10:30-11:20amWALC 3121
15487899Bruce SolomonMW11:30am-12:20pmUNIV 019
15490902Christa SorolaMW1:30-2:20pmUNIV 217
27810957Yuan QuMW1:30-2:20pmREC 114
15489901Yoriko LillMW09:30-10:20amUNIV 217
15485897Christa SorolaMW2:30-3:20pmUNIV 217
10368142Daniel Vasquez CarvajalF11:30am-12:20pmSC 231
10347140Tianyang HuF11:30am-12:20pmSC 231
10341136Dominique McDanielF10:30-11:20amSC 231
10342138Siqi LiangF10:30-11:20amSC 231
15501910Lorena MaxwellF1:30-2:20pmSC 231
15509914Hao XinF12:30-1:20pmMTHW 301
15546928Jungeum KimF2:30-3:20pmSC 283
15584950Min RenF12:30-1:20pmPHYS 117
15571943Tianyang HuF08:30-09:20amSC 183
15578946Mao YeF4:30-5:20pmNLSN 1225
15548930Lorena MaxwellF3:30-4:20pmSC 231
15545927Yan SunF2:30-3:20pmNLSN 1225
15572944Jungeum KimF08:30-09:20amNLSN 1225
15560935Tianyang HuF09:30-10:20amSC 183
15555933Mao YeF3:30-4:20pmNLSN 1225
15565940Daniel Vasquez CarvajalF12:30-1:20pmSC 231
15582948Andrew ThomasF10:30-11:20amNLSN 1225
15541924Yan SunF4:30-5:20pmHAMP 3144
15559934Tallis BowersF3:30-4:20pmSC 183
15563938Jungeum KimF1:30-2:20pmSC G073
15576945Jiexin DuanF4:30-5:20pmSC 183
15528918Mao YeF10:30-11:20amSC G046
15583949Andrew ThomasF12:30-1:20pmLILY G428
15554932David NewtonF11:30am-12:20pmBRNG B286
15581947Yan SunF10:30-11:20amSC 246
15500909Tallis BowersF1:30-2:20pmSC 231
15505912Xiang LyuF12:30-1:20pmHIKS G959
15507913Peiyi ZhangF1:30-2:20pmHIKS G959
15547929Jiexin DuanF3:30-4:20pmSC 231
15562937Chang ChengF1:30-2:20pmBRNG B286
15561936Andrew ThomasF09:30-10:20amNLSN 1225
15568941Dominique McDanielF08:30-09:20amSC 231
15533921Siqi LiangF3:30-4:20pmHAMP 3144
15542925Tallis BowersF11:30am-12:20pmSC 183
15543926Xiang LyuF11:30am-12:20pmWTHR 212
15512916Peiyi ZhangF09:30-10:20amSC 231
15529919Jiexin DuanF2:30-3:20pmSC 231
15504911Min RenF1:30-2:20pmPHYS 117
15564939Chang ChengF12:30-1:20pmSC 231
15532920Lorena MaxwellF2:30-3:20pmSC 231
15513917Xiang LyuF10:30-11:20amWTHR 212
15570942Peiyi ZhangF08:30-09:20amSC 231
15551931Min RenF11:30am-12:20pmSC 246
15539922Chang ChengF3:30-4:20pmHAMP 3144
15510915Dominique McDanielF09:30-10:20amSC 231
15540923Siqi LiangF4:30-5:20pmHAMP 3144

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: May 17, 2018 3:38 PM

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