Schedule and Textbooks Information


Fall 2017 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 Fall 2017

CRN Title Author ISBN Version Req/Opt
13578Introduction to the Practice of StatisticsDavid S. Moore97813190133879Y
13584Introduction to the Practice of StatisticsDavid S. Moore97813190133879Y
14710Introduction to the Practice of StatisticsDavid S. Moore97813190133879Y
15193Introduction to the Practice of StatisticsDavid S. Moore97813190133879Y
15993Introduction to the Practice of StatisticsDavid S. Moore97813190133879Y
17648Introduction to the Practice of StatisticsDavid S. Moore97813190133879Y
17648Learning R: A Step-by-Step Function Guide to Data AnalysisRichard Cotton97814493571081N
17656Introduction to the Practice of StatisticsDavid S. Moore97813190133879Y
19147Introduction to the Practice of StatisticsDavid S. Moore97813190133879Y
29185Introduction to the Practice of StatisticsDavid S. Moore97813190133879Y
29186Introduction to the Practice of StatisticsDavid S. Moore97813190133879Y
29187Introduction to the Practice of StatisticsDavid S. Moore97813190133879Y
29188Introduction to the Practice of StatisticsDavid S. Moore97813190133879Y
29189Introduction to the Practice of StatisticsDavid S. Moore97813190133879Y
29191Introduction to the Practice of StatisticsDavid S. Moore97813190133879Y
29194Introduction to the Practice of StatisticsDavid S. Moore97813190133879Y
29211Introduction to the Practice of StatisticsDavid S. Moore97813190133879Y
29212Introduction to the Practice of StatisticsDavid S. Moore97813190133879Y
29214Introduction to the Practice of StatisticsDavid S. Moore97813190133879Y
29216Introduction to the Practice of StatisticsDavid S. Moore97813190133879Y
48775Introduction to the Practice of StatisticsDavid S. Moore97813190133879Y
48776Introduction to the Practice of StatisticsDavid S. Moore97813190133879Y
51051Introduction to the Practice of StatisticsDavid S. Moore97813190133879Y
51069Introduction to the Practice of StatisticsDavid S. Moore97813190133879Y
51070Introduction to the Practice of StatisticsDavid S. Moore97813190133879Y
68707Introduction to the Practice of StatisticsDavid S. Moore97813190133879Y
68708Introduction to the Practice of StatisticsDavid S. Moore97813190133879Y
68709Introduction to the Practice of StatisticsDavid S. Moore97813190133879Y


STAT 301 - Schedule information for Fall 2017

CRN Section Instructor Day Time Room
51070130Bruce SolomonMW2:30-3:20pmUNIV 017
29214720Christa SorolaMW3:30-4:20pmBRWN 1154
29186410Yuan QuMW4:30-5:20pmREC 309
17656888Laura UrbaMW09:30-10:20amUNIV 019
29191620Yoriko LillMW11:30am-12:20pmREC 114
51051420Christa SorolaMW1:30-2:20pmBRWN 1154
14710960Kelly-Ann Dixon HamilMW10:30-11:20amREC 113
48775820Yuan QuMW3:30-4:20pmREC 309
15993906Laura UrbaMW12:30-1:20pmREC 114
48776310Yoriko LillMW08:30-09:20amREC 309
68708848Christa SorolaMW2:30-3:20pmBRWN 1154
29189320Kelly-Ann Dixon HamilMW09:30-10:20amREC 113
68709849Yuan QuMW07:30-08:20amUNIV 017
19147932Laura UrbaMW08:30-09:20amUNIV 019
29212710Yoriko LillMW09:30-10:20amREC 309
29185110Bruce SolomonMW3:30-4:20pmUNIV 017
29194210Kelly-Ann Dixon HamilMW1:30-2:20pmREC 309
29188610Laura UrbaMW10:30-11:20amUNIV 019
68707847Kelly-Ann Dixon HamilMW2:30-3:20pmREC 309
29216520Bruce SolomonMW11:30am-12:20pmUNIV 101
13578002Laura CayonMW10:30-11:20amWALC 3121
51069810Bruce SolomonMW12:30-1:20pmUNIV 101
29187530Pamela PorterfieldMW4:30-5:20pmREC 302
13584005Laura CayonMW11:30am-12:20pmWALC 3121
29211430Yuan QuMW08:30-09:20amUNIV 017
15973007Wei HaoF11:30am-12:20pmSC 231
15965006Mao YeF11:30am-12:20pmSC 231
13606003Dominique WilliamsF10:30-11:20amSC 231
13617004Daniel Vasquez CarvajalF10:30-11:20amSC 231
14682941Jiexin DuanF12:30-1:20pmSC 183
16028925Wenbin ZhuF09:30-10:20amHAMP 3144
51038612Siqi LiangF09:30-10:20amHAMP 3144
14687946Yucong ZhangF3:30-4:20pmSC 231
14680939Peiyi ZhangF10:30-11:20amBRNG B286
15995908Lorena MaxwellF2:30-3:20pmHAMP 3144
14693951Tianyang HuF1:30-2:20pmSC 231
14705955Jiexin DuanF4:30-5:20pmMTHW 301
14677938Mao YeF10:30-11:20amSC 183
40017712Cheng ChangF4:30-5:20pmHAMP 3144
14696953Yan SunF3:30-4:20pmNLSN 1225
14683942Lorena MaxwellF11:30am-12:20pmSC 183
68711851Tianyang HuF07:30-08:20amSC 231
14694952Jiexin DuanF3:30-4:20pmMTHW 301
14681940Cheng ChangF12:30-1:20pmNLSN 1225
51055611Lorena MaxwellF1:30-2:20pmHAMP 3144
16001913Yan SunF08:30-09:20amWTHR 214
14690949Tianyang HuF2:30-3:20pmSC 231
14704954Yang YuF4:30-5:20pmBRNG B291
14706956Mao YeF09:30-10:20amSC 183
16026923Dominique WilliamsF07:30-08:20amSC 231
29161411Cheng ChangF3:30-4:20pmHAMP 3144
14707957Andrew ThomasF09:30-10:20amLILY G428
51063811David NewtonF07:30-08:20amHAMP 3144
14686945Yan SunF2:30-3:20pmNLSN 1225
16006915Peiyi ZhangF08:30-09:20amLILY G428
16023920Tallis BowersF1:30-2:20pmHAMP 3144
16010916Yang YuF11:30am-12:20pmNLSN 1225
29203711Xiang LyuF4:30-5:20pmHAMP 3144
14689948Wenbin ZhuF2:30-3:20pmSC 231
14692950Andrew ThomasF1:30-2:20pmSC 231
51054212David NewtonF07:30-08:20amHAMP 3144
14709959Siqi LiangF10:30-11:20amHIKS G959
68713853Wei HaoF12:30-1:20pmSC 231
14684943Yucong ZhangF11:30am-12:20pmHIKS G959
16033930Tallis BowersF2:30-3:20pmHAMP 3144
14685944Yang YuF2:30-3:20pmSC 183
14673935Xiang LyuF12:30-1:20pmSC 231
15994907Wenbin ZhuF08:30-09:20amHAMP 3144
14708958Andrew ThomasF10:30-11:20amLILY G428
14674936Dominique WilliamsF09:30-10:20amSC 231
16022919Siqi LiangF08:30-09:20amHAMP 3144
14688947Wei HaoF3:30-4:20pmSC 231
15998911Yucong ZhangF08:30-09:20amNLSN 1225
19149934Peiyi ZhangF11:30am-12:20pmBRNG B286
51064132Tallis BowersF08:30-09:20amHIKS G959
16030927Xiang LyuF3:30-4:20pmHAMP 3144
14675937Daniel Vasquez CarvajalF09:30-10:20amSC 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