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Department of Statistics

Schedule and Textbooks Information


Fall 2023 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 2023

CRNTitleAuthorISBNVersionReq/Opt
ALLIntroduction to the Practice of StatisticsDavid S. Moore; George P. McCabe; Bruce A. Craig978131924444610thY


STAT 301 - Schedule information for Fall 2023

CRNSectionInstructorDayTimeRoom
15193Y01Christina Munson0:0-0:0amASYNC ONLINE
14489Y02Christina Munson0:0-0:0amASYNC ONLINE
29214930Bruce SolomonMW11:30am-12:20pmSMTH 118
29211830Bruce SolomonMW08:30-09:20amSMTH 118
29187940Bruce SolomonMW12:30-1:20pmSMTH 118
68709840Bruce SolomonMW09:30-10:20amSMTH 118
15993330Christina MunsonMW2:30-3:20pmLWSN B151
19147IMAChristina MunsonMW1:30-2:20pmUNIV 019
17648IMBChristina MunsonMW2:30-3:20pmUNIV 019
68707650Christina MunsonMW10:30-11:20amBRWN 1154
51070430Christina MunsonMW1:30-2:20pmLWSN B151
29191340Jiwon JungMW11:30am-12:20pmLWSN B151
29188240Jiwon JungMW12:30-1:20pmLWSN B151
15993330Lynda AouarMW2:30-3:20pmLWSN B151
68707650Lynda AouarMW10:30-11:20amBRWN 1154
51070430Lynda AouarMW1:30-2:20pmLWSN B151
48776030Keith SchwingendorfMW12:30-1:20pmGRIS 103
29212040Keith SchwingendorfMW1:30-2:20pmGRIS 103
29194750Keith SchwingendorfMW09:30-10:20amBRWN 1154
51069140William MercierMW09:30-10:20amHAAS G066
29216130William MercierMW10:30-11:20amHAAS G066
17656230Joshua RendallMW3:30-4:20pmLWSN B151
22250530Joshua RendallMW5:30-6:20pmLWSN B151
29185440Joshua RendallMW4:30-5:20pmLWSN B151
15995651Danni LiuF10:30-11:20amSC 231
68713141Danni LiuF09:30-10:20amLILY G428
51055751Muye LiuF09:30-10:20amSC 231
16001831Muye LiuF08:30-09:20amHAMP 3144
16028041Hanbyul LeeF1:30-2:20pmHAMP 3144
16006031Hanbyul LeeF12:30-1:20pmSC 231
22251531Hanbyul LeeF5:30-6:20pmSC 231
19149132Hanbyul LeeF10:30-11:20amSC 179
29203942Hanbyul LeeF12:30-1:20pmSC 179
14688442Hanbyul LeeF4:30-5:20pmSC 231
14685431Hanbyul LeeF1:30-2:20pmSC 231
16030932Hanbyul LeeF11:30am-12:20pmSC 179
16026841Hanbyul LeeF09:30-10:20amMTHW 301
51054IM4Hanbyul LeeF2:30-3:20pmWTHR 114
51038042Hanbyul LeeF1:30-2:20pmHAMP 3144
14686432Hanbyul LeeF1:30-2:20pmSC 231
14673142Hanbyul LeeF09:30-10:20amWTHR 114
68711842Hanbyul LeeF09:30-10:20amSC 179
14684342Hanbyul LeeF11:30am-12:20pmSC 231
14683341Hanbyul LeeF11:30am-12:20pmSC 231
14682332Hanbyul LeeF2:30-3:20pmSC 231
51064832Hanbyul LeeF08:30-09:20amHAMP 3144
14687441Hanbyul LeeF4:30-5:20pmSC 231
22252532Hanbyul LeeF5:30-6:20pmSC 231
16001831Hanbyul LeeF08:30-09:20amHAMP 3144
15995651Hanbyul LeeF10:30-11:20amSC 231
14681331Hanbyul LeeF2:30-3:20pmSC 231
14680242Hanbyul LeeF12:30-1:20pmRHPH 316
16033652Hanbyul LeeF10:30-11:20amSC 231
16023752Hanbyul LeeF09:30-10:20amSC 231
51055751Hanbyul LeeF09:30-10:20amSC 231
16022IM2Hanbyul LeeF1:30-2:20pmWTHR 114
15994IM1Hanbyul LeeF1:30-2:20pmWTHR 114
40017941Hanbyul LeeF12:30-1:20pmMTHW 301
68713141Hanbyul LeeF09:30-10:20amLILY G428
14675232Hanbyul LeeF3:30-4:20pmSC 231
14674231Hanbyul LeeF3:30-4:20pmSC 231
15998032Hanbyul LeeF12:30-1:20pmSC 231
29161931Hanbyul LeeF11:30am-12:20pmMTHW 301
51063IM3Hanbyul LeeF2:30-3:20pmWTHR 114
14677241Hanbyul LeeF12:30-1:20pmLILY G428
16026841 SheetalF09:30-10:20amMTHW 301
16010131 SheetalF10:30-11:20amMTHW 301
15994IM1Christina MunsonF1:30-2:20pmWTHR 114
16028041Christina MunsonF1:30-2:20pmHAMP 3144
22252532Christina MunsonF5:30-6:20pmSC 231
16001831Christina MunsonF08:30-09:20amHAMP 3144
29203942Christina MunsonF12:30-1:20pmSC 179
14688442Christina MunsonF4:30-5:20pmSC 231
14681331Christina MunsonF2:30-3:20pmSC 231
51038042Christina MunsonF1:30-2:20pmHAMP 3144
68713141Christina MunsonF09:30-10:20amLILY G428
14683341Christina MunsonF11:30am-12:20pmSC 231
14675232Christina MunsonF3:30-4:20pmSC 231
19149132Christina MunsonF10:30-11:20amSC 179
16022IM2Christina MunsonF1:30-2:20pmWTHR 114
15998032Christina MunsonF12:30-1:20pmSC 231
51063IM3Christina MunsonF2:30-3:20pmWTHR 114
51054IM4Christina MunsonF2:30-3:20pmWTHR 114
16026841Christina MunsonF09:30-10:20amMTHW 301
29161931Christina MunsonF11:30am-12:20pmMTHW 301
16030932Christina MunsonF11:30am-12:20pmSC 179
16023752Christina MunsonF09:30-10:20amSC 231
16006031Christina MunsonF12:30-1:20pmSC 231
14687441Christina MunsonF4:30-5:20pmSC 231
14685431Christina MunsonF1:30-2:20pmSC 231
14684342Christina MunsonF11:30am-12:20pmSC 231
14682332Christina MunsonF2:30-3:20pmSC 231
14673142Christina MunsonF09:30-10:20amWTHR 114
51055751Christina MunsonF09:30-10:20amSC 231
14680242Christina MunsonF12:30-1:20pmRHPH 316
14674231Christina MunsonF3:30-4:20pmSC 231
16033652Christina MunsonF10:30-11:20amSC 231
16010131Christina MunsonF10:30-11:20amMTHW 301
22251531Christina MunsonF5:30-6:20pmSC 231
15995651Christina MunsonF10:30-11:20amSC 231
40017941Christina MunsonF12:30-1:20pmMTHW 301
51064832Christina MunsonF08:30-09:20amHAMP 3144
68711842Christina MunsonF09:30-10:20amSC 179
14686432Christina MunsonF1:30-2:20pmSC 231
14677241Christina MunsonF12:30-1:20pmLILY G428
15998032Chuanhui LiuF12:30-1:20pmSC 231
14684342Chuanhui LiuF11:30am-12:20pmSC 231
22251531Kyle ConradF5:30-6:20pmSC 231
14675232Kyle ConradF3:30-4:20pmSC 231
16030932Huiming XieF11:30am-12:20pmSC 179
29203942Huiming XieF12:30-1:20pmSC 179
40017941Frank ShihF12:30-1:20pmMTHW 301
29161931Frank ShihF11:30am-12:20pmMTHW 301
16001831Yushu HuangF08:30-09:20amHAMP 3144
68713141Yushu HuangF09:30-10:20amLILY G428
14688442Yushu HuangF4:30-5:20pmSC 231
14680242Yushu HuangF12:30-1:20pmRHPH 316
16006031Yushu HuangF12:30-1:20pmSC 231
15995651Yushu HuangF10:30-11:20amSC 231
14673142Yushu HuangF09:30-10:20amWTHR 114
51038042Yushu HuangF1:30-2:20pmHAMP 3144
29203942Yushu HuangF12:30-1:20pmSC 179
14675232Yushu HuangF3:30-4:20pmSC 231
14674231Yushu HuangF3:30-4:20pmSC 231
16028041Yushu HuangF1:30-2:20pmHAMP 3144
15994IM1Yushu HuangF1:30-2:20pmWTHR 114
68711842Yushu HuangF09:30-10:20amSC 179
14677241Yushu HuangF12:30-1:20pmLILY G428
16022IM2Yushu HuangF1:30-2:20pmWTHR 114
22252532Yushu HuangF5:30-6:20pmSC 231
29161931Yushu HuangF11:30am-12:20pmMTHW 301
51064832Yushu HuangF08:30-09:20amHAMP 3144
14687441Yushu HuangF4:30-5:20pmSC 231
14683341Yushu HuangF11:30am-12:20pmSC 231
14681331Yushu HuangF2:30-3:20pmSC 231
16023752Yushu HuangF09:30-10:20amSC 231
19149132Yushu HuangF10:30-11:20amSC 179
51055751Yushu HuangF09:30-10:20amSC 231
51054IM4Yushu HuangF2:30-3:20pmWTHR 114
16026841Yushu HuangF09:30-10:20amMTHW 301
15998032Yushu HuangF12:30-1:20pmSC 231
14686432Yushu HuangF1:30-2:20pmSC 231
14682332Yushu HuangF2:30-3:20pmSC 231
22251531Yushu HuangF5:30-6:20pmSC 231
40017941Yushu HuangF12:30-1:20pmMTHW 301
16033652Yushu HuangF10:30-11:20amSC 231
16030932Yushu HuangF11:30am-12:20pmSC 179
16010131Yushu HuangF10:30-11:20amMTHW 301
51063IM3Yushu HuangF2:30-3:20pmWTHR 114
14685431Yushu HuangF1:30-2:20pmSC 231
14684342Yushu HuangF11:30am-12:20pmSC 231
51054IM4Mudit GaurF2:30-3:20pmWTHR 114
16022IM2Mudit GaurF1:30-2:20pmWTHR 114
14677241Haoyun YinF12:30-1:20pmLILY G428
14685431Haoyun YinF1:30-2:20pmSC 231
14686432Qian ZhangF1:30-2:20pmSC 231
14680242Qian ZhangF12:30-1:20pmRHPH 316
14683341Zhengming LiF11:30am-12:20pmSC 231
16006031Zhengming LiF12:30-1:20pmSC 231
16033652Chong YuF10:30-11:20amSC 231
14673142Chong YuF09:30-10:20amWTHR 114
14687441Ruiting TongF4:30-5:20pmSC 231
14674231Ruiting TongF3:30-4:20pmSC 231
68711842Bipasha VasudevanF09:30-10:20amSC 179
19149132Bipasha VasudevanF10:30-11:20amSC 179
22252532Zejin GaoF5:30-6:20pmSC 231
14688442Zejin GaoF4:30-5:20pmSC 231
14682332Yu wei ChenF2:30-3:20pmSC 231
51038042Yu wei ChenF1:30-2:20pmHAMP 3144
16023752Juan Esteban GuevaraF09:30-10:20amSC 231
51064832Juan Esteban GuevaraF08:30-09:20amHAMP 3144
14681331Yujue LiF2:30-3:20pmSC 231
16028041Yujue LiF1:30-2:20pmHAMP 3144
15994IM1Xiaojing SunF1:30-2:20pmWTHR 114
51063IM3Xiaojing SunF2:30-3:20pmWTHR 114

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

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