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Schedule and Textbooks Information


Fall 2022 Schedule and Textbook Information for STAT 350

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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 350 - Textbook(s) for Fall 2022

CRNTitleAuthorISBNVersionReq/Opt
12022Introduction to Statistics Course Pack 9781774127780Y
12022Introductory Statistics: a Problem-Solving ApproachStephen Kokoska97813190496213rdN
15194Introductory StatisticsStephen Kokoska97814641116932ndY
17132Introduction to Statistics Course Pack 9781774127780Y
17132Introductory Statistics: a Problem-Solving ApproachStephen Kokoska97813190496213rdN
20352Introduction to Statistics Course Pack 9781774127780Y
20352Introductory Statistics: a Problem-Solving ApproachStephen Kokoska97813190496213rdN
29220Introductory StatisticsStephen Kokoska97814641116932ndY
29221Introduction to Statistics Course Pack 9781774127780Y
29221Introductory Statistics: a Problem-Solving ApproachStephen Kokoska97813190496213rdN
37879Introductory StatisticsStephen Kokoska97814641116932ndY
39409Introduction to Statistics Course Pack 9781774127780Y
39409Introductory Statistics: a Problem-Solving ApproachStephen Kokoska97813190496213rdN


STAT 350 - Schedule information for Fall 2022

CRNSectionInstructorDayTimeRoom
12022018Leonore Findsen0:0-0:0amASYNC ONLINE
12022018Xiaochen Yang0:0-0:0amASYNC ONLINE
17132IMBLeonore FindsenMWF09:30-10:20amWALC 3138
39409113Leonore FindsenMWF12:30-1:20pmWALC 2088
20352230Leonore FindsenMWF2:30-3:20pmFRNY B124
29221IMALeonore FindsenMWF08:30-09:20amWALC 3138
39409113Halin ShinMWF12:30-1:20pmWALC 2088
20352230Jorge LoriaMWF2:30-3:20pmFRNY B124
15194130Stephen KubrickiMWF1:30-2:20pmFRNY B124
29220103Stephen KubrickiMWF10:30-11:20amWALC 2088
37879123Stephen KubrickiMWF11:30am-12:20pmWALC 2088

STAT 350 - Course Outline

A. Data Analysis
Describing distributions (graphics, center and spread, comparing and selecting descriptions); Describing relationships (graphics, regression and correlation, influence, interpreting relationships).

B. Data Production
Sampling design; Design of experiments.

C. Probability distributions and simulation
The idea of a sampling distribution; The idea of probability and probability distributions; Simulating discrete and continuous distributions; Sampling distribution of sample means (law of large numbers, central limit theorem).

D. The reasoning of inference
Confidence intervals; Significance tests

E. Basic inference procedures
Inference about distributions (t procedures, robustness); Inference about proportions (z and X2 procedures)

F. Regression inference
Simple linear regression (inference about slope and prediction); Introducing multiple regression (regression models, meaning of regression coefficients, interactions among explanatory variables).

Purdue Department of Statistics, 150 N. University St, West Lafayette, IN 47907

Phone: (765) 494-6030, Fax: (765) 494-0558

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