Schedule and Textbooks Information


Spring 2018 Schedule and Textbook Information for STAT 225

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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 225 - Texbook(s) for Spring 2018

CRN Title Author ISBN Version Req/Opt
10677Introduction to ProbabilityMark Ward97807167710981st ed. 2016Y
10679Introduction to ProbabilityMark Ward97807167710981st ed. 2016Y
13139Introduction to ProbabilityMark Ward97807167710981st ed. 2016Y
15279Introduction to ProbabilityMark Ward97807167710981st ed. 2016Y
15280Introduction to ProbabilityMark Ward97807167710981st ed. 2016Y
27753Introduction to ProbabilityMark Ward97807167710981st ed. 2016Y
27755Introduction to ProbabilityMark Ward97807167710981st ed. 2016Y
27756Introduction to ProbabilityMark Ward97807167710981st ed. 2016Y
27758Introduction to ProbabilityMark Ward97807167710981st ed. 2016Y
27759Introduction to ProbabilityMark Ward97807167710981st ed. 2016Y
27762Introduction to ProbabilityMark Ward97807167710981st ed. 2016Y


STAT 225 - Schedule information for Spring 2018

CRN Section Instructor Day Time Room
10679096Hui SunMWF08:30-09:20amUNIV 017
10677095Hui SunMWF09:30-10:20amUNIV 017
27753081Qi WangMWF2:30-3:20pmREC 122
27759031Qi WangMWF1:30-2:20pmREC 122
27756021Will EaganMWF12:30-1:20pmUNIV 101
27758011Timothy ReeseMWF11:30am-12:20pmUNIV 017
15279098Eric GerberMWF11:30am-12:20pmREC 113
27762051Timothy ReeseMWF10:30-11:20amUNIV 017
15280099Eric GerberMWF12:30-1:20pmREC 113
27755001Jiapeng LiuMWF3:30-4:20pmREC 122

STAT 225 - Course Outline

A. Sets and Events
B. Basic Probability, Sampling Models
C. Conditional Probability; Bayes Rule; Independence
D. Random Variables; Discrete and Continuous Distributions; Mass, Density and Distribution Functions; Transformations
E. Descriptive Measures for Distributions: Mean, Median and Quantities.
F. Expected Values; Variance and Standard Deviation; Mean and Variance of Sums of Random Variables
G. Special Discrete Distributions: Binomial, Hypergeometric, Poisson, Geometric, Negative Binomial and their Uses
H. Exponential Distribution; Reliability
I. Normal Distributions and Applications; Central Limit Theorem
J. Review
K. Exams
Last Updated: Oct 10, 2017 11:37 AM

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