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Schedule and Textbooks Information

Spring 2023 Schedule and Textbook Information for STAT 350


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STAT 350 - Textbook(s) for Spring 2023

ALLIntroductory Statistics: a Problem-Solving ApproachStephen Kokoska97813190496213rdN

STAT 350 - Schedule information for Spring 2023

42907100Timothy ReeseMWF2:30-3:20pmARMS B071
27846200Timothy ReeseMWF11:30am-12:20pmRHPH 164
16228600Timothy ReeseMWF10:30-11:20amRHPH 164
14966400Anand DixitMWF1:30-2:20pmRHPH 164
14964500Anand DixitMWF12:30-1:20pmRHPH 164

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

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