Purdue University - Department of Statistics - Schedule and Textbooks Information

# Schedule and Textbooks Information

## Fall 2023 Schedule and Textbook Information for STAT 350

DISCLAIMER:

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 - Texbook(s) for Fall 2023

Textbook information is not available at this time.

### STAT 350 - Schedule information for Fall 2023

CRNSectionInstructorDayTimeRoom
12022018Timothy Reese0:0-0:0amASYNC ONLINE
12022018Halin Shin0:0-0:0amASYNC ONLINE
29220103Timothy ReeseMWF11:30am-12:20pmWALC B091
20352230Timothy ReeseMWF12:30-1:20pmWALC B091
37879123Timothy ReeseMWF1:30-2:20pmWALC B091
14106231Anand DixitMWF2:30-3:20pmWALC B091
15194130Anand DixitMWF4:30-5:20pmWALC B091
39409113Anand DixitMWF3:30-4:20pmWALC B091
20352230S M Khurshid AlamMWF12:30-1:20pmWALC B091
29220103S M Khurshid AlamMWF11:30am-12:20pmWALC B091

#### 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