Version 0.9  (rough) (March 13, 2001)
The following require adobe acrobat

Lab 1: Introduction
Graphical Descriptions of Data
Numerical Descriptions of Data
Correlation and Regression
Categorical Data
Appendix A: Saving your Stata work
Appendix B: Adding new functions to Stata
 

LAB 1: HTML version.

UCLA Statistics Data Sets

These chapters were funded by the UCLA Office of Instructional Development.  Co-Principal Investigators: Robert Gould (Dept. of Statistics, UCLA) and Christina Palmer (Psychiatry & Biobehavioral Sciences Department, UCLA School of Medicine), who retain all rights.  Permission to distribute is granted solely to UCLA instructors and soley for  instructional use.

Writer: Monica Arruda de Almeida
Data sets collected by: Jonah Goldstein and Sarah Rothenberg

These "labs" are chapters in a lab manual intended for use in Statistics M11, M12, and M13 classes (Introduction to Statistical Methods in x, where x is Economics, Social Sciences, or Life and Health Sciences.)  Students meet in the lab once a week under the supervision of their TA.  The goal of the lab is to teach Stata, a professional-level statistical software tool, while reinforcing the concepts learned during the regular class.

Features:

ï Each lab should take the student 3 hours: 1 hour in the lab, 2 hours outside.

ï Each lab has an in-class section which teaches basic Stata commands using a simple data set.

ï Each lab has a take-home section which has a more complex, interesting data set, and questions which require some thought and, sometimes, creative data analysis techniques.  The labs can be (and soon will be) tailored to specific disciplines by inserting the appropriate data set.  The UCLA Statistics Data Set Project is attempting to collect a useful library of such data.

ï The labs can be presented in any order, although the Introductory lab should come first.

Chapters currently ready for in-class testing:
(At the moment, there is only one data set for the take-home labs.)

Topic	Take-home Data set	In-class Data set
Logging on for the first time; Starting Stata	NA	NA
Graphical Descriptions of Data	Old Faithful: summarizing eruption lenghts	Old Faithful
Numerical Descriptions	Is captopril an effective drug?	blood pressure
Correlation and Regression	Old Faithful: how long must the tourists wait?	Classroom data
Categorical Data	Does the CDC's prisoner classification system work?	Classroom data
Appendix A: Saving your work	NA	NA
Appendix B: Adding new functions to Stata	NA	chist command

Chapters under development
 

Topic	Data
Comparing Two Groups	Risk assessment
ANOVA
Simulations
Advanced Regression
Chisquare