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Webinar: Precision and sample-size analysis for confidence intervals

Overview

Duration: 1 hour
Where: Join us from anywhere!
Cost: Free—but registrations are limited

Precision and sample-size analysis is used to determine the optimal allocation of resources for studies that use confidence intervals (CIs) for inference. For example, you may be trying to balance the sample size allowed by your budget and the one required to obtain your desired level of precision. This precision, measured by the width of the CI, depends on aspects of the study such as the sample size, confidence level, and standard deviation.

With Stata's ciwidth suite, you can explore values of these parameters to ensure that you obtain a CI with a prespecified level of precision in a future study. You can perform precision and sample-size analysis for CIs for a population mean, a population variance, a difference between paired means, or a difference between two independent means.

Join Gabriela Ortiz, Applied Econometrician, as she shows you how to compute sample size, CI width, and probability of CI width in Stata. Find out how this applies to studies with different allocation ratios and how you can perform sensitivity analysis with tables and graphs.

How to join

The webinar is free, but you must register to attend. Registrations are limited, so register soon. Register by clicking the desired date of your course above.

We will send you an email prior to the start of the course with instructions on how to access the webinar. You will need access to Adobe Connect to attend.

Presenter: Gabriela Ortiz

Gabriela Ortiz portrait

Gabriela Ortiz is an Applied Econometrician at StataCorp. She holds a bachelor's degree in psychology from the University of California, Davis, and a master's degree in economics from California State University, Long Beach. Gabriela is a primary author of Stata's reporting manual and has contributed to the development of each of the reporting features. She also developed and regularly teaches Stata's introductory webinars.


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