A unified approach to testing hypotheses about parameters of a normal population.

Book: 
Proceedings of the Seventh International Conference On Teaching Statistics (ICOTS-7), Salvador, Brazil.
Authors: 
Kolev, N., & Paiva, D.
Editors: 
Rossman, A., & Chance, B.
Type: 
Conference Paper
Category: 
Teaching
Year: 
2006
Publisher: 
Voorburg, The Netherlands: International Statistical Institute.
URL: 
http://www.stat.auckland.ac.nz/~iase/publications/17/C331.pdf
Abstract: 

We discuss our practice related to classical hypothesis testing about unknown parameters of a normal population offered to undergraduates in the University of São Paulo. We consider the tests for the population mean and variance when the sample size is "large" and "small" as well as the well-known tests comparing the means and variances for independent samples. We suggest an algorithmic approach, which our students appreciate

The CAUSE Research Group is supported in part by a member initiative grant from the American Statistical Association’s Section on Statistics and Data Science Education

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