odor: Odor, yellowing and hardness of optical coating
In EngrExpt: Data sets from "Introductory Statistics for Engineering Experimentation"
Description
Format
Details
References
Examples
Description
Odor, yellowing and hardness of optical coating
Format
A data frame with 35 observations on the following 3 variables.
odora numeric vector
yellowinga numeric vector
hardnessa numeric vector
Details
These data are quality data gathered from 35 random samples of a raw
material used in a lens coating. It is beneficial to understand the
relationships between desired quality characteristics of a product as
one must often compromise one characteristic for another.
References
Peter R. Nelson, Marie Coffin and Karen A. F. Copeland (2003),
Introductory Statistics for Engineering Experimentation,
Elsevier. (Appendix A)
Examples
1
EngrExpt documentation built on May 1, 2019, 9:15 p.m.
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Description Format Details References Examples
Description
Odor, yellowing and hardness of optical coating
Format
A data frame with 35 observations on the following 3 variables.
odora numeric vector
yellowinga numeric vector
hardnessa numeric vector
Details
These data are quality data gathered from 35 random samples of a raw material used in a lens coating. It is beneficial to understand the relationships between desired quality characteristics of a product as one must often compromise one characteristic for another.
References
Peter R. Nelson, Marie Coffin and Karen A. F. Copeland (2003), Introductory Statistics for Engineering Experimentation, Elsevier. (Appendix A)
Examples
1 |
R Package Documentation
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We want your feedback!
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