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Smokyph

Water pH levels of 75 water samples taken in the Great Smoky Mountains


Description

Data for Exercises 6.40, 6.59, 7.10, and 7.35

Usage

Smokyph

Format

A data frame/tibble with 75 observations on three variables

waterph

water sample pH level

code

charater variable with values low (elevation below 0.6 miles), and high (elevation above 0.6 miles)

elev

elevation in miles

Source

Schmoyer, R. L. (1994), Permutation Tests for Correlation in Regression Errors, Journal of the American Statistical Association, 89, 1507-1516.

References

Kitchens, L. J. (2003) Basic Statistics and Data Analysis. Pacific Grove, CA: Brooks/Cole, a division of Thomson Learning.

Examples

summary(Smokyph$waterph)
tapply(Smokyph$waterph, Smokyph$code, mean)
stripchart(waterph ~ code, data = Smokyph, method = "stack",
           pch = 19, col = c("red", "blue"))
           t.test(Smokyph$waterph, mu = 7)
           SIGN.test(Smokyph$waterph, md = 7)
           t.test(waterph ~ code, data = Smokyph, alternative = "less")
           t.test(waterph ~ code, data = Smokyph, conf.level = 0.90)
 ## Not run: 
 library(ggplot2)
 ggplot2::ggplot(data = Smokyph, aes(x = waterph, fill = code)) + 
            geom_dotplot() + 
            facet_grid(code ~ .) + 
            guides(fill = FALSE)

## End(Not run)

BSDA

Basic Statistics and Data Analysis

v1.2.0
GPL (>= 2)
Authors
Alan T. Arnholt [aut, cre], Ben Evans [aut]
Initial release
2017-07-29

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