Random sample of wool production in thousands of kilograms on 5 different days at two different locations

WOOL

Format

A data frame with 30 observations on the following 2 variables:

  • production (wool production in thousands of kilograms)

  • location (a factor with levels textileA and textileB.)

References

Ugarte, M. D., Militino, A. F., and Arnholt, A. T. 2015. Probability and Statistics with R, Second Edition. Chapman & Hall / CRC.

Examples

ggplot(data = WOOL, aes(location, production, fill = location)) + geom_boxplot() + 
guides(fill = "none") + scale_fill_brewer()

t.test(production ~ location, data = WOOL)
#> 
#> 	Welch Two Sample t-test
#> 
#> data:  production by location
#> t = -2.266, df = 20.619, p-value = 0.03435
#> alternative hypothesis: true difference in means is not equal to 0
#> 95 percent confidence interval:
#>  -0.42213539 -0.01786461
#> sample estimates:
#> mean in group textileA mean in group textileB 
#>                  1.226                  1.446 
#>