Data for Exercise 7.40

Backtoback

## Format

A data frame/tibble with 24 observations on two variables

score

a numeric vector

group

a numeric vector

## References

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

## Examples


wilcox.test(score ~ group, data = Backtoback)
#> Warning: cannot compute exact p-value with ties
#>
#> 	Wilcoxon rank sum test with continuity correction
#>
#> data:  score by group
#> W = 70, p-value = 0.931
#> alternative hypothesis: true location shift is not equal to 0
#>
t.test(score ~ group, data = Backtoback)
#>
#> 	Welch Two Sample t-test
#>
#> data:  score by group
#> t = -0.063039, df = 21.914, p-value = 0.9503
#> alternative hypothesis: true difference in means is not equal to 0
#> 95 percent confidence interval:
#>  -19.77837  18.61170
#> sample estimates:
#> mean in group 1 mean in group 2
#>        193.6667        194.2500
#>