`R/BSDA-package.R`

`Backtoback.Rd`

Data for Exercise 7.40

`Backtoback`

A data frame/tibble with 24 observations on two variables

- score
a numeric vector

- group
a numeric vector

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

```
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
#>
```