Data for Example 7.19

Selfdefe

## Format

A data frame/tibble with nine observations on three variables

woman

number identifying the woman

before

before the course self-confidence score

after

after the course self-confidence score

## References

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

## Examples


Selfdefe$differ <- Selfdefe$after - Selfdefe$before Selfdefe #> # A tibble: 9 × 4 #> woman before after differ #> <int> <int> <int> <int> #> 1 1 6 7 1 #> 2 2 10 12 2 #> 3 3 8 7 -1 #> 4 4 6 5 -1 #> 5 5 5 8 3 #> 6 6 4 6 2 #> 7 7 3 5 2 #> 8 8 8 8 0 #> 9 9 5 6 1 t.test(Selfdefe$differ, alternative = "greater")
#>
#> 	One Sample t-test
#>
#> data:  Selfdefe$differ #> t = 2.1213, df = 8, p-value = 0.03334 #> alternative hypothesis: true mean is greater than 0 #> 95 percent confidence interval: #> 0.1234006 Inf #> sample estimates: #> mean of x #> 1 #> t.test(Selfdefe$after, Selfdefe$before, paired = TRUE, alternative = "greater") #> #> Paired t-test #> #> data: Selfdefe$after and Selfdefe\$before
#> t = 2.1213, df = 8, p-value = 0.03334
#> alternative hypothesis: true difference in means is greater than 0
#> 95 percent confidence interval:
#>  0.1234006       Inf
#> sample estimates:
#> mean of the differences
#>                       1
#>