contains the weight of 10 mice before and after the treatment.

A paired-samples t-test can be performed to answer to this question.

It is the data set used in the Datanovia tutorial “T-Test in R: One-Sample, Independent (Student & Welch) & Paired” (https://www.datanovia.com/learn/biostatistics/two-groups/t-test-in-r).

data("mice2")

Format

A data frame with 10 rows and 3 columns.

id

mouse identifier (1 to 10).

before

the mouse weight before the treatment.

after

the mouse weight after the treatment.

Source

A simulated dataset for teaching the paired-samples t-test.

See also

mice, the one-sample companion data set. Datanovia tutorial: T-Test in R: One-Sample, Independent (Student & Welch) & Paired.

Examples

data(mice2)
head(mice2)
#>   id before after
#> 1  1  187.2 429.5
#> 2  2  194.2 404.4
#> 3  3  231.7 405.6
#> 4  4  200.5 397.2
#> 5  5  201.7 377.9
#> 6  6  235.0 445.8

# Paired-samples t-test: did the treatment change the weight?
t.test(mice2$before, mice2$after, paired = TRUE)
#> 
#> 	Paired t-test
#> 
#> data:  mice2$before and mice2$after
#> t = -25.546, df = 9, p-value = 1.039e-09
#> alternative hypothesis: true mean difference is not equal to 0
#> 95 percent confidence interval:
#>  -217.1442 -181.8158
#> sample estimates:
#> mean difference 
#>         -199.48 
#>