Exercise

# Comparing groups

In this exercise, you will **compare distributions** of data **across groups**.

The `PlantGrowth`

dataset from the datasets package contains results from an experiment on yields.
The dataset contains two variables:

`group`

- indicates if the given result is from the control group or one of the two treatment groups,`weight`

- the dried weight of plants used to measure yields.

Recall that `tapply()`

can be used to compute metrics across groups.

For example,

```
tapply(df$x, df$grp, FUN = median)
```

returns median of `x`

across `grp`

from the `df`

data frame.

Your task is to **calculate means** and **visualize five common statistics** of the yields' weight. The graphical depiction will help you to compare the differences in the response variable across groups.

Instructions 1/2

**undefined XP**

- Calculate the mean
`weight`

for the control and the two treatment groups. Use the`PlantGrowth`

dataset. - Visualize five common statistics (minimum, first quartile, median, third quartile, and maximum) of
`weight`

across groups.