Now that we’ve found Q2, we can use that value to help us find Q1 and Q3. Recall our demo dataset:

`$[-108, 4, 8, 15, 16, 23, 42]$`

In this example, Q2 is `15`

. To find Q1, we take all of the data points smaller than Q2 and find the median of *those* points. In this case, the points smaller than Q2 are:

`$[-108, 4, 8]$`

The median of that smaller dataset is `4`

. That’s Q1!

To find Q3, do the same process using the points that are larger than Q2. We have the following points:

`$[16, 23, 42]$`

The median of *those* points is `23`

. That’s Q3! We now have three points that split the original dataset into groups of four equal sizes.

### Instructions

**1.**

Find the first quartile of `dataset_one`

and store it in a variable named `dataset_one_q1`

.

**2.**

Find the third quartile of `dataset_one`

and store it in a variable named `dataset_one_q3`

.

**3.**

Find Q1 and Q3 of `dataset_two`

. Store the values in variables named `dataset_two_q1`

and `dataset_two_q3`

.

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