Exercise

# Null Hypothesis

In this exercise, we formulate the null hypothesis as

short and long time durations have no effect on total distance traveled.

We interpret the "zero effect size" to mean that if we shuffled samples between short and long times, so that two new samples each have a mix of short and long duration trips, and then compute the test statistic, on average it will be zero.

In this exercise, your goal is to perform the shuffling and resampling. Start with the predefined `group_duration_short`

and `group_duration_long`

which are the un-shuffled time duration groups.

Instructions

**100 XP**

- Use
`np.concatenate()`

to combine the two populations, and then use`np.random.shuffle()`

to shuffle the values inside that container. - Slice the
`shuffle_bucket`

in half and use`np.random.choice()`

to resample each`shuffle_half`

. - Compute the
`test_statistic`

by subtracting`resample_half1`

from`resample_half2`

. - Compute the
`effect_size`

as the`np.mean()`

of the`test_statistic`

, and print the result.