Feedback

Question:

If I intended to conduct a test similar to Levene’s test for

equal variances

using scipy stats, where two outputs (the test statistic and p-value) are generated for all the data in a dictionary, how can I add the outputs for each test to two separate lists? I attempted the following code:

```
test_stat[]
p_value[]
for i in range(0, n_data):
for j in range(1, n_name):
test_stat[i], p_value[i] = scipy.stats.levene(data[i][name[j-1]],
data[i][name[j]],
center='median')
```

However, this approach is clearly not the right one, as I consistently encounter an

IndexError

error due to the list assignment index being out of range.

I would greatly appreciate any suggestions. Thank you!

Solution:

It is not necessary for everything to be in one line; this alternative approach should be effective.

```
test_stats = []
p_values = []
for i in range(0, n_data):
for j in range(1, n_name):
test_stat, p_value = scipy.stats.levene(data[i][name[j-1]],
data[i][name[j]],
center='median')
test_stats.append(test_stat)
p_values.append(p_value)
```

Adding

n_data * n_name

rows is, of course, implied.