I looked this up quite a bit, and found alot about it, but I'm still not entirely sure if I got it right. I just recently got an assignment back with some needed corrections; this one is about Levene's test and t-test. My lecturer wants me to do a Levene's test (robvar in Stata), and I get these results:

As I have understood so far, the higher the p-value (Pr > F in Stata), the higher the odds that observations will deviate from the total (or mean?) (~3.27). My lecturer only wants me to do a t-test if it passes the Levene test, of course. So, if I only accept 95% confidence intervals (0.05), it would fail the Levene test (just barely), right? Indicating just a little too much variance?

I've read that you need to look for W0, but what about the others, what do they mean?

Code:

```
W0 = 3.1939829 df(1, 757) Pr > F = 0.07430973
W50 = 3.2780661 df(1, 757) Pr > F = 0.07060797
W10 = 3.3437674 df(1, 757) Pr > F = 0.06785331
```

I've read that you need to look for W0, but what about the others, what do they mean?

Last edited: