I've been working on a Stats problem for days and think I've gone wrong somewhere. Something in me says this problem is very straightforward, and I am over complicating it. Maybe someone can have a read of what I've done, and let me know if I'm on the right tracks.

(I am using SPSS)

I have 3 variables -

**(1)parkName**

*[4 parks]*,

**(2)goldCoins**,

**(3)silverCoins**

The question being asked is:

**Is the OVERALL number of coins collected the same at the 4 locations?**

So, first of all, I've added

**goldCoins**to

**silverCoins**to create a single variable

**totalCoins**.

I now have 2 variables:

**parkName**(1-4 values for factor) and

**totalCoins**

Test of normality assumption is met, so proceeded with one-way ANOVA.

Levene's was not sig,

**F(3,12) = .904, p = .468**so assumption of equality of variance was met too... ANOVA performed and was significant,

**F(3,12) = 64.055, p = .000,**so then I could say the overall number of coins collected IS the same at the 4 locations?

Something just doesn't feel right about how I've done it, even though it is a pretty simple question. And advice would be so helpful.

Thanks!

My data looks like this for the ANOVA: