I am a first year doctoral graduate student, and I could use a bit of advice.

It's been a few years since my first graduate degree, and things are a bit rusty.

I have been working with a dataset for a week now, and I recently read that one of the assumptions of correlations and other tests (I am also running an independent samples t-test), was having data that was normal. So, I ran both scatter plots and boxplots. On the box-plots, I have 2-3 outliers. I also read that this can "mess up" your results, or that they might not be "true," because of the outliers. Question: Should I take out the outliers? Leave them in? Just report that I found them?

Also, on one of my box plots, instead of a circle to represent an outlier, one of the outliers was represented with a *. Thoughts?

Another question, if you have the time. I figured out the scatterplot on SPSS. Now it looks like a bad game of connect the dots, but apparently it means something. How the heck do I interpret it? It doesn't seem to follow any sort of linear direction. But then again, I am not expert.

Thanks so much for any imput,

Doc Student :wave: