I let people rate how much they like different things on a scale of 1-10. How do I actually tell if people like one thing more than another thing if the sample sizes are different? This is not about any real scientific study, more like a personal test :)
For example, if one thing got voted on 10 times and has an average value of 6.5, and another thing got voted on 6 times and has a 6.1, is the 6.5 thing actually more liked? Or is this small sample size still so random that it could with a high chance go both ways?
I've never done anything like this, if someone could explain it or direct me to the correct key words/links, that would be hugely appreciated :)
I've read up a bit on p-value determination, but I'm not sure what my "null hypothesis" is here actually, numerically. If I'd put it in words I guess my hypothesis would be "this thing is more liked than the other thing", but honestly, it seems like my specific case would be much simpler than all the stuff I'm reading here :D
Yep, rejection sucks. Until you understand that they're the problem, not you, then "rejection" is just a good filter for yourself. They're filtering themselves out so you don't have to deal with their shittiness.
All the more when they cause a scene. I usually just walk away. Idk about you, how old you are, which social situation you're in, but it's interesting how much you can just walk away from that you never thought you could. Most of the time they either respect you more or don't try their shit anymore because they know it doesn't work on you.
Anyway, I wish you lots of happiness and good interactions instead :)