Anyone good with statistics?? I've conducted an experiment looking at phonetic symbolism in Japanese words. Thirty participants listened to 40 Japanese words and had to choose out of a choice of two possible English translations which one they thought was the correct answer. I'm trying to find out whether or not the participants could give the correct answer at an above-chance expectancy level. Since they didn't know Japanese, we can assume that they had a 50% chance of giving the correct answer (since there were two possible answers for each word- a correct and incorrect one). There were 705 correct answers out of 1200 possible correct answers (30 x 40). This is more than half, but is it significantly more than half? I wasn't sure of the correct statistical test to use, but I used a Chi-square test and followed the instructions on this page: visualstatistics.net/SPSS%20workbook/chi-square_goodness_of_fit.htm Obviously they use a different example but I'm pretty sure it's the same thing: comparing observed frequencies with expected frequencies. The results suggested that it was massively significant. However, even if they only got 614 correct and 586 incorrect, it still reports a significant difference (Chi square = .653, Asymp. Sig. = .419). This doesn't seem right to me, it seems very low. If I tossed a coin 1200 times and it landed heads 614 times, then that means the coin is weighted?? 705/1200 is only 58.75%, and that's significant? I'm surely doing something wrong..