I have a sample of 48. According to the central limit theorem, may I consider means of every continuous variants in my sample having normal distribution. However, one variant have mean of 14 +/- 8 and when I draw normal quantile plot, it seems that not normal distribution. If I use t-test to compare this variant between 2 groups, p - value is < 0.05 and the diffenrence is significant. But when I use Wilcoxon test I have the result p = 0,07 > 0,05 and I cannot conclude the significant difference between 2 groups. Which test must I have to use in this situation, t-test or Wilcoxon test?

I have a sample of 48. According to the central limit theorem, I may consider means of every continuous variable in my sample to have a normal distribution. However, one variable has a mean of 14 +/- 8 and when I draw a normal quantile plot, it seems to not be a normal distribution. If I use a t-test to compare this variable between 2 groups then the p - value is < 0.05 and the diffenrence is significant. But when I use a Wilcoxon test I have the result, p = 0.07 and I cannot conclude a significant difference between 2 groups.

Which test must I have to use in this situation, t-test or Wilcoxon test?