I have five numeric variables of two populations (each of them with 60 individuals) and for each of those five variables I want to know if there is difference in the means.

I was trying to use a simple t-test for this (the t.test R function), but let me explain my concerns to see if it's possible.

One variable of one population do not pass the [Shapiro normality test](https://en.wikipedia.org/wiki/Shapiro%E2%80%93Wilk_test).

Any of the five variables passed [Levene's test](https://en.wikipedia.org/wiki/Levene%27s_test) for 0.05, only one for 0.01 (but is the one containing the not normal distribution in one variable).

Even with all that, would it be a good choice to use the t-test to evaluate the means? What could be a non-parametric alternative that suits my problem?.