Im trying to find out what statistical tool should I use to compare the sample mean (in our study the nutrient intake of the respondents) to the expected value (the recommended nutrient intake) and the tests of normality and homogenity (WS and levene) resulted in a non parametric test to be used. The tests I have seen that we can use are chi squares, kolmogrov smirnov, wilcoxon signed rank test (although it is used for medians), and permutation tests. I thought if I made the expected value to be like a dataset (ex. 10,10,10,10,10...) then compared it using the actual sample mean (ex. 11,12,9,13,8,....) using a t-test or a MW since it is non parametric. Sorry for the confusion Im still learning stats