I am hoping someone can clarify for me a rule of thumb that I was taught for choosing the correct statistical test based on the distribution. For context, this rule was used as part of statistics lesson in a high school ecology class.

I was told that if the data was measured ( eg height, weight, length), I could assume that the data will be normally distributed. If the data was counted ( frequency), I could assume the data would be non-normally distributed. Based on this alone, I would choose the corresponding parametric or non parametric test.

I can't seem to find any information online that backs up this assumption. Could someone please let me know if this makes sense?

Any information on a simple way to calculate normality using basic Excel skills would also be greatly appreciated.

Many thanks