You should always include body text in your post, not just an
informative subject line. Some web based news servers do not permit
replies to posts that have no body.

Excel has no built-in tests for Normality, but it also is not a
statistical package (it is a spreadsheet that has some limited
statistical capabilities built in).

The usual quantitative tests, such as Shapiro-Wilk would require that
you insert tabled values
http://www.itl.nist.gov/div898/handb...on2/prc213.htm
or use a commercial Add-In such as
http://www.analyse-it.com/shapiro-wi...ity-test_y.htm
If you don't mind translating Fortran, then you might look at
http://lib.stat.cmu.edu/apstat/R94

You could do a rough and ready chi-square test, by dividing the real
line into a n intervals, each having an expected value under normality
of at least 5 observations with your sample size. Then sum
(Observed-Expected)^2/Expected and compare to CHIINV(alpha,n-1) where
alpha is suitably small (say 0.05)

Qualitatively, you could plot the data as a histogram and observe
whether it looks roughly bell-shaped.

A more discriminating qualitative approach would be to do a normal
probability plot. Mike Middleton has a downloadable paper on this at
http://www.usfca.edu/~middleton/data.htm

If you want a full-blown statistics package, R is free
www.r-project.org

Jerry