Normal distribution can be tested for by:
a) plotting the data on a graph and visually inspecting the line
b) using a probability graph in which if it is possible to draw a straight line through the values distribution is normal
c) applying the Chi-Square Test for normal distribution.
d) checking whether the mean, mode and median coincide (which they do if distribution is normal)
or
e) testing that:
68% of all values will fall between -1/+1 standard deviation and
95% of all values will fall between -2/+2 standard deviations.
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