Does anyone know??!! Thanks.:wave:

- Thread starter mandymooples
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Does anyone know??!! Thanks.:wave:

Does anyone know??!! Thanks.:wave:

Further, I don't understand how you can only consider the skewness of a variable in the context of testing for normality without at least considering the kurtosis as well.

Consider the following:

1. Normal distribution has skewness = 0 and kurtosis = 0.

2. Uniform distribution has skewness= 0 and kurtosis = -1.2

3. Bernoulli distribution has skewness= 0 and kurtosis = -2

4. Logistic distribution has skewness = 0 and kutosis = +1.2

5. Double Exponentional dist. has skew =0 and kurtosis = +3.0

2,...,5 are all symmetric non-normal distributions i.e. skew = 0, with kurtosis equal to something other than zero.

In other words, varying the degree of kurtosis has an impact on the shape of a distribution especially in terms of the tail-weight.

I'm in a similar position to the first guy. Dragan's right about considering kurtosis as well as skewness - but does anyone know the actual APA guidelines on reporting violations of normality assumptions? I haven't had any luck finding them, and stats textbooks always seem to give examples for normally-distributed data.

http://my.ilstu.edu/~jhkahn/apastats.html (reference for how to format mean/sd).

APA stands for American Psychological Association, btw