## What are acceptable skewness values?

As a general rule of thumb: If skewness is less than -1 or greater than 1, the distribution is highly skewed. If skewness is between -1 and -0.5 or between 0.5 and 1, the distribution is moderately skewed. If skewness is between -0.5 and 0.5, the distribution is approximately symmetric.

## What is the acceptable range of skewness for normal distribution of data?

The values for asymmetry and kurtosis between -2 and +2 are considered acceptable in order to prove normal univariate distribution (George & Mallery, 2010). Hair et al. (2010) and Bryne (2010) argued that data is considered to be normal if skewness is between ‐2 to +2 and kurtosis is between ‐7 to +7.

**How do you read skewness?**

If skewness is positive, the data are positively skewed or skewed right, meaning that the right tail of the distribution is longer than the left. If skewness is negative, the data are negatively skewed or skewed left, meaning that the left tail is longer. If skewness = 0, the data are perfectly symmetrical.

### What is the acceptable range of skewness and kurtosis for normal distribution?

Some says for skewness ( − 1, 1) and ( − 2, 2) for kurtosis is an acceptable range for being normally distributed. Some says ( − 1.96, 1.96) for skewness is an acceptable range. I found a detailed discussion here: What is the acceptable range of skewness and kurtosis for normal distribution of data regarding this issue.

### What if skewness is 0 or 1?

The skewness value can be positive or negative, or even undefined. If skewness is 0, the data are perfectly symmetrical, although it is quite unlikely for real-world data. As a general rule of thumb: If skewness is less than -1 or greater than 1, the distribution is highly skewed.

**What is the acceptable range of skewed data?**

University of Balochistan The values within the range of +1.96 and -1.96 are the said to be acceptable. Beyond these limits can be called skewed data !! Cite 2 Recommendations

## What is a good skewness for non-normality?

Either an absolute skew value larger than 2 or an absolute kurtosis (proper) larger than 7 may be used as reference values for determining substantial non-normality. …. The rule of thumb I use is to compare the value for skewness to +/- 1.0. You do not divide by the standard error.