skewness

the statistical skewness of the dataset indicates a positive bias toward higher values.

positive skewness means the distribution has a longer tail on the right side.

we calculated the coefficient of skewness to assess the asymmetry of the data.

the negative skewness suggests that most values are clustered at the upper end.

when analyzing financial returns, investors often examine skewness and kurtosis.

the skewness value of 0.5 indicates a moderately skewed distribution.

researchers detected significant skewness in the survey responses.

the skewness of the distribution explains why the mean exceeds the median.

a histogram can visually reveal the skewness of a dataset.

understanding skewness helps in choosing appropriate statistical tests.

the test for skewness determines whether the data follows a normal distribution.

non-zero skewness indicates that the data is not symmetrically distributed.