skewedness

the statistical skewedness of the dataset was analyzed using specialized software.

we observed significant right skewedness in the income distribution among participants.

the researcher calculated the skewedness coefficient to assess the data asymmetry.

reducing skewedness in the sample improves the accuracy of regression models.

the test for skewedness revealed that the variable does not follow a normal distribution.

address the skewedness in your data before performing parametric statistical tests.

the skewedness measurement indicated a pronounced left tail in the response times.

high skewedness in customer purchase amounts requires data transformation.

the distribution's skewedness was quantified using pearson's second coefficient.

detecting skewedness early prevents flawed conclusions in statistical analysis.

the skewedness problem stems from outliers in the lower income brackets.

our analysis of skewedness helps identify underlying patterns in the dataset.