Spss Boxplot Outliers. 25th and 75th percentiles 1 34 and 4 91 in comparison to. 25th and 75th percentiles 76 and 5 31.
Spss 18 analyze descriptive statistics frequencies statistics quartiles. In addition outliers and extreme values are displayed. However if there are no outliers and extreme values the final lines form the maximum and minimum.
The box length is sometimes called the hspread and is defined as the distance from one hinge of the box to the other hinge.
Outliers can be problematic because they can effect the results of an analysis. An outlier is an observation that lies abnormally far away from other values in a dataset. This tutorial explains how to identify and handle outliers in spss. Spss considers any data value to be an outlier if it is 1 5 times the iqr larger than the third quartile or 1 5 times the iqr smaller than the first quartile.
