Computing Statistics - Values, Frequencies and Quantiles
Values, Frequencies and Quantiles provide statistical functions to obtain specific position measures (quantiles) or to tabulate statistics associated to ordinal values.
They are univariate statistics.
Properties | Description |
|---|---|
General parameters | |
Statistics on integer variables are continuous | If selected, statistics will be displayed as continuous values (e.g. 12,34 instead of a rounded off 12). |
Sample size | |
Number of total valid samples | Number of rows with valid values, not including missing values. |
Values, frequencies and quantiles | |
Distinct values | The number of non coincident (tied) values. |
Absolute frequencies | The number of occurrences of each value. |
Cumulative frequencies | The proportion of values lower than or equal to each observed value. |
Relative frequencies | The proportion of the occurrence of each value. |
Partial means | The average of values lower than or equal to each observed value. |
Partial sums | The sum of values lower than or equal to each observed value. |
Generic quantiles | The calculation of quantiles with an arbitrary number of data subsets. The number of subsets is set in the value for generic quantiles. The default number is 4, i.e. the values of the lower and upper quantiles and median values are displayed. |
Lorenz curve | Calculates the Lorenz distribution in a tabular format. |
Quantile parameters | |
Value for generic quantiles | The threshold value for quantiles. |