Name

Description


Counts

Shows the number of cases that satisfy the row and column conditions for each cell. If the table is weighted, the counts are the weighted counts.

Column base

Shows the number of cases in the column base. This is shown in the base row of the table. This cell item is useful when the base row is hidden or when tables are so large that the row is not always visible.

Row base

Shows the number of cases in the row base. This is shown in the base column of the table. This cell item is useful when the base column is hidden or when tables are so large that the column is not always visible.

Unweighted column base

Shows the unweighted base for the column. This is shown in the base row of the table. This cell item is useful when the unweighted base row is hidden or when tables are so large that the row is not always visible.

Unweighted row base

Shows the unweighted base for the row. This is shown in the base column of the table. This cell item is useful when the unweighted base column is hidden or when tables are so large that the column is not always visible.

Column percentages

Expresses the count or sum of a numeric variable as a percentage of the base for the column. Expressing figures as percentages can make it easier to interpret and compare the data in a table.

Cumulative column percentages

Expresses the column percentages as cumulative percentages.

Cumulative row percentages

Expresses the row percentages as cumulative percentages.

Expected values

Shows the count or sum of a numeric variable that would be expected in the cell if the row and column variables are statistically independent or unrelated to each other.

Indices

Calculated for each cell by dividing the row percentage in the cell by the row percentage for the same column in the base row. Indices show how closely row percentages in a row reflect the row percentages in the base row. The nearer a row's indices are to 100%, the more closely that row mirrors the base row.

Maximum

Shows the largest value.

Mean

Gives a measure of central tendency. It is the arithmetic averagethe sum divided by the number of cases who gave a response for the numeric variable.

Median

Shows the value above and below which half of the cases fall (the 50th percentile). If there is an even number of cases, the median is the average of the two middle cases when they are sorted in ascending or descending order. The median is a measure of central tendency not sensitive to outlying values (unlike the mean, which can be affected by one or more extremely high or low values).

Minimum

Shows the smallest value.

Mode

Shows the most frequently occurring value. When several values share the greatest frequency of occurrence, each of them is a mode. UNICOM Intelligence Reporter displays only one mode in each cell – when there is more than one mode, UNICOM Intelligence Reporter displays the first mode that it encounters in the data.

Percentile

Shows the value that divides cases according to values below which certain percentages fall. For example, the 25th percentile is the value below which 25% of cases fall.

Range

Shows the difference between the largest and smallest values: the maximum minus the minimum.

Residuals

Shows the difference between the count or sum of a numeric variable and the expected values. Large absolute values for the residuals indicate that the observed values are very different from the predicted values.

Row percentages

Expresses the count or sum of a numeric variable as a percentage of the base for the row.

Sample variance

Shows the sample variance, which is a measure of dispersion around the mean, equal to the sum of squared deviations from the mean divided by one less than the number of cases. The sample variance is measured in units that are the square of those of the variable itself.

Standard deviation

This summary statistic of a numeric variable shows a measure of dispersion around the mean. In a normal distribution, 68% of cases fall within one standard deviation of the mean and 95% of cases fall within two standard deviations. For example, if the mean age is 45 with a standard deviation of 10, then 95% of the cases would be between 25 and 65 in a normal distribution.

Standard error

Shows a measure of how much the value of the mean might vary from sample to sample taken from the same distribution.
The standard error of the sample mean can be used to estimate a mean value for the population as a whole. In a normal distribution, 95% of the values of the mean should lie in the range of plus or minus two times the standard error from the mean. Additionally, the standard error can be used to roughly compare the observed mean to a hypothesized value of another mean (that is, you can conclude that the two values are different if there is no overlap in the values of the means plus or minus two times the standard error).

Status

The Status CellItem is defined by a FormatExpression that specifies a string to be used with the stylesheet to format the cell. “R”, “Y”, and “G” are used to create traffic report style highlighting.
The string can also be displayed in the cell: Click Tools > Options > Results Display Options. In the Results Display Options dialog, click Advanced.

Sum

Shows the sum or total of the values.

Total percentages

Expresses the count or sum of a numeric variable as a percentage of the base for the table.

Unweighted counts

In a weighted table, these are the unweighted counts. In an unweighted table, the counts and the unweighted counts are identical.
