WesDaX Glossary
A. Cell Contents
 You must select one of these statistics to be displayed in each cell of your table.
These are additional statistics that you may choose to display in each of the cells of your table.

Cell Percentage  Percent of the total observations for a single cell. The circled percent shown below is a cell percentage. The circled percent indicates that respondents aged 3039 years old with Federal Government tenure of 3 years or less make up 5.5% of the total number of respondents. The upper left cell indicates this is a cell percentage. Also, the bottom right cell (Total x Total) will always equal 100% when a cell percentage is chosen.

Row Percentage  Percent of observations using the row total as the total number of observations. The circled percentage shown below is a row percent. The circled percentage indicates that 65.4% of the respondents aged 3039 years old have been with the Federal Government for 3 years or less. The upper left cell indicates this is a row percentage. The last column (total) will always equal 100% when a row percentage is chosen.

Column Percentage  Percent of observations using the column total as the total number of observations. The circled percent shown below is a column percent. The circled percent indicates that 33.9% of the respondents who have been with the Federal Government for 3 years or less are aged 3039 years old. The upper left cell indicates this is a column percentage. The last row (total) will always equal 100% when a column percentage is chosen.
B. Output Options  Optional statistics you can request to include in your output.

Confidence Interval (95% CI)  A confidence interval is also sometimes referred to as a margin of error. The confidence interval specifies the size of the interval that is expected to contain the true population value of the survey item of interest. Typically, a 95% confidence interval is used  meaning that the true value of the survey item will be contained in this interval 95 percent of the time.

ChiSquare (RS2 and RS3)  RS2 and RS3 chisquare tests are special types of chisquare tests that are used when the data are weighted. The purpose of the test and the way in which the chisquare statistic are interpreted are the same as with the PEARSON chisquare.

Standard Error  The standard error (S.E.) provides an estimation of the extent to which the statistic drawn from a sample differs from the population statistic. The smaller the standard error, the better the sample statistic is as an estimate of the population statistic. The standard error is a measure of sampling error; it refers to error in the estimate due to random fluctuation in the sample.
C. Missing Values  A value may be missing for a survey item if one or more of the following conditions is true:

The respondent does not answer the survey item (i.e., " Missing Data") or is never provided with the opportunity to answer the survey item (i.e., a skip pattern has occurred)
 The respondent indicates he/she does not know the answer, or the survey item is not applicable to him/her (i.e., "Do Not Know/No Basis to Judge")