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Complex Samples Ratios
Some of the confidence intervals do not overlap; thus, you can conclude that the ratios for the Western county are higher than the ratios for the Northern and Southern counties.
Finally, as a more objective measure, note that the significance values of the t tests for the Western and Southern counties are less than 0.05. Thus, you can conclude that the ratio for the Western county is greater than 1.3 and the ratio for the Southern county is less than 1.3.
Summary
Using the Complex Samples Ratios procedure, you have obtained various statistics for the ratios of Current value to Value at last appraisal. The results suggest that there may be certain inequities in the assessment of property taxes from county to county, namely:
The ratios for the Western county are high, indicating that their records are not as
The ratios for the Southern county are low, indicating that their records are more
The ratios for the Southern county are lower than those of the Western county but are still within the objective goal of 1.3.
Resources used to track property values in the Southern county will be reassigned to the Western county to bring these counties’ ratios in line with the others and with the goal of 1.3.
Related Procedures
The Complex Samples Ratios procedure is a useful tool for obtaining univariate descriptive statistics of the ratio of scale measures for observations obtained via a complex sampling design.
The Complex Samples Sampling Wizard is used to specify complex sampling design specifications and obtain a sample. The sampling plan file created by the Sampling Wizard contains a default analysis plan and can be specified in the Plan dialog box when you are analyzing the sample obtained according to that plan.
The Complex Samples Analysis Preparation Wizard is used to set analysis specifications for an existing complex sample. The analysis plan file created by the Sampling Wizard can be specified in the Plan dialog box when you are analyzing the sample corresponding to that plan.
The Complex Samples Descriptives procedure provides descriptive statistics for scale variables.