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national multiple family submetering and allocation billing program ...

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In Table 5.24 the P-value is shown for the difference in water usage between the<br />

submetered <strong>and</strong> in-rent matched properties along with the 95% confidence interval around this<br />

estimate. Using a dependent t-test, the difference in annual water use per unit was statistically<br />

significant (p=0.046). The 95% confidence interval around the water savings suggests that the<br />

difference in water use is likely to range from -0.2 to -19.7 kgal per unit per year in submetered<br />

properties compared to in-rent properties. Similarly, a statistically significant savings was found<br />

for RUBS (p=0.008), as shown in Table 5.25. This is the only analysis from the data collected<br />

for this Study in which such a finding was observed. As mentioned previously <strong>and</strong> discussed<br />

below, it appears the sample drawn for the RUBS/in-rent matched pair analysis was not<br />

representative of the entire manager survey sample.<br />

Table 5.24 Average water use (kgal/unit/year) difference, submetered/in-rent pairs<br />

95% Confidence<br />

Interval for Mean<br />

Mean Difference Std. Error P-value Difference<br />

Lower<br />

Bound<br />

Upper<br />

Bound<br />

In-Rent compared to<br />

Submetered<br />

-9.980 4.684 0.046 -19.750 -0.210<br />

Table 5.25 Average water use (kgal/unit/year) difference, RUBS/in-rent pairs<br />

95% Confidence<br />

Interval for Mean<br />

Mean Difference Std. Error P-value Difference<br />

Lower<br />

Bound<br />

Upper<br />

Bound<br />

In-Rent compared to<br />

RUBS<br />

-18.387 5.890 0.008 -31.112 -5.662<br />

Four types of comparisons were included in this study (large sample from post card<br />

survey of managers; medium sample from mailed survey of managers; small sample of pre-post;<br />

<strong>and</strong> small sample of matched pairs), where each level intended to control better the differences in<br />

property characteristics that could subvert conclusions about <strong>billing</strong> type as the variable<br />

responsible for observed differences in water usage. If all levels of the study supported each<br />

other, conclusions would be strongest. Where three of the four levels are mutually supportive,<br />

but one is not, then one must examine the anomalous finding. In this study, the matched pair<br />

171

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