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<br />/.- <br /> <br />. <br /> <br />. <br /> <br />. <br /> <br />"" <br /> <br />Method of Analvsis <br />A pair of statisticians were hired to determine and carry out statistical methods and tests <br />that would be most appropriate and meaningful for the purpose of this analysis. Several <br />key factors were taken into consideration when performing the analysis. The change in <br />actual ET rates from year to year can vary by several inches. Therefore, if one year was <br />extremely dry, households would be much more likely to use more water in that year as <br />compared with a year that was wetter than normal. Without taking ET rates into account, <br />changes in water usage could be incorrectly attributed to Slow the Flow Colorado instead <br />of the simple change in ET requirements. Additionally, the statisticians pointed out that <br />without comparing water usage in relation to landscape size, water consumption data is <br />not meaningful because large water users may be using an appropriate amount of water <br />given their landscape size and water requirements. <br /> <br />Although performing an analysis that expresses the results in terms of gallons saved <br />would be desirable, the results of such an analysis would not be statistically meaningful. <br />In order to conduct a statistically meaningful analysis of water consumption, data would <br />have to be compared against a mean, and expressing results in terms of gallons saved was <br />ruled out as the most accurate method of expressing the effectiveness of the Slow the <br />Flow Colorado Program. A large variance in the number of gallons used by each <br />household existed in the water records. The watering habits of households that were <br />using extremely large amounts of water would overshadow any changes made by <br />households using less amounts of water. <br /> <br />It was determined that percent above or below (noted as +/- ) ET would be the most <br />accurate and effective means of comparison. Percent +/- ET takes into account the ET <br />rate for the year being analyzed as well as the amount of water used in relation to the <br />household's landscape size. Moreover, since all of the data was expressed as a ratio, the <br />problem of large water users overshadowing the rest of the group was considerably <br />reduced. <br /> <br />The study groups were analyzed in several different configurations for the purposes of <br />performing statistical tests. Each group was analyzed as a whole for the pre-inspection <br />year and for the post-inspection year. Each group was also broken up into two sub- <br />groups, which included households that watered above ET prior to the inspection and <br />households that watered below ET prior to the inspection. This was done to observe <br />whether these two groups behaved differently following the inspection since pre- <br />inspection behaviors were initially different. <br /> <br />The standard deviation was calculated for each of the abovementioned groups and was <br />used to describe the distribution of the data and to form a test statistic (such as at-test). <br />A normality test was also performed for each ofthese groups to test whether or not the <br />data was normally distributed. The results ofthe normality tests helped dictate which <br />statistical methods were most appropriate for the analysis. <br />