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housing unit. The difference in this case may be due to the time gap between 1990 and 1995, <br /> or some unknown factor. <br /> Student Generation Rate Comparison <br /> Technical Report Carrboro Study (1994) This Study (1995) <br /> 1990 data <br /> Orange County 0.45 - 0.31 <br /> School District <br /> Chapel Hill-Carrboro 0.29 0.68 0.63 <br /> School District <br /> Statistical Analysis <br /> In the second phase of analysis, statistical analysis techniques were used to determine <br /> the relationships between housing characteristics and the number of children in new housing <br /> units. Bonferroni (means difference) tests were carried out to test the relationship between the <br /> number of public school children and each of the housing characteristics. These tests calculate <br /> the difference in the averages (means) for each set of observations within a certain category. <br /> For instance, what is the difference between the average number of bedrooms for families with <br /> 0 children and for families with 3 children? The tests also consider whether the difference in <br /> the averages is meaningful. <br /> If the observations are similar to each other, the average is useful, and a difference in <br /> two averages from data like this will be meaningful, or 'significant.' In contrast, if the <br /> observations vary dramatically, then an average does not mean much because of the amount of <br /> variation in those observations. Although two averages from data like this may be quite <br /> different, this difference will be meaningless if there-are large variations in the data. For <br /> instance, examine the two samples shown in the table below. <br /> 8 <br />