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Intervals, which indicate the level of variation in the data and show the range in which <br /> • the true population mean should fall. The Bonferroni test show s t hat there are <br /> statistically significant differences in the number of bedrooms between all family sizes <br /> except between families with 1 child and families with 3+ children, and between <br /> families with 2 children and with 3+ children. The following table shows the <br /> statistically significant differences in the average number of bedrooms for families with <br /> different numbers of public school children. <br /> Significant Differences in Average Number of Bedrooms <br /> by Number of Children <br /> 0 Children 1 Child 2 Children 3+ Children <br /> (Avg = 3.6 (Avg = 3.8 (Avg = 4.0 (Avg = 4.0 <br /> 0 Children 0 -- -- -- <br /> (Avg = 3.6 <br /> 1 Child 0.22 0 -- -- <br /> (Avg = 3.8 <br /> • 2 Children 0.44 0.22 0 -- <br /> (Avg = 4.0 <br /> 3+ Children 0.43 Not Significant Not Significant 0 <br /> (Avg = 4.0 <br /> This table tells the statistically significant differences in average number of bedrooms <br /> for families with different numbers of children. For example, families with 0 children <br /> have an average of 3.6 bedrooms while families with 1 child have an average of 3.8 <br /> bedrooms, for a significant difference of 0.22 bedrooms. As you can see, most of the <br /> differences are significant. The question was then what the differences in average <br /> numbers of children would be for housing units with different numbers of bedrooms. <br /> To determine this, another Bonferroni test was run. The results are summarized in the <br /> table below. <br /> 11 <br />