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Because of the distribution of data, the data would be best subdivided into those with no housing problems, those with one housing problem, and those

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Because of the distribution of data, the data would be best subdivided into those with no housing problems, those with one housing problem, and those with two or more. I 6. Why?Descriptives Statistic Std. Error Number of housing Mean 1.2586 04726 problems 95% Confidence Interval for Lower Bound 1.1658 Mean Upper Bound 1.3513 5% Trimmed Mean 1.0946 Median 1.0000 Variance 2.220 Std. Deviation 1.49000 Minimum 00 Maximum 8.00 Range 8.00 Interquartile Range 2.00 Skewness 1.479 078 Kurtosis 2.182 155 Number of housing problems T Cumulative Frequency Percent Valid Percent Percent Valid 00 397 39.7 39.9 39.9 1.00 276 27.6 27.8 67.7Descriptives, Overall satisfaction, material well-being 95% Confidence Std. Interval for Mean Deviatio Std. Lower Upper N Mean n Error Bound Bound Minimum Maximum No housing problems 367 12.71 2.353 123 12.47 12.95 16 One housing problems 264 11.97 2.588 159 11.66 12.28 4 16 Two or more housing 304 10.57 2.594 149 10.28 10.86 4 T 16 problems Total 935 11.80 2.658 087 11 63 11.97 4 16 ANOVA Overall satisfaction, material well-being Sum of Squares Mean Square F Sig Between Groups 771.072 2 385 536 61.674 000 Within Groups 5826 111 932 6 251 Total 6597.183 934Cumulative Frequency Percent Valid Percent Percent Valid No housing problems 397 39.7 39.9 39.9 One housing problems 276 27.6 27.8 67.7 Two or more housing 321 32.1 32.3 100.0 problems Total 994 99.4 100.0 Missing System 6 .6 Total 1000 100.0

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