HAMMONDLA11 - 7.5871 65 783 74.670 5 783/12=65.25...

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Summary statistics: Column n Mean Variance Std. Dev. Std. Err. Median Range Min Max Q1 Q3 Frequenc y 12 65.25 442.9318 2 21.04594 6 6.075441 4 64 57 37 94 43 83.5 Chi-Square goodness-of-fit results: Observed: Frequency Expected: var3 N DF Chi-Square P-Value 783 11 74.6705 1.5677237E-11 O E O-E (O-E)^2 (O- E)^2/E 37 65.25 -28.25 798.0625 12.230 84 42 65.25 -23.25 540.5625 8.2844 83 43 65.25 -22.25 495.0625 7.5871 65 62 65.25 -3.25 10.5625 0.1618 77 79 65.25 13.75 189.0625 2.8975 1 93 65.25 27.75 770.0625 11.801 72 66 65.25 0.75 0.5625 0.0086 21 86 65.25 20.75 430.5625 6.5986 59 81 65.25 15.75 248.0625 3.8017 24 94 65.25 28.75 826.5625 12.667 62 57 65.25 -8.25 68.0625 1.0431 03 43 65.25 -22.25 495.0625
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Unformatted text preview: 7.5871 65 783 74.670 5 783/12=65.25 Interpretation Reject There is enough evidence at the 10% significance level to conclude that fatal bicycle accidents are not uniformly distributed by month #2 A situation where a chi-square goodness of fit test would be appropriate is to test a claim of where women have their children is not uniformly distrusted by category. The categories are at home, in hospital, in birthing center and other. If 700 people were surveyed, the expected frequency would be 175....
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HAMMONDLA11 - 7.5871 65 783 74.670 5 783/12=65.25...

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