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OBSERVED FREQUENCIES RACE * POLICE SPENDING Race Police Spending White Black Other Total Too Little 133 30 20 183 About Right 71 14 13 98
OBSERVED FREQUENCIES | RACE * POLICE SPENDING | ||||||
Race | |||||||
Police Spending | White | Black | Other | Total | |||
Too Little | 133 | 30 | 20 | 183 | |||
About Right | 71 | 14 | 13 | 98 | |||
Too Much | 12 | 5 | 3 | 20 | |||
Total | 216 | 49 | 36 | 301 | |||
EXPECTED FREQUENCIES | |||||||
Race | |||||||
Police Spending | White | Black | Other | Total | |||
Too Little | 131.3222591 | 29.7907 | 21.88704319 | 183 | |||
About Right | 70.3255814 | 15.95349 | 11.72093023 | 98 | |||
Too Much | 14.35215947 | 3.255814 | 2.392026578 | 20 | |||
Total | 216 | 49 | 36 | 301 | |||
CHI-SQUARE TEST | |||||||
CHI-SQUARED | 2.045257 | ||||||
DF | 4 | ||||||
P-VALUE | 0.727435 | ||||||
GOF FOLLOW-UPS | |||||||
*Assuming equality under null* | |||||||
Police Spending | White | Police Spending | Black | Police Spending | Other | ||
Too Little | 133 | Too Little | 30 | Too Little | 20 | ||
About Right | 71 | About Right | 14 | About Right | 13 | ||
Too Much | 12 | Too Much | 5 | Too Much | 3 | ||
216 | 49 | 36 | |||||
CHI-SQUARE TESTS | |||||||
CHI-SQUARE | 101.6944444 | CHI-SQUARE | 19.63265 | CHI-SQUARE | 12.16667 | ||
DF | 1 | DF | 1 | DF | 1 | ||
P-VALUE | 8.2667E-23 | P-VALUE | 5.46E-05 | P-VALUE | 0.002281 |
What would be two major statistical findings that I would convey to a scientific audience?
What kind of graphs should I use to visualize this info?
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