chapter 12 practice: bivariate association fo...
chapter 12 practice: bivariate association for nominal - and ordinal - level variables\n\n|enforcement action (y)|driver age (x)| | | |totals|\n|----|----|----|----|----|----|\n| |16 - 24|25 - 44|45 - 64|65 or older| |\n|ticket|268|357|446|713|1,784|\n|warning|241|157|525|126|1,049|\n|no action|332|173|73|86|664|\n|totals|841|687|1,044|925|3,497|\n\nchi square = 760.69, df = 6, p < 0.001.\n\nyou are interested in the possible association between drivers age and type of enforcement action. since this bivariate table is larger than 2 x 2, the measure phi is not appropriate. instead, you use cramers v to assess the strength of the relationship. calculate cramers v for this table. (note: the value of chi square is provided for you in the table.)\n\ncramers v = \n\nthis result indicates a relationship between drivers age and type of enforcement action.\n\nwhich of the following conclusions are valid from this analysis? check all that apply.\n\n□ there is a moderate association between the type of enforcement action at traffic stops and the age of the driver.\n□ the type of enforcement action at a traffic stop affects the drivers perception of police behavior.\n□ the age of a driver affects the enforcement decision of police at traffic stops.\n□ there is a strong association between the type of enforcement action at traffic stops and the age of the driver.