The opportunity of law enforcement officers to exercise choise in there daily activities is called

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(adapted from m. m. duguid and j. a. goncalo, living large: the powerful overestimate their own height. ) in a study of power and self-image, participants were not told the true purpose of the study; instead, they believed they were participating in a business simulation. researchers randomly assigned participants to a high power(n = 44) or low-power (n = 44) condition. in the high-power condition, participants recalled a time when they had power over others, and in the low-power condition, they recalled a time when others had power over them. participants were asked to adjust the height (in centimeters) of an electronic graphical image (an avatar)of themselves to reflect their personal appearance. results indicated a statistically significant difference in participants’ perceptions of their own height across the two conditions. participants in the high-power condition created taller self-images (mean = 6.0, standard deviation = 1.5) than participants in the low-power condition(mean = 4.0, standard deviation = 1.0). * describe independent variable- describe how researchers measured the independent variable- explain why the researchers can conclude that there is a cause-and-effect relationship between the independent and dependent variables. - explain what statistical significance means in the context of the study.- explain why debriefing would be necessary in the study. -

Researchers pose the question: can shoe size be predicted from a woman's height? a random sample of 18 females and their shoe size versus height (in inches) gives the regression results shown in the table. predictor coeff se coeff t ratio p-value constant -45.74 32.58 -2.57 0.147 height 0.5943 0.2984 1.99 0.042 s = 3.2178 r-sq. = 18.9% r-sq. (adj) = 12.4% is there statistical evidence of a linear relationship between shoe size and height? no, because r2, the coefficient of determination, is too small no, because 0.147 is above any reasonable significance level yes, there is evidence at the 5% significance level yes, because, by any reasonable observation, taller women tend to have a larger shoe size