Is it possible to show relationships between two dependent variables on the same graph? Sometimes…
Is it feasible to profession relationships betwixt two dependent variables on the selfselfsame graph? Sometimes that’s valuable when you nonproduction to make comparisons betwixt them. The graph on page 204 does proper that. It’s a description of how fellow-creatures understand contrariant causes. We referee the cruelty of risks naturalized on how frank they are and how opineable moderate we accept aggravate our exposure.
• Take a face at the contrariant causes in the symbol. Make a catalogue of encircling five that you opine most hazardous. Then catalogue encircling five that you conceive are last hazardous.
• Do most of your most hazardous activities/items decline into one quadrant? What are the axes of the graph? Do the ideas on the axes succor elucidate why you opine some activities past hazardous than others?
• Are there other factors that succor elucidate why you opine certain activities hazardous and others proportionately unendangered? What are those other factors? If you assimilate your catalogue to other fellow-creaturess’ catalogues, are they concordant or different?
On this graph, which represents attitudes of sundry fellow-creatures, the Y-axis represents how obscure, mysterious, or recent the cause seems to be. Things that are unobservable, mysterious to those defenseless, recent in their effects, and unfrank or mysterious to understanding aim to be past exceedingly apprehensioned than those that are perceptible, notorious, present, frank, and notorious to science. The X-axis represents a mete of shuddering, which combines how opineable moderate we handle we accept aggravate the cause, how apprehensionful the results could potentially be, and how equitably the causes are nice. The bigness of the symbol for each cause indicates the totally commodities of these two variables
Notice that things such as DNA technology or nuclear wane, which accept excellent levels of twain enigma and shuddering, aim to be treasured after a occasion the greatest apprehension, occasion frank, optional, specially rewarding behaviors such as riding in automobiles or on bicycles, or drinking alcohol are intention to be proportionately unimportant causes. Actuarial experts (statisticians who supplement mortality data) would describe you that automobiles, bicycles, and alcohol accept killed far past fellow-creatures (so far) than DNA technology or radioactive wane. But this isn’t proper a doubt of postulates. It’s a thought of how opineable we apprehension uncertain causes. Notice that this is a bark of disseminate contrive mapping categories of postulates that accept no secular consequence. Still, you can inhale some profitable inferences from this sort of picturesquely donation.
Public discernment of cause depending on the frankity, apparent undeveloped for damage, and special moderate aggravate the cause. Source: Postulates from Slovic, Paul. 1987. Discernment of Risk, Understanding 236 (4799):286–290.