User: Your instructor asks you to compare positive and negative reinforcement and explain your conclusions in class. What will you report?

Weegy: What you report depends a lot on what the data supports - i.e whether positive or negative reinforcement works better, and how well the data supports that conclusion (review how big the sample was, how likely that the conclusion is wrong, [ could the data have arisen randomly, as opposed to it being a true conclusion?). A general statistical analysis on the data should suffice, so long as the conclusion matches what you are reporting. (Always remember that correlation does not mean causation. E.g there are many doctors in areas of many ill people, but that does not mean that doctors are making people ill). Read more: http://wiki.answers.com/Q/What_if_your_instructor_asks_you_to_compare_positive_and_negative_reinforcement_and_explain_your_conclusions_in_class_What_will_you_report#ixzz1WM0XkPWu ]
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