ATHK1001 Study Guide - Final Guide: Statistical Inference, Descriptive Statistics, Standard Deviation

• School: University of Sydney
• Department: Analytical Thinking
• Course: ATHK1001
• Professor: bruce burns

Document Summary

#1 what is analytic thinking: analytic thinking is methodologically breaking down complex problems in manageable components, 8 elements of thoughts, purpose, question at issue. Implications and consequences: point of view, 2 reasons to study analytic thinking, being able to understand and reason from facts and data, x suffer from (cid:862)illusio(cid:374)s of thought(cid:863, cognitive illusions, perceptual illusions. #2 why study statistics: plausibility of conclusions, 4 uses of statistical analysis, description and comparison, way of collapsing complex information into 1 number. Sampling is gathering data from a small area or part of the population so that it is representative of the whole population: assessing risk and probability. Identifying important relationships: regression analysis: isolate different factors. Sum of scores divided by number of scores: median: the middle data point that divides the data in half, ca(cid:374) (cid:271)e di(cid:448)ided i(cid:374)to (cid:395)ua(cid:396)tiles, de(cid:272)iles , can distinguish absolute from relative scores, mode: most common score.