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This Concept Map, created with IHMC CmapTools, has information related to: Problem Solving - Heuristics - Representativeness, Actual Frequency of the Item in the Population is the Base Rate, Probability of a Sample based on Similarity to the Population is usually determined by Shared Key Characteristics, Probability of a Sample based on Similarity to the Population e.g. When Judging Outcomes of H/T Sequence in Flipping Coins, Base Rate Fallacy occurs even when Rates are Specifically Provided, Bayes' Theorem states that judgements should by influenced by the Base Rate, Representativeness Hueristic can lead to Conjuction Fallacy, Sample Size Fallacy is commly demonstrated in the Small-Sample Fallacy, Sample Size Fallacy occurs when one ignores the Law of Large Numbers, Small-Sample Fallacy assumes that Small Samples will be Representative of the Population, Representativeness Hueristic can lead to Base Rate Fallacy, Bayes' Theorem states that judgements should by influenced by the Likelihood Ratio, Likelihood Ratio should always consider the Base Rate, Representativeness Hueristic occurs when one judges the Probability of a Sample based on Similarity to the Population, Law of Large Numbers states that Large Samples are Representative of the Population, Representativeness Hueristic can lead to Sample Size Fallacy, When Judging Outcomes of H/T Sequence in Flipping Coins people ten to predict Random-Looking Outcomes, Conjuction Fallacy occurs when one judges the Probability of Conjoined Events to be Greater than that of a Constituent Event, Base Rate Fallacy occurs when one ignores the Actual Frequency of the Item in the Population, Representativeness Hueristic favors Random-Looking Outcomes, Base Rate Fallacy can be avoided by applying Bayes' Theorem