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STAT 104: Section 4 27 Feb, 2008 TF: Daniel Moon
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Agenda of Today Observational Study vs. Design of Experiment Population vs. Sample Probability Rules Bayes’ Rule
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Observational Study vs. Experimental Design Collects information from individuals making no attempt to influence the responses Various ways to collect information Simple random sampling, stratified random sampling, multi-stage sampling Imposes an intervention on individuals in order to observe their responses 3 principles Control Randomization Repetition Observational Study Experimental Design
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Population and Samples Population Sample Parameter Statistic
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Bias and Variability Bias Distance of the center of the sampling distribution from the true parameter Variability Variance of the sampling distribution Size doesn’t matter!
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Agenda of Today Observational Study vs. Experimental of Design Population vs. Sample Probability Rules Bayes’ Rule
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Sample Space & Event Sample Space A set of all possible outcomes for an activity or experiment. Examples Event a set of outcomes (a subset of the sample space) to which a probability is assignedsetsubsetsample space P(Event) = |Event| / |Sample Space|
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Probability Rules P(A B) = P (A & B) – intersection P(A B) = P (A or B) – union P (A B) = P(A) + P(B) - P(A B) 0 ≤ P(A B) ≤ P(A) or P(B) ≤ P(A B) ≤ P(A) + P(B) P(A B) = P(A|B) x P(B)
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Probability Rules If Mutually Exclusive P(A B) = 0 P(A|B) = 0 P (A B) = P(A) + P(B) If Independent P(A|B) = P(A) P(A B) = P(A) x P(B)
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Problems DJ Shuffle Combination: Order doesn’t matter! N choose K Permutation: Order matters! Line-up M&M’s Probability Distribution describes the values and probabilities that a random event can take placeprobabilitiesrandom event total probabilities must sum to exactly 1, or 100%sum
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Bayes Rule
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Find the iPod!!! What is the probability you picked up friend A’s iPod given the first song you listened was Rock? Friend A listens to, 30% Rock, 70% Ballads Friend B listens to, 80% Rock, 20% Ballads Given a 50% chance you picked up friend A or friend B’s ipods
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Drug Testing Many staff are falsely worried by a positive TB test From Lecture Note 12
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