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Unformatted text preview: according to rules of probabilities Probability Distribution of Random Variables The probability distribution of random variable x, p(a) gives the probability that the random variable will take on each of possible values. Sampling Distribution and Confidence Interval Point Estimators Biased Sample – does not represent all characteristics of population Point Estimate vs. Interval Estimate μ σ Statistic – describes sample Parameter – describes population Point Estimates Mean, standard deviation, mode, and median. μ v/x Type of Computer 03m 36m 612m Total Notebook 34 15 258 448 Desktop 56 346 128 530 Total 90 592 386 978 σ S Point estimate for quantitative variables. Comparing two populations… Comparing mean and variances… __ __ μ 1 – μ 2 X 1 – X 2 Common Point Estimator σ 1 2 = 1 σ 2 1...
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 Fall '07
 DiAGNE
 Normal Distribution, Probability theory, $4000, $350, $240

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