Statistics; probability, inference, and decision, Volume 1 
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User Review  rhigginbotham  LibraryThingHonor is a little girl with a huge imagination. She creates stories about why she doesn't want to be in school; her teacher is a toad, they chop off heads of students who talk in class, her friends ... Read full review
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User Review  Nijania  LibraryThingThis story describes the life of typical young children in school. Honor is set up on hating school, but comes to love it. A child's imagination and excuses used can be very, very wild. This story ... Read full review
Contents
Introduction  1 
Elementary Probability Theory  38 
Probability Distributions  103 
Copyright  
7 other sections not shown
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Common terms and phrases
action approximation assume assumptions Bayes Bayesian Bernoulli process beta distribution binomial distribution Chapter chisquare class intervals compute confidence interval consider continuous random variable corresponding curve decision theory decisionmaking decisionrule defective degrees of freedom density function determine discussed elementary events equal Equation EVSI exactly example expected loss expected payoff Figure fractile frequency distribution given graph independent inferences joint event linear loss function mathematical measurement median normal distribution number of successes observations occur optimal outcomes pvalue pair parameter particular percent confidence interval perfect information Poisson population distribution possible values posterior distribution posterior probabilities prior distribution prior probabilities prob probability distribution problem random sample real numbers region of rejection rejection region relative frequency represented rule sample information sample mean sample result sample space sample statistic sample variance sampling distribution score Section simple situation specified standard deviation standard error statement statistician subset Suppose theorem tion toss trials tribution zero