Statistics; probability, inference, and decision, Volume 1 
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User Review  lvalido  LibraryThingI suspected while reading this story that it would come to a full circle. Honor claims to hate school but really loves it. The rhymes fit the story line and do not seem forced to make the story. The ... Read full review
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User Review  roxygamboa  LibraryThingHonor Brown describes how horrific going to school really is. She dramatizes her teacher as a warty toad, the principal chopping heads off, and her friends being villains and crooks. In the end, she ... Read full review
Contents
Introduction  1 
Elementary Probability Theory  38 
Probability Distributions  103 
Copyright  
7 other sections not shown
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