## Statistics; probability, inference, and decision, Volume 1 |

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#### LibraryThing Review

User Review - jforrest21 - LibraryThingThe story was cute. An over exaggeration is something you will defiantly hear from a child that doesn't want to go to school. I would recommend this book to parents to read to their children during the end of the year when they are just like they don't want to go anymore. Read full review

#### LibraryThing Review

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 chi-square class intervals compute confidence interval consider continuous random variable corresponding curve decision theory decision-making decision-rule 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 p-value 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