## Introduction to the theory of statistics |

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### Contents

Introduction | 1 |

Discrete Random Variables | 53 |

Interval Estimation | 248 |

Copyright | |

7 other sections not shown

### Common terms and phrases

95 per cent approximately assume binomial distribution cent confidence interval chi-square distribution coefficient coin compute conditional density conditional distribution confidence interval covariance critical region cumulative distribution decision function defined Definition degrees of freedom denoted density f(x density function distributed with mean drawn equal estimable functions event example expected value gamma distribution given hence independent integral John Wiley joint density large samples Let xi likelihood likelihood-ratio likelihood-ratio test linear loss function marginal density matrix maximum-likelihood estimator mean and variance method minimum-variance unbiased estimator normal density normal distribution normal equations normal population normal with mean null hypothesis observations obtain outcomes Prob problem random sample sample mean sample space spades sufficient statistic Suppose Theorem theory tion tossed total number Type I error unbiased estimator unknown parameters variance a2 variate vector Wiley & Sons