## Statistical Methods: An Introductory TextThe Preface Elucidates That The Text Is Designed For Degree Courses In India. However, I Imagine That It Could Play A Useful Role For Those In Britain. It Is Mainly Intended As An Introductory Text For Those Studying Social Sciences And Economics. Individuals From Other Disciplines Would, No Doubt, Still Find It Useful As A General Reference.The Chapters Are Well Written And Easy To Follow. An Appealing Feature Of The Book Is That Much Emphasis Is Placed On The Understanding And Application Of Statistical Methods. There Is Avoidance Of Excessive Presentation Of Formulae. For These Reasons Alone I Think That Students Will Find The Text Attractive. Each Chapter Finishes With A Series Of Well-Formulated Questions, Which Test The Readers' Understanding.The Two Chapters On Statistical Inference And Tests Of Significance Are Excellent.It Is A Comprehensive And Interesting Text, One That I Think Most Students Would Find Useful. Indeed, It Is An Useful Addition To My Library, Having Already Referred To It Often. The Statistician, London, Vol. 45, No. 3 (1996). |

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### Contents

Preface | 1 |

COLLECTION OF DATA | 8 |

MEASURES OF LOCATION AND DISPERSION | 53 |

INDEX NUMBERS | 94 |

Probability and Mathematical Statistics | 125 |

RANDOM VARIABLE AND PROBABILITY DISTRIBUTION | 151 |

categories 7 79 | 179 |

CORRELATION AND REGRESSION | 226 |

STATISTICAL INFERENCE | 259 |

### Common terms and phrases

allocation arithmetic mean assumes values ball drawn bar diagram Bernoulli trials binomial distribution birth calculated census class boundaries class intervals CM CM coefficient of correlation coin commodities computed considered construction continuous random variable corresponding cumulative frequency curve data given death rates defective denoted distribution with mean drawing equal equation estimate event Example Explain female Find the probability formula frequency distribution gives graph growth histogram index number India known large number Laspeyre's linear measure median method moving average normal distribution null hypothesis number of heads observations obtained parameter percentage Poisson distribution population mean price index number price relatives probability distribution probability of getting proportion ratio regression line replacement rj rj rj sample mean sample points sample space sample survey sampling distribution seasonal indices Section selected simple random sampling standard deviation statistical Suppose taken Theorem tossed total number trend values trial units weights