出版時(shí)間:2004-11 出版社:清華大學(xué)出版社 作者:Ron Larson,Betsy Farber 頁數(shù):580
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內(nèi)容概要
本書廣泛地使用案例分析的方法,通過大量的應(yīng)用實(shí)例,引導(dǎo)人們?nèi)绾握_地收集數(shù)據(jù)資料進(jìn)行統(tǒng)計(jì)分析,以得到有意義的參考性結(jié)論。本書在撰寫上具有以下特點(diǎn): ?。?)起點(diǎn)低,使用面廣,實(shí)用性強(qiáng),強(qiáng)調(diào)統(tǒng)計(jì)思想的內(nèi)涵與應(yīng)用。讀者只需具有高中數(shù)學(xué)知識(shí)就可以學(xué)習(xí)使用此書。不用微積分,不追求數(shù)學(xué)的形式邏輯思維,而代之以形象思維和直觀判斷?! 。?)編排上以案例形式展開,充分利用圖表分析闡述統(tǒng)計(jì)思想,引導(dǎo)出結(jié)論,并圍繞案例總結(jié)出關(guān)鍵概念?! 。?)內(nèi)容上是自封閉的,不需要先學(xué)概率論的知識(shí)?! 。?)在書中精心安排了許多學(xué)習(xí)技巧和注解,應(yīng)用與濫用的對(duì)比人例子以及簡(jiǎn)單統(tǒng)計(jì)軟件的使用等內(nèi)容。各章后附有大量習(xí)題和測(cè)試題,所附光盤中還提供了大量的數(shù)據(jù)。 ?。?)概括了直觀統(tǒng)計(jì)學(xué)及常用統(tǒng)計(jì)方法的基本內(nèi)容,有助于提高直覺推斷和形象思維。 本書適合經(jīng)管、人文與社會(huì)科學(xué)等專業(yè)的本科生或研究生使用。
作者簡(jiǎn)介
Ron Larson received his Ph.D.in mathematics from the University of Colorado in 1970.At that time he accepted a Position with Penn Stae University ,and he currently holds the rank of professor of mathemat-ics at the university.
書籍目錄
PrefaceFeaturesSupplementsAcknowledgementsHow do Study StatistcsChapter 1 Introduction to Statistics Where You've Been Where You've Going 1.1 An Overview of Statistics 1.2 Data Classification 1.3 Experimental DesignChapter 2 Descriptive Statistics Where You've Been Where You've Going 2.1 Frequency Distributions and Their Graphs 2.2 More Graphs and Displays 2.3 Measures of Vaiation 2.5 Measure of PositionChapter 3 Probability Where You've Been Where You've Going 3.1 Basic Concepts of Probaillity 3.2 Conditional probability and the Multiplication Rule 3.3 The Addition Rule 3.4 Counting PrinciplesChapter 4 Discrete Probability Distributions Where You've Been Where You've Going 4.1 Probability Distributions 4.2 Binomial Distributions 4.3 More Discrete Probability DistributionsChapter 5 Normal Probability DistributionsChapter 6 Confidence IntervalsChapter 7 Hypothesis Testing with One SampleChapter 8 Hypothesis Testing with Two SampleChapter 9 Correlation and RegressionChapter 10 Chi\|Square Tests and the F\|DistributionChapter 11 Nonparametric TestsAppedicesAnswers to the Try It Yourself ProlemsAnswers to the Odd-Numbered ExercisesCreditsIndex
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