Elementary Statistics for Effective Library and Information Service Management

by Leo Egghe, Ronald Rousseau

Overview

This title describes how best to use statistical data to produce professional reports on library activities. The authors cover data gathering, sampling, graphical representation of data and summary statistics from data, and also include a section on trend analysis. A full bibliography and a subject index make this a key title for any information professional..

Product Details

ISBN-13:	9781135476366
Publisher:	Taylor & Francis
Publication date:	09/02/2003
Sold by:	Barnes & Noble
Format:	eBook
Pages:	126
File size:	3 MB

About the Author

Leo Egghe, Ronald Rousseau

Table of Contents

Introduction Part 1: Information about the library 1.1 Reports 1.2 Data gathering 1.3Data gathering in an electronic environment 1.4 Complete and incomplete data 1.5 How to sample 1.5.1 Random sampling 1.5.2 Systematic sampling 1.5.3 The Fussler sampling method 1.5.4 Structural sampling 1.6 What to sample 1.6.1 Collection 1.6.2 User Services 1.6.3 Automation and catalogue aspects 1.6.4 The personal 1.6.5 External relations 1.6.6 Budgets 1.6.7 Data on companies involved in the library's activities 1.7 Measuring scales 1.7.1 Normal scale 1.7.2 Rank order scale 1.7.3 Interval scale 1.7.4 Difference and ratio scales 1.7.5 Absolute scale Part 2: Descriptive statistics 2.1 Graphical aspects of data 2.1.1 Mathematical functions 2.1.2 Graphical representation of data 2.1.3 Problems with graphical representation 2.1.4 Scatterplots and regression lines 2.2 Measuring central tendencies and irregularity of data 2.2.1 The mean of average 2.2.2 The variance and the standard deviation 2.2.3 Median, quartile, percentile 2.2.4 Applications: box-whisker plots, 80/20 rule, Lorenz curves 2.2.5 Calculation of the equation of the regression line Part 3: Inferential statistics 3.1 Goal of part 3 3.2 First test for the mean: one sample and one set of measurements 3.3 Consequence of the first test of the mean: confidence intervals for the population mean µ 3.4 Second test for the mean: one sample but with two sets of measurements 3.5Third test for the mean: two samples 3.6 Sample sizes 3.6.1 Rough Argument 3.6.2 Logical correction and refinement 3.7Confidence intervals and sample sizes for multinomial fractions 3.7.1 Introduction 3.7.2 The correct method for determining multinomial confidence intervals 3.7.3 Sample sizes for multinomial confidence intervals 3.8 Epilogue: test for the quality of regression line of a scatterplot - the correlation coefficient Conclusion Appendix 1. Table of random number Appendix 2. Logic of calculations Appendix 3. Basic arithmetic on pocket calculators Appendix 4. List of notation Bibliography Subject Index