Leo Egghe, Ronald Rousseau

Elementary Statistics for Effective Library and Information Service Management

• Broschiertes Buch

Produktbeschreibung

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..

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Produktdetails

• Verlag: Routledge
• Seitenzahl: 128
• Erscheinungstermin: 1. Februar 2001
• Englisch
• Abmessung: 234mm x 156mm x 7mm
• Gewicht: 207g
• ISBN-13: 9780851424514
• ISBN-10: 0851424511
• Artikelnr.: 26756230

Autorenporträt

Leo Egghe, Ronald Rousseau

Inhaltsangabe

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