Egghe / Rousseau Elementary Statistics for Effective Library and Information Service Management

Erscheinungsjahr 2003
ISBN: 978-1-135-47637-3
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 126 Seiten

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.

Autoren/Hrsg.

Egghe, Leo

Rousseau, Ronald

Fachgebiete

• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
• Interdisziplinäres Bibliothekswesen, Informationswissenschaften Bibliothekswesen, Informationswissenschaften, Archivwesen
• Mathematik | Informatik Mathematik Stochastik Wahrscheinlichkeitsrechnung

Inhaltsverzeichnis

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