Elementary Statistics for Effective Library and Information Service Management

Author:   Leo Egghe ,  Ronald Rousseau
Publisher:   Taylor & Francis Ltd
ISBN:  

9781138439412


Pages:   128
Publication Date:   15 August 2017
Format:   Hardback
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Our Price $368.00 Quantity:  
Add to Cart

Share |

Elementary Statistics for Effective Library and Information Service Management


Overview

Full Product Details

Author:   Leo Egghe ,  Ronald Rousseau
Publisher:   Taylor & Francis Ltd
Imprint:   Routledge
Weight:   0.453kg
ISBN:  

9781138439412


ISBN 10:   113843941
Pages:   128
Publication Date:   15 August 2017
Audience:   College/higher education ,  General/trade ,  Tertiary & Higher Education ,  General
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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

Reviews

Author Information

Leo Egghe, Ronald Rousseau

Tab Content 6

Author Website:  

Countries Available

All regions
Latest Reading Guide

NOV RG 20252

 

Shopping Cart
Your cart is empty
Shopping cart
Mailing List