6 edition of Descriptive statistical techniques for librarians found in the catalog.
Includes bibliographical references (p. 311) and index.
|Statement||Arthur W. Hafner.|
|LC Classifications||Z669.8 .H33 1998|
|The Physical Object|
|Pagination||vii, 321 p. :|
|Number of Pages||321|
|LC Control Number||97019098|
This course book provides basic knowledge about empirical methods and statistical approaches for geography students. This book has a geographical and spatial point of view for general statistical methods. Therefore, this book goes a little bit further than generic statistical books. This textbook starts with generic statistical methods. This book is designed to introduce doctoral and graduate students to the process of scientific research in the social sciences, business, education, public health, and related disciplines. This book is based on my lecture materials developed over a decade of teaching the doctoral-level class on Research Methods at the University of South Florida. The target audience for this book includes Ph.D.
This updated Second Edition consistently integrates methods and statistics to prepare students for both graduate work and critical analysis of research as professionals and informed citizens. Maintaining the conversational writing style, multiple examples, and hands-on applications of key concepts that made the first edition so accessible, the authors enhance the new edition with additional. Pocket reference of Statistics with definition, terms and study notes. It contain essential information from lectures notes from teachers. Kind of hand note for Statistics study. This app included many short description. It will help to increase your exam score. If you like, don't forget to make a review. We are open for any suggestion. Included Information: # Statistics: Introduction Basic.
Descriptive statistics, as the name implies, refers to the statistics that describe your dataset. For a large dataset, it gives you a bite-sized summary that can help you understand your data. Imagine this as being the Resumé of the data you are going to work with, it tells you what your data holds. 2 days ago Quantitative methods emphasize objective measurements and the statistical, mathematical, or numerical analysis of data collected through polls, questionnaires, and surveys, or by manipulating pre-existing statistical data using computational tative research focuses on gathering numerical data and generalizing it across groups of people or to explain a particular .
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Seton Hall University Dean of Libraries Hafner (Democracy and the Public Library, Greenwood, ) has updated his classic (same name) on the application of statistical analysis tools in libraries.
This is a superb resource worthy of selection as an assigned text in MLIS statistics classes, or as a reference manual for practicing librarians. Fear no more: the completely updated and expanded Descriptive Statistical Techniques for Librarians, Second Edition, is the unmatched handbook for librarians working in all types and sizes of libraries.
Descriptive Statistical Techniques for Librarians. 2nd Edition. Hafner, Arthur W. A thorough understanding of the uses and applications of statistical techniques is integral in gaining support for library funding or new initiatives. This resource is designed to help practitioners develop and manipulate descriptive statistical information in evaluating library services, tracking and controlling limited resources, and analyzing data that supports a library's Cited by: 1.
Additional Physical Format: Online version: Hafner, Arthur Wayne, Descriptive statistical techniques for librarians. Chicago: American Library Association, Statistics for Library Decision Making: A Handbook and Descriptive Statistical Techniques for Librarians 1 Coronavirus: Find the latest articles and preprints.
Upon completing this chapter, you will be able to do the following: Comprehend the meaning of each descriptive statistic: number (n), mean (M), median, mode, standard deviation (SD), variance, minimum, maximum, and range. Understand central tendency. Load an SPSS data file. Order and interpret descriptive statistics for continuous variables: Frequency Statistics table, histogram with normal.
Descriptive statistics are used to summarize and present this data in a meaningful manner so that the underlying information is easily understood.
This chapter presents some of the tools for summarizing various kinds of data with the help of SPSS and MS Excel. Looks like. [English abstract] This unit introduces you to basics of statistics in general and procedures and techniques required for processing and analysing research data in particular.
Most of this book, as is the case with most statistics books, is concerned with statistical inference, meaning the practice of drawing conclusions about a population by using statistics calculated on a r, another type of statistics is the concern of this chapter: descriptive statistics, meaning the use of statistical and graphic techniques to present information about the data set.
There are four major types of descriptive statistics: 1. Measures of Frequency: * Count, Percent, Frequency. * Shows how often something occurs. * Use this when you want to show how often a response is given.
Measures of Central Tendency. * Mean, Median, and Mode. Explain the three approaches available for reporting descriptive statistics. Distinguish between association claims (inference of association) and causation claims (causal inference), and describe the mental process involved in moving from an association to a causation claim.
Compare and contrast the nuances of parameter testing (hypothesis) and parameter estimation for inferential statistics, and. This Introductory Statistics textbook by Shafer and Zhang is no exception. There is an introduction chapter (chapter 1) that sets out the main definitions and conceptual foundation for the rest of the book.
Descriptive statistics is covered in one chapter (chapter 2). Probability and related concepts are covered across four chapters (chapters ). "The book presents a detailed discussion of important statistical concepts and methods of data presentation and analysis.
-Provides detailed discussions on statistical applications including a comprehensive package of statistical tools that are specific to the laboratory experiment process. Descriptive research can be explained as a statement of affairs as they are at present with the researcher having no control over variable.
Moreover, “descriptive studies may be characterised as simply the attempt to determine, describe or identify what is, while analytical research attempts to establish why it is that way or how it came to be”. About this book Brings together techniques for the design and analysis of comparative studies.
include multivariate matching, standardization and stratification, analysis of covariance, logit analysis, and log linear analysis. Quantitatively assesses techniques' effectiveness.
• In twelve short chapters, your students will learn the purposes of descriptive statistics, their calculation, and proper interpretation.
• Actual data on the emotional health of foster-care adolescents are used throughout the book to illustrate various ways of deriving meaning from the data with descriptive statistics.
From the Association for Library and Information Science Education, the "ALISE Statistical Report and Database is a compilation and analysis of statistical data and information about graduate library and information science education programs in ALISE Institutional members.
This annual publication is now available on the web. Statistics for Engineers The frequency of a value is the number of observations taking that value.
A frequency table is a list of possible values and their frequencies. A bar chart consists of bars corresponding to each of the possible values, whose heights are equal to the frequencies.
Example The numbers of accidents experienced by 80 machinists in a certain industry over a. Library and information science (LIS) is a very broad discipline, which uses a wide rangeof constantly evolving research strategies and techniques.
The aim of this chapter is to provide an updated view of research issues in library and information science.
A stratified random sample of articles published in five prominent journals was analyzed and classified to identify (i) research. You can use descriptive statistical methods to transform raw observations into information that you can understand and share. You can use inferential statistical methods to reason from small samples of data to whole domains.
As a machine learning practitioner, you must have an understanding of statistical methods. Many students are using our Free Statistics Lab Manual\rwhich loads into most spreadsheets.\rIt is really a Quick way to learn.\rIt is a stand alone but was designed to use with our free\rQuick Notes Statistics textbooks.\rThis textbook free pd\.Description.
In Using Statistical Methods, Soleman Abu-Bader detects and addresses the gaps between the research and data analysis of the classroom environment and the practitioner's office. This book not only guides social scientists through different tests, but also provides students and researchers alike with information that will help them in their own practice.If you're looking for an easy-to-read, comprehensive introduction to statistics with a guide to SPSS, this is the book for you!
The new edition features: Clear explanations of all the main techniques of statistical analysis - A brand new student-friendly, easy-to-navigate design - Even more step-by-step screenshots of SPSS commands and outputs.