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What is Descriptive Statistics

Handbook of Research on Connecting Research Methods for Information Science Research
Statistics used to describe, summarise, and organise data.
Published in Chapter:
Quantitative Data Analysis for Information Science Professionals
Regis Chireshe (Great Zimbabwe University, Zimbabwe & Zimbabwe Council for Higher Education, Zimbabwe)
DOI: 10.4018/978-1-7998-1471-9.ch018
Abstract
The chapter presents general aspects of quantitative data analysis as they relate to information sciences. The chapter is based on a literature review. It begins with explaining the meaning of data and quantitative data. Kinds of quantitative data are presented. The meaning of data analysis and the reasons for data analysis are also discussed. Reasons for quantitative data analysis are also discussed. The ‘what' and ‘why' of statistics in general and for information science researchers in particular is also presented. The chapter also presents the main issues of quantitative data analysis. Steps in quantitative data analysis are also presented. Preparation of quantitative data analysis is followed by a presentation on quantitative data analysis methods. The chapter highlights the popular quantitative data analysis software. A brief presentation on how quantitative data are presented and interpreted is given. The chapter ends with a discussion on the advantages and disadvantages of quantitative data analysis.
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More Results
Quantitative Data Analysis for Quality Control in Strategic Management
Common statistics include minimum and maximum, mean (average), median (middle value), quartiles, and standard deviations (which measure variability).
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Predicting Equity Returns in Developed Markets
A summary statistics that describes the basic aspects of the data.
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An Analysis of Gender Inequality in Professional Tennis: A Study of the Cozening Sport
Brief descriptive coefficients that summarize a given data set, which can be either a representation of the entire or a sample of a population.
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A Primer on Survey Research
Statistical analysis used to describe results using summary statistics and graphical displays.
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A Statistical-Probabilistic Path
Are brief descriptive coefficients that summarize a given data set, which can be either a representation of the entire or a sample of a population. Descriptive statistics are broken down into measures of central tendency and measures of variability (spread).
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